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{"sheet":"INTRODUCTION","index":0,"n_rows":15,"n_cols":1,"rows_kept":15}
["Introduction: Watershed Index Online (WSIO) HUC8 Indicator Data Tables"]
["Version 2.1 released May 6, 2020"]
["Area Coverage in this file: US Environmental Protection Agency Region 6 States (including AR, LA, NM, OK, TX) watershed indicator data at the HUC8 scale"]
["About WSIO: The Watershed Index Online (WSIO) is a US Environmental Protection Agency (EPA) website accessible at www.epa.gov/wsio. WSIO contains comparative analysis tools and an extensive, periodically updated watershed indicator data library. WSIO tools and data helps users compare watersheds in a user-defined geographic area, for a purpose of their choice, using factors they select as most relevant to their comparison. The content in the WSIO website and data tables is technical and intended for scientific audiences. Compilation and updating of WSIO watershed indicator information has involved EPA Regional Offices, Office of Water, Office of Research and Development, and Office of Environmental Information as well as EPA contractors and other collaborators."]
["Watershed Basics: A watershed – the land area that drains to one stream, lake, or river – affects the water quality in the waterbody that it surrounds. Like waterbodies (e.g., lakes, rivers, and streams), individual watersheds have similarities but also differ in many ways. Healthy watersheds not only maintain good water quality but also provide benefits to the communities of people and wildlife that live there. Every inch of the USA is part of a watershed – in other words, all land drains into a lake, river, stream, or other waterbody and directly affect its quality. We all live in a watershed, thus a watershed’s condition is important to everyone.\nComparing watershed differences is one way in which citizens, communities, and their government agencies learn about their environment, identify water pollution control options, and plan for effective lake, river or stream restoration and protection. There are literally hundreds of watershed characteristics (such as environmental traits, sources of degradation, and community factors) that may influence water quality, environmental health, and quality of life. WSIO provides a public service through making standardized information available on these hundreds of watershed characteristics across the conterminous US. \nWatersheds exist across a wide range of scales; the land surrounding a tiny, local creek and the entire Mississippi River basin are both watersheds. The widely used national Watershed Boundary Dataset (WBD) provides a standardized system to map watersheds at a series of scales that are catalogued by their Hydrologic Unit Codes, or HUCs. The WSIO information has been compiled at the HUC8 scale. Individual HUC8s average about 1,450 square miles in area, and 2,115 HUC8s cover the conterminous US. Because some HUC8 boundaries undergo minor revisions on a continual basis, all WSIO data have been standardized on the WBD HUC8 snapshot, an unchanging HUC8 boundaries dataset available at https://www.epa.gov/wsio/watershed-index-online-wsio-map-services-and-metadata\n"]
["WSIO Indicators: Basically, WSIO indicators are watershed characteristics measured in a consistent, repeatable manner across all watersheds of a given scale. Four basic categories of indicators occur in WSIO: Base, Ecological, Stressor, and Social. Of these four categories, three are generally relevant to watershed condition and one is not. The gradient of values for indicators in the three categories relevant to condition are directionally consistent within a given category; that is, a higher value for any indicator in the category would generally have the same implications for watershed condition.\nBase indicators are metrics such as watershed ID numbers, watershed size or total stream mileage that are value-neutral in that no inference is made about whether that characteristic has a positive or negative effect on watershed condition. Ecological indicators, such as percent natural vegetation cover or wetlands area, measure environmental traits that have a generally positive effect on watershed condition (i.e., a higher value for the indicator is better). Stressor indicators, such as percent impervious cover or stream length reported as impaired, measure environmental traits that have a generally negative effect on watershed condition (i.e., a higher value for the indicator is worse). Social indicators, such as percent protected lands and waters or existence of watershed restoration projects, measure societal traits that have a generally positive effect on watershed condition (i.e., a higher value for the indicator is better). Although the ecological, stressor, and social indicators have been compiled to be consistent in directionality of values within each category as a general rule, theoretically any indicator might have an opposite effect in some specific watershed comparisons. WSIO users are advised to consider whether the directionality of WSIO indicator values (whether higher values are better or worse) is consistent with their own intended use. For more about indicator categories, please visit www.epa.gov/rps. Note also that WSIO indicator values are local (i.e., measuring the attribute only within the HUC8 itself) not cumulative (i.e., measuring the attribute within the HUC8 itself plus all upstream HUC8s) watershed information. Most WSIO indicators can be converted to cumulative values using flow routing tools to determine the full extent of upstream watersheds.\n"]
["WSIO Data Table in this file:  WSIO indicator compilation on a national scale has been ongoing since 2008, and over a thousand nationwide indicators have been compiled and periodically updated during that time. Obsolete indicators are archived and current indicators are maintained in active data tables. The national WSIO dataset of December 2019 covering the lower 48 states has been divided into 10 smaller data tables, based on the ten EPA Regions which contain several states each. This file contains the national update of December 2019 that includes 329 indicators in total (36 Base, 81 Ecological, 177 Stressor and 36 Social). Exact count may vary because fields showing the percent of HUC8 area by state (which varies by region) also appear in the table; where a HUC8 straddles a state border, state information outside the EPA Region is included and the HUC8 data values are not truncated at the state or region border. Individual worksheets in this file include the following:"]
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["INTRODUCTION: this worksheet."]
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["GLOSSARY_DEFINITIONS: this worksheet contains several key terms and abbreviations that are frequently used throughout the WSIO indicator descriptions."]
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["INDICATOR_INFO: this is the metadata table with information about every WSIO active indicator found in this file.  Important fields include indicator name, field name, description, and source."]
[]
["WSIO_REGIONAL_DATA_TABLE: this is the actual WSIO data table; rows are HUC8 watersheds and columns are WSIO indicator values for those watersheds. Each column in this worksheet can be filtered by clicking the gray arrow on the right side of the column header. Filtering can be helpful for isolating values for only certain geographic areas within the EPA Region (e.g. filtering by state), or for looking at values that meet a certain threshold or other criteria (e.g. filtering for only non-zero values of a given numeric indicator). If necessary, the table can be exported to other common file formats such as .CSV to use in other geospatial tools."]

{"sheet":"GLOSSARY_DEFINITIONS","index":1,"n_rows":15,"n_cols":2,"rows_kept":15}
["Indicator Name/Glossary Term","Definition"]
["NHDPlus2","The National Hydrography Dataset Plus Version 2 (NHDPlus2) is a collection of geospatial datasets on the location and attributes of surface waters in the United States and their drainage areas. NHDPlus2 datasets are derived from static snapshots of the National Hydrography Dataset (NHD) surface water network, Watershed Boundary Dataset (WBD) hydrologic units (12-digit), and National Elevation Dataset (NED) topography. NHDPlus2 is the current standard for US EPA and many other users of nationally consistent geospatial data on surface waters. For more information and data access go to: http://www.horizon-systems.com/NHDPlus/NHDPlusV2_home.php."]
["NHD Snapshot","The NHDPlus2 National Hydrography Dataset Snapshot (NHD Snapshot) is a geospatial database of surface water features (rivers, streams, lakes, reservoirs, etc.) in the United States. The NHD Snapshot depicts the location of surface waters at medium resolution (1:100,000-scale or better) as line or polygon features with information on upstream/downstream connections. The NHD Snapshot is a static copy of the National Hydrography Dataset (NHD) maintained by the US Geological Survey which was used for development of NHDPlus2. Because the NHD undergoes frequent updates by USGS, and because improvements were applied during NHDPlus2 development, the NHD Snapshot is provided for download by NHDPlus2 developers to serve as a standard hydrography dataset for users."]
["NED Snapshot","The NHDPlus2 National Elevation Dataset Snapshot (NED Snapshot) is a geospatial gridded dataset of the land surface elevation of the United States at 30-meter resolution. The NED Snapshot is a static copy of the National Elevation Dataset (NED) maintained by the US Geological Survey (USGS) which was used for development of NHDPlus2. Because the NED undergoes frequent updates by USGS, the NED Snapshot is provided for download by NHDPlus2 developers to serve as a standard elevation dataset for users."]
["WBD Snapshot","The NHDPlus2 Watershed Boundary Dataset Snapshot (WBD Snapshot) is a geospatial dataset of surface water drainage area boundaries in the United States. The WBD Snapshot is a static copy of 12-digit hydrologic unit (HUC12) boundaries from the national Watershed Boundary Dataset (WBD), maintained by the US Geological Survey and Natural Resources Conservation Service, which was used for development of NHDPlus2. Because the WBD undergoes frequent updates by USGS and NRCS, the WBD Snapshot is provided for download by NHDPlus2 developers to serve as a standard HUC12 boundary dataset for users."]
["WBD Snapshot, EnviroAtlas Version","The EnviroAtlas version of the NHDPlus2 Watershed Boundary Dataset (WBD Snapshot, EnviroAtlas Version) is an edited version of HUC12 watershed delineations from the WBD Snapshot. To create the EnviroAtlas Version, the WBD Snapshot was clipped to the boundaries of the United States and manually edited to eliminate overlapping HUC12 boundaries. Additional information on the WBD Snapshot, EnviroAtlas Version can be found at: http://www.epa.gov/enviroatlas/enviroatlas-data-download-step-2."]
["WSIO HUC8 Snapshot","The Watershed Index Online (WSIO) HUC8 Snapshot is a static copy of 8-digit hydrologic unit (HUC8) boundaries from the national Watershed Boundary Dataset (WBD). The WSIO HUC8 Snapshot was used to develop the WSIO HUC8 indicator library. The WSIO HUC8 Snapshot was generated from 12-digit hydrologic unit (HUC12) boundaries in the WBD Snapshot, EnviroAtlas Version (February 2015) by combining polygons according to the first 8-digits of their HUC12 code. (See also WBD Snapshot, EnviroAtlas Version glossary definition)."]
["2016 CDL-NLCD Hybrid Land Cover","The 2016 CDL-NLCD Hybrid Land Cover dataset is a national land cover grid that combines the 2016 Cropland Data Layer (CDL) (December 2016 version) and the 2016 National Land Cover Database (NLCD) (January 2019 version) Land Cover datasets. The 2016 NLCD Land Cover dataset was used as the base layer. Agricultural land cover classes from the 2016 CDL were then overlaid onto the base layer except where single, isolated CDL crop pixels had less than 90% confidence in crop type classification. A 2011 version of this dataset was produced by EPA EnviroAtlas as a continuous 30 meter resolution grid for the United States; an analagous process was used to create the 2016 version. More information on the CDL-NLCD Hybrid Land Cover dataset can be found at: https://edg.epa.gov/EPADataCommons/public/ORD/EnviroAtlas/Metadata_WAF/National/LandCover11.xml."]
["Water Mask","The Water Mask is a geospatial grid dataset depicting the location of surface waters in the United States. The Water Mask combines surface water features in the NHDPlus2 with areas classified as open water or wetlands in the National Land Cover Database (NLCD) 2016 Land Cover dataset. The Water Mask was created by overlaying a grid of NHDPlus2 surface water features (the NHDPlus2 CatSeed grid) with pixels in the NLCD2016 Land Cover dataset classified as open water (code 11), woody wetlands (code 90), and emergent herbaceous wetlands (code 95). The spatial resolution of the Water Mask grid is 30 meters."]
["Wetness Index","The Wetness Index is a geospatial grid dataset of Wetness Index values for the United States. The Wetness Index is a relative measure of average soil moisture and runoff potential based on topography and is also known as the Topographic Index. The dataset stores a Wetness Index value for each grid pixel based on the magnitude of the pixel's upstream drainage area and pixel slope. The Wetness Index grid was generated from the NHDPlus2 NED Snapshot and NHDPlus2 Flow Accumulation grids using the following steps: (1) the NED Snapshot was used to create a gridded dataset of land surface slope in degrees; (2) a Wetness Index value was calculated for each grid pixel as ln(Flow Accumulation/tan(Slope)); (3) a smoothed Wetness Index grid was calculated as the average of step 2 values in each 3-by-3 pixel block; (4) the final Wetness Index value for each grid pixel was calculated as the average of the unsmoothed value (step 2) and the smoothed value (step 3). The spatial resolution of the Wetness Index grid is 30 meters."]
["Watershed (WS)","Watershed (WS) is used to describe indicators that are measured throughout the entire geographic area of the HUC8. Although all indicators are expressed as attributes of HUC8s, some indicators measure conditions throughout the entire geographic area of the HUC8, while others measure conditions within a subarea of the HUC8. For example, watershed (WS) land cover indicators measure land cover in the entire HUC8 while riparian zone (RZ) land cover indicators measure land cover in the buffer surrounding surface water features in the HUC8."]
["Riparian Zone (RZ)","The Riparian Zone (RZ) is the corridor of land adjacent to surface waters. The RZ is delineated for the United States in a geospatial grid dataset depicting surface water features and adjacent buffer areas. The RZ grid was generated by creating a 108 meter buffer around surface waters in the Water Mask grid. The buffer includes areas on both sides of surface waters and the buffer size of 108 meters was selected based on the spatial resolution of the Water Mask grid to approximate a 100 meter buffer. The spatial resolution of the RZ grid is 30 meters. (See also Water Mask glossary definition)."]
["Hydrologically Connected Zone (HCZ)","The Hydrologically Connected Zone (HCZ) is comprised of wet areas with high runoff potential that are contiguous to surface water. The HCZ is delineated for the United States for indicator calculations in a geospatial grid dataset depicting surface water features and wet areas that are contiguous to surface water. The HCZ grid was generated using the Wetness Index and Water Mask grids. The Wetness Index grid was first used to identify wet areas based on topography (i.e., low-lying, low-slope areas), defined as pixels with a Wetness Index of 550 or greater. The HCZ was then delineated as wet pixels in the Wetness Index grid that were also contiguous to surface water in the Water Mask. Wet pixels that were isolated from surface water were not included in the HCZ grid. The spatial resolution of the HCZ grid is 30 meters. (See also Water Mask and Wetness Index glossary definitions)."]
["Hydrologically Active Zone (HAZ)","The Hydrologically Active Zone (HAZ) is a geospatial grid dataset that combines the Riparian Zone grid and the Hydrologically Connected Zone grid. (See also Riparian Zone and Hydrologically Connected Zone definitions)."]
["EnviroAtlas","EnviroAtlas is a project led by EPA Office of Research and Development that provides tool and data for exploring the benefits that people receive from nature. The EnviroAtlas team has developed several geospatial datasets and dozens of indicators of watershed conditions measured for all HUC12s in the nation. EnviroAtlas indicators were aggregated from the HUC12 to HUC8 watershed scale for inclusion in the Watershed Index Online (WSIO) HUC8 indicator library. Additional information on EnviroAtlas can be found at: http://www.epa.gov/enviroatlas."]

{"sheet":"INDICATOR_INFO","index":2,"n_rows":329,"n_cols":6,"rows_kept":329}
["SORTING NUMERIC","INDICATOR TYPE","Indicator Name [50 CHARACTER]","Field_Name [30 CHAR LIMIT]","Watershed Indicator Description","Source"]
[0.13,"Base","Hydrologic Unit Code 8-Digit (HUC8)","HUC08","Eight-digit Hydrologic Unit Code (HUC8) from the WSIO HUC8 Snapshot (February 2015 version). The 8-digit Hydrologic Unit is a drainage area delineation in the Watershed Boundary Dataset (WBD) maintained by the US Geological Survey and Natural Resources Conservation Service. Each unit is identified by its 8-digit Hydrologic Unit Code (HUC) and is therefore referred to as a HUC8. (See also WSIO HUC8 Snapshot glossary definition).","NHDPlus2 WBD Snapshot, EnviroAtlas Version (February 2015 version)"]
[0.14,"Base","Name HUC8 Watershed","NAME_HUC08","Name of the 8-digit Hydrologic Unit Code (HUC8). Source data was the WBDHU8 geospatial dataset, June 2013 version (http://www.nrcs.usda.gov/wps/portal/nrcs/main/national/water/watersheds/dataset/; downloaded February 2014).","WBDHU8 (June 2013 version). Downloaded from NRCS WBD February 2014."]
[0.151,"Base","Hydrologic Unit Code 6-Digit (HUC6)","HUC06","Six-digit Hydrologic Unit Code (HUC6) that contains the HUC8. Calculated as the first 6-digits of the HUC8 code.","NHDPlus2 WBD Snapshot (Version 01; August 2012)"]
[0.152,"Base","Name HUC6 Watershed","NAME_HUC06","Name of the 6-digit Hydrologic Unit Code (HUC6) that contains the HUC8. Source data was the WBDHU6 geospatial dataset, June 2013 version (http://www.nrcs.usda.gov/wps/portal/nrcs/main/national/water/watersheds/dataset/; downloaded February 2014).","WBDHU6 (June 2013 version). Downloaded from NRCS WBD February 2014."]
[0.167,"Base","Flow Accumulation, Mean in WS","FLOW_ACCUMULATION_MEAN_WS","The mean value of flow accumulation in the HUC8 (units are number of upstream grid pixels). Flow accumulation is a topographic measure of the upstream drainage area of a location. Source data used were NHDPlus2 Flow Accumulation grids (30-meter resolution; downloaded October, 2012). (See also NHDPlus2 definition in glossary).","NHDPlus2 Flow Accumulation grids (downloaded October 2012)"]
[0.21,"Base","Area of HUC8 Watershed (Grid)","AREA__WS_GRID_SQMETER","The total area of the HUC8 in square meters. Calculated from a 30-meter resolution grid of HUC8 polygons in the WSIO HUC8 Snapshot (February 2015 version). (See also WSIO HUC8 Snapshot glossary definition).","Grid of WBD Snapshot, EnviroAtlas Version (February 2015 version). Grid is 30-meter resolution and aligned to NLCD2011 Land Cover grid."]
[0.22,"Base","% Land in HUC8 Watershed (2016)","LAND_PCT_WS","Percent of the HUC8 that is land (i.e., not classified as surface water by the Water Mask). Calculated from the Water Mask grid. Equation used: (HUC8 Area - Water Mask Area) / HUC8 Area * 100. (See also Water Mask glossary definition).","Water Mask (June 2019 version). Grid is 30-meter resolution and aligned to NLCD2016 Land Cover grid."]
[0.23,"Base","% Water in HUC8 Watershed (2016)","WATER_PCT_WS","Percent of the HUC8 that is surface water, as identified by the Water Mask. Source data was the Water Mask grid. Equation used: Water Mask Area / HUC8 Area * 100. (See also Water Mask glossary definition).","Water Mask (June 2019 version). Grid is 30-meter resolution and aligned to NLCD2016 Land Cover grid."]
[0.24,"Base","% Hydrologically Connected Zone (HCZ) in Watershed (2016)","HCZ_PCT_WS","Percent of the HUC8 that is in the Hydrologically Connected Zone (HCZ). Calculated from the Hydrologically Connected Zone grid (Summer 2019 version). Equation used: HCZ Area / HUC8 Area * 100. (See also Hydrologically Connected Zone glossary definition).","HCZ Grid (June 2019 version). HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[0.25,"Base","% Riparian Zone (RZ) in Watershed (2016)","RZ_PCT_WS","Percent of the HUC8 that is in the Riparian Zone (RZ). Calculated from the Riparian Zone grid (Summer 2019 version). Equation used: RZ Area / HUC8 Area * 100. (See also Riparian Zone glossary definition).","HCZ Grid (June 2019 version). HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[0.26,"Base","% Hydrologically Active Zone (HAZ) in Watershed (2016)","HAZ_PCT_WS","Percent of the HUC8 that is in the Hydrologically Active Zone (HAZ). Calculated from the Hydrologically Active Zone grid (Summer 2019 version). Equation used: HAZ Area / HUC8 Area * 100. (See also Hydrologically Active Zone glossary definition).","HCZ Grid (June 2019 version) and RZ Grid (June 2019 Version). HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[0.261,"Base","Area Hydrologically Active Zone (HAZ) in Watershed (2016)","HAZ_WS","Area of the HUC8 that is in the Hydrologically Active Zone (HAZ). Calculated from the Hydrologically Active Zone grid (Summer 2019 version). (See also Hydrologically Active Zone glossary definition).","HCZ Grid (June 2019 version) and RZ Grid (June 2019 version). HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[0.271,"Base","NHDPlus2 Streamlength","STREAMLGTH_NHD_MEDRES","Length of NHDPlus2 stream features in the HUC8 (kilometers). Source data was the NHDPlus2 NHD Snapshot. A pre-processing step was applied to the NHD Snapshot before calculating streamlength to remove linear water features that represented coastlines, pipelines, and lake/reservoir centerlines. Features in the NHD Snapshot used for streamlength calculations only include linear features with FTYPE (feature type) equal to StreamRiver, CanalDitch, or Connector. Linear features with FTYPE equal to ArtificialPath are only included if they pass through a NHDArea feature with FTYPE equal to StreamRiver. (See also NHD Snapshot glossary definitions).","NHDPlus2 NHD Snapshot. Downloaded March 2014. HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[0.272,"Base","NHD High Resolution Streamlength","STREAMLGTH_NHD_HIRES","Length of High Resolution National Hydrography Database (NHD) stream features in the HUC8 (kilometers). Source data was the USGS High Resolution NHD (downloaded April 2016; ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Hydrography/NHD/State/HighResolution). The High Resolution NHD dataset was developed at the 1:24,000-scale or higher, which adds detail to the medium resolution 1:100,000-scale NHD. A pre-processing step was applied to the High Resolution NHD before calculating streamlength to remove linear water features that represented coastlines, pipelines, and lake/reservoir centerlines. Features in the High Resolution NHD used for streamlength calculations only include linear features with FTYPE (feature type) equal to StreamRiver, CanalDitch, or Connector. Linear features with FTYPE equal to ArtificialPath are only included if they pass through a NHDArea feature with FTYPE equal to StreamRiver.","USGS High Resolution NHD. Downloaded April 2016. HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[0.281,"Base","NHDPlus2 Waterbody Area","WBAREA_NHD_MEDRES","Area of NHDPlus2 waterbody features in the HUC8 (square kilometers). Source data was the NHDPlus2 NHD Snapshot. (See also NHD Snapshot glossary definitions).","NHDPlus2 NHD Snapshot. Downloaded March 2014. HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[0.282,"Base","NHD High Resolution Waterbody Area","WBAREA_NHD_HIRES","Area of High Resolution National Hydrography Database (NHD) waterbody features in the HUC8 (square kilometers). Source data was the USGS High Resolution NHD (downloaded April 2016; ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Hydrography/NHD/State/HighResolution). The High Resolution NHD dataset was developed at the 1:24,000-scale or higher, which adds detail to the medium resolution 1:100,000-scale NHD. ","USGS High Resolution NHD. Downloaded April 2016. HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[0.31,"Base","All States in HUC8 (2013)","STATES_2013","List of all states that the HUC8 intersects. Source data was the US Census Bureau 2013 TIGER state boundary dataset (http://www2.census.gov/geo/tiger/TIGER2013/STATE/; downloaded July 2013). Calculated by intersecting HUC8s with the state boundaries dataset.","US Census Bureau TIGER state boundary polygons (2013 version). HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[0.311,"Base","State1 in HUC8 (2013)","STATE1_2013","Two-letter abbreviation for the first state that the HUC8 intersects (based on alphabetical order). Source data was the US Census Bureau 2013 TIGER state boundary dataset (http://www2.census.gov/geo/tiger/TIGER2013/STATE/; downloaded July 2013). Calculated by intersecting HUC8s with the state boundaries dataset.","US Census Bureau TIGER state boundary polygons (2013 version). HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[0.312,"Base","State2 in HUC8 (2013)","STATE2_2013","Two-letter abbreviation for the second state that the HUC8 intersects (based on alphabetical order). Source data was the US Census Bureau 2013 TIGER state boundary dataset (http://www2.census.gov/geo/tiger/TIGER2013/STATE/; downloaded July 2013). Calculated by intersecting HUC8s with the state boundaries dataset.","US Census Bureau TIGER state boundary polygons (2013 version). HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[0.313,"Base","State3 in HUC8 (2013)","STATE3_2013","Two-letter abbreviation for the third state that the HUC8 intersects (based on alphabetical order). Source data was the US Census Bureau 2013 TIGER state boundary dataset (http://www2.census.gov/geo/tiger/TIGER2013/STATE/; downloaded July 2013). Calculated by intersecting HUC8s with the state boundaries dataset.","US Census Bureau TIGER state boundary polygons (2013 version). HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[0.314,"Base","State4 in HUC8 (2013)","STATE4_2013","Two-letter abbreviation for the fourth state that the HUC8 intersects (based on alphabetical order). Source data was the US Census Bureau 2013 TIGER state boundary dataset (http://www2.census.gov/geo/tiger/TIGER2013/STATE/; downloaded July 2013). Calculated by intersecting HUC8s with the state boundaries dataset.","US Census Bureau TIGER state boundary polygons (2013 version). HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[0.316,"Base","Majority State in HUC8 (2013)","STATE_MAJ_2013","The majority state in the HUC8, defined as the state with the greatest area in the HUC8. Source data was the US Census Bureau 2013 TIGER state boundary dataset (http://www2.census.gov/geo/tiger/TIGER2013/STATE/; downloaded July 2013).","US Census Bureau TIGER state boundary polygons (2013 version). HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[0.33,"Base","% Tribal Lands in HUC8 Watershed","TRIBE_PCT","Percent of the HUC8 constituting Tribal lands. HUC8s with zero Tribal land area are left blank. Includes all lands associated with Federally recognized tribal entities: Federally recognized Reservations, Off-Reservation Trust Lands, and Census Oklahoma Tribal Statistical Areas. Source data was the EPA Tribal Areas for Lower 48 States geospatial dataset (February 2017 version; https://edg.epa.gov/data/PUBLIC/OEI/OIAA/METADATA/LOWER48_TRIBES%20-%20EPA%20Tribal%20Areas%20(1%20of%204)_%20Lower%2048%20States.xml). Equation used: Tribal Area / HUC8 Area * 100.","EPA Tribal Areas for Lower 48 States geospatial dataset (February 2017 version)."]
[0.331,"Base","Tribal Lands in HUC8 Flag","TRIBE_FLAG","Presence of any amount of Tribal lands within the HUC8. Values are \"Y\" for HUC8s with Tribal lands and blank for HUC8s with zero Tribal land area. Includes all lands associated with Federally recognized tribal entities: Federally recognized Reservations, Off-Reservation Trust Lands, and Census Oklahoma Tribal Statistical Areas. Source data was the EPA Tribal Areas for Lower 48 States geospatial dataset (February 2017 version; https://edg.epa.gov/data/PUBLIC/OEI/OIAA/METADATA/LOWER48_TRIBES%20-%20EPA%20Tribal%20Areas%20(1%20of%204)_%20Lower%2048%20States.xml).","EPA Tribal Areas for Lower 48 States geospatial dataset (February 2017 version)."]
[0.35,"Base","EPA Region","EPA_REGION","Identifies all EPA Regions that intersect the HUC8. Source data was a list of states in each EPA Region (http://www.epa.gov/aboutepa/visiting-regional-office) and the US Census Bureau 2013 TIGER state boundaries dataset (http://www2.census.gov/geo/tiger/TIGER2013/STATE; downloaded July 2013). Calculated by intersecting HUC8s with the state boundaries dataset and assigning EPA Regions based on states in the HUC8.","US Census Bureau TIGER state boundary polygons (2013 version). HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[0.361,"Base","All Counties in HUC8 (2016)","COUNTY_ALL","List of all counties that the HUC8 intersects. County names are followed by the two-letter state abbreviation that the county is located in. Source data was the US Census Bureau 2016 county boundary dataset http://www2.census.gov/geo/tiger/TIGER2016/COUNTY/; downloaded September 2016). Calculated by intersecting HUC8s with the county boundaries dataset.","US Census Bureau TIGER county boundary polygons (2016 version). HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[0.362,"Base","Majority County in HUC8 (2016)","COUNTY_MAJ","The majority county in the HUC8, defined as the county with the greatest area in the HUC8. The county name is followed by the two-letter state abbreviation that the county is located in. Source data was the US Census Bureau 2016 county boundary dataset http://www2.census.gov/geo/tiger/TIGER2016/COUNTY/; downloaded September 2016).","US Census Bureau TIGER county boundary polygons (2016 version). HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[0.401,"Base","ECOREGION2013_L3_CODES_ALL","ECOREGION2013_L3_CODES_ALL","List of Level III Ecoregion codes for ecoregions that intersect the HUC8. Ecoregion codes are comma-separated in order of largest to smallest area in the HUC8. Source data was the Level III Ecoregions of the Conterminous United States geospatial dataset (April 2013 version; http://archive.epa.gov/wed/ecoregions/web/html/level_iii_iv-2.html). Calculated by intersecting HUC8 polygons with ecoregion polygons.","Level III Ecoregions of the Conterminous United States. April 16, 2013 version. HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[0.402,"Base","ECOREGION2013L3_1STCODE","ECOREGION2013L3_1STCODE","The Level III Ecoregion code with the largest area in the HUC8. Source data was the Level III Ecoregions of the Conterminous United States geospatial dataset (April 2013 version; http://archive.epa.gov/wed/ecoregions/web/html/level_iii_iv-2.html). Calculated by intersecting HUC8 polygons with ecoregion polygons and selecting the ecoregion with the largest area in the HUC8.","Level III Ecoregions of the Conterminous United States. April 16, 2013 version. HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[0.51,"Base","SLP_MEAN_WS","SLP_MEAN_WS","Mean slope in the HUC8 (in degrees). Source data was the NHDPlus2 National Elevation Dataset (NED) Snapshot. (See also NED Snapshot glossary definition).","NHDPlus2 NED Snapshot, downloaded October 2012."]
[0.52,"Base","ELEVATION_CM__MEAN_WS","ELEVATION_CM__MEAN_WS","Mean elevation in the HUC8 (in centimeters). Source data was the NHDPlus2 National Elevation Dataset (NED) Snapshot. (See also NED Snapshot glossary definition).","NHDPlus2 NED Snapshot, downloaded October 2012."]
[0.521,"Base","ELEVATION_CM__MIN_WS","ELEVATION_CM__MIN_WS","Minimum elevation in the HUC8 (in centimeters). Source data was the NHDPlus2 National Elevation Dataset (NED) Snapshot. (See also NED Snapshot glossary definition).","NHDPlus2 NED Snapshot, downloaded October 2012."]
[0.522,"Base","ELEVATION_CM__MAX_WS","ELEVATION_CM__MAX_WS","Maximum elevation in the HUC8 (in centimeters). Source data was the NHDPlus2 National Elevation Dataset (NED) Snapshot. (See also NED Snapshot glossary definition).","NHDPlus2 NED Snapshot, downloaded October 2012."]
[0.541,"Base","AVGANUL_PRECIP81_10_IN_MEAN_WS","AVGANUL_PRECIP81_10_IN_MEAN_WS","Mean annual precipitation in the HUC8 (inches per year). Precipitation includes both rain and snowfall. Source data was an 800-meter resolution grid of 1981-2010 mean annual precipitation in millimeters from the PRISM Climate Group at Oregon State University (acquired October 2012). Calculated as the average of precipitation grid values per HUC8. This indicator was calculated for EPA EnviroAtlas. Additional information on source data and calculation methods can be found at: https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B2EE188C3-F66A-49CC-AD6D-EE7C59F1C137%7D.","EPA EnviroAtlas \"Average Annual Precipitation 1981-2010 by HUC8 for the Conterminous United States\" dataset. May 7, 2015 version."]
[0.71,"Base","% MS4 in HUC8 Watershed","MS4_PCT_WS","Percent of the HUC8 that is in Municipal Separate Storm Sewer Systems (MS4s). An MS4 is a drainage system that collects and conveys stormwater from developed lands. Includes MS4s that are regulated under the EPA National Pollutant Discharge Elimination System (NPDES) stormwater program; non-regulated MS4s are not counted. Source data was a geospatial dataset of MS4 boundaries developed circa-2010 by EPA Office of Waste Management (acquired via personal communication). The MS4 boundary dataset was created from a list of regulated MS4s, jurisdictional boundaries for municipalities and counties with regulated MS4s, and urbanized area boundaries from the US Census Bureau. Equation used: MS4 Area / HUC8 Area * 100.","Data from EPA Office of Wastewater Management, July 2014."]
[0.711,"Base","MS4 Area in WS","MS4_AREA_SQKM_WS","Area of Municipal Separate Storm Sewer Systems (MS4s) in the HUC8. An MS4 is a drainage system that collects and conveys stormwater from developed lands. Includes MS4s that are regulated under the EPA National Pollutant Discharge Elimination System (NPDES) stormwater program; non-regulated MS4s are not counted. Source data was a geospatial dataset of MS4 boundaries developed circa-2010 by EPA Office of Waste Management (acquired via personal communication). The MS4 boundary dataset was created from a list of regulated MS4s, jurisdictional boundaries for municipalities and counties with regulated MS4s, and urbanized area boundaries from the US Census Bureau.","Data from EPA Office of Wastewater Management, July 2014."]
[1.111,"Ecological","% Forest in WS (2016)","FOREST_CDLNLCD16_PCT_WS","Percent of the HUC8 classified as forest cover by the 2016 CDL-NLCD Hybrid Land Cover dataset. Forest cover classes include 'Deciduous Forest' (code 141), 'Evergreen Forest' (code 142), and 'Mixed Forest' (code 143) in the 2016 CDL-NLCD Hybrid Land Cover dataset. Calculated as Forest area divided by HUC8 area, multiplied by 100. (See also 2016 CDL-NLCD Hybrid Land Cover glossary definition).","2016 CDL-NLCD. HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[1.1111,"Ecological","% Deciduous Forest in WS (2016)","LC141_CDLNLCD16_PCT_WS","Percent of the HUC8 classified as 'Deciduous Forest' (code 141) by the 2016 CDL-NLCD Hybrid Land Cover dataset. Calculated as 'Deciduous Forest' area divided by HUC8 area, multiplied by 100. (See also 2016 CDL-NLCD Hybrid Land Cover glossary definition).","2016 CDL-NLCD. HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[1.1112,"Ecological","% Evergreen Forest in WS (2016)","LC142_CDLNLCD16_PCT_WS","Percent of the HUC8 classified as 'Evergreen Forest' (code 142) by the 2016 CDL-NLCD Hybrid Land Cover dataset. Calculated as 'Evergreen Forest' area divided by HUC8 area, multiplied by 100. (See also 2016 CDL-NLCD Hybrid Land Cover glossary definition).","2016 CDL-NLCD. HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[1.1113,"Ecological","% Mixed Forest in WS (2016)","LC143_CDLNLCD16_PCT_WS","Percent of the HUC8 classified as 'Mixed Forest' (code 143) by the 2016 CDL-NLCD Hybrid Land Cover dataset. Mixed forest includes a mixture of deciduous and evergreen tree species. Calculated as 'Mixed Forest' area divided by HUC8 area, multiplied by 100. (See also 2016 CDL-NLCD Hybrid Land Cover glossary definition).","2016 CDL-NLCD. HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[1.112,"Ecological","% Forest in HCZ (2016)","FOREST_CDLNLCD16_PCT_HZ","Percent of the HUC8 that is in the Hydrologically Connected Zone and classified as forest cover by the 2016 CDL-NLCD Hybrid Land Cover dataset. Forest cover classes include 'Deciduous Forest' (code 141), 'Evergreen Forest' (code 142), and 'Mixed Forest' (code 143) in the 2016 CDL-NLCD Hybrid Land Cover dataset. Calculated as forest area in the Hydrologically Connected Zone divided by HUC8 area, multiplied by 100. (See also 2016 CDL-NLCD Hybrid Land Cover and Hydrologically Connected Zone glossary definitions).","2016 CDL-NLCD and HCZ Grid (June 2019 version). HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[1.1121,"Ecological","% Deciduous Forest in HCZ (2016)","LC141_CDLNLCD16_PCT_HZ","Percent of the HUC8 that is in the Hydrologically Connected Zone and classified as 'Deciduous Forest' (code 141) by the 2016 CDL-NLCD Hybrid Land Cover dataset. Calculated as 'Deciduous Forest' area in the Hydrologically Connected Zone divided by HUC8 area, multiplied by 100. (See also 2016 CDL-NLCD Hybrid Land Cover and Hydrologically Connected Zone glossary definitions).","2016 CDL-NLCD and HCZ Grid (June 2019 version). HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[1.1122,"Ecological","% Evergreen Forest in HCZ (2016)","LC142_CDLNLCD16_PCT_HZ","Percent of the HUC8 that is in the Hydrologically Connected Zone and classified as 'Evergreen Forest' (code 142) by the 2016 CDL-NLCD Hybrid Land Cover dataset. Calculated as 'Evergreen Forest' area in the Hydrologically Connected Zone divided by HUC8 area, multiplied by 100. (See also 2016 CDL-NLCD Hybrid Land Cover and Hydrologically Connected Zone glossary definitions).","2016 CDL-NLCD and HCZ Grid (June 2019 version). HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[1.1123,"Ecological","% Mixed Forest in HCZ (2016)","LC143_CDLNLCD16_PCT_HZ","Percent of the HUC8 that is in the Hydrologically Connected Zone and classified as 'Mixed Forest' (code 143) by the 2016 CDL-NLCD Hybrid Land Cover dataset. Mixed forest includes a mixture of deciduous and evergreen tree species. Calculated as 'Mixed Forest' area in the Hydrologically Connected Zone divided by HUC8 area, multiplied by 100. (See also 2016 CDL-NLCD Hybrid Land Cover and Hydrologically Connected Zone glossary definitions).","2016 CDL-NLCD and HCZ Grid (June 2019 version). HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[1.113,"Ecological","% Forest in RZ (2016)","FOREST_CDLNLCD16_PCT_RZ","Percent of the HUC8 that is in the Riparian Zone and classified as forest cover by the 2016 CDL-NLCD Hybrid Land Cover dataset. Forest cover classes include 'Deciduous Forest' (code 141), 'Evergreen Forest' (code 142), and 'Mixed Forest' (code 143) in the 2016 CDL-NLCD Hybrid Land Cover dataset. Calculated as forest area in the Riparian Zone divided by HUC8 area, multiplied by 100. (See also 2016 CDL-NLCD Hybrid Land Cover and Riparian Zone glossary definitions).","2016 CDL-NLCD and RZ Grid (June 2019 version). HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[1.1131,"Ecological","% Deciduous Forest in RZ (2016)","LC141_CDLNLCD16_PCT_RZ","Percent of the HUC8 that is in the Riparian Zone and classified as 'Deciduous Forest' (code 141) by the 2016 CDL-NLCD Hybrid Land Cover dataset. Calculated as 'Deciduous Forest' area in the Riparian Zone divided by HUC8 area, multiplied by 100. (See also 2016 CDL-NLCD Hybrid Land Cover and Riparian Zone glossary definitions).","2016 CDL-NLCD and RZ Grid (June 2019 version). HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[1.1132,"Ecological","% Evergreen Forest in RZ (2016)","LC142_CDLNLCD16_PCT_RZ","Percent of the HUC8 that is in the Riparian Zone and classified as 'Evergreen Forest' (code 142) by the 2016 CDL-NLCD Hybrid Land Cover dataset. Calculated as 'Evergreen Forest' area in the Riparian Zone divided by HUC8 area, multiplied by 100. (See also 2016 CDL-NLCD Hybrid Land Cover and Riparian Zone glossary definitions).","2016 CDL-NLCD and RZ Grid June 2019 version). HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[1.1133,"Ecological","% Mixed Forest in RZ (2016)","LC143_CDLNLCD16_PCT_RZ","Percent of the HUC8 that is in the Riparian Zone and classified as 'Mixed Forest' (code 143) by the 2016 CDL-NLCD Hybrid Land Cover dataset. Mixed forest includes a mixture of deciduous and evergreen tree species. Calculated as 'Mixed Forest' area in the Riparian Zone divided by HUC8 area, multiplied by 100. (See also 2016 CDL-NLCD Hybrid Land Cover and Riparian Zone glossary definitions).","2016 CDL-NLCD and RZ Grid (June 2019 version). HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[1.114,"Ecological","% Forest Change in WS (2001-16)","FOREST_CHG_2001_16_PCT_WS","The change in the percentage of the HUC8 with forest cover from 2001 to 2016. Calculated from the National Land Cover Database 2016 (NLCD 2016) 2001 and 2016 Land Cover Datasets (January 2019 version). Forest cover classes include 'Deciduous Forest', 'Evergreen Forest', and 'Mixed Forest'; codes 41, 42, and 43 in the 2001 and 2016 Land Cover datasets. Positive values denote an increase in forest; negative values denote a decrease in forest. Does not count areas that changed to/from the 'Open Water' class (code 11) since these were assumed to be errors. Equation used: (Area Changing To Forest – Area Changing From Forest)/(HUC8 Area) * 100. ","NLCD 2016 - 2001 and 2016 Land Cover Datasets (January 2019 Version)."]
[1.115,"Ecological","% Forest Change in HCZ (2001-16)","FOREST_CHG_2001_16_PCT_HZ","The change in the percentage of the HUC8 with forest cover in the Hydrologically Connected Zone (HCZ) from 2001 to 2016. Calculated from the National Land Cover Database 2016 (NLCD 2016) 2001 and 2016 Land Cover Datasets (January 2019 version). Forest cover classes include 'Deciduous Forest', 'Evergreen Forest', and 'Mixed Forest' cover classes; codes 41, 42, and 43 in the 2001 and 2016 Land Cover datasets. Positive values denote an increase in forest; negative values denote a decrease in forest. Does not count areas that changed to/from the 'Open Water' class (code 11) since these were assumed to be errors. Equation used: (Area Changing To Forest in the HCZ – Area Changing From Forest in the HCZ)/(HUC8 Area) * 100. (See also Hydrologically Connected Zone glossary definition).","NLCD 2016 - 2001 and 2016 Land Cover Datasets (January 2019 Version); HCZ grid (June 2019 version)."]
[1.116,"Ecological","% Forest Change in RZ (2001-16)","FOREST_CHG_2001_16_PCT_RZ","The change in the percentage of the HUC8 with forest cover in the Riparian Zone (RZ) from 2001 to 2016. Calculated from the National Land Cover Database 2016 (NLCD 2016) 2001 and 2016 Land Cover Datasets (January 2019 version). Forest cover classes include 'Deciduous Forest', 'Evergreen Forest', and 'Mixed Forest'; codes 41, 42, and 43 in the 2001 and 2016 Land Cover datasets. Positive values denote an increase in forest; negative values denote a decrease in forest. Does not count areas that changed to/from the 'Open Water' class (code 11) since these were assumed to be errors. Equation used: (Area Changing To Forest in the RZ – Area Changing From Forest in the RZ)/(HUC8 Area) * 100. (See also Riparian Zone glossary definition).","NLCD 2016 - 2001 and 2016 Land Cover Datasets (January 2019 Version); RZ grid (June 2019 version)."]
[1.1171,"Ecological","% Forest Remaining in WS","PCT_FOREST_REMAIN","Percent of forest cover remaining relative to pre-development forest cover in the HUC8. Source data were the Existing Vegetation Type (EVT) geospatial grid dataset (March 2013 version) and the Biophysical Settings (BPS) geospatial grid dataset (January 2010 version) from the Landscape Fire and Resource Management Planning Tools (LANDFIRE) program (http://www.landfire.gov/viewer/). The EVT grid classifies existing vegetative cover across the US at 30-meter resolution. The BPS grid classifies vegetative cover that may have been dominant before Euro-American settlement across the at 30-meter resolution. Vegetation classes in the EVT grid were generalized to 'Forest' or 'Non-Forest' based on descriptive attributes to calculate the area of remaining forest cover in the HUC8. Vegetation classes in the BPS grid were generalized to 'Forest' or 'Non-Forest' based on descriptive attributes to calculate the area of pre-development forest cover in the HUC8. Equation used: Existing Forest Area in HUC8 / Pre-Development Forest Area in HUC8 * 100. Only calculated for HUC8s with pre-development forest area greater than or equal to 5% of HUC8 area.","LANDFIRE BPS grid (January 16, 2014 version) and LANDFIRE EVT grid (April 23, 2015 version). HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[1.121,"Ecological","% Shrub/Scrub in WS (2016)","LC152_CDLNLCD16_PCT_WS","Percent of the HUC8 classified as 'Shrub/Scrub' (code 152) by the 2016 CDL-NLCD Hybrid Land Cover dataset. Calculated as 'Shrub/Scrub' area divided by HUC8 area, multiplied by 100. (See also 2016 CDL-NLCD Hybrid Land Cover glossary definition).","2016 CDL-NLCD. HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[1.122,"Ecological","% Shrub/Scrub in HCZ (2016)","LC152_CDLNLCD16_PCT_HZ","Percent of the HUC8 that is in the Hydrologically Connected Zone and classified as 'Shrub/Scrub' (code 152) by the 2016 CDL-NLCD Hybrid Land Cover dataset. Calculated as 'Shrub/Scrub' area in the Hydrologically Connected Zone divided by HUC8 area, multiplied by 100. (See also 2016 CDL-NLCD Hybrid Land Cover and Hydrologically Connected Zone glossary definitions).","2016 CDL-NLCD and HCZ Grid (June 2019 version). HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[1.123,"Ecological","% Shrub/Scrub in RZ (2016)","LC152_CDLNLCD16_PCT_RZ","Percent of the HUC8 that is in the Riparian Zone and classified as 'Shrub/Scrub' (code 152) by the 2016 CDL-NLCD Hybrid Land Cover dataset. Calculated as 'Shrub/Scrub' area in the Riparian Zone divided by HUC8 area, multiplied by 100. (See also 2016 CDL-NLCD Hybrid Land Cover and Riparian Zone glossary definitions).","2016 CDL-NLCD and RZ Grid (June 2019 version). HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[1.131,"Ecological","% Grassland/Herbaceous in WS (2016)","LC171_CDLNLCD16_PCT_WS","Percent of the HUC8 classified as 'Grassland/Herbaceous' (code 171) by the 2016 CDL-NLCD Hybrid Land Cover dataset. Calculated as 'Grassland/Herbaceous' area divided by HUC8 area, multiplied by 100. (See also 2016 CDL-NLCD Hybrid Land Cover glossary definition). ","2016 CDL-NLCD. HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[1.132,"Ecological","% Grassland/Herbaceous in HCZ (2016)","LC171_CDLNLCD16_PCT_HZ","Percent of the HUC8 that is in the Hydrologically Connected Zone and classified as 'Grassland/Herbaceous' (code 171) by the 2016 CDL-NLCD Hybrid Land Cover dataset. Calculated as 'Grassland/Herbaceous' area in the Hydrologically Connected Zone divided by HUC8 area, multiplied by 100. (See also 2016 CDL-NLCD Hybrid Land Cover and Hydrologically Connected Zone glossary definitions).","2016 CDL-NLCD and HCZ Grid (June 2019 version). HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[1.133,"Ecological","% Grassland/Herbaceous in RZ (2016)","LC171_CDLNLCD16_PCT_RZ","Percent of the HUC8 that is in the Riparian Zone and classified as 'Grassland/Herbaceous' (code 171) by the 2016 CDL-NLCD Hybrid Land Cover dataset. Calculated as 'Grassland/Herbaceous' area in the Riparian Zone divided by HUC8 area, multiplied by 100. (See also 2016 CDL-NLCD Hybrid Land Cover and Riparian Zone glossary definitions).","2016 CDL-NLCD and RZ Grid (June 2019 version). HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[1.141,"Ecological","% Wetlands in WS (2016)","WETLANDS_CDLNLCD16_PCT_WS","Percent of the HUC8 classified as wetland cover by the 2016 CDL-NLCD Hybrid Land Cover dataset. Wetland cover classes include 'Woody Wetlands' (code 190), and 'Emergent Herbaceous Wetlands' (code 195) in the 2016 CDL-NLCD Hybrid Land Cover dataset. Calculated as wetland area divided by HUC8 area, multiplied by 100. (See also 2016 CDL-NLCD Hybrid Land Cover glossary definition).","2016 CDL-NLCD. HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[1.142,"Ecological","% Wetlands in HCZ (2016)","WETLANDS_CDLNLCD16_PCT_HZ","Percent of the HUC8 that is in the Hydrologically Connected Zone and classified as wetland cover by the 2016 CDL-NLCD Hybrid Land Cover dataset. Wetland cover classes include 'Woody Wetlands' (code 190), and 'Emergent Herbaceous Wetlands' (code 195) in the 2016 CDL-NLCD Hybrid Land Cover dataset. Calculated as wetland area in the Hydrologically Connected Zone divided by HUC8 area, multiplied by 100. (See also 2016 CDL-NLCD Hybrid Land Cover and Hydrologically Connected Zone glossary definitions).","2016 CDL-NLCD and HCZ Grid (June 2019 version). HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[1.143,"Ecological","% Wetlands in RZ (2016)","WETLANDS_CDLNLCD16_PCT_RZ","Percent of the HUC8 that is in the Riparian Zone and classified as wetland cover by the 2016 CDL-NLCD Hybrid Land Cover dataset. Wetland cover classes include 'Woody Wetlands' (code 190), and 'Emergent Herbaceous Wetlands' (code 195) in the 2016 CDL-NLCD Hybrid Land Cover dataset. Calculated as wetland area in the Riparian Zone divided by HUC8 area, multiplied by 100. (See also 2016 CDL-NLCD Hybrid Land Cover and Riparian Zone glossary definitions).","2016 CDL-NLCD and RZ Grid (June 2019 version). HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[1.1441,"Ecological","% Wetlands Change in WS (2001-16)","WETLAND_CHG_2001_16_PCT_WS","The change in the percentage of the HUC8 with wetland cover from 2001 to 2016. Calculated from the National Land Cover Database 2016 (NLCD 2016) 2001 and 2016 Land Cover Datasets (January 2019 version). Wetlands cover classes include 'Woody Wetlands' and 'Emergent Herbaceous Wetlands'; codes 90 and 95 in the 2001 and 2016 Land Cover datasets. Positive values denote an increase in wetlands; negative values denote a decrease in wetlands. Does not count areas that changed to/from the 'Open Water' class (code 11) since these were assumed to be errors. Equation used: (Area Changing To Wetlands – Area Changing From Wetlands)/(HUC8 Area) * 100. ","NLCD 2016 - 2001 and 2016 Land Cover Datasets (January 2019 Version)."]
[1.1442,"Ecological","% Wetlands Change in HCZ (2001-16)","WETLAND_CHG_2001_16_PCT_HZ","The change in the percentage of the HUC8 with wetland cover in the Hydrologically Connected Zone (HCZ) from 2001 to 2016. Calculated from the National Land Cover Database 2016 (NLCD 2016) 2001 and 2016 Land Cover Datasets (January 2019 version). Wetland cover classes include 'Woody Wetlands' and 'Emergent Herbaceous Wetlands'; codes 90 and 95 in the 2001 and 2016 Land Cover datasets. Positive values denote an increase in wetlands; negative values denote a decrease in wetlands. Does not count areas that changed to/from the 'Open Water' class (code 11) since these were assumed to be errors. Equation used: (Area Changing To Wetlands in the HCZ – Area Changing From Wetlands in the HCZ)/(HUC8 Area) * 100. (See also Hydrologically Connected Zone glossary definition).","NLCD 2016 - 2001 and 2016 Land Cover Datasets (January 2019 Version); HCZ grid (June 2019 version)."]
[1.1443,"Ecological","% Wetlands Change in RZ (2001-16)","WETLAND_CHG_2001_16_PCT_RZ","The change in the percentage of the HUC8 with wetland cover in the Riparian Zone (RZ) from 2001 to 2016. Calculated from the National Land Cover Database 2016 (NLCD 2016) 2001 and 2016 Land Cover Datasets (January 2019 version). Wetlands cover classes include 'Woody Wetlands' and 'Emergent Herbaceous Wetlands'; codes 90 and 95 in the 2001 and 2016 Land Cover datasets. Positive values denote an increase in wetlands; negative values denote a decrease in wetlands. Does not count areas that changed to/from the 'Open Water' class (code 11) since these were assumed to be errors. Equation used: (Area Changing to Wetlands in the RZ – Area Changing From Wetlands in the RZ)/(HUC8 Area) * 100. (See also Riparian Zone glossary definition).","NLCD 2016 - 2001 and 2016 Land Cover Datasets (January 2019 Version); RZ grid (June 2019 version)."]
[1.1451,"Ecological","% Emergent Herbaceous Wetlands in WS (2016)","LC195_CDLNLCD16_PCT_WS","Percent of the HUC8 classified as 'Emergent Herbaceous Wetlands' (code 195) by the 2016 CDL-NLCD Hybrid Land Cover dataset. Calculated as 'Emergent Herbaceous Wetlands' area divided by HUC8 area, multiplied by 100. (See also 2016 CDL-NLCD Hybrid Land Cover glossary definition).","2016 CDL-NLCD. HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[1.1452,"Ecological","% Emergent Herbaceous Wetlands in HCZ (2016)","LC195_CDLNLCD16_PCT_HZ","Percent of the HUC8 that is in the Hydrologically Connected Zone and classified as 'Emergent Herbaceous Wetlands' (code 195) by the 2016 CDL-NLCD Hybrid Land Cover dataset. Calculated as 'Emergent Herbaceous Wetlands' area in the Hydrologically Connected Zone divided by HUC8 area, multiplied by 100. (See also 2016 CDL-NLCD Hybrid Land Cover and Hydrologically Connected Zone glossary definitions).","2016 CDL-NLCD and HCZ Grid (June 2019 version). HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[1.1453,"Ecological","% Emergent Herbaceous Wetlands in RZ (2016)","LC195_CDLNLCD16_PCT_RZ","Percent of the HUC8 that is in the Riparian Zone and classified as 'Emergent Herbaceous Wetlands' (code 195) by the 2016 CDL-NLCD Hybrid Land Cover dataset. Calculated as 'Emergent Herbaceous Wetlands' area in the Riparian Zone divided by HUC8 area, multiplied by 100. (See also 2016 CDL-NLCD Hybrid Land Cover and Riparian Zone glossary definitions).","2016 CDL-NLCD and RZ Grid (June 2019 version). HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[1.1461,"Ecological","% Woody Wetlands in WS (2016)","LC190_CDLNLCD16_PCT_WS","Percent of the HUC8 classified as 'Woody Wetlands' (code 190) by the 2016 CDL-NLCD Hybrid Land Cover dataset. Calculated as 'Woody Wetlands' area divided by HUC8 area, multiplied by 100. (See also 2016 CDL-NLCD Hybrid Land Cover glossary definition).","2016 CDL-NLCD. HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[1.1462,"Ecological","% Woody Wetlands in HCZ (2016)","LC190_CDLNLCD16_PCT_HZ","Percent of the HUC8 that is in the Hydrologically Connected Zone and classified as 'Woody Wetlands' (code 190) by the 2016 CDL-NLCD Hybrid Land Cover dataset. Calculated as 'Woody Wetlands' area in the Hydrologically Connected Zone divided by HUC8 area, multiplied by 100. (See also 2016 CDL-NLCD Hybrid Land Cover and Hydrologically Connected Zone glossary definitions).","2016 CDL-NLCD and HCZ Grid (June 2019 version). HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[1.1463,"Ecological","% Woody Wetlands in RZ (2016)","LC190_CDLNLCD16_PCT_RZ","Percent of the HUC8 that is in the Riparian Zone and classified as 'Woody Wetlands' (code 190) by the 2016 CDL-NLCD Hybrid Land Cover dataset. Calculated as 'Woody Wetlands' area in the Riparian Zone divided by HUC8 area, multiplied by 100. (See also 2016 CDL-NLCD Hybrid Land Cover and Riparian Zone glossary definitions).","2016 CDL-NLCD and RZ Grid (June 2019 version). HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[1.1471,"Ecological","% Wetlands Remaining in WS","PCT_WETLANDS_REMAINING","Percent of wetland cover remaining relative to pre-development wetland cover in the HUC8. Source data were the Existing Vegetation Type (EVT) geospatial grid dataset (March 2013 version) and the Environmental Site Potential (ESP) geospatial grid dataset (January 2010 version) from the Landscape Fire and Resource Management Planning Tools (LANDFIRE) program (http://www.landfire.gov/viewer/). The EVT grid classifies existing vegetative cover across the US at 30-meter resolution. The ESP grid classifies the climax vegetative cover that could be supported at a given site in the absence of human development at 30-meter resolution. Vegetation classes in the EVT grid were generalized to 'Wetland' or 'Non-Wetland' based on descriptive attributes to calculate the area of remaining wetland cover in the HUC8. Vegetation classes in the ESP grid were generalized to 'Wetland' or 'Non-Wetland' based on descriptive attributes to calculate the area of pre-development wetland cover in the HUC8. Equation used: Existing Wetland Area in HUC8 / Pre-Development Wetland Area in HUC8 * 100. Only calculated for HUC8s with pre-development wetland area greater than or equal to 1% of HUC8 area.","LANDFIRE ESP grid (December 19, 2013 version) and LANDFIRE EVT grid (April 23, 2015 version). HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[1.151,"Ecological","% Open Water in WS (2016)","LC111_CDLNLCD16_PCT_WS","Percent of the HUC8 classified as 'Open Water' (code 111) by the 2016 CDL-NLCD Hybrid Land Cover dataset. Calculated as 'Open Water' area divided by HUC8 area, multiplied by 100. (See also 2016 CDL-NLCD Hybrid Land Cover glossary definition).","2016 CDL-NLCD. HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[1.152,"Ecological","% Open Water in HCZ (2016)","LC111_CDLNLCD16_PCT_HZ","Percent of the HUC8 that is in the Hydrologically Connected Zone and classified as 'Open Water' (code 111) by the 2016 CDL-NLCD Hybrid Land Cover dataset. Calculated as 'Open Water' area in the Hydrologically Connected Zone divided by HUC8 area, multiplied by 100. (See also 2016 CDL-NLCD Hybrid Land Cover and Hydrologically Connected Zone glossary definitions).","2016 CDL-NLCD and HCZ Grid (June 2019 version). HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[1.153,"Ecological","% Open Water in RZ (2016)","LC111_CDLNLCD16_PCT_RZ","Percent of the HUC8 that is in the Riparian Zone and classified as 'Open Water' (code 111) by the 2016 CDL-NLCD Hybrid Land Cover dataset. Calculated as 'Open Water' area in the Riparian Zone divided by HUC8 area, multiplied by 100. (See also 2016 CDL-NLCD Hybrid Land Cover and Riparian Zone glossary definitions).","2016 CDL-NLCD and RZ Grid (June 2019 version). HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[1.161,"Ecological","% Perennial Ice/Snow in WS (2016)","LC112_CDLNLCD16_PCT_WS","Percent of the HUC8 classified as 'Perennial Ice/Snow' (code 112) by the 2016 CDL-NLCD Hybrid Land Cover dataset. Calculated as 'Perennial Ice/Snow' area divided by HUC8 area, multiplied by 100. (See also 2016 CDL-NLCD Hybrid Land Cover glossary definition). ","2016 CDL-NLCD. HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[1.162,"Ecological","% Perennial Ice/Snow in HCZ (2016)","LC112_CDLNLCD16_PCT_HZ","Percent of the HUC8 that is in the Hydrologically Connected Zone and classified as 'Perennial Ice/Snow' (code 112) by the 2016 CDL-NLCD Hybrid Land Cover dataset. Calculated as 'Perennial Ice/Snow' area in the Hydrologically Connected Zone divided by HUC8 area, multiplied by 100. (See also 2016 CDL-NLCD Hybrid Land Cover and Hydrologically Connected Zone glossary definitions).","2016 CDL-NLCD and HCZ Grid (June 2019 version). HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[1.163,"Ecological","% Perennial Ice/Snow in RZ (2016)","LC112_CDLNLCD16_PCT_RZ","Percent of the HUC8 that is in the Riparian Zone and classified as 'Perennial Ice/Snow' (code 112) by the 2016 CDL-NLCD Hybrid Land Cover dataset. Calculated as 'Perennial Ice/Snow' area in the Riparian Zone divided by HUC8 area, multiplied by 100. (See also 2016 CDL-NLCD Hybrid Land Cover and Riparian Zone glossary definitions).","2016 CDL-NLCD and RZ Grid (June 2019 version). HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[1.171,"Ecological","% Barren Land in WS (2016)","LC131_CDLNLCD16_PCT_WS","Percent of the HUC8 classified as 'Barren Land (Rock/Sand/Clay)' (code 131) by the 2016 CDL-NLCD Hybrid Land Cover dataset. Calculated as 'Barren Land (Rock/Sand/Clay)' area divided by HUC8 area, multiplied by 100. (See also 2016 CDL-NLCD Hybrid Land Cover glossary definition). ","2016 CDL-NLCD. HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[1.172,"Ecological","% Barren Land in HCZ (2016)","LC131_CDLNLCD16_PCT_HZ","Percent of the HUC8 that is in the Hydrologically Connected Zone and classified as 'Barren Land (Rock/Sand/Clay)' (code 131) by the 2016 CDL-NLCD Hybrid Land Cover dataset. Calculated as 'Barren Land (Rock/Sand/Clay)' area in the Hydrologically Connected Zone divided by HUC8 area, multiplied by 100. (See also 2016 CDL-NLCD Hybrid Land Cover and Hydrologically Connected Zone glossary definitions).","2016 CDL-NLCD and HCZ Grid (June 2019 version). HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[1.173,"Ecological","% Barren Land in RZ (2016)","LC131_CDLNLCD16_PCT_RZ","Percent of the HUC8 that is in the Riparian Zone and classified as 'Barren Land (Rock/Sand/Clay)' (code 131) by the 2016 CDL-NLCD Hybrid Land Cover dataset. Calculated as 'Barren Land (Rock/Sand/Clay)' area in the Riparian Zone divided by HUC8 area, multiplied by 100. (See also 2016 CDL-NLCD Hybrid Land Cover and Riparian Zone glossary definitions).","2016 CDL-NLCD and RZ Grid (June 2019 version). HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[1.211,"Ecological","% Woody Vegetation in WS (2016)","WOODY_CDLNLCD16_PCT_WS","Percent of the HUC8 classified as woody vegetation cover by the 2016 CDL-NLCD Hybrid Land Cover dataset. Woody vegetation cover classes include 'Deciduous Forest' (code 141), 'Evergreen Forest' (code 142), 'Mixed Forest' (code 143), 'Shrub/Scrub' (code 152), and 'Woody Wetlands' (code 190) in the 2016 CDL-NLCD Hybrid Land Cover dataset. Calculated as woody vegetation area divided by HUC8 area, multiplied by 100. (See also 2016 CDL-NLCD Hybrid Land Cover glossary definition).","2016 CDL-NLCD. HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[1.212,"Ecological","% Woody Vegetation in HCZ (2016)","WOODY_CDLNLCD16_PCT_HZ","Percent of the HUC8 that is in the Hydrologically Connected Zone and classified as woody vegetation cover by the 2016 CDL-NLCD Hybrid Land Cover dataset. Woody vegetation cover classes include 'Deciduous Forest' (code 141), 'Evergreen Forest' (code 142), 'Mixed Forest' (code 143), 'Shrub/Scrub' (code 152), and 'Woody Wetlands' (code 190) in the 2016 CDL-NLCD Hybrid Land Cover dataset. Calculated as woody vegetation area in the Hydrologically Connected Zone divided by HUC8 area, multiplied by 100. (See also 2016 CDL-NLCD Hybrid Land Cover and Hydrologically Connected Zone glossary definitions).","2016 CDL-NLCD and HCZ Grid (June 2019 version). HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[1.213,"Ecological","% Woody Vegetation in RZ (2016)","WOODY_CDLNLCD16_PCT_RZ","Percent of the HUC8 that is in the Riparian Zone and classified as woody vegetation cover by the 2016 CDL-NLCD Hybrid Land Cover dataset. Woody vegetation cover classes include 'Deciduous Forest' (code 141), 'Evergreen Forest' (code 142), 'Mixed Forest' (code 143), 'Shrub/Scrub' (code 152), and 'Woody Wetlands' (code 190) in the 2016 CDL-NLCD Hybrid Land Cover dataset. Calculated as woody vegetation area in the Riparian Zone divided by HUC8 area, multiplied by 100. (See also 2016 CDL-NLCD Hybrid Land Cover and Riparian Zone glossary definitions).","2016 CDL-NLCD and RZ Grid (June 2019 version). HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[1.214,"Ecological","% Woody Vegetation Change in WS (2001-16)","WOODY_CHG_2001_16_PCT_WS","The change in the percentage of the HUC8 with woody vegetation cover from 2001 to 2016. Calculated from the National Land Cover Database 2016 (NLCD 2016) 2001 and 2016 Land Cover Datasets (January 2019 version). Woody vegetation cover classes include 'Deciduous Forest', 'Evergreen Forest', 'Mixed Forest', 'Shrub/Scrub', and 'Woody Wetlands'; codes 41, 42, 43, 52, and 90 in the 2001 and 2016 Land Cover datasets. Positive values denote an increase in woody vegetation; negative values denote a decrease in woody vegetation. Does not count areas that changed to/from the 'Open Water' class (code 11) since these were assumed to be errors. Equation used: (Area Changing To Woody Vegetation – Area Changing From Woody Vegetation)/(HUC8 Area) * 100.","NLCD 2016 - 2001 and 2016 Land Cover Datasets (January 2019 Version)."]
[1.224,"Ecological","% Woody Vegetation Change in HCZ (2001-16)","WOODY_CHG_2001_16_PCT_HZ","The change in the percentage of the HUC8 with woody vegetation cover in the Hydrologically Connected Zone (HCZ) from 2001 to 2016. Calculated from the National Land Cover Database 2016 (NLCD 2016) 2001 and 2016 Land Cover Datasets (January 2019 version). Woody vegetation cover classes include 'Deciduous Forest', 'Evergreen Forest', 'Mixed Forest', 'Shrub/Scrub', and 'Woody Wetlands'; codes 41, 42, 43, 52, and 90 in the 2001 and 2016 Land Cover datasets. Positive values denote an increase in woody vegetation; negative values denote a decrease in woody vegetation. Does not count areas that changed to/from the 'Open Water' class (code 11) since these were assumed to be errors. Equation used: (Area Changing To Woody Vegetation in the HCZ – Area Changing From Woody Vegetation in the HCZ)/(HUC8 Area) * 100. (See also Hydrologically Connected Zone glossary definition).","NLCD 2016 - 2001 and 2016 Land Cover Datasets (January 2019 Version); HCZ grid (June 2019 version)."]
[1.234,"Ecological","% Woody Vegetation Change in RZ (2001-16)","WOODY_CHG_2001_16_PCT_RZ","The change in the percentage of the HUC8 with woody vegetation cover in the Riparian Zone (RZ) from 2001 to 2016. Calculated from the National Land Cover Database 2016 (NLCD 2016) 2001 and 2016 Land Cover Datasets (January 2019 version). Woody vegetation cover classes include 'Deciduous Forest', 'Evergreen Forest', 'Mixed Forest', 'Shrub/Scrub', and 'Woody Wetlands'; codes 41, 42, 43, 52, and 90 in the 2001 and 2016 Land Cover datasets. Positive values denote an increase in woody vegetation; negative values denote a decrease in woody vegetation. Does not count areas that changed to/from the 'Open Water' class (code 11) since these were assumed to be errors. Equation used: (Area Changing To Woody Vegetation in the RZ – Area Changing From Woody Vegetation in the RZ)/(HUC8 Area) * 100. (See also Riparian Zone glossary definition).","NLCD 2016 - 2001 and 2016 Land Cover Datasets (January 2019 Version); RZ grid (June 2019 version)."]
[1.2611,"Ecological","% Streamlength Near < 5% Imperv Cover (2016)","str0to5p_16","Percent of streamlength in the HUC8 that is within 30 meters of areas with less than 5% impervious cover. Impervious cover source data was the National Land Cover Database 2016 (NLCD 2016) Percent Developed Imperviousness dataset; a national grid of percent imperviousness at the 30 meter scale (https://www.mrlc.gov/data/nlcd-2016-percent-developed-imperviousness-conus; January 2019 version). Stream location source data was the NHDPlus2 NHD Snapshot (downloaded June 2014). Streams were defined as linear features in the NHD Snapshot with FCODE (feature code) equal to 33400, 46000, 46003, 46006, or 46007; and polygon features with FCODE equal to 46003 or 46006. Calculated as the length of streams in the NHD Snapshot that are within 30 meters of grid pixels with less than 5% impervious cover, divided by the total streamlength in the HUC8, multiplied by 100. (See also NHD Snapshot glossary definition).","Based on analysis of the proximity of impervious cover to water features by EPA using NLCD 2016 Percent Developed Imperviousness dataset and NHDPlus2 NHD Snapshot."]
[1.2623,"Ecological","% Lakeshore Length Near < 5% Imperv Cover (2016)","lak0to5p_16","Percent of lakeshore length in the HUC8 that is within 30 meters of areas with less than 5% impervious cover. Impervious cover source data was the National Land Cover Database 2016 (NLCD 2016) Percent Developed Imperviousness dataset; a national grid of percent imperviousness at the 30 meter scale (https://www.mrlc.gov/data/nlcd-2016-percent-developed-imperviousness-conus; January 2019 version). Lakeshore location source data was the NHDPlus2 NHD Snapshot (downloaded June 2014). Lakeshores were defined as the perimeter of polygon features in the NHD Snapshot with FCODE (feature code) equal to 39001, 39004, 39009, 39010, 43600, or 43601. Calculated as the length of lakeshores in the NHD Snapshot that are within 30 meters of grid pixels with less than 5% impervious cover, divided by the total lakeshore length in the HUC8, multiplied by 100. (See also NHD Snapshot glossary definition).","Based on analysis of the proximity of impervious cover to water features by EPA using NLCD 2016 Percent Developed Imperviousness dataset and NHDPlus2 NHD Snapshot."]
[1.263,"Ecological","% All Waters Length Near < 5% Imperv Cover (2016)","strlak0to5p_16","Percent of stream and lakeshore length in the HUC8 that is within 30 meters of areas with less than 5% impervious cover. Impervious cover source data was the National Land Cover Database 2016 (NLCD 2016) Percent Developed Imperviousness dataset; a national grid of percent imperviousness at the 30 meter scale (https://www.mrlc.gov/data/nlcd-2016-percent-developed-imperviousness-conus; January 2019 version). Stream and lakeshore location source data was the NHDPlus2 NHD Snapshot (downloaded June 2014). Streams were defined as linear features in the NHD Snapshot with FCODE (feature code) equal to 33400, 46000, 46003, 46006, or 46007; and polygon features with FCODE equal to 46003 or 46006. Lakeshores were defined as the perimeter of polygon features in the NHD Snapshot with FCODE (feature code) equal to 39001, 39004, 39009, 39010, 43600, or 43601. Calculated as the length of streams and lakeshores in the NHD Snapshot that are within 30 meters of grid pixels with less than 5% impervious cover, divided by the total stream and lakeshore length in the HUC8, multiplied by 100. (See also NHD Snapshot glossary definition).","Based on analysis of the proximity of impervious cover to water features by EPA using NLCD 2016 Percent Developed Imperviousness dataset and NHDPlus2 NHD Snapshot."]
[1.311,"Ecological","% N-Index1 in WS (2016)","N_INDEX_CDLNLCD16_PCT_WS","Percent of the HUC8 classified as natural land cover (including barren land) by the 2016 CDL-NLCD Hybrid Land Cover dataset. Natural land cover classes in the N-Index1 include barren, forest, wetlands, shrubland, and grassland; codes 131, 141 through 143, 152, 171, 190, and 195 in the 2016 CDL-NLCD Hybrid Land Cover dataset. Equation used: N-Index1 Area / HUC8 Area * 100. (See also 2016 CDL-NLCD Hybrid Land Cover glossary definition).","2016 CDL-NLCD. HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[1.312,"Ecological","% N-Index1 in HCZ (2016)","N_INDEX_CDLNLCD16_PCT_HZ","Percent of the HUC8 that is in the Hydrologically Connected Zone (HCZ) and classified as natural land cover (including barren land) by the 2016 CDL-NLCD Hybrid Land Cover dataset. Natural land cover classes in the N-Index1 include barren, forest, wetlands, shrubland, and grassland; codes 131, 141 through 143, 152, 171, 190, and 195 in the 2016 CDL-NLCD Hybrid Land Cover dataset. Equation used: Area of N-Index1 in HCZ / HUC8 Area * 100. (See also 2016 CDL-NLCD Hybrid Land Cover and Hydrologically Connected Zone glossary definitions).","2016 CDL-NLCD and HCZ Grid (June 2019 version). HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[1.313,"Ecological","% N-Index1 in RZ (2016)","N_INDEX_CDLNLCD16_PCT_RZ","Percent of the HUC8 that is in the Riparian Zone (RZ) and classified as natural land cover (including barren land) by the 2016 CDL-NLCD Hybrid Land Cover dataset. Natural land cover classes in the N-Index1 include barren, forest, wetlands, shrubland, and grassland; codes 131, 141 through 143, 152, 171, 190, and 195 in the 2016 CDL-NLCD Hybrid Land Cover dataset. Equation used: Area of N-Index1 in RZ / HUC8 Area * 100. (See also 2016 CDL-NLCD Hybrid Land Cover and Riparian Zone glossary definitions).","2016 CDL-NLCD and RZ Grid (June 2019 version). HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[1.3139,"Ecological","% N-Index1 in HAZ (2016)","N_INDEX_CDLNLCD16_PCT_HAZ","Percent of the HUC8 that is in the Hydrologically Active Zone (HAZ) and classified as natural land cover (including barren land) by the 2016 CDL-NLCD Hybrid Land Cover dataset. Natural land cover classes in the N-Index1 include barren, forest, wetlands, shrubland, and grassland; codes 131, 141 through 143, 152, 171, 190, and 195 in the 2016 CDL-NLCD Hybrid Land Cover dataset. Equation used: N-Index1 Area in HAZ / HUC8 Area * 100. (See also 2016 CDL-NLCD Hybrid Land Cover and Hydrologically Active Zone glossary definitions).","2016 CDL-NLCD and HAZ Grid (June 2019 version). HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[1.314,"Ecological","% N-Index1 Change in WS (2001-16)","N_INDEX_CHG_2001_16_PCT_WS","The change in the percentage of the HUC8 with natural cover (including barren land) from 2001 to 2016. Calculated from the National Land Cover Database 2016 (NLCD 2016) 2001 and 2016 Land Cover Datasets (January 2019 version). Natural cover classes included in the N-Index1 are 'Barren Land (Rock/Sand/Clay)', 'Deciduous Forest', 'Evergreen Forest', 'Mixed Forest', 'Shrub/Scrub', 'Grassland/Herbaceous', 'Woody Wetlands', and 'Herbaceous Wetlands' cover classes; codes 31, 41, 42, 43, 52, 71, 90, and 95 in the 2001 and 2016 Land Cover datasets. Positive values denote an increase in N-Index1; negative values denote a decrease in N-Index1. Does not count areas that changed to/from the 'Open Water' class (code 11) since these were assumed to be errors. Equation used: (Area Changing to N-Index1 – Area Changing From N-Index1)/(HUC8 Area) * 100. ","NLCD 2016 - 2001 and 2016 Land Cover Datasets (January 2019 Version)."]
[1.315,"Ecological","% N-Index1 Change in HCZ (2001-16)","N_INDEX_CHG_2001_16_PCT_HZ","The change in the percentage of the HUC8 with natural cover (including barren land) in the Hydrologically Connected Zone (HCZ) from 2001 to 2016. Calculated from the National Land Cover Database 2016 (NLCD 2016) 2001 and 2016 Land Cover Datasets (January 2019 version). Natural cover classes included in the N-Index1 are 'Barren Land (Rock/Sand/Clay)', 'Deciduous Forest', 'Evergreen Forest', 'Mixed Forest', 'Shrub/Scrub', 'Grassland/Herbaceous', 'Woody Wetlands', and 'Herbaceous Wetlands' cover classes; codes 31, 41, 42, 43, 52, 71, 90, and 95 in the 2001 and 2016 Land Cover datasets. Positive values denote an increase in N-Index1; negative values denote a decrease in N-Index1. Does not count areas that changed to/from the 'Open Water' class (code 11) since these were assumed to be errors. Equation used: (Area Changing to N-Index1 in the HCZ – Area Changing From N-Index1 in the HCZ)/(HUC8 Area) * 100. (See also Hydrologically Connected Zone glossary definition).","NLCD 2016 - 2001 and 2016 Land Cover Datasets (January 2019 Version); HCZ grid (June 2019 version)."]
[1.316,"Ecological","% N-Index1 Change in RZ (2001-16)","N_INDEX_CHG_2001_16_PCT_RZ","The change in the percentage of the HUC8 with natural land cover (including barren land) in the Riparian Zone (RZ) from 2001 to 2016. Calculated from the National Land Cover Database 2016 (NLCD 2016) 2001 and 2016 Land Cover Datasets (January 2019 version). Natural cover classes included in the N-Index1 are 'Barren Land (Rock/Sand/Clay)', 'Deciduous Forest', 'Evergreen Forest', 'Mixed Forest', 'Shrub/Scrub', 'Grassland/Herbaceous', 'Woody Wetlands', and 'Herbaceous Wetlands' cover classes; codes 31, 41, 42, 43, 52, 71, 90, and 95 in the 2001 and 2016 Land Cover datasets. Positive values denote an increase in N-Index1; negative values denote a decrease in N-Index1. Does not count areas that changed to/from the 'Open Water' class (code 11) since these were assumed to be errors. Equation used: (Area Changing to N-Index1 in the RZ – Area Changing From N-Index1 in the RZ)/(HUC8 Area) * 100. (See also Riparian Zone glossary definition).","NLCD 2016 - 2001 and 2016 Land Cover Datasets (January 2019 Version); RZ grid (June 2019 version)."]
[1.318,"Ecological","% N-Index1 Contiguous to Water in WS (2016)","N_NDEX_16_CON_H2O_PCT_WS","Percent of the HUC8 that is classified as natural land cover (including barren land) and contiguous to surface water. This indicator does not count areas with natural land cover in the HUC8 that are buffered from surface water by other land use types. Source data used were the Water Mask and the 2016 CDL-NLCD Hybrid Land Cover dataset. Natural land cover classes in the N-Index include barren, forest, wetlands, shrubland, and grassland; codes 131, 141 through 143, 152, 171, 190, and 195 in the 2016 CDL-NLCD Hybrid Land Cover dataset. Equation used: N-Index1 Contiguous to Water Area / HUC8 Area * 100. (See also Water Mask and 2016 CDL-NLCD Hybrid Land Cover glossary definitions).","2016 CDL-NLCD and Water Mask (June 2019 version). HUC8 Version: NHDPlus2 WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[1.321,"Ecological","% N-Index2 in WS (2016)","N_INDEX2_CDLNLCD16_PCT_WS","Percent of the HUC8 classified as natural land cover (excluding barren land) by the 2016 CDL-NLCD Hybrid Land Cover dataset. Natural land cover classes in the N-Index2 include forest, wetlands, shrubland, and grassland; codes 141 through 143, 152, 171, 190, and 195 in the 2016 CDL-NLCD Hybrid Land Cover dataset. Equation used: N-Index2 Area / HUC8 Area * 100. (See also 2016 CDL-NLCD Hybrid Land Cover glossary definition).","2016 CDL-NLCD. HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[1.322,"Ecological","% N-Index2 in HCZ (2016)","N_INDEX2_CDLNLCD16_PCT_HZ","Percent of the HUC8 that is in the Hydrologically Connected Zone (HCZ) and classified as natural land cover (excluding barren land) by the 2016 CDL-NLCD Hybrid Land Cover dataset. Natural land cover classes in the N-Index2 include forest, wetlands, shrubland, and grassland; codes 141 through 143, 152, 171, 190, and 195 in the 2016 CDL-NLCD Hybrid Land Cover dataset. Equation used: Area of N-Index2 in HCZ / HUC8 Area * 100. (See also 2016 CDL-NLCD Hybrid Land Cover and Hydrologically Connected Zone glossary definitions).","2016 CDL-NLCD and HCZ Grid (June 2019 version). HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[1.323,"Ecological","% N-Index2 in RZ (2016)","N_INDEX2_CDLNLCD16_PCT_RZ","Percent of the HUC8 that is in the Riparian Zone (RZ) and classified as natural land cover (excluding barren land) by the 2016 CDL-NLCD Hybrid Land Cover dataset. Natural land cover classes in the N-Index2 include forest, wetlands, shrubland, and grassland; codes 141 through 143, 152, 171, 190, and 195 in the 2016 CDL-NLCD Hybrid Land Cover dataset. Equation used: Area of N-Index2 in RZ / HUC8 Area * 100. (See also 2016 CDL-NLCD Hybrid Land Cover and Riparian Zone glossary definitions).","2016 CDL-NLCD and RZ Grid (June 2019 version). HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[1.3239,"Ecological","% N-Index2 in HAZ (2016)","N_INDEX2_CDLNLCD16_PCT_HAZ","Percent of the HUC8 that is in the Hydrologically Active Zone (HAZ) and classified as natural land cover (excluding barren land) by the 2016 CDL-NLCD Hybrid Land Cover dataset. Natural land cover classes in the N-Index2 include forest, wetlands, shrubland, and grassland; codes 141 through 143, 152, 171, 190, and 195 in the 2016 CDL-NLCD Hybrid Land Cover dataset. Equation used: N-Index2 Area in HAZ / HUC8 Area * 100. (See also 2016 CDL-NLCD Hybrid Land Cover and Hydrologically Active Zone glossary definitions).","2016 CDL-NLCD and HAZ Grid (June 2019 version). HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[1.324,"Ecological","% N-Index2 Change in WS (2001-16)","N_INDEX2_CHG_2001_16_PCT_WS","The change in the percentage of the HUC8 with natural cover (excluding barren land) from 2001 to 2016. Calculated from the National Land Cover Database 2016 (NLCD 2016) 2001 and 2016 Land Cover Datasets (January 2019 version). Natural cover classes included in the N-Index2 are 'Deciduous Forest', 'Evergreen Forest', 'Mixed Forest', 'Shrub/Scrub', 'Grassland/Herbaceous', 'Woody Wetlands', and 'Herbaceous Wetlands' cover classes; codes 41, 42, 43, 52, 71, 90, and 95 in the 2001 and 2016 Land Cover datasets. Positive values denote an increase in N-Index2; negative values denote a decrease in N-Index2. Does not count areas that changed to/from the 'Open Water' class (code 11) since these were assumed to be errors. Equation used: (Area Changing To N-Index2 – Area Changing From N-Index2)/(HUC8 Area) * 100.","NLCD 2016 - 2001 and 2016 Land Cover Datasets (January 2019 Version)."]
[1.325,"Ecological","% N-Index2 Change in HCZ (2001-16)","N_INDEX2_CHG_2001_16_PCT_HZ","The change in the percentage of the HUC8 with natural cover (excluding barren land) in the Hydrologically Connected Zone (HCZ) from 2001 to 2016. Calculated from the National Land Cover Database 2016 (NLCD 2016) 2001 and 2016 Land Cover Datasets (January 2019 version). Natural cover classes included in the N-Index2 are 'Deciduous Forest', 'Evergreen Forest', 'Mixed Forest', 'Shrub/Scrub', 'Grassland/Herbaceous', 'Woody Wetlands', and 'Herbaceous Wetlands' cover classes; codes 41, 42, 43, 52, 71, 90, and 95 in the 2001 and 2016 Land Cover datasets. Positive values denote an increase in N-Index2; negative values denote a decrease in N-Index2. Does not count areas that changed to/from the 'Open Water' class (code 11) since these were assumed to be errors. Equation used: (Area Changing To N-Index2 in the HCZ – Area Changing From N-Index2 in the HCZ)/(HUC8 Area) * 100. (See also Hydrologically Connected Zone glossary definition).","NLCD 2016 - 2001 and 2016 Land Cover Datasets (January 2019 Version); HCZ grid (June 2019 version)."]
[1.326,"Ecological","% N-Index2 Change in RZ (2001-16)","N_INDEX2_CHG_2001_16_PCT_RZ","The change in the percentage of the HUC8 with natural land cover (excluding barren land) in the Riparian Zone (RZ) from 2001 to 2016. Calculated from the National Land Cover Database 2016 (NLCD 2016) 2001 and 2016 Land Cover Datasets (January 2019 version). Natural cover classes included in the N-Index2 are 'Deciduous Forest', 'Evergreen Forest', 'Mixed Forest', 'Shrub/Scrub', 'Grassland/Herbaceous', 'Woody Wetlands', and 'Herbaceous Wetlands' cover classes; codes 41, 42, 43, 52, 71, 90, and 95 in the 2001 and 2016 Land Cover datasets. Positive values denote an increase in N-Index2; negative values denote a decrease in N-Index2. Does not count areas that changed to/from the 'Open Water' class (code 11) since these were assumed to be errors. Equation used: (Area Changing to N-Index2 in the RZ – Area Changing From N-Index2 in the RZ)/(HUC8 Area) * 100. (See also Riparian Zone glossary definition).","NLCD 2016 - 2001 and 2016 Land Cover Datasets (January 2019 Version); RZ grid (June 2019 version)."]
[1.328,"Ecological","% N-Index2 Contiguous to Water in WS (2016)","N_NDEX2_16_CON_H2O_PCT_WS","Percent of the HUC8 that is classified as natural land cover (excluding barren land) and contiguous to surface water. This indicator does not count areas with natural land cover in the HUC8 that are buffered from surface water by other land use types. Source data used were the Water Mask and the 2016 CDL-NLCD Hybrid Land Cover dataset. Natural land cover classes in the N-Index include forest, wetlands, shrubland, and grassland; codes 141 through 143, 152, 171, 190, and 195 in the 2016 CDL-NLCD Hybrid Land Cover dataset. Equation used: N-Index2 Contiguous to Water Area / HUC8 Area * 100. (See also Water Mask and 2016 CDL-NLCD Hybrid Land Cover glossary definitions).","2016 CDL-NLCD and Water Mask (June 2019 version). HUC8 Version: NHDPlus2 WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[1.3311,"Ecological","% National Ecological Framework (NEF) in WS (2001)","NEF2001_PCT_WS","Percent of the HUC8 that is part of the 2001 National Ecological Framework (NEF). The NEF is a GIS based model of the connectivity of natural landscapes in the lower 48 United States. The NEF is comprised of Hubs and Corridors, with Hubs defined as Priority Ecological Areas that are greater than 5,000 acres in size. Source data was the 2001 NEF geospatial dataset produced by EPA Region 4, http://cfpub.epa.gov/roe/documents/NEF_brochure.pdf. Equation used: NEF Area / HUC8 Area * 100.","EPA Region 4 2001 National Ecological Framework dataset"]
[1.3321,"Ecological","% NEF Hubs in WS (2001)","HUBS_NEF2001_PCT_WS","Percent of the HUC8 that is classified as a Hub by the 2001 National Ecological Framework (NEF). The NEF is a GIS-based model of the connectivity of natural landscapes in the lower 48 United States. The NEF is comprised of Hubs and Corridors, with Hubs defined as Priority Ecological Areas that are greater than 5,000 acres in size. Source data used was the 2001 NEF produced by EPA Region 4, http://cfpub.epa.gov/roe/documents/NEF_brochure.pdf. Equation used: Hub Area / HUC8 Area * 100.","EPA Region 4 2001 National Ecological Framework dataset"]
[1.3331,"Ecological","% NEF Corridors in WS (2001)","CORRIDORS_NEF2001_PCT_WS","Percent of the HUC8 that is classified as a Corridor by the 2001 National Ecological Framework (NEF). The NEF is a GIS based model of the connectivity of natural landscapes in the lower 48 United States. The NEF is comprised of Hubs and Corridors, with Hubs defined as Priority Ecological Areas that are greater than 5,000 acres in size. Corridors are defined as linkages between Hubs and were determined using a cost surface analysis to determine the least human disturbance pathway between individual Hubs. Source data used was the 2001 NEF produced by EPA Region 4, http://cfpub.epa.gov/roe/documents/NEF_brochure.pdf. Equation used: Corridor Area / HUC8 Area * 100.","EPA Region 4 2001 National Ecological Framework dataset"]
[1.3341,"Ecological","% NEF Auxiliary Areas in WS (2001)","AUXAREA_NEF2001_PCT_WS","Percent of the HUC8 that is in Auxiliary Areas to the 2001 National Ecological Framework (NEF). The NEF is a GIS based model of the connectivity of natural landscapes in the lower 48 United States (http://cfpub.epa.gov/roe/documents/NEF_brochure.pdf). The NEF is comprised of Hubs and Corridors, with Hubs defined as Priority Ecological Areas that are greater than 5,000 acres in size. Auxiliary Areas are defined as areas with natural land cover that are contiguous to the NEF. Source data was the 2001 NEF geospatial dataset produced by EPA Region 4, http://cfpub.epa.gov/roe/documents/NEF_brochure.pdf. Equation used: Auxiliary Area / HUC8 Area * 100.","EPA Region 4 2001 National Ecological Framework dataset"]
[1.4211,"Ecological","Soil Stability, Mean in WS","WS_SOILSTABILITY","Mean soil stability in the HUC8. Soil stability is the inverse of soil erodibility. Source data was a 100-meter resolution grid of soil map units and attributes in the Natural Resources Conservation Service (NRCS) Soil Survey Geographic (STATSGO2) database, acquired from the US Geological Survey in July 2013. Mean soil erodibility was calculated as the average of erodibility grid values per HUC8. Mean soil stability was calculated as 1 - Mean soil erodibility.","NRCS Soil Survey Geographic (STATSGO2) database, acquired from the US Geological Survey (USGS) in July 2013. HUC8 Version: NHDPlus2 WBD Snapshot (Version 03)."]
[1.4212,"Ecological","Soil Stability, Mean in HCZ","HCZ_SOILSTABILITY","Mean soil stability in the Hydrologically Connected Zone (HCZ) of the HUC8. Soil stability is the inverse of soil erodibility. Source data was a 100-meter resolution grid of soil map units and attributes in the Natural Resources Conservation Service (NRCS) Soil Survey Geographic (STATSGO2) database, acquired from the US Geological Survey in July 2013. Mean soil erodibility in the HCZ was calculated as the average of erodibility grid values in the HCZ per HUC8. Mean soil stability was calculated as 1 - Mean soil erodibility. (See also Hydrologically Connected Zone glossary definition).","NRCS Soil Survey Geographic (STATSGO2) database, acquired from the US Geological Survey (USGS) in July 2013. HUC8 Version: NHDPlus2 WBD Snapshot (Version 03)."]
[1.511,"Ecological","% Canopy Cover, Mean Value in WS (2016)","PCT_CANOPY_COVER2016_MEAN_WS","Mean value of percent tree canopy cover in the HUC8 from the National Land Cover Database (NLCD) 2016 USFS Tree Canopy dataset (October 2019 version; https://www.mrlc.gov/data/nlcd-2016-usfs-tree-canopy-cover-conus). The NLCD 2016 USFS Tree Canopy dataset provides an estimate of the percent tree canopy cover (0 to 100%) for each 30 meter grid pixel in the US. Calculated as the mean of percent tree canopy cover values in the HUC8.","2016 NLCD USGS Tree Canopy dataset (October 2019 version)."]
[1.521,"Ecological","Carbon Storage by Tree Biomass ","CARBON_STORE_TREE_BIO_MASS_WS","The amount of carbon stored in above ground live forest biomass in the HUC8 (kilograms carbon per meter). Source data was the National Biomass and Carbon Dataset (NBCD) for the year 2000 developed by the Woods Hole Research Center. The NBCD is a 30-meter resolution gridded dataset of above ground live dry biomass. This indicator was calculated for EPA EnviroAtlas. Detailed information on source data and calculation methods can be found at: https://edg.epa.gov/metadata/rest/document?id=%7B60BE4324-84B3-4C0F-A9A3-22E198F814E6%7D","EPA EnviroAtlas \"Above Ground Live Biomass Carbon Storage for the Conterminous United States- Forested\" dataset. May 7, 2015 version."]
[1.522,"Ecological","Carbon Storage by Tree Root Biomass","CARBON_STORE_ROOT_BIO_MASS_WS","The amount of carbon stored in below ground live forest biomass in the HUC8 (kilograms carbon per meter). Calculated from above ground live forest biomass estimates and an equation relating above and below ground forest biomass published in USDA Forest Service General Technical Report NRS-18. Source data for above ground biomass was the National Biomass and Carbon Dataset (NBCD) for the year 2000 developed by the Woods Hole Research Center. The NBCD is a 30-meter resolution gridded dataset of above ground live dry biomass. This indicator was calculated for EPA EnviroAtlas. Detailed information on source data and calculation methods can be found at: https://edg.epa.gov/metadata/rest/document?id=%7B0587242D-9CFC-460C-91B1-FC89B65AC66F%7D","EPA EnviroAtlas \"Below Ground Live Tree Biomass Carbon Storage for the Conterminous United States- Forested\" dataset. May 7, 2015 version."]
[1.63,"Ecological","% Draining to 1st, 2nd, or 3rd Order Streams in WS","STREAM_ORDER_1_2_3_PCT_WS","Percent of the HUC8 that drains to headwater streams (1st, 2nd, or 3rd order streams). Source data was the NHDPlus2 catchment dataset and the NHDPlus2 Value Added Attributes (VAA) table. NHDPlus2 catchments were assigned a stream order based on the Modified Strahler Stream Order reported for the catchment in the VAA table. Equation used: Area of 1st, 2nd, or 3rd Order Catchments in HUC8 / HUC8 Area * 100. (See also NHDPlus2 glossary definition).","NHDPlus2 Catchments; NHDPlus2 PlusFlowlineVAA tables"]
[1.802,"Ecological","% Rare Ecosystem in WS","RARE_ECO_PCT_WS","Percent of the HUC8 classified as a rare ecosystem based on ecosystem size, shape, and type. Source data was the U.S. Geological Survey (USGS) National Gap Analysis Program (GAP) land cover dataset (version 2, 2011). Ecological systems in the GAP land cover dataset were scored according to relative rarity based on area, spatial pattern, and uniqueness. Rarity scores ranged from 0 (not rare) to 100 (very rare); any ecological system with a score of 75 or greater was classified as rare. Equation used: Area of Rare Ecosystems in HUC8 / HUC8 Land Area * 100. This indicator was calculated for EPA EnviroAtlas. Additional information on source data and calculation methods can be found at: https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B5E591817-C13D-498A-BA0D-F3D28D986324%7D.","EPA EnviroAtlas \"Ecosystem Rarity Metrics by 12-digit HUC for the Conterminous United States\" dataset. May 7, 2015 version."]
[1.999,"Ecological","Neutral Variable, Ecological Category","NEUTRAL_ECO","Equal to 0.5 for all HUC8s. Can be used for an analysis that focuses on just the Stressor and Social indicator categories, with the Ecological category left out. If using this indicator do not select any other Ecological Indicators.","Not applicable."]
[{"v":2.111,"d":"2.111000"},"Stressor","% Urban in WS (2016)","URBAN_CDLNLCD16_PCT_WS","Percent of the HUC8 classified as urban cover by the 2016 CDL-NLCD Hybrid Land Cover dataset. Urban cover classes include 'Developed, Open Space' (code 121), 'Developed, Low Intensity' (code 122), 'Developed, Medium Intensity' (code 123), 'Developed, High Intensity' (code 124) in the 2016 CDL-NLCD Hybrid Land Cover dataset. Calculated as urban area divided by HUC8 area, multiplied by 100. (See also 2016 CDL-NLCD Hybrid Land Cover glossary definition).","2016 CDL-NLCD. HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[{"v":2.112,"d":"2.112000"},"Stressor","% Urban in HCZ (2016)","URBAN_CDLNLCD16_PCT_HZ","Percent of the HUC8 that is in the Hydrologically Connected Zone and classified as urban cover by the 2016 CDL-NLCD Hybrid Land Cover dataset. Urban cover classes include 'Developed, Open Space' (code 121), 'Developed, Low Intensity' (code 122), 'Developed, Medium Intensity' (code 123), 'Developed, High Intensity' (code 124) in the 2016 CDL-NLCD Hybrid Land Cover dataset. Calculated as urban area in the Hydrologically Connected Zone divided by HUC8 area, multiplied by 100. (See also 2016 CDL-NLCD Hybrid Land Cover and Hydrologically Connected Zone glossary definitions).","2016 CDL-NLCD and HCZ Grid (June 2019 version). HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[{"v":2.113,"d":"2.113000"},"Stressor","% Urban in RZ (2016)","URBAN_CDLNLCD16_PCT_RZ","Percent of the HUC8 that is in the Riparian Zone and classified as urban cover by the 2016 CDL-NLCD Hybrid Land Cover dataset. Urban cover classes include 'Developed, Open Space' (code 121), 'Developed, Low Intensity' (code 122), 'Developed, Medium Intensity' (code 123), 'Developed, High Intensity' (code 124) in the 2016 CDL-NLCD Hybrid Land Cover dataset. Calculated as urban area in the Riparian Zone divided by HUC8 area, multiplied by 100. (See also 2016 CDL-NLCD Hybrid Land Cover and Riparian Zone glossary definitions).","2016 CDL-NLCD and RZ Grid (June 2019 version). HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[{"v":2.114,"d":"2.114000"},"Stressor","% Urban Change in WS (2001-16)","URBAN_CHG_2001_16_PCT_WS","The change in the percentage of the HUC8 with urban cover from 2001 to 2016. Source data were the National Land Cover Database 2016 (NLCD 2016) 2001 and 2016 Land Cover datasets (January 2019 version). Urban cover classes include 'Developed, Open Space', 'Developed, Low Intensity', 'Developed, Medium Intensity', and 'Developed, High Intensity'; codes 21 through 24 in the 2001 and 2016 Land Cover datasets. Positive values denote an increase in urban cover; negative values denote a decrease in urban cover. Does not count areas that changed to/from the 'Open Water' class (code 11) since these were assumed to be errors. Equation used: (Area Changing to Urban – Area Changing From Urban)/(HUC8 Area) * 100. ","NLCD 2016 - 2001 and 2016 Land Cover Datasets (January 2019 Version)."]
[{"v":2.115,"d":"2.115000"},"Stressor","% Urban Change in HCZ (2001-16)","URBAN_CHG_2001_16_PCT_HZ","The change in the percentage of the HUC8 with urban cover in the Hydrologically Connected Zone (HCZ) from 2001 to 2016. Source data were the National Land Cover Database 2016 (NLCD 2016) 2001 and 2016 Land Cover datasets (January 2019 version). Urban cover classes include 'Developed, Open Space', 'Developed, Low Intensity', 'Developed, Medium Intensity', and 'Developed, High Intensity'; codes 21 through 24 in the 2001 and 2016 Land Cover datasets. Positive values denote an increase in urban; negative values denote a decrease in urban. Does not count areas that changed to/from the 'Open Water' class (code 11) since these were assumed to be errors. Equation used: (Area Changing to Urban in the HCZ – Area Changing From Urban in the HCZ)/(HUC8 Area) * 100. (See also Hydrologically Connected Zone glossary definition).","NLCD 2016 - 2001 and 2016 Land Cover Datasets (January 2019 Version); HCZ grid (June 2019 version)."]
[{"v":2.116,"d":"2.116000"},"Stressor","% Urban Change RZ (2001-16)","URBAN_CHG_2001_16_PCT_RZ","The change in the percentage of the HUC8 with urban cover in the Riparian Zone (RZ) from 2001 to 2016. Source data were the National Land Cover Database 2016 (NLCD 2016) 2001 and 2016 Land Cover datasets (January 2019 version). Urban cover classes include 'Developed, Open Space', 'Developed, Low Intensity', 'Developed, Medium Intensity', and 'Developed, High Intensity'; codes 21 through 24 in the 2001 and 2016 Land Cover datasets. Positive values denote an increase in urban cover; negative values denote a decrease in urban cover. Does not count areas that changed to/from the 'Open Water' class (code 11) since these were assumed to be errors. Equation used: (Area Changing to Urban in the RZ – Area Changing From Urban in the RZ)/(HUC8 Area) * 100. (See also Riparian Zone glossary definition).","NLCD 2016 - 2001 and 2016 Land Cover Datasets (January 2019 Version); RZ grid (June 2019 version)."]
[{"v":2.1171,"d":"2.117100"},"Stressor","% Developed, High Intensity in WS (2016)","LC124_CDLNLCD16_PCT_WS","Percent of the HUC8 classified as 'Developed, High Intensity' (code 124) by the 2016 CDL-NLCD Hybrid Land Cover dataset. Calculated as 'Developed, High Intensity' area divided by HUC8 area, multiplied by 100. (See also 2016 CDL-NLCD Hybrid Land Cover glossary definition).","2016 CDL-NLCD. HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[{"v":2.1172,"d":"2.117200"},"Stressor","% Developed, Medium Intensity in WS (2016)","LC123_CDLNLCD16_PCT_WS","Percent of the HUC8 classified as 'Developed, Medium Intensity' (code 123) by the 2016 CDL-NLCD Hybrid Land Cover dataset. Calculated as 'Developed, Medium Intensity' area divided by HUC8 area, multiplied by 100. (See also 2016 CDL-NLCD Hybrid Land Cover glossary definition).","2016 CDL-NLCD. HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[{"v":2.1173,"d":"2.117300"},"Stressor","% Developed, Low Intensity in WS (2016)","LC122_CDLNLCD16_PCT_WS","Percent of the HUC8 classified as 'Developed, Low Intensity' (code 122) by the 2016 CDL-NLCD Hybrid Land Cover dataset. Calculated as 'Developed, Low Intensity' area divided by HUC8 area, multiplied by 100. (See also 2016 CDL-NLCD Hybrid Land Cover glossary definition).","2016 CDL-NLCD. HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[{"v":2.1174,"d":"2.117400"},"Stressor","% Developed, Open Space in WS (2016)","LC121_CDLNLCD16_PCT_WS","Percent of the HUC8 classified as 'Developed, Open Space' (code 121) by the 2016 CDL-NLCD Hybrid Land Cover dataset. Calculated as 'Developed, Open Space' area divided by HUC8 area, multiplied by 100. (See also 2016 CDL-NLCD Hybrid Land Cover glossary definition).","2016 CDL-NLCD. HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[{"v":2.1181,"d":"2.118100"},"Stressor","% Developed, High Intensity in HCZ (2016)","LC124_CDLNLCD16_PCT_HZ","Percent of the HUC8 that is in the Hydrologically Connected Zone and classified as 'Developed, High Intensity' (code 124) by the 2016 CDL-NLCD Hybrid Land Cover dataset. Calculated as 'Developed, High Intensity' area in the Hydrologically Connected Zone divided by HUC8 area, multiplied by 100. (See also 2016 CDL-NLCD Hybrid Land Cover and Hydrologically Connected Zone glossary definitions).","2016 CDL-NLCD and HCZ Grid (June 2019 version). HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[{"v":2.1182,"d":"2.118200"},"Stressor","% Developed, Medium Intensity in HCZ (2016)","LC123_CDLNLCD16_PCT_HZ","Percent of the HUC8 that is in the Hydrologically Connected Zone and classified as 'Developed, Medium Intensity' (code 123) by the 2016 CDL-NLCD Hybrid Land Cover dataset. Calculated as 'Developed, Medium Intensity' area in the Hydrologically Connected Zone divided by HUC8 area, multiplied by 100. (See also 2016 CDL-NLCD Hybrid Land Cover and Hydrologically Connected Zone glossary definitions).","2016 CDL-NLCD and HCZ Grid (June 2019 version). HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[{"v":2.1183,"d":"2.118300"},"Stressor","% Developed, Low Intensity in HCZ (2016)","LC122_CDLNLCD16_PCT_HZ","Percent of the HUC8 that is in the Hydrologically Connected Zone and classified as 'Developed, Low Intensity' (code 122) by the 2016 CDL-NLCD Hybrid Land Cover dataset. Calculated as 'Developed, Low Intensity' area in the Hydrologically Connected Zone divided by HUC8 area, multiplied by 100. (See also 2016 CDL-NLCD Hybrid Land Cover and Hydrologically Connected Zone glossary definitions).","2016 CDL-NLCD and HCZ Grid (June 2019 version). HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[{"v":2.1184,"d":"2.118400"},"Stressor","% Developed, Open Space in HCZ (2016)","LC121_CDLNLCD16_PCT_HZ","Percent of the HUC8 that is in the Hydrologically Connected Zone and classified as 'Developed, Open Space' (code 121) by the 2016 CDL-NLCD Hybrid Land Cover dataset. Calculated as 'Developed, Open Space' area in the Hydrologically Connected Zone divided by HUC8 area, multiplied by 100. (See also 2016 CDL-NLCD Hybrid Land Cover and Hydrologically Connected Zone glossary definitions).","2016 CDL-NLCD and HCZ Grid (June 2019 version). HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[{"v":2.1191,"d":"2.119100"},"Stressor","% Developed, High Intensity in RZ (2016)","LC124_CDLNLCD16_PCT_RZ","Percent of the HUC8 that is in the Riparian Zone and classified as 'Developed, High Intensity' (code 124) by the 2016 CDL-NLCD Hybrid Land Cover dataset. Calculated as 'Developed, High Intensity' area in the Riparian Zone divided by HUC8 area, multiplied by 100. (See also 2016 CDL-NLCD Hybrid Land Cover and Riparian Zone glossary definitions).","2016 CDL-NLCD and RZ Grid (June 2019 version). HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[{"v":2.1192,"d":"2.119200"},"Stressor","% Developed, Medium Intensity in RZ (2016)","LC123_CDLNLCD16_PCT_RZ","Percent of the HUC8 that is in the Riparian Zone and classified as 'Developed, Medium Intensity' (code 123) by the 2016 CDL-NLCD Hybrid Land Cover dataset. Calculated as 'Developed, Medium Intensity' area in the Riparian Zone divided by HUC8 area, multiplied by 100. (See also 2016 CDL-NLCD Hybrid Land Cover and Riparian Zone glossary definitions).","2016 CDL-NLCD and RZ Grid (June 2019 version). HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[{"v":2.1193,"d":"2.119300"},"Stressor","% Developed, Low Intensity in RZ (2016)","LC122_CDLNLCD16_PCT_RZ","Percent of the HUC8 that is in the Riparian Zone and classified as 'Developed, Low Intensity' (code 122) by the 2016 CDL-NLCD Hybrid Land Cover dataset. Calculated as 'Developed, Low Intensity' area in the Riparian Zone divided by HUC8 area, multiplied by 100. (See also 2016 CDL-NLCD Hybrid Land Cover and Riparian Zone glossary definitions).","2016 CDL-NLCD and RZ Grid (June 2019 version). HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[{"v":2.1194,"d":"2.119400"},"Stressor","% Developed, Open Space in RZ (2016)","LC121_CDLNLCD16_PCT_RZ","Percent of the HUC8 that is in the Riparian Zone and classified as 'Developed, Open Space' (code 121) by the 2016 CDL-NLCD Hybrid Land Cover dataset. Calculated as 'Developed, Open Space' area in the Riparian Zone divided by HUC8 area, multiplied by 100. (See also 2016 CDL-NLCD Hybrid Land Cover and Riparian Zone glossary definitions).","2016 CDL-NLCD and RZ Grid (June 2019 version). HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[{"v":2.121,"d":"2.121000"},"Stressor","% Agriculture in WS (2016)","AG_CDLNLCD16_PCT_WS","Percent of the HUC8 classified as agriculture cover by the 2016 CDL-NLCD Hybrid Land Cover dataset. Agriculture cover classes includes cropland and pasture; codes 1 through 92, 181, 182, and 204 through 254 in the 2016 CDL-NLCD Hybrid Land Cover dataset. Calculated as agriculture area in the HUC8 divided by HUC8 area, multiplied by 100. (See also 2016 CDL-NLCD Hybrid Land Cover glossary definition).","2016 CDL-NLCD. HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[{"v":2.122,"d":"2.122000"},"Stressor","% Agriculture in HCZ (2016)","AG_CDLNLCD16_PCT_HZ","Percent of the HUC8 that is in the Hydrologically Connected Zone and classified as agriculture cover by the 2016 CDL-NLCD Hybrid Land Cover dataset. Agriculture cover classes include cropland and pasture; codes 1 through 92, 181, 182, and 204 through 254 in the 2016 CDL-NLCD Hybrid Land Cover dataset. Calculated as agriculture area in the Hydrologically Connected Zone divided by HUC8 area, multiplied by 100. (See also 2016 CDL-NLCD Hybrid Land Cover and Hydrologically Connected Zone glossary definitions).","2016 CDL-NLCD and HCZ Grid (June 2019 version). HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[{"v":2.123,"d":"2.123000"},"Stressor","% Agriculture in RZ (2016)","AG_CDLNLCD16_PCT_RZ","Percent of the HUC8 that is in the Riparian Zone and classified as agriculture cover by the 2016 CDL-NLCD Hybrid Land Cover dataset. Agriculture cover classes include cropland and pasture; codes 1 through 92, 181, 182, and 204 through 254 in the 2016 CDL-NLCD Hybrid Land Cover dataset. Calculated as agriculture area in the Riparian Zone divided by HUC8 area, multiplied by 100. (See also 2016 CDL-NLCD Hybrid Land Cover and Riparian Zone glossary definitions).","2016 CDL-NLCD and RZ Grid (June 2019 version). HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[{"v":2.124,"d":"2.124000"},"Stressor","% Agriculture Change in WS (2001-16)","AG_CHG_2001_16_PCT_WS","The change in the percentage of the HUC8 with agriculture cover from 2001 to 2016. Source data were the National Land Cover Database 2016 (NLCD 2016) 2001 and 2016 Land Cover datasets (January 2019 version). Agriculture cover classes include 'Pasture/Hay' and 'Cultivated Crops'; codes 81 and 82 in the 2001 and 2016 Land Cover datasets. Positive values denote an increase in agriculture; negative values denote a decrease in agriculture. Does not count areas that changed to/from the 'Open Water' class (code 11) since these were assumed to be errors. Equation used: (Area Changing to Agriculture – Area Changing From Agriculture)/(HUC8 Area) * 100.","NLCD 2016 - 2001 and 2016 Land Cover Datasets (January 2019 Version)."]
[{"v":2.125,"d":"2.125000"},"Stressor","% Agriculture Change in HCZ (2001-16)","AG_CHG_2001_16_PCT_HZ","The change in the percentage of the HUC8 with agriculture cover in the Hydrologically Connected Zone (HCZ) from 2001 to 2016. Source data were the National Land Cover Database 2016 (NLCD 2016) 2001 and 2016 Land Cover datasets (January 2019 version). Agriculture cover classes include 'Pasture/Hay' and 'Cultivated Crops'; codes 81 and 82 in the 2001 and 2016 Land Cover datasets. Positive values denote an increase in agriculture; negative values denote a decrease in agriculture. Does not count areas that changed to/from the 'Open Water' class (code 11) since these were assumed to be errors. Equation used: (Area Changing to Agriculture in the HCZ – Area Changing From Agriculture HCZ)/(HUC8 Area) * 100. (See also Hydrologically Connected Zone glossary definition).","NLCD 2016 - 2001 and 2016 Land Cover Datasets (January 2019 Version); HCZ grid (June 2019 version)."]
[{"v":2.126,"d":"2.126000"},"Stressor","% Agriculture Change in RZ (2001-16)","AG_CHG_2001_16_PCT_RZ","The change in the percentage of the HUC8 with agriculture cover in the Riparian Zone (RZ) from 2001 to 2016. Source data were the National Land Cover Database 2016 (NLCD 2016) 2001 and 2016 Land Cover datasets (January 2019 version). Agriculture cover classes include 'Pasture/Hay' and 'Cultivated Crops'; codes 81 and 82 in the 2001 and 2016 Land Cover datasets. Positive values denote an increase in agriculture; negative values denote a decrease in agriculture. Does not count areas that changed to/from the 'Open Water' class (code 11) since these were assumed to be errors. Equation used: (Area Changing to Agriculture in the RZ – Area Changing From Agriculture RZ)/(HUC8 Area) * 100. (See also Riparian Zone glossary definition).","NLCD 2016 - 2001 and 2016 Land Cover Datasets (January 2019 Version); RZ grid (June 2019 version)."]
[{"v":2.1271,"d":"2.127100"},"Stressor","% Cultivated Crops in WS (2016)","CROP_CDLNLCD16_PCT_WS","Percent of the HUC8 classified as cultivated crop cover by the 2016 CDL-NLCD Hybrid Land Cover dataset. Cultivated crop cover classes include non-pasture agriculture; codes 1 through 35, 38 through 57, 66 through 92, 182, and 204 through 254 in the 2016 CDL-NLCD Hybrid Land Cover dataset. Calculated as cultivated crop area divided by HUC8 area, multiplied by 100. (See also 2016 CDL-NLCD Hybrid Land Cover glossary definition).","2016 CDL-NLCD. HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[{"v":2.1272,"d":"2.127200"},"Stressor","% Cultivated Crops in HCZ (2016)","CROP_CDLNLCD16_PCT_HZ","Percent of the HUC8 that is in the Hydrologically Connected Zone and classified as cultivated crop cover by the 2016 CDL-NLCD Hybrid Land Cover dataset. Cultivated crop cover classes include non-pasture agriculture; codes 1 through 35, 38 through 57, 66 through 92, 182, and 204 through 254; in the 2016 CDL-NLCD Hybrid Land Cover dataset. Calculated as cultivated crop area in the Hydrologically Connected Zone divided by HUC8 area, multiplied by 100. (See also 2016 CDL-NLCD Hybrid Land Cover and Hydrologically Connected Zone glossary definitions).","2016 CDL-NLCD and HCZ Grid (June 2019 version). HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[{"v":2.1273,"d":"2.127300"},"Stressor","% Cultivated Crops in RZ (2016)","CROP_CDLNLCD16_PCT_RZ","Percent of the HUC8 that is in the Riparian Zone and classified as cultivated crop cover by the 2016 CDL-NLCD Hybrid Land Cover dataset. Cultivated crop cover classes include non-pasture agriculture; codes 1 through 35, 38 through 57, 66 through 92, 182, and 204 through 254 in the 2016 CDL-NLCD Hybrid Land Cover dataset. Calculated as cultivated crop area in the Riparian Zone divided by HUC8 area, multiplied by 100. (See also 2016 CDL-NLCD Hybrid Land Cover and Riparian Zone glossary definitions).","2016 CDL-NLCD and RZ Grid (June 2019 version). HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[{"v":2.1281,"d":"2.128100"},"Stressor","% Pasture/Hay in WS (2016)","PASTURE_CDLNLCD16_PCT_WS","Percent of the HUC8 classified as pasture cover by the 2016 CDL-NLCD Hybrid Land Cover dataset. Pasture cover classes includes any uncropped agriculture cover; codes 36, 37, 58 through 61, and 181 in the 2016 CDL-NLCD Hybrid Land Cover dataset. Calculated as pasture area divided by HUC8 area, multiplied by 100. (See also 2016 CDL-NLCD Hybrid Land Cover glossary definition).","2016 CDL-NLCD. HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[{"v":2.1282,"d":"2.128200"},"Stressor","% Pasture/Hay in HCZ (2016)","PASTURE_CDLNLCD16_PCT_HZ","Percent of the HUC8 in the Hydrologically Connected Zone classified as pasture cover by the 2016 CDL-NLCD Hybrid Land Cover dataset. Pasture cover classes include any uncropped agriculture cover; codes 36, 37, 58 through 61, and 181 in the 2016 CDL-NLCD Hybrid Land Cover dataset. Calculated as pasture area in the Hydrologically Connected Zone divided by HUC8 area, multiplied by 100. (See also 2016 CDL-NLCD Hybrid Land Cover and Hydrologically Connected Zone glossary definitions).","2016 CDL-NLCD and HCZ Grid (June 2019 version). HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[{"v":2.1283,"d":"2.128300"},"Stressor","% Pasture/Hay in RZ (2016)","PASTURE_CDLNLCD16_PCT_RZ","Percent of the HUC8 in the Riparian Zone classified as pasture cover by the 2016 CDL-NLCD Hybrid Land Cover dataset. Pasture cover classes include any uncropped agriculture cover; codes 36, 37, 58 through 61, and 181 in the 2016 CDL-NLCD Hybrid Land Cover dataset. Calculated as pasture area in the Riparian Zone divided by HUC8 area, multiplied by 100. (See also 2016 CDL-NLCD Hybrid Land Cover and Riparian Zone glossary definitions).","2016 CDL-NLCD and RZ Grid (June 2019 version). HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[{"v":2.1311,"d":"2.131100"},"Stressor","Density All Mining in WS","MINET_DEN","Density of all coal mines, coal mining support activity sites, mineral mines, and mineral processing plants in the HUC8 (count per square kilometer). Source data used was the mine location database described in Daniel et al. 2015 ('Characterizing Coal and Mineral Mines as a Regional Source of Stress to Stream Fish Assemblages', Ecological Indicators), acquired via personal communication with Michigan State University in January 2015. Calculated as the number of points in the mine location database in the HUC8 divided by HUC8 area.","Mineral and coal mine locations (points shapefile) acquired from Michigan State University, January 2015. Source data is described in Daniel et al. 2015 (\"Characterizing Coal and Mineral Mines as a Regional Source of Stress to Stream Fish Assemblages\", Ecological Indicators). HUC8 Version: NHDPlus2 WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[{"v":2.1312,"d":"2.131200"},"Stressor","Count All Mining in WS","MINET_CNT","Count of all coal mines, coal mining support activity sites, mineral mines, and mineral processing plants in the HUC8. Source data used was the mine location database described in Daniel et al. 2015 ('Characterizing Coal and Mineral Mines as a Regional Source of Stress to Stream Fish Assemblages', Ecological Indicators), acquired via personal communication with Michigan State University in January 2015. Calculated as the number of points in the mine location database in the HUC8.","Mineral and coal mine locations (points shapefile) acquired from Michigan State University, January 2015. Source data is described in Daniel et al. 2015 (\"Characterizing Coal and Mineral Mines as a Regional Source of Stress to Stream Fish Assemblages\", Ecological Indicators). HUC8 Version: NHDPlus2 WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[{"v":2.1321,"d":"2.132100"},"Stressor","Density All Coal Mining in WS","COALT_DEN","Density of major and minor coal mines and associated support activity sites in the HUC8 (count per square kilometer). Source data used was the mine location database described in Daniel et al. 2015 ('Characterizing Coal and Mineral Mines as a Regional Source of Stress to Stream Fish Assemblages', Ecological Indicators), acquired via personal communication with Michigan State University in January 2015. Calculated as the number of points classified as major or minor coal mines in the HUC8 divided by HUC8 area.","Coal mine locations (points shapefile) acquired from Michigan State University, January 2015. Source data is described in Daniel et al. 2015 (\"Characterizing Coal and Mineral Mines as a Regional Source of Stress to Stream Fish Assemblages\", Ecological Indicators). HUC8 Version: NHDPlus2 WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[{"v":2.1322,"d":"2.132200"},"Stressor","Count All Coal Mining in WS","COALT_CNT","Count of major and minor coal mines and associated support activity sites in the HUC8. Source data used was the mine location database described in Daniel et al. 2015 ('Characterizing Coal and Mineral Mines as a Regional Source of Stress to Stream Fish Assemblages', Ecological Indicators), acquired via personal communication with Michigan State University in January 2015. Calculated as the number of points classified as major or minor coal mines in the HUC8.","Coal mine locations (points shapefile) acquired from Michigan State University, January 2015. Source data is described in Daniel et al. 2015 (\"Characterizing Coal and Mineral Mines as a Regional Source of Stress to Stream Fish Assemblages\", Ecological Indicators). HUC8 Version: NHDPlus2 WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[{"v":2.1323,"d":"2.132300"},"Stressor","Density Major Coal Mining in WS","COALMJ_DEN","Density of major coal mines and associated support activity sites in the HUC8 (count per square kilometer). Source data used was the mine location database described in Daniel et al. 2015 ('Characterizing Coal and Mineral Mines as a Regional Source of Stress to Stream Fish Assemblages', Ecological Indicators), acquired via personal communication with Michigan State University in January 2015. Calculated as the number of points classified as major coal mines in the HUC8 divided by HUC8 area.","Coal mine locations (points shapefile) acquired from Michigan State University, January 2015. Source data is described in Daniel et al. 2015 (\"Characterizing Coal and Mineral Mines as a Regional Source of Stress to Stream Fish Assemblages\", Ecological Indicators). HUC8 Version: NHDPlus2 WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[{"v":2.1324,"d":"2.132400"},"Stressor","Count Major Coal Mining in WS","COALMJ_CNT","Count of major coal mines and associated support activity sites in the HUC8. Source data used was the mine location database described in Daniel et al. 2015 ('Characterizing Coal and Mineral Mines as a Regional Source of Stress to Stream Fish Assemblages', Ecological Indicators), acquired via personal communication with Michigan State University in January 2015. Calculated as the number of points classified as major coal mines in the HUC8.","Coal mine locations (points shapefile) acquired from Michigan State University, January 2015. Source data is described in Daniel et al. 2015 (\"Characterizing Coal and Mineral Mines as a Regional Source of Stress to Stream Fish Assemblages\", Ecological Indicators). HUC8 Version: NHDPlus2 WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[{"v":2.1325,"d":"2.132500"},"Stressor","Density Minor Coal Mining in WS","COALMN_DEN","Density of minor coal mines and associated support activity sites in the HUC8 (count per square kilometer). Source data used was the mine location database described in Daniel et al. 2015 ('Characterizing Coal and Mineral Mines as a Regional Source of Stress to Stream Fish Assemblages', Ecological Indicators), acquired via personal communication with Michigan State University in January 2015. Calculated as the number of points classified as minor coal mines in the HUC8 divided by HUC8 area.","Coal mine locations (points shapefile) acquired from Michigan State University, January 2015. Source data is described in Daniel et al. 2015 (\"Characterizing Coal and Mineral Mines as a Regional Source of Stress to Stream Fish Assemblages\", Ecological Indicators). HUC8 Version: NHDPlus2 WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[{"v":2.1326,"d":"2.132600"},"Stressor","Count Minor Coal Mining in WS","COALMN_CNT","Count of minor coal mines and associated support activity sites in the HUC8. Source data used was the mine location database described in Daniel et al. 2015 ('Characterizing Coal and Mineral Mines as a Regional Source of Stress to Stream Fish Assemblages', Ecological Indicators), acquired via personal communication with Michigan State University in January 2015. Calculated as the number of points classified as minor coal mines in the HUC8.","Coal mine locations (points shapefile) acquired from Michigan State University, January 2015. Source data is described in Daniel et al. 2015 (\"Characterizing Coal and Mineral Mines as a Regional Source of Stress to Stream Fish Assemblages\", Ecological Indicators). HUC8 Version: NHDPlus2 WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[{"v":2.1331,"d":"2.133100"},"Stressor","Density Mineral Mining in WS","MNERAL_DEN","Density of mineral mine sites and mineral processing plants in the HUC8 (count per square kilometer). Source data used was the mine location database described in Daniel et al. 2015 ('Characterizing Coal and Mineral Mines as a Regional Source of Stress to Stream Fish Assemblages', Ecological Indicators), acquired via personal communication with Michigan State University in January 2015. Calculated as the number of points classified as mineral mines and mineral processing plants in the HUC8 divided by HUC8 area.","Mineral mine locations (points shapefile) acquired from Michigan State University, January 2015. Source data is described in Daniel et al. 2015 (\"Characterizing Coal and Mineral Mines as a Regional Source of Stress to Stream Fish Assemblages\", Ecological Indicators). HUC8 Version: NHDPlus2 WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[{"v":2.1332,"d":"2.133200"},"Stressor","Count Mineral Mining in WS","MNERAL_CNT","Count of mineral mine sites and mineral processing plants in the HUC8. Source data used was the mine location database described in Daniel et al. 2015 ('Characterizing Coal and Mineral Mines as a Regional Source of Stress to Stream Fish Assemblages', Ecological Indicators), acquired via personal communication with Michigan State University in January 2015. Calculated as the number of points classified as mineral mines in the HUC8.","Mineral mine locations (points shapefile) acquired from Michigan State University, January 2015. Source data is described in Daniel et al. 2015 (\"Characterizing Coal and Mineral Mines as a Regional Source of Stress to Stream Fish Assemblages\", Ecological Indicators). HUC8 Version: NHDPlus2 WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[2.14214,"Stressor","Density All Roads in WS (2015)","ROADS_ALL_DENSITY_2015_WS","Density of all roads in the HUC8 (kilometer per square kilometer). Source data used was the 2015 TIGER Roads National Geodatabase from the US Census Bureau (https://www.census.gov/geo/maps-data/data/tiger-geodatabases.html; downloaded March 2016). Linear road features in the geodatabase were converted to a 10 meter resolution grid and road length was calculated as the area of road grid pixels in the HUC8 divided by pixel length. Road density was calculated as: Road Length / HUC8 Area. Includes roads with MTFCC code equal to S1100 (primary road), S1200 (secondary road), S1400 (local road), S1500 (vehicular trail), S1630 (ramp), S1640 (service drive), S1730 (alley), S1740 (private road), or S1780 (parking lot road) in the 2015 TIGER Roads National Geodatabase. Features with MTFCC code equal to S1710 (walkway), S1720 (stairway), S1820 (bike path), S1830 (bridle path), and S2000 (unpaved median) were classified as non-road features and not counted.","US Census Bureau TIGER Roads National Geodatabase (2015 version). HUC8 Version: NHDPlus2 WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[2.14215,"Stressor","Density Roads & Rails in WS (2015)","ROADS_RAILS_DENSITY_2015_WS","Density of all roads and railroads in the HUC8 (kilometer per square kilometer). Source data used was the 2015 TIGER Roads National Geodatabase and the 2015 TIGER Rails National Geodatabase from the US Census Bureau (https://www.census.gov/geo/maps-data/data/tiger-geodatabases.html; downloaded March 2016). Linear road/rail features in each geodatabase were converted to a 10 meter resolution grid and road/rail length was calculated as the area of road/rail grid pixels in the HUC8 divided by pixel length. Road and railroad density was calculated as: (Road Length + Railroad Length) / HUC8 Area. Includes roads with MTFCC code equal to S1100 (primary road), S1200 (secondary road), S1400 (local road), S1500 (vehicular trail), S1630 (ramp), S1640 (service drive), S1730 (alley), S1740 (private road), or S1780 (parking lot road) in the 2015 TIGER Roads National Geodatabase. Features with MTFCC code equal to S1710 (walkway), S1720 (stairway), S1820 (bike path), S1830 (bridle path), and S2000 (unpaved median) were classified as non-road features and not counted. All features in the 2015 TIGER Rails National Geodatabase are counted in railroad length.","US Census Bureau TIGER Roads National Geodatabase (2015 version); TIGER Rails National Geodatabase (2015 version). HUC8 Version: NHDPlus2 WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[2.14221,"Stressor","Density All Roads in RZ (2015)","ROADS_ALL_DENSITY_2015_RZ","Density of all roads in the Riparian Zone (RZ) of the HUC8 (kilometer per square kilometer). Source data used was the 2015 TIGER Roads National Geodatabase from the US Census Bureau (https://www.census.gov/geo/maps-data/data/tiger-geodatabases.html; downloaded March 2016). Linear road features in the geodatabase were converted to a 10 meter resolution grid and road length was calculated as the area of road grid pixels in the RZ divided by pixel length. Road density in the RZ was calculated as: Road Length in RZ / RZ Area. Includes roads with MTFCC code equal to S1100 (primary road), S1200 (secondary road), S1400 (local road), S1500 (vehicular trail), S1630 (ramp), S1640 (service drive), S1730 (alley), S1740 (private road), or S1780 (parking lot road) in the 2015 TIGER Roads National Geodatabase. Features with MTFCC code equal to S1710 (walkway), S1720 (stairway), S1820 (bike path), S1830 (bridle path), and S2000 (unpaved median) were classified as non-road features and not counted. (See also Riparian Zone glossary definition).","US Census Bureau TIGER Roads National Geodatabase (2015 version). HUC8 Version: NHDPlus2 WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[2.14222,"Stressor","Density Roads & Rails in RZ (2015)","ROADS_RAILS_DENSITY_2015_RZ","Density of all roads and railroads in the Riparian Zone of the HUC8 (kilometer per square kilometer). Source data used was the 2015 TIGER Roads National Geodatabase and the 2015 TIGER Rails National Geodatabase from the US Census Bureau (https://www.census.gov/geo/maps-data/data/tiger-geodatabases.html; downloaded March 2016). Linear road/rail features in each geodatabase were converted to a 10 meter resolution grid and road/rail length was calculated as the area of road/rail grid pixels in the RZ divided by pixel length. Road and railroad density in the RZ was calculated as: (Road Length in RZ + Railroad Length in RZ) / RZ Area. Includes roads with MTFCC code equal to S1100 (primary road), S1200 (secondary road), S1400 (local road), S1500 (vehicular trail), S1630 (ramp), S1640 (service drive), S1730 (alley), S1740 (private road), or S1780 (parking lot road) in the 2015 TIGER Roads National Geodatabase. Features with MTFCC code equal to S1710 (walkway), S1720 (stairway), S1820 (bike path), S1830 (bridle path), and S2000 (unpaved median) were classified as non-road features and not counted. All features in the 2015 TIGER Rails National Geodatabase are counted in railroad length. (See also Riparian Zone glossary definition).","US Census Bureau TIGER Roads National Geodatabase (2015 version); TIGER Rails National Geodatabase (2015 version). HUC8 Version: NHDPlus2 WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[2.142241,"Stressor","Length Primary Roads in WS (2015)","ROADS_PRIMARY_LENGTH_2015_WS","Length of primary roads in the HUC8 (kilometers). Primary roads are divided highways within the interstate highway system or under state management, and are distinguished by the presence of interchanges and ramps for entrance/exit. Source data used was the 2015 TIGER Roads National Geodatabase from the US Census Bureau (https://www.census.gov/geo/maps-data/data/tiger-geodatabases.html; downloaded March 2016). Linear road features in the geodatabase were converted to a 10 meter resolution grid and road length was calculated as the area of primary road grid pixels in the HUC8 divided by pixel length. Primary roads have MTFCC code equal to S1100 in the 2015 TIGER Roads National Geodatabase.","US Census Bureau TIGER Roads National Geodatabase (2015 version). HUC8 Version: NHDPlus2 WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[2.142242,"Stressor","Density Primary Roads in WS (2015)","ROADS_PRIMARY_DENSITY_2015_WS","Density of primary roads in the HUC8 (kilometer per square kilometer). Primary roads are divided highways within the interstate highway system or under state management, and are distinguished by the presence of interchanges and ramps for entrance/exit. Source data used was the 2015 TIGER Roads National Geodatabase from the US Census Bureau (https://www.census.gov/geo/maps-data/data/tiger-geodatabases.html; downloaded March 2016). Linear road features in the geodatabase were converted to a 10 meter resolution grid and road length was calculated as the area of primary road grid pixels in the HUC8 divided by pixel length. Primary road density was calculated as: Primary Road Length / HUC8 Area. Primary roads have MTFCC code equal to S1100 in the 2015 TIGER Roads National Geodatabase.","US Census Bureau TIGER Roads National Geodatabase (2015 version). HUC8 Version: NHDPlus2 WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[2.142243,"Stressor","Length Secondary Roads in WS (2015)","ROADS_2NDARY_LENGTH_2015_WS","Length of secondary roads in the HUC8 (kilometers). Secondary roads are main arteries with one or more lanes of traffic in each direction that may be divided, usually have intersections with many other roads and driveways, and are usually in the U.S. Highway, State Highway or County Highway system. Source data used was the 2015 TIGER Roads National Geodatabase from the US Census Bureau (https://www.census.gov/geo/maps-data/data/tiger-geodatabases.html; downloaded March 2016). Linear road features in the geodatabase were converted to a 10 meter resolution grid and road length was calculated as the area of secondary road grid pixels in the HUC8 divided by pixel length. Secondary roads have MTFCC code equal to S1200 in the 2015 TIGER Roads National Geodatabase.","US Census Bureau TIGER Roads National Geodatabase (2015 version). HUC8 Version: NHDPlus2 WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[2.142244,"Stressor","Density Secondary Roads in WS (2015)","ROADS_2NDARY_DENSITY_2015_WS","Density of secondary roads in the HUC8 (kilometer per square kilometer). Secondary roads are main arteries with one or more lanes of traffic in each direction that may be divided, usually have intersections with many other roads and driveways, and are usually in the U.S. Highway, State Highway or County Highway system. Source data used was the 2015 TIGER Roads National Geodatabase from the US Census Bureau (https://www.census.gov/geo/maps-data/data/tiger-geodatabases.html; downloaded March 2016). Linear road features in the geodatabase were converted to a 10 meter resolution grid and road length was calculated as the area of secondary road grid pixels in the HUC8 divided by pixel length. Secondary road density was calculated as: Secondary Road Length / HUC8 Area. Secondary roads have MTFCC code equal to S1200 in the 2015 TIGER Roads National Geodatabase.","US Census Bureau TIGER Roads National Geodatabase (2015 version). HUC8 Version: NHDPlus2 WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[2.142245,"Stressor","Length Local Roads in WS (2015)","ROADS_LOCAL_LENGTH_2015_WS","Length of local roads in the HUC8 (kilometers). Local roads are a paved non-arterial street, road, or byway that usually has a single lane of traffic in each direction and may be privately or publicly maintained. Source data used was the 2015 TIGER Roads National Geodatabase from the US Census Bureau (https://www.census.gov/geo/maps-data/data/tiger-geodatabases.html; downloaded March 2016). Linear road features in the geodatabase were converted to a 10 meter resolution grid and road length was calculated as the area of local road grid pixels in the HUC8 divided by pixel length. Local roads have MTFCC code equal to S1400 in the 2015 TIGER Roads National Geodatabase.","US Census Bureau TIGER Roads National Geodatabase (2015 version). HUC8 Version: NHDPlus2 WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[2.142246,"Stressor","Density Local Roads in WS (2015)","ROADS_LOCAL_DENSITY_2015_WS","Density of local roads in the HUC8 (kilometer per square kilometer). Local roads are a paved non-arterial street, road, or byway that usually has a single lane of traffic in each direction and may be privately or publicly maintained. Source data used was the 2015 TIGER Roads National Geodatabase from the US Census Bureau (https://www.census.gov/geo/maps-data/data/tiger-geodatabases.html; downloaded March 2016). Linear road features in the geodatabase were converted to a 10 meter resolution grid and road length was calculated as the area of local road grid pixels in the HUC8 divided by pixel length. Local road density was calculated as: Local Road Length / HUC8 Area. Local roads have MTFCC code equal to S1400 in the 2015 TIGER Roads National Geodatabase.","US Census Bureau TIGER Roads National Geodatabase (2015 version). HUC8 Version: NHDPlus2 WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[2.142247,"Stressor","Length Minor Roads/Trails in WS (2015)","ROADS_MINOR_LENGTH_2015_WS","Length of minor roads in the HUC8 (kilometers). Minor roads include unpaved dirt trails for four-wheel drive vehicles, access ramps to highways, service roads along highways, alleys, private roads, and parking lot roads. Source data used was the 2015 TIGER Roads National Geodatabase from the US Census Bureau (https://www.census.gov/geo/maps-data/data/tiger-geodatabases.html; downloaded March 2016). Linear road features in the geodatabase were converted to a 10 meter resolution grid and road length was calculated as the area of minor road grid pixels in the HUC8 divided by pixel length. Minor roads have MTFCC code equal to S1500, S1630, S1640, S1730, S1740, or S1780 in the 2015 TIGER Roads National Geodatabase.","US Census Bureau TIGER Roads National Geodatabase (2015 version). HUC8 Version: NHDPlus2 WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[2.142248,"Stressor","Density Minor Roads/Trails in WS (2015)","ROADS_MINOR_DENSITY_2015_WS","Density of minor roads in the HUC8 (kilometer per square kilometer). Minor roads include unpaved dirt trails for four-wheel drive vehicles, access ramps to highways, service roads along highways, alleys, private roads, and parking lot roads. Source data used was the 2015 TIGER Roads National Geodatabase from the US Census Bureau (https://www.census.gov/geo/maps-data/data/tiger-geodatabases.html; downloaded March 2016). Linear road features in the geodatabase were converted to a 10 meter resolution grid and road length was calculated as the area of minor road grid pixels in the HUC8 divided by pixel length. Minor road density was calculated as: Minor Road Length / HUC8 Area. Minor roads have MTFCC code equal to S1500, S1630, S1640, S1730, S1740, or S1780 in the 2015 TIGER Roads National Geodatabase.","US Census Bureau TIGER Roads National Geodatabase (2015 version). HUC8 Version: NHDPlus2 WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[2.142249,"Stressor","Length All Roads in WS (2015)","ROADS_ALL_LENGTH_2015_WS","Length of all roads in the HUC8 (kilometers). Source data used was the 2015 TIGER Roads National Geodatabase from the US Census Bureau (https://www.census.gov/geo/maps-data/data/tiger-geodatabases.html; downloaded March 2016). Linear road features in the geodatabase were converted to a 10 meter resolution grid and road length was calculated as the area of road grid pixels in the HUC8 divided by pixel length. Includes roads with MTFCC code equal to S1100 (primary road), S1200 (secondary road), S1400 (local road), S1500 (vehicular trail), S1630 (ramp), S1640 (service drive), S1730 (alley), S1740 (private road), or S1780 (parking lot road) in the 2015 TIGER Roads National Geodatabase. Features with MTFCC code equal to S1710 (walkway), S1720 (stairway), S1820 (bike path), S1830 (bridle path), and S2000 (unpaved median) were classified as non-road features and not counted.","US Census Bureau TIGER Roads National Geodatabase (2015 version). HUC8 Version: NHDPlus2 WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[2.1422491,"Stressor","Length Railroads in WS (2015)","RAILS_LENGTH_2015_WS","Length of railroads in the HUC8 (kilometers). Source data used was the 2015 TIGER Rails National Geodatabase from the US Census Bureau (https://www.census.gov/geo/maps-data/data/tiger-geodatabases.html; downloaded March 2016). Linear rail features in the geodatabase were converted to a 10 meter resolution grid and rail length was calculated as the area of rail grid pixels in the HUC8 divided by pixel length. All features in the 2015 TIGER Rails National Geodatabase are counted in railroad length.","US Census Bureau TIGER Rails National Geodatabase (2015 version). HUC8 Version: NHDPlus2 WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[2.1422492,"Stressor","Density Railroads in WS (2015)","RAILS_DENSITY_2015_WS","Density of railroads in the HUC8 (kilometer per square kilometer). Source data used was the 2015 TIGER Rails National Geodatabase from the US Census Bureau (https://www.census.gov/geo/maps-data/data/tiger-geodatabases.html; downloaded March 2016). Linear rail features in the geodatabase were converted to a 10 meter resolution grid and rail length was calculated as the area of rail grid pixels in the HUC8 divided by pixel length. Railroad density was calculated as: Railroad Length / HUC8 Area. All features in the 2015 TIGER Rails National Geodatabase are counted in railroad length.","US Census Bureau TIGER Rails National Geodatabase (2015 version). HUC8 Version: NHDPlus2 WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[2.1422493,"Stressor","Length Roads & Rails in WS (2015)","ROADS_RAILS_LENGTH_2015_WS","Length of all roads and railroads in the HUC8 (kilometers). Source data used was the 2015 TIGER Roads National Geodatabase and the 2015 TIGER Rails National Geodatabase from the US Census Bureau (https://www.census.gov/geo/maps-data/data/tiger-geodatabases.html; downloaded March 2016). Linear road/rail features in each geodatabase were converted to a 10 meter resolution grid and road/rail length was calculated as the area of road/rail grid pixels in the HUC8 divided by pixel length. Includes roads with MTFCC code equal to S1100 (primary road), S1200 (secondary road), S1400 (local road), S1500 (vehicular trail), S1630 (ramp), S1640 (service drive), S1730 (alley), S1740 (private road), or S1780 (parking lot road) in the 2015 TIGER Roads National Geodatabase. Features with MTFCC code equal to S1710 (walkway), S1720 (stairway), S1820 (bike path), S1830 (bridle path), and S2000 (unpaved median) were classified as non-road features and not counted. All features in the 2015 TIGER Rails National Geodatabase are counted in railroad length.","US Census Bureau TIGER Roads National Geodatabase (2015 version); TIGER Rails National Geodatabase (2015 version). HUC8 Version: NHDPlus2 WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[2.142271,"Stressor","Length Primary Roads in RZ (2015)","ROADS_PRIMARY_LENGTH_2015_RZ","Length of primary roads in the Riparian Zone (RZ) of the HUC8 (kilometers). Primary roads are divided highways within the interstate highway system or under state management, and are distinguished by the presence of interchanges and ramps for entrance/exit. Source data used was the 2015 TIGER Roads National Geodatabase from the US Census Bureau (https://www.census.gov/geo/maps-data/data/tiger-geodatabases.html; downloaded March 2016). Linear road features in the geodatabase were converted to a 10 meter resolution grid and road length was calculated as the area of primary road grid pixels in the RZ divided by pixel length. Primary roads have MTFCC code equal to S1100 in the 2015 TIGER Roads National Geodatabase. (See also Riparian Zone glossary definition).","US Census Bureau TIGER Roads National Geodatabase (2015 version). HUC8 Version: NHDPlus2 WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[2.142272,"Stressor","Density Primary Roads in RZ (2015)","ROADS_PRIMARY_DENSITY_2015_RZ","Density of primary roads in the Riparian Zone (RZ) of the HUC8 (kilometer per square kilometer). Primary roads are divided highways within the interstate highway system or under state management, and are distinguished by the presence of interchanges and ramps for entrance/exit. Source data used was the 2015 TIGER Roads National Geodatabase from the US Census Bureau (https://www.census.gov/geo/maps-data/data/tiger-geodatabases.html; downloaded March 2016). Linear road features in the geodatabase were converted to a 10 meter resolution grid and road length was calculated as the area of primary road grid pixels in the RZ divided by pixel length. Primary road density in the RZ was calculated as: Primary Road Length in RZ / RZ Area. Primary roads have MTFCC code equal to S1100 in the 2015 TIGER Roads National Geodatabase. (See also Riparian Zone glossary definition).","US Census Bureau TIGER Roads National Geodatabase (2015 version). HUC8 Version: NHDPlus2 WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[2.142273,"Stressor","Length Secondary Roads in RZ (2015)","ROADS_2NDARY_LENGTH_2015_RZ","Length of secondary roads in the Riparian Zone (RZ) of the HUC8 (kilometers). Secondary roads are main arteries with one or more lanes of traffic in each direction that may be divided, usually have intersections with many other roads and driveways, and are usually in the U.S. Highway, State Highway or County Highway system. Source data used was the 2015 TIGER Roads National Geodatabase from the US Census Bureau (https://www.census.gov/geo/maps-data/data/tiger-geodatabases.html; downloaded March 2016). Linear road features in the geodatabase were converted to a 10 meter resolution grid and road length was calculated as the area of secondary road grid pixels in the RZ divided by pixel length. Secondary roads have MTFCC code equal to S1200 in the 2015 TIGER Roads National Geodatabase. (See also Riparian Zone glossary definition).","US Census Bureau TIGER Roads National Geodatabase (2015 version). HUC8 Version: NHDPlus2 WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[2.142274,"Stressor","Density Secondary Roads in RZ (2015)","ROADS_2NDARY_DENSITY_2015_RZ","Density of secondary roads in the Riparian Zone (RZ) of the HUC8 (kilometer per square kilometer). Secondary roads are main arteries with one or more lanes of traffic in each direction that may be divided, usually have intersections with many other roads and driveways, and are usually in the U.S. Highway, State Highway or County Highway system. Source data used was the 2015 TIGER Roads National Geodatabase from the US Census Bureau (https://www.census.gov/geo/maps-data/data/tiger-geodatabases.html; downloaded March 2016). Linear road features in the geodatabase were converted to a 10 meter resolution grid and road length was calculated as the area of secondary road grid pixels in the RZ divided by pixel length. Secondary road density in the RZ was calculated as: Secondary Road Length in RZ / RZ Area. Secondary roads have MTFCC code equal to S1200 in the 2015 TIGER Roads National Geodatabase. (See also Riparian Zone glossary definition).","US Census Bureau TIGER Roads National Geodatabase (2015 version). HUC8 Version: NHDPlus2 WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[2.142275,"Stressor","Length Local Roads in RZ (2015)","ROADS_LOCAL_LENGTH_2015_RZ","Length of local roads in Riparian Zone (RZ) of the HUC8 (kilometers). Local roads are a paved non-arterial street, road, or byway that usually has a single lane of traffic in each direction and may be privately or publicly maintained. Source data used was the 2015 TIGER Roads National Geodatabase from the US Census Bureau (https://www.census.gov/geo/maps-data/data/tiger-geodatabases.html; downloaded March 2016). Linear road features in the geodatabase were converted to a 10 meter resolution grid and road length was calculated as the area of local road grid pixels in the RZ divided by pixel length. Local roads have MTFCC code equal to S1400 in the 2015 TIGER Roads National Geodatabase. (See also Riparian Zone glossary definition).","US Census Bureau TIGER Roads National Geodatabase (2015 version). HUC8 Version: NHDPlus2 WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[2.142276,"Stressor","Density Local Roads in RZ (2015)","ROADS_LOCAL_DENSITY_2015_RZ","Density of local roads in the Riparian Zone (RZ) of the HUC8 (kilometer per square kilometer). Local roads are a paved non-arterial street, road, or byway that usually has a single lane of traffic in each direction and may be privately or publicly maintained. Source data used was the 2015 TIGER Roads National Geodatabase from the US Census Bureau (https://www.census.gov/geo/maps-data/data/tiger-geodatabases.html; downloaded March 2016). Linear road features in the geodatabase were converted to a 10 meter resolution grid and road length was calculated as the area of local road grid pixels in the RZ divided by pixel length. Local road density in the RZ was calculated as: Local Road Length in RZ / RZ Area. Local roads have MTFCC code equal to S1400 in the 2015 TIGER Roads National Geodatabase. (See also Riparian Zone glossary definition).","US Census Bureau TIGER Roads National Geodatabase (2015 version). HUC8 Version: NHDPlus2 WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[2.142277,"Stressor","Length Minor Roads/Trails in RZ (2015)","ROADS_MINOR_LENGTH_2015_RZ","Length of minor roads in the Riparian Zone (RZ) of the HUC8 (kilometers). Minor roads include unpaved dirt trails for four-wheel drive vehicles, access ramps to highways, service roads along highways, alleys, private roads, and parking lot roads. Source data used was the 2015 TIGER Roads National Geodatabase from the US Census Bureau (https://www.census.gov/geo/maps-data/data/tiger-geodatabases.html; downloaded March 2016). Linear road features in the geodatabase were converted to a 10 meter resolution grid and road length was calculated as the area of minor road grid pixels in the RZ divided by pixel length. Minor roads have MTFCC code equal to S1500, S1630, S1640, S1730, S1740, or S1780 in the 2015 TIGER Roads National Geodatabase. (See also Riparian Zone glossary definition).","US Census Bureau TIGER Roads National Geodatabase (2015 version). HUC8 Version: NHDPlus2 WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[2.142278,"Stressor","Density Minor Roads/Trails in RZ (2015)","ROADS_MINOR_DENSITY_2015_RZ","Density of minor roads in the Riparian Zone (RZ) of the HUC8 (kilometer per square kilometer). Minor roads include unpaved dirt trails for four-wheel drive vehicles, access ramps to highways, service roads along highways, alleys, private roads, and parking lot roads. Source data used was the 2015 TIGER Roads National Geodatabase from the US Census Bureau (https://www.census.gov/geo/maps-data/data/tiger-geodatabases.html; downloaded March 2016). Linear road features in the geodatabase were converted to a 10 meter resolution grid and road length was calculated as the area of minor road grid pixels in the RZ divided by pixel length. Minor road density in the RZ was calculated as: Minor Road Length in RZ / RZ Area. Minor roads have MTFCC code equal to S1500, S1630, S1640, S1730, S1740, or S1780 in the 2015 TIGER Roads National Geodatabase. (See also Riparian Zone glossary definition).","US Census Bureau TIGER Roads National Geodatabase (2015 version). HUC8 Version: NHDPlus2 WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[2.142279,"Stressor","Length All Roads in RZ (2015)","ROADS_ALL_LENGTH_2015_RZ","Length of all roads in the Riparian Zone (RZ) of the HUC8 (kilometers). Source data used was the 2015 TIGER Roads National Geodatabase from the US Census Bureau (https://www.census.gov/geo/maps-data/data/tiger-geodatabases.html; downloaded March 2016). Linear road features in the geodatabase were converted to a 10 meter resolution grid and road length was calculated as the area of road grid pixels in the RZ divided by pixel length. Includes roads with MTFCC code equal to S1100 (primary road), S1200 (secondary road), S1400 (local road), S1500 (vehicular trail), S1630 (ramp), S1640 (service drive), S1730 (alley), S1740 (private road), or S1780 (parking lot road) in the 2015 TIGER Roads National Geodatabase. Features with MTFCC code equal to S1710 (walkway), S1720 (stairway), S1820 (bike path), S1830 (bridle path), and S2000 (unpaved median) were classified as non-road features and not counted. (See also Riparian Zone glossary definition).","US Census Bureau TIGER Roads National Geodatabase (2015 version). HUC8 Version: NHDPlus2 WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[2.1422791,"Stressor","Length Railroads in RZ (2015)","RAILS_LENGTH_2015_RZ","Length of railroads in the Riparian Zone (RZ) of the HUC8 (kilometers). Source data used was the 2015 TIGER Rails National Geodatabase from the US Census Bureau (https://www.census.gov/geo/maps-data/data/tiger-geodatabases.html; downloaded March 2016). Linear rail features in the geodatabase were converted to a 10 meter resolution grid and rail length was calculated as the area of rail grid pixels in the RZ divided by pixel length. All features in the 2015 TIGER Rails National Geodatabase are counted in railroad length. (See also Riparian Zone glossary definition).","US Census Bureau TIGER Rails National Geodatabase (2015 version). HUC8 Version: NHDPlus2 WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[2.1422792,"Stressor","Density Railroads in RZ (2015)","RAILS_DENSITY_2015_RZ","Density of railroads in the Riparian Zone (RZ) of the HUC8 (kilometer per square kilometer). Source data used was the 2015 TIGER Rails National Geodatabase from the US Census Bureau (https://www.census.gov/geo/maps-data/data/tiger-geodatabases.html; downloaded March 2016). Linear rail features in the geodatabase were converted to a 10 meter resolution grid and rail length was calculated as the area of rail grid pixels in the HUC8 divided by pixel length. Railroad density in the RZ was calculated as: Railroad Length in RZ / HUC8 Area. All features in the 2015 TIGER Rails National Geodatabase are counted in railroad length. (See also Riparian Zone glossary definition).","US Census Bureau TIGER Rails National Geodatabase (2015 version). HUC8 Version: NHDPlus2 WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[2.1422793,"Stressor","Length Roads & Rails in RZ (2015)","ROADS_RAILS_LENGTH_2015_RZ","Length of all roads and railroads in the Riparian Zone (RZ) of the HUC8 (kilometers). Source data used was the 2015 TIGER Roads National Geodatabase and the 2015 TIGER Rails National Geodatabase from the US Census Bureau (https://www.census.gov/geo/maps-data/data/tiger-geodatabases.html; downloaded March 2016). Linear road/rail features in each geodatabase were converted to a 10 meter resolution grid and road/rail length was calculated as the area of road/rail grid pixels in the RZ divided by pixel length. Includes roads with MTFCC code equal to S1100 (primary road), S1200 (secondary road), S1400 (local road), S1500 (vehicular trail), S1630 (ramp), S1640 (service drive), S1730 (alley), S1740 (private road), or S1780 (parking lot road) in the 2015 TIGER Roads National Geodatabase. Features with MTFCC code equal to S1710 (walkway), S1720 (stairway), S1820 (bike path), S1830 (bridle path), and S2000 (unpaved median) were classified as non-road features and not counted. All features in the 2015 TIGER Rails National Geodatabase are counted in railroad length. (See also Riparian Zone glossary definition).","US Census Bureau TIGER Roads National Geodatabase (2015 version); TIGER Rails National Geodatabase (2015 version). HUC8 Version: NHDPlus2 WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[2.1431,"Stressor","Count Road-Stream Crossings (2015)","ROAD_2015_STRM_X_SO_ALL_CNT_WS","Number of road-stream crossings in the HUC8. Source data were the US Census Bureau TIGER Roads National Geodatabase (2015 version) and the NHDPlus2 CatSeed grid (downloaded October 2012; http://www.horizon-systems.com/NHDPlus/NHDPlusV2_data.php).","US Census Bureau TIGER Roads National Geodatabase (2015 version); NHDPlus2 Catseed Grid"]
[2.1432,"Stressor","Density Road-Stream Crossing in WS (2015)","ROAD_2015_STRM_X_DENS_WS","Density of road-stream crossings in the HUC8 (number of crossings per square kilometer). Source data were the US Census Bureau TIGER Roads National Geodatabase (2015 version) and the NHDPlus2 CatSeed grid (downloaded October 2012; http://www.horizon-systems.com/NHDPlus/NHDPlusV2_data.php). Equation used: Number of Road-Stream Crossings / HUC8 Area.","US Census Bureau TIGER Roads National Geodatabase (2015 version); NHDPlus2 Catseed Grid."]
[2.1433,"Stressor","Count Road-Stream Crossings, 1st Order (2015)","ROAD_2015_STREAM_X_SO_1_CNT_WS","Number of road-stream crossings over 1st order streams in the HUC8. Stream order describes the position of a stream reach in the stream network, with reaches sequentially numbered from 1st order headwaters to 9th order large rivers. Source data were the US Census Bureau TIGER Roads National Geodatabase (2015 version) and the NHDPlus2 CatSeed grid and Value Added Attributes (VAA) tables (downloaded October 2012; http://www.horizon-systems.com/NHDPlus/NHDPlusV2_data.php).","US Census Bureau TIGER Roads National Geodatabase (2015 version); NHDPlus2 Catseed Grid; NHDPlus2 PlusFlowlineVAA tables."]
[2.1434,"Stressor","Count Road-Stream Crossings, 2nd Order (2015)","ROAD_2015_STREAM_X_SO_2_CNT_WS","Number of road-stream crossings over 2nd order streams in the HUC8. Stream order describes the position of a stream reach in the stream network, with reaches sequentially numbered from 1st order headwaters to 9th order large rivers. Source data were the US Census Bureau TIGER Roads National Geodatabase (2015 version) and the NHDPlus2 CatSeed grid and Value Added Attributes (VAA) tables (downloaded October 2012; http://www.horizon-systems.com/NHDPlus/NHDPlusV2_data.php).","US Census Bureau TIGER Roads National Geodatabase (2015 version); NHDPlus2 Catseed Grid; NHDPlus2 PlusFlowlineVAA tables."]
[2.1435,"Stressor","Count Road-Stream Crossings, 3rd Order (2015)","ROAD_2015_STREAM_X_SO_3_CNT_WS","Number of road-stream crossings over 3rd order streams in the HUC8. Stream order describes the position of a stream reach in the stream network, with reaches sequentially numbered from 1st order headwaters to 9th order large rivers. Source data were the US Census Bureau TIGER Roads National Geodatabase (2015 version) and the NHDPlus2 CatSeed grid and Value Added Attributes (VAA) tables (downloaded October 2012; http://www.horizon-systems.com/NHDPlus/NHDPlusV2_data.php).","US Census Bureau TIGER Roads National Geodatabase (2015 version); NHDPlus2 Catseed Grid; NHDPlus2 PlusFlowlineVAA tables."]
[2.1436,"Stressor","Count Road-Stream Crossings, 4th Order (2015)","ROAD_2015_STREAM_X_SO_4_CNT_WS","Number of road-stream crossings over 4th order streams in the HUC8. Stream order describes the position of a stream reach in the stream network, with reaches sequentially numbered from 1st order headwaters to 9th order large rivers. Source data were the US Census Bureau TIGER Roads National Geodatabase (2015 version) and the NHDPlus2 CatSeed grid and Value Added Attributes (VAA) tables (downloaded October 2012; http://www.horizon-systems.com/NHDPlus/NHDPlusV2_data.php).","US Census Bureau TIGER Roads National Geodatabase (2015 version); NHDPlus2 Catseed Grid; NHDPlus2 PlusFlowlineVAA tables."]
[2.1437,"Stressor","Count Road-Stream Crossings, 5th Order (2015)","ROAD_2015_STREAM_X_SO_5_CNT_WS","Number of road-stream crossings over 5th order streams in the HUC8. Stream order describes the position of a stream reach in the stream network, with reaches sequentially numbered from 1st order headwaters to 9th order large rivers. Source data were the US Census Bureau TIGER Roads National Geodatabase (2015 version) and the NHDPlus2 CatSeed grid and Value Added Attributes (VAA) tables (downloaded October 2012; http://www.horizon-systems.com/NHDPlus/NHDPlusV2_data.php).","US Census Bureau TIGER Roads National Geodatabase (2015 version); NHDPlus2 Catseed Grid; NHDPlus2 PlusFlowlineVAA tables."]
[2.1438,"Stressor","Count Road-Stream Crossings, 6th Order (2015)","ROAD_2015_STREAM_X_SO_6_CNT_WS","Number of road-stream crossings over 6th order streams in the HUC8. Stream order describes the position of a stream reach in the stream network, with reaches sequentially numbered from 1st order headwaters to 9th order large rivers. Source data were the US Census Bureau TIGER Roads National Geodatabase (2015 version) and the NHDPlus2 CatSeed grid and Value Added Attributes (VAA) tables (downloaded October 2012; http://www.horizon-systems.com/NHDPlus/NHDPlusV2_data.php).","US Census Bureau TIGER Roads National Geodatabase (2015 version); NHDPlus2 Catseed Grid; NHDPlus2 PlusFlowlineVAA tables."]
[2.1439,"Stressor","Count Road-Stream Crossings, 7th Order (2015)","ROAD_2015_STREAM_X_SO_7_CNT_WS","Number of road-stream crossings over 7th order streams in the HUC8. Stream order describes the position of a stream reach in the stream network, with reaches sequentially numbered from 1st order headwaters to 9th order large rivers. Source data were the US Census Bureau TIGER Roads National Geodatabase (2015 version) and the NHDPlus2 CatSeed grid and Value Added Attributes (VAA) tables (downloaded October 2012; http://www.horizon-systems.com/NHDPlus/NHDPlusV2_data.php).","US Census Bureau TIGER Roads National Geodatabase (2015 version); NHDPlus2 Catseed Grid; NHDPlus2 PlusFlowlineVAA tables."]
[2.144,"Stressor","Count Road-Stream Crossings, 8th Order (2015)","ROAD_2015_STREAM_X_SO_8_CNT_WS","Number of road-stream crossings over 8th order streams in the HUC8. Stream order describes the position of a stream reach in the stream network, with reaches sequentially numbered from 1st order headwaters to 9th order large rivers. Source data were the US Census Bureau TIGER Roads National Geodatabase (2015 version) and the NHDPlus2 CatSeed grid and Value Added Attributes (VAA) tables (downloaded October 2012; http://www.horizon-systems.com/NHDPlus/NHDPlusV2_data.php).","US Census Bureau TIGER Roads National Geodatabase (2015 version); NHDPlus2 Catseed Grid; NHDPlus2 PlusFlowlineVAA tables."]
[2.1441,"Stressor","Count Road-Stream Crossings, 9th Order (2015)","ROAD_2015_STREAM_X_SO_9_CNT_WS","Number of road-stream crossings over 9th order streams in the HUC8. Stream order describes the position of a stream reach in the stream network, with reaches sequentially numbered from 1st order headwaters to 9th order large rivers. Source data were the US Census Bureau TIGER Roads National Geodatabase (2015 version) and the NHDPlus2 CatSeed grid and Value Added Attributes (VAA) tables (downloaded October 2012; http://www.horizon-systems.com/NHDPlus/NHDPlusV2_data.php).","US Census Bureau TIGER Roads National Geodatabase (2015 version); NHDPlus2 Catseed Grid; NHDPlus2 PlusFlowlineVAA tables."]
[2.1442,"Stressor","Count Road-Stream Crossings, 1st-3rd Order (2015)","ROAD_2015_STRM_X_SO_1_3_CNT_WS","Number of road-stream crossings over 1st through 3rd order streams in the HUC8. Stream order describes the position of a stream reach in the stream network, with reaches sequentially numbered from 1st order headwaters to 9th order large rivers. Source data were the US Census Bureau TIGER Roads National Geodatabase (2015 version) and the NHDPlus2 CatSeed grid and Value Added Attributes (VAA) tables (downloaded October 2012; http://www.horizon-systems.com/NHDPlus/NHDPlusV2_data.php).","US Census Bureau TIGER Roads National Geodatabase (2015 version); NHDPlus2 Catseed Grid; NHDPlus2 PlusFlowlineVAA tables."]
[2.1443,"Stressor","Count Road-Stream Crossings, 4th-9th Order (2015)","ROAD_2015_STRM_X_SO_4_9_CNT_WS","Number of road-stream crossings over 4th through 9th order streams in the HUC8. Stream order describes the position of a stream reach in the stream network, with reaches sequentially numbered from 1st order headwaters to 9th order large rivers. Source data were the US Census Bureau TIGER Roads National Geodatabase (2015 version) and the NHDPlus2 CatSeed grid and Value Added Attributes (VAA) tables (downloaded October 2012; http://www.horizon-systems.com/NHDPlus/NHDPlusV2_data.php).","US Census Bureau TIGER Roads National Geodatabase (2015 version); NHDPlus2 Catseed Grid; NHDPlus2 PlusFlowlineVAA tables."]
[{"v":2.211,"d":"2.211000"},"Stressor","% Urban Contiguous to Water in WS (2016)","URB_16_CON_H2O_PCT_WS","Percent of the HUC8 that is classified as urban land cover and contiguous to surface water. This indicator does not count areas with urban land cover in the HUC8 that are buffered from surface water by other land use types. Source data used were the Water Mask and the 2016 CDL-NLCD Hybrid Land Cover dataset. Urban cover classes include 'Developed, Open Space' (code 121), 'Developed, Low Intensity' (code 122), 'Developed, Medium Intensity' (code 123), 'Developed, High Intensity' (code 124) in the 2016 CDL-NLCD Hybrid Land Cover dataset. Equation used: Urban Contiguous to Water Area / HUC8 Area * 100. (See also Water Mask and 2016 CDL-NLCD Hybrid Land Cover glossary definitions).","2016 CDL-NLCD and Water Mask (June 2019 version). HUC8 Version: NHDPlus2 WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[{"v":2.221,"d":"2.221000"},"Stressor","% Agriculture Contiguous to Water in WS (2016)","AG_16_CON_H2O_PCT_WS","Percent of the HUC8 that is classified as agricultural land cover and contiguous to surface water. This indicator does not count areas with agricultural land cover in the HUC8 that are buffered from surface water by other land use types. Source data used were the Water Mask and the 2016 CDL-NLCD Hybrid Land Cover dataset. Agriculture cover classes includes cropland and pasture; codes 1 through 92, 181, 182, and 204 through 254 in the 2016 CDL-NLCD Hybrid Land Cover dataset. Equation used: Agriculture Contiguous to Water Area / HUC8 Area * 100. (See also Water Mask and 2016 CDL-NLCD Hybrid Land Cover glossary definitions).","2016 CDL-NLCD and Water Mask (June 2019 version). HUC8 Version: NHDPlus2 WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[{"v":2.2221,"d":"2.222100"},"Stressor","% Agriculture on Hydric Soil in WS","AG_HYDRIC_PCT_WS","Percent of the HUC8 with agriculture on hydric soils. Calculated by overlaying soils units with ? 80% hydric soils from the Natural Resources Conservation Service Soil Survey Geographic Database (SSURGO) with agricultural land cover classes from a custom land cover dataset that combined the 2006 National Land Cover Database (NLCD 2006) and the 2010 USDA Cropland Data Layer (CDL). Because SSURGO classifies map units as 'percent hydric' rather than hydric or non-hydric, a minimum threshold of 80% hydric soils per map unit was used to distinguish hydric soils from non-hydric soils. Equation used: Area of Agriculture on Hydric Soils / HUC8 Area * 100. This indicator was calculated for EPA EnviroAtlas. Additional information on source data and calculation methods can be found at: https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B167113DA-E941-4CB3-8E93-8FE2600C08DA%7D","EPA EnviroAtlas \"Percent Agriculture on Hydric Soil for the Conterminous United States\" dataset. May 7, 2015 version."]
[{"v":2.2251,"d":"2.225100"},"Stressor","% Agriculture on > 10% Slope in WS (2016)","AG_CDLNLCD16_PCT_SLP10_WS","Percent of the HUC8 with agriculture cover on slopes greater than or equal to 10 percent. Source data were the 2016 CDL-NLCD Hybrid Land Cover dataset and NED Snapshot dataset. Agriculture cover classes include cropland and pasture; codes 1 through 92, 181, 182, and 204 through 254 in the 2016 CDL-NLCD Hybrid Land Cover dataset. Calculated as the area of agriculture cover on slopes greater than or equal to 10 percent, divided by HUC8 area, multiplied by 100. (See also 2016 CDL-NLCD Hybrid Land Cover and NED Snapshot glossary definitions).","2016 CDL-NLCD; NHDPlus2 NED Snapshot (downloaded October 2012). HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[{"v":2.2252,"d":"2.225200"},"Stressor","% Agriculture on > 20% Slope in WS (2016)","AG_CDLNLCD16_PCT_SLP20_WS","Percent of the HUC8 with agriculture cover on slopes greater than or equal to 20 percent. Source data were the 2016 CDL-NLCD Hybrid Land Cover dataset and NED Snapshot dataset. Agriculture cover classes include cropland and pasture; codes 1 through 100, 181, 182, and 204 through 254 in the 2016 CDL-NLCD Hybrid Land Cover dataset. Calculated as the area of agriculture cover on slopes greater than or equal to 20 percent, divided by HUC8 area, multiplied by 100. (See also 2016 CDL-NLCD Hybrid Land Cover and NED Snapshot glossary definitions).","2016 CDL-NLCD; NHDPlus2 NED Snapshot (downloaded October 2012). HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[{"v":2.2261,"d":"2.226100"},"Stressor","% Slope of Cropland, Mean in WS (2016)","CROP_CDLNLCD16_SLPMEAN_WS","Mean slope of cultivated crop cover in the HUC8 (percent). Source data were the 2016 CDL-NLCD Hybrid Land Cover dataset and NED Snapshot dataset. Cultivated crop cover classes include non-pasture agriculture; codes 1 through 35, 38 through 57, 66 through 100, 182, and 204 through 254 in the 2016 CDL-NLCD Hybrid Land Cover dataset. Calculated as the mean slope for grid pixels classified as cultivated crop cover in the HUC8. (See also 2016 CDL-NLCD Hybrid Land Cover and NED Snapshot glossary definitions).","2016 CDL-NLCD; NHDPlus2 NED Snapshot (downloaded October 2012). HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[{"v":2.2262,"d":"2.226200"},"Stressor","% Cropland on > 3% Slope in WS (2016)","CROP_CDLNLCD16_PCT_SLP3_WS","Percent of the HUC8 with cultivated crop cover on slopes greater than or equal to 3 percent. Source data were the 2016 CDL-NLCD Hybrid Land Cover dataset and NED Snapshot dataset. Cultivated crop cover classes include non-pasture agriculture; codes 1 through 35, 38 through 57, 66 through 100, 182, and 204 through 254 in the 2016 CDL-NLCD Hybrid Land Cover dataset. Calculated as the area of cultivated crop cover on slopes greater than or equal to 3 percent, divided by HUC8 area, multiplied by 100. (See also 2016 CDL-NLCD Hybrid Land Cover and NED Snapshot glossary definitions).","2016 CDL-NLCD; NHDPlus2 NED Snapshot (downloaded October 2012). HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[{"v":2.2263,"d":"2.226300"},"Stressor","% Cropland on > 10% Slope in WS (2016)","CROP_CDLNLCD16_PCT_SLP10_WS","Percent of the HUC8 with cultivated crop cover on slopes greater than or equal to 10 percent. Source data were the 2016 CDL-NLCD Hybrid Land Cover dataset and NED Snapshot dataset. Cultivated crop cover classes include non-pasture agriculture; codes 1 through 35, 38 through 57, 66 through 100, 182, and 204 through 254 in the 2016 CDL-NLCD Hybrid Land Cover dataset. Calculated as the area of cultivated crop cover on slopes greater than or equal to 10 percent, divided by HUC8 area, multiplied by 100. (See also 2016 CDL-NLCD Hybrid Land Cover and NED Snapshot glossary definitions).","2016 CDL-NLCD; NHDPlus2 NED Snapshot (downloaded October 2012). HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[{"v":2.2264,"d":"2.226400"},"Stressor","% Slope of Cropland, Mean in RZ (2016)","CROP_CDLNLCD16_SLPMEAN_RZ","Mean slope of cultivated crop cover in the Riparian Zone of the HUC8 (percent). Source data were the 2016 CDL-NLCD Hybrid Land Cover dataset and NED Snapshot dataset. Cultivated crop cover classes include non-pasture agriculture; codes 1 through 35, 38 through 57, 66 through 100, 182, and 204 through 254 in the 2016 CDL-NLCD Hybrid Land Cover dataset. Calculated as the mean slope for grid pixels classified as cultivated crop cover in the Riparian Zone of the HUC8. (See also 2016 CDL-NLCD Hybrid Land Cover, Riparian Zone, and NED Snapshot glossary definitions).","2016 CDL-NLCD; NHDPlus2 NED Snapshot (downloaded October 2012); RZ grid (June 2019 version). HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[{"v":2.2271,"d":"2.227100"},"Stressor","% Slope of Pasture, Mean in WS (2016)","PAST_CDLNLCD16_SLPMEAN_WS","Mean slope of pasture cover in the HUC8 (percent). Source data were the 2016 CDL-NLCD Hybrid Land Cover dataset and NED Snapshot dataset. Pasture cover classes include any uncropped agriculture cover; codes 36, 37, 58 through 61, and 181 in the 2016 CDL-NLCD Hybrid Land Cover dataset. Calculated as the mean slope for grid pixels classified as pasture cover in the HUC8. (See also 2016 CDL-NLCD Hybrid Land Cover and NED Snapshot glossary definitions).","2016 CDL-NLCD; NHDPlus2 NED Snapshot (downloaded October 2012). HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[{"v":2.2272,"d":"2.227200"},"Stressor","% Pasture on > 10% Slope in WS (2016)","PAST_CDLNLCD16_PCT_SLP10_WS","Percent of the HUC8 with pasture cover on slopes greater than or equal to 10 percent. Source data were the 2016 CDL-NLCD Hybrid Land Cover dataset and NED Snapshot dataset. Pasture cover classes include any uncropped agriculture cover; codes 36, 37, 58 through 61, and 181 in the 2016 CDL-NLCD Hybrid Land Cover dataset. Calculated as the area of pasture cover on slopes greater than or equal to 10 percent, divided by HUC8 area, multiplied by 100. (See also 2016 CDL-NLCD Hybrid Land Cover and NED Snapshot glossary definitions).","2016 CDL-NLCD; NHDPlus2 NED Snapshot (downloaded October 2012). HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[{"v":2.2273,"d":"2.227300"},"Stressor","% Slope of Pasture, Mean in RZ (2016)","PAST_CDLNLCD16_SLPMEAN_RZ","Mean slope of pasture cover in the Riparian Zone of the HUC8 (percent). Source data were the 2016 CDL-NLCD Hybrid Land Cover dataset and NED Snapshot dataset. Pasture cover classes include any uncropped agriculture cover; codes 36, 37, 58 through 61, and 181 in the 2016 CDL-NLCD Hybrid Land Cover dataset. Calculated as the mean slope value for grid pixels classified as pasture cover in the Riparian Zone of the HUC8. (See also 2016 CDL-NLCD Hybrid Land Cover, Riparian Zone, and NED Snapshot glossary definitions).","2016 CDL-NLCD; NHDPlus2 NED Snapshot (downloaded October 2012); RZ grid (June 2019 version). HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[{"v":2.3,"d":"2.300000"},"Stressor","% High Intensity Land Cover in RZ (2016)","CROP_MH_URB_CDLNLCD16_PCT_RZ","Percent of the HUC8 that is in the Riparian Zone and classified as high-intensity land cover by the 2016 CDL-NLCD Hybrid Land Cover dataset. High-intensity land cover classes are defined as cultivated crops (non-pasture agriculture), medium-density urban, and high-density urban; codes 1 through 35, 38 through 57, 66 through 92, 123 through 124, 182, and 204 through 254 in the 2016 CDL-NLCD Hybrid Land Cover dataset. Calculated as the sum cultivated crop, medium-density urban, and high-density urban area in the Riparian Zone, divided by HUC8 area, multiplied by 100. (See also 2016 CDL-NLCD Hybrid Land Cover and Riparian Zone glossary definitions).","2016 CDL-NLCD and RZ Grid (June 2019 version). HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[{"v":2.3111,"d":"2.311100"},"Stressor","% Human Use, U-Index1 in WS (2016)","U_INDEX_CDLNLCD16_PCT_WS","Percent of the HUC8 classified as a human land use (excluding barren land) by the 2016 CDL-NLCD Hybrid Land Cover dataset. Human use land cover classes in the U-Index1 include cropland, pasture, and urban; codes 1 through 92, 121 through 124, 181, 182, and 204 through 254 in the 2016 CDL-NLCD Hybrid Land Cover dataset. Equation used: U-Index1 Area / HUC8 Area * 100. (See also 2016 CDL-NLCD Hybrid Land Cover glossary definition).\n","2016 CDL-NLCD. HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[{"v":2.3112,"d":"2.311200"},"Stressor","% Human Use, U-Index1 in HCZ (2016)","U_INDEX_CDLNLCD16_PCT_HZ","Percent of the HUC8 that is in the Hydrologically Connected Zone (HCZ) and classified as a human land use (excluding barren land) by the 2016 CDL-NLCD Hybrid Land Cover dataset. Human use land cover classes in the U-Index1 include cropland, pasture, and urban; codes 1 through 92, 121 through 124, 181, 182, and 204 through 254 in the 2016 CDL-NLCD Hybrid Land Cover dataset. Equation used: Area of U-Index1 in HCZ / HUC8 Area * 100. (See also 2016 CDL-NLCD Hybrid Land Cover and Hydrologically Connected Zone glossary definitions).","2016 CDL-NLCD and HCZ Grid (June 2019 version). HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[{"v":2.3113,"d":"2.311300"},"Stressor","% Human Use, U-Index1 in RZ (2016)","U_INDEX_CDLNLCD16_PCT_RZ","Percent of the HUC8 that is in the Riparian Zone (RZ) and classified as a human land use (excluding barren land) by the 2016 CDL-NLCD Hybrid Land Cover dataset. Human use land cover classes in the U-Index1 include cropland, pasture, and urban; codes 1 through 92, 121 through 124, 181, 182, and 204 through 254 in the 2016 CDL-NLCD Hybrid Land Cover dataset. Equation used: Area of U-Index1 in RZ / HUC8 Area * 100. (See also 2016 CDL-NLCD Hybrid Land Cover and Riparian Zone glossary definitions).","2016 CDL-NLCD and RZ Grid (June 2019 version). HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[{"v":2.31141,"d":"2.311410"},"Stressor","% Human Use Change, U-Index1 Chng in WS (2001-16)","U_INDEX_CHG_2001_16_PCT_WS","The change in the percentage of the HUC8 with human use land cover (excluding barren land) from 2001 to 2016. Source data were the National Land Cover Database 2016 (NLCD 2016) 2001 and 2016 Land Cover datasets (January 2019 version). Human use cover classes included in the U-Index1 are 'Developed, Open Space', 'Developed, Low Intensity', 'Developed, Medium Intensity', 'Developed, High Intensity', 'Pasture/Hay', and 'Cultivated Crops' cover classes; codes 21 through 24, 81, and 82 in the 2001 and 2016 Land Cover datasets. Positive values denote an increase in U-Index1; negative values denote a decrease in U-Index1. Does not count areas that changed to/from the 'Open Water' class (code 11) since these were assumed to be errors. Equation used: (Area Changing to U-Index1 – Area Changing From U-Index1)/(HUC8 Area) * 100.","NLCD 2016 - 2001 and 2016 Land Cover Datasets (January 2019 Version)."]
[{"v":2.31142,"d":"2.311420"},"Stressor","% Human Use Change, U-Index1 Chng in HCZ (2001-16)","U_INDEX_CHG_2001_16_PCT_HZ","The change in the percentage of the HUC8 with human use land cover (excluding barren land) in the Hydrologically Connected Zone (HCZ) from 2001 to 2016. Source data were the National Land Cover Database 2016 (NLCD 2016) 2001 and 2016 Land Cover datasets (January 2019 version). Human use cover classes included in the U-Index1 are 'Developed, Open Space', 'Developed, Low Intensity', 'Developed, Medium Intensity', 'Developed, High Intensity', 'Pasture/Hay', and 'Cultivated Crops' cover classes; codes 21 through 24, 81, and 82 in the 2001 and 2016 Land Cover datasets. Positive values denote an increase in U-Index1; negative values denote a decrease in U-Index1. Does not count areas that changed to/from the 'Open Water' class (code 11) since these were assumed to be errors. Equation used: (Area Changing to U-Index1 in the HCZ – Area Changing From U-Index1 in the HCZ)/(HUC8 Area) * 100. (See also Hydrologically Connected Zone glossary definition).","NLCD 2016 - 2001 and 2016 Land Cover Datasets (January 2019 Version); HCZ grid (June 2019 version)."]
[{"v":2.31143,"d":"2.311430"},"Stressor","% Human Use Change, U-Index1 Chng in RZ (2001-16)","U_INDEX_CHG_2001_16_PCT_RZ","The change in the percentage of the HUC8 with human use land cover (excluding barren land) in the Riparian Zone (RZ) from 2001 to 2016. Source data were the National Land Cover Database 2016 (NLCD 2016) 2001 and 2016 Land Cover datasets (January 2019 version). Human use cover classes included in the U-Index1 are 'Developed, Open Space', 'Developed, Low Intensity', 'Developed, Medium Intensity', 'Developed, High Intensity', 'Pasture/Hay', and 'Cultivated Crops' cover classes; codes 21 through 24, 81, and 82 in the 2001 and 2016 Land Cover datasets. Positive values denote an increase in U-Index1; negative values denote a decrease in U-Index1. Does not count areas that changed to/from the 'Open Water' class (code 11) since these were assumed to be errors. Equation used: (Area Changing to U-Index1 in the RZ – Area Changing From U-Index1 in the RZ)/(HUC8 Area) * 100. (See also Riparian Zone glossary definition).","NLCD 2016 - 2001 and 2016 Land Cover Datasets (January 2019 Version); RZ grid (June 2019 version)."]
[{"v":2.3116,"d":"2.311600"},"Stressor","% U-Index1 Contiguous to Water in WS (2016)","U_INDEX_16_CON_H2O_PCT_WS","Percent of the HUC8 that is classified as a human land use (excluding barren land) and contiguous to surface water. This indicator does not count areas with human use land cover in the HUC8 that are buffered from surface water by other land use types. Source data used were the Water Mask and the 2016 CDL-NLCD Hybrid Land Cover dataset. Human use land cover classes in the U-Index1 include cropland, pasture, and urban; codes 1 through 92, 121 through 124, 181, 182, and 204 through 254 in the 2016 CDL-NLCD Hybrid Land Cover dataset. Equation used: U-Index1 Contiguous to Water Area / HUC8 Area * 100. (See also Water Mask and 2016 CDL-NLCD Hybrid Land Cover glossary definitions).","2016 CDL-NLCD and Water Mask (June 2019 version). HUC8 Version: NHDPlus2 WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[{"v":2.3121,"d":"2.312100"},"Stressor","% Human Use, U-index2 in WS (2016)","U_INDEX2_CDLNLCD16_PCT_WS","Percent of the HUC8 classified as a human land use (including barren land) by the 2016 CDL-NLCD Hybrid Land Cover dataset. Human use land cover classes in the U-Index2 include barren, cropland, pasture, and urban; codes 1 through 92, 121 through 124, 131, 181, 182, and 204 through 254 in the 2016 CDL-NLCD Hybrid Land Cover dataset. Equation used: U-Index2 2 Area / HUC8 Area * 100. (See also 2016 CDL-NLCD Hybrid Land Cover glossary definition).\n","2016 CDL-NLCD. HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[{"v":2.3122,"d":"2.312200"},"Stressor","% Human Use, U-index2 in HCZ (2016)","U_INDEX2_CDLNLCD16_PCT_HZ","Percent of the HUC8 that is in the Hydrologically Connected Zone (HCZ) and classified as a human land use (including barren land) by the 2016 CDL-NLCD Hybrid Land Cover dataset. Human use land cover classes in the U-Index2 include barren, cropland, pasture, and urban; codes 1 through 92, 121 through 124, 131, 181, 182, and 204 through 254 in the 2016 CDL-NLCD Hybrid Land Cover dataset. Equation used: Area of U-Index2 in HCZ / HUC8 Area * 100. (See also 2016 CDL-NLCD Hybrid Land Cover and Hydrologically Connected Zone glossary definitions).","2016 CDL-NLCD and HCZ Grid (June 2019 version). HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[{"v":2.3123,"d":"2.312300"},"Stressor","% Human Use, U-index2 in RZ (2016)","U_INDEX2_CDLNLCD16_PCT_RZ","Percent of the HUC8 that is in the Riparian Zone (RZ) and classified as a human land use (including barren land) by the 2016 CDL-NLCD Hybrid Land Cover dataset. Human use land cover classes in the U-Index2 include barren, cropland, pasture, and urban; codes 1 through 92, 121 through 124, 131, 181, 182, and 204 through 254 in the 2016 CDL-NLCD Hybrid Land Cover dataset. Equation used: Area of U-Index2 2 in RZ / HUC8 Area * 100. (See also 2016 CDL-NLCD Hybrid Land Cover and Riparian Zone glossary definitions).","2016 CDL-NLCD and RZ Grid (June 2019 version). HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[{"v":2.31241,"d":"2.312410"},"Stressor","% Human Use Change, U-Index2 Chng in WS (2001-16)","U_INDEX2_CHG_2001_16_PCT_WS","The change in the percentage of the HUC8 with human use land cover (including barren land) from 2001 to 2016. Source data were the National Land Cover Database 2016 (NLCD 2016) 2001 and 2016 Land Cover datasets (January 2019 version). Human use cover classes included in the U-Index2 are 'Developed, Open Space', 'Developed, Low Intensity', 'Developed, Medium Intensity', 'Developed, High Intensity', 'Barren Land (Rock/Sand/Clay)', 'Pasture/Hay', and 'Cultivated Crops' cover classes; codes 21 through 24, 31, 81, and 82 in the 2001 and 2016 Land Cover datasets. Positive values denote an increase in U-Index2; negative values denote a decrease in U-Index2. Does not count areas that changed to/from the 'Open Water' class (code 11) since these were assumed to be errors. Equation used: (Area Changing to U-Index2 – Area Changing From U-Index2)/(HUC8 Area) * 100.","NLCD 2016 - 2001 and 2016 Land Cover Datasets (January 2019 Version)."]
[{"v":2.31242,"d":"2.312420"},"Stressor","% Human Use Change, U-Index2 Chng in HCZ (2001-16)","U_INDEX2_CHG_2001_16_PCT_HZ","The change in the percentage of the HUC8 with human use land cover (including barren land) in the Hydrologically Connected Zone (HCZ) from 2001 to 2016. Source data were the National Land Cover Database 2016 (NLCD 2016) 2001 and 2016 Land Cover datasets (January 2019 version). Human use cover classes included in the U-Index2 are Developed, Open Space', 'Developed, Low Intensity', 'Developed, Medium Intensity', 'Developed, High Intensity', 'Barren Land (Rock/Sand/Clay)', 'Pasture/Hay', and 'Cultivated Crops' cover classes; codes 21 through 24, 31, 81, and 82 in the 2001 and 2016 Land Cover datasets. Positive values denote an increase in U-Index2; negative values denote a decrease in U-Index2. Does not count areas that changed to/from the 'Open Water' class (code 11) since these were assumed to be errors. Equation used: (Area Changing to U-Index2 in the HCZ – Area Changing From U-Index2 in the HCZ)/(HUC8 Area) * 100. (See also Hydrologically Connected Zone glossary definition).","NLCD 2016 - 2001 and 2016 Land Cover Datasets (January 2019 Version); HCZ grid (June 2019 version)."]
[{"v":2.31243,"d":"2.312430"},"Stressor","% Human Use Change, U-Index2 Chng in RZ (2001-16)","U_INDEX2_CHG_2001_16_PCT_RZ","The change in the percentage of the HUC8 with human use land cover (including barren land) from 2001 to 2016. Source data were the National Land Cover Database 2016 (NLCD 2016) 2001 and 2016 Land Cover datasets (January 2019 version). Human use cover classes included in the U-Index2 are 'Developed, Open Space', 'Developed, Low Intensity', 'Developed, Medium Intensity', 'Developed, High Intensity', 'Barren Land (Rock/Sand/Clay)', 'Pasture/Hay', and 'Cultivated Crops' cover classes; codes 21 through 24, 31, 81, and 82 in the 2001 and 2016 Land Cover datasets. Positive values denote an increase in U-Index2; negative values denote a decrease in U-Index2. Does not count areas that changed to/from the 'Open Water' class (code 11) since these were assumed to be errors. Equation used: (Area Changing to U-Index2 in the RZ – Area Changing From U-Index2 in the RZ)/(HUC8 Area) * 100. (See also Riparian Zone glossary definition).","NLCD 2016 - 2001 and 2016 Land Cover Datasets (January 2019 Version); RZ grid (June 2019 version)."]
[2.3126,"Stressor","% U-Index2 Contiguous to Water in WS (2016)","U_INDEX2_16_CON_H2O_PCT_WS","Percent of the HUC8 that is classified as a human land use (including barren land) and contiguous to surface water. This indicator does not count areas with human use land cover in the HUC8 that are buffered from surface water by other land use types. Calculated from the Water Mask and the 2016 CDL-NLCD Hybrid Land Cover dataset. Human use land cover classes in the U-Index1 include barren, cropland, pasture, and urban; codes 1 through 92, 121 through 124, 131, 181, 182, and 204 through 254 in the 2016 CDL-NLCD Hybrid Land Cover dataset. Equation used: U-Index2 Contiguous to Water Area / HUC8 Area * 100. (See also Water Mask and 2016 CDL-NLCD Hybrid Land Cover glossary definitions).","2016 CDL-NLCD and Water Mask (June 2019 version). HUC8 Version: NHDPlus2 WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[2.322141,"Stressor","Empower Density, Mean in WS (2001)","EMPOWER_DENSITY_2001_MEAN_WS","Mean value of empower density in the HUC8 (in units of solar equivalent Joules per square meter per year). Empower density is a measure of energy and material flow within a given area over time and provides a standardized measure for quantifying the intensity of human activity. Only includes nonrenewable energy and material use including electricity, fuels, fertilizers, pesticides, and water. Source data was a gridded dataset of empower density developed by EPA Region 4 using the NLCD 2006 Land Cover Dataset (Version 1) and empower density conversions for various land cover types reported in Brown and Vivas (2005, Landscape Development Intensity Index, Environmental Monitoring and Assessment, Volume 101).","NLCD 2006 Land Cover Dataset (Version 1)."]
[2.322241,"Stressor","Empower Density, Mean in HCZ (2001)","EMPOWER_DENSITY_2001_MEAN_HZ","Mean value of empower density in the Hydrologically Connected Zone (HCZ) of the HUC8 (in units of solar equivalent Joules per square meter per year). Empower density is a measure of energy and material flow within a given area over time and provides a standardized measure for quantifying the intensity of human activity. Only includes nonrenewable energy and material use including electricity, fuels, fertilizers, pesticides, and water. Source data was a gridded dataset of empower density developed by EPA Region 4 using the NLCD 2006 Land Cover Dataset (Version 1) and empower density conversions for various land cover types reported in Brown and Vivas (2005, Landscape Development Intensity Index, Environmental Monitoring and Assessment, Volume 101). (See also Hydrologically Connected Zone glossary definition).","NLCD 2006 Land Cover Dataset (Version 1)."]
[2.322341,"Stressor","Empower Density, Mean in RZ (2001)","EMPOWER_DENSITY_2001_MEAN_RZ","Mean value of empower density in the Riparian Zone (RZ) of the HUC8 (in units of solar equivalent Joules per square meter per year). Empower density is a measure of energy and material flow within a given area over time and provides a standardized measure for quantifying the intensity of human activity. Only includes nonrenewable energy and material use including electricity, fuels, fertilizers, pesticides, and water. Source data was a gridded dataset of empower density developed by EPA Region 4 using the NLCD 2006 Land Cover Dataset (Version 1) and empower density conversions for various land cover types reported in Brown and Vivas (2005, Landscape Development Intensity Index, Environmental Monitoring and Assessment, Volume 101). (See also Riparian Zone glossary definition).","NLCD 2006 Land Cover Dataset (Version 1)."]
[{"v":2.411,"d":"2.411000"},"Stressor","% Imperviousness, Mean in WS (2016)","PCT_IMPERVIOUSNESS2016_MEAN_WS","Percent of the HUC8 with developed impervious cover. Calculated as the mean value of percent developed imperviousness in the HUC8. Calculated from the National Land Cover Database 2016 (NLCD 2016) Percent Developed Impervious dataset (April 2019 version).","2016 NLCD Percent Imperviousness dataset (April 2019 version)."]
[2.4131,"Stressor","Proximity Waters to ≥ 5% Impervious Cover (2016)","Dif5p_16","Relative proximity of areas with at least 5% impervious cover to streams and lakeshores in the HUC8. Higher values imply that impervious cover in the HUC8 is more concentrated near surface waters. Calculated as the percent of stream and lakeshore length in the HUC8 that is near (within 30 meters of) >=5% impervious cover minus the percent of the HUC8 with >=5% impervious cover. Impervious cover source data was the National Land Cover Database 2016 (NLCD 2016) Percent Developed Imperviousness dataset; a national grid of percent imperviousness at the 30 meter scale (https://www.mrlc.gov/data/nlcd-2016-percent-developed-imperviousness-conus; January 2019 version). Stream and lakeshore location source data was the NHDPlus2 NHD Snapshot (downloaded June 2014). Streams were defined as linear features in the NHD Snapshot with FCODE (feature code) equal to 33400, 46000, 46003, 46006, or 46007; and polygon features with FCODE equal to 46003 or 46006. Lakeshores were defined as the perimeter of polygon features in the NHD Snapshot with FCODE (feature code) equal to 39001, 39004, 39009, 39010, 43600, or 43601. (See also NHD Snapshot glossary definition).","Based on analysis of the proximity of impervious cover to water features by EPA using NLCD 2016 Percent Developed Imperviousness dataset and NHDPlus2 NHD Snapshot."]
[2.41311,"Stressor","% Waters Near ≥ 5% Impervious Cover (2016)","strlak5p_16","Percent of stream and lakeshore length in the HUC8 that is within 30 meters of areas with greater than or equal to 5% impervious cover. Impervious cover source data was the National Land Cover Database 2016 (NLCD 2016) Percent Developed Imperviousness dataset; a national grid of percent imperviousness at the 30 meter scale (https://www.mrlc.gov/data/nlcd-2016-percent-developed-imperviousness-conus; January 2019 version). Stream and lakeshore location source data was the NHDPlus2 NHD Snapshot (downloaded June 2014). Streams were defined as linear features in the NHD Snapshot with FCODE (feature code) equal to 33400, 46000, 46003, 46006, or 46007; and polygon features with FCODE equal to 46003 or 46006. Lakeshores were defined as the perimeter of polygon features in the NHD Snapshot with FCODE (feature code) equal to 39001, 39004, 39009, 39010, 43600, or 43601. Calculated as the length of streams and lakeshores in the NHD Snapshot that are within 30 meters of grid pixels with greater than or equal to 5% impervious cover, divided by the total stream and lakeshore length in the HUC8, multiplied by 100. (See also NHD Snapshot glossary definition).","Based on analysis of the proximity of impervious cover to water features by EPA using NLCD 2016 Percent Developed Imperviousness dataset and NHDPlus2 NHD Snapshot."]
[2.4132,"Stressor","Proximity Waters to ≥ 15% Impervious Cover (2016)","Dif15p_16","Relative proximity of areas with at least 15% impervious cover to streams and lakeshores in the HUC8. Higher values imply that impervious cover in the HUC8 is more concentrated near surface waters. Calculated as the percent of stream and lakeshore length in the HUC8 that is near (within 30 meters) of >=15% impervious cover minus the percent of the HUC8 with >=15% impervious cover. Impervious cover source data was the National Land Cover Database 2016 (NLCD 2016) Percent Developed Imperviousness dataset; a national grid of percent imperviousness at the 30 meter scale (https://www.mrlc.gov/data/nlcd-2016-percent-developed-imperviousness-conus; January 2019 version). Stream and lakeshore location source data was the NHDPlus2 NHD Snapshot (downloaded June 2014). Streams were defined as linear features in the NHD Snapshot with FCODE (feature code) equal to 33400, 46000, 46003, 46006, or 46007; and polygon features with FCODE equal to 46003 or 46006. Lakeshores were defined as the perimeter of polygon features in the NHD Snapshot with FCODE (feature code) equal to 39001, 39004, 39009, 39010, 43600, or 43601. (See also NHD Snapshot glossary definition).","Based on analysis of the proximity of impervious cover to water features by EPA using NLCD 2016 Percent Developed Imperviousness dataset and NHDPlus2 NHD Snapshot."]
[2.4133,"Stressor","% Waters Near ≥ 15% Impervious Cover (2016)","strlak15p_16","Percent of stream and lakeshore length in the HUC8 that is within 30 meters of areas with greater than or equal to 15% impervious cover. Impervious cover source data was the National Land Cover Database 2016 (NLCD 2016) Percent Developed Imperviousness dataset; a national grid of percent imperviousness at the 30 meter scale (https://www.mrlc.gov/data/nlcd-2016-percent-developed-imperviousness-conus; January 2019 version). Stream and lakeshore location source data was the NHDPlus2 NHD Snapshot (downloaded June 2014). Streams were defined as linear features in the NHD Snapshot with FCODE (feature code) equal to 33400, 46000, 46003, 46006, or 46007; and polygon features with FCODE equal to 46003 or 46006. Lakeshores were defined as the perimeter of polygon features in the NHD Snapshot with FCODE (feature code) equal to 39001, 39004, 39009, 39010, 43600, or 43601. Calculated as the length of streams and lakeshores in the NHD Snapshot that are within 30 meters of grid pixels with greater than or equal to 15% impervious cover, divided by the total stream and lakeshore length in the HUC8, multiplied by 100. (See also NHD Snapshot glossary definition).","Based on analysis of the proximity of impervious cover to water features by EPA using NLCD 2016 Percent Developed Imperviousness dataset and NHDPlus2 NHD Snapshot."]
[2.4152,"Stressor","% Streamlength Near ≥ 5% Impervious Cover (2016)","str5p_16","Percent of streamlength in the HUC8 that is within 30 meters of areas with greater than or equal to 5% impervious cover. Impervious cover source data was the National Land Cover Database 2016 (NLCD 2016) Percent Developed Imperviousness dataset; a national grid of percent imperviousness at 30-meter resolution (https://www.mrlc.gov/data/nlcd-2016-percent-developed-imperviousness-conus; January 2019 version). Stream location source data was the NHDPlus2 NHD Snapshot (downloaded June 2014). Streams were defined as linear features in the NHD Snapshot with FCODE (feature code) equal to 33400, 46000, 46003, 46006, or 46007; and polygon features with FCODE equal to 46003 or 46006. Calculated as the length of streams in the NHD Snapshot that are within 30 meters of grid pixels with greater than or equal to 5% impervious cover, divided by total stream length in the HUC8, multiplied by 100. (See also NHD Snapshot glossary definition).","Based on analysis of the proximity of impervious cover to water features by EPA using NLCD 2016 Percent Developed Imperviousness dataset and NHDPlus2 NHD Snapshot."]
[2.4154,"Stressor","% Streamlength Near ≥ 15% Impervious Cover (2016)","str15p_16","Percent of streamlength in the HUC8 that is within 30 meters of areas with greater than or equal to 15% impervious cover. Impervious cover source data was the National Land Cover Database 2016 (NLCD 2016) Percent Developed Imperviousness dataset; a national grid of percent imperviousness at 30-meter resolution (https://www.mrlc.gov/data/nlcd-2016-percent-developed-imperviousness-conus; January 2019 version). Stream location source data was the NHDPlus2 NHD Snapshot (downloaded June 2014). Streams were defined as linear features in the NHD Snapshot with FCODE (feature code) equal to 33400, 46000, 46003, 46006, or 46007; and polygon features with FCODE equal to 46003 or 46006. Calculated as the length of streams in the NHD Snapshot that are within 30 meters of grid pixels with greater than or equal to 15% impervious cover, divided by total stream length in the HUC8, multiplied by 100. (See also NHD Snapshot glossary definition).","Based on analysis of the proximity of impervious cover to water features by EPA using NLCD 2016 Percent Developed Imperviousness dataset and NHDPlus2 NHD Snapshot."]
[2.4162,"Stressor","% Lakeshore Near ≥ 5% Impervious Cover (2016)","lak5p_16","Percent of lakeshore length in the HUC8 that is within 30 meters of areas with greater than or equal to 5% impervious cover. Impervious cover source data was the National Land Cover Database 2016 (NLCD 2016) Percent Developed Imperviousness dataset; a national grid of percent imperviousness at the 30 meter scale (https://www.mrlc.gov/data/nlcd-2016-percent-developed-imperviousness-conus; January 2019 version). Lakeshore location source data was the NHDPlus2 NHD Snapshot (downloaded June 2014). Lakeshores were defined as the perimeter of polygon features in the NHD Snapshot with FCODE (feature code) equal to 39001, 39004, 39009, 39010, 43600, or 43601. Calculated as the length of lakeshores in the NHD Snapshot that are within 30 meters of grid pixels with greater than or equal to 5% impervious cover, divided by the total lakeshore length in the HUC8, multiplied by 100. (See also NHD Snapshot glossary definition).","Based on analysis of the proximity of impervious cover to water features by EPA using NLCD 2016 Percent Developed Imperviousness dataset and NHDPlus2 NHD Snapshot."]
[2.4164,"Stressor","% Lakeshore Near ≥ 15% Impervious Cover (2016)","lak15p_16","Percent of lakeshore length in the HUC8 that is within 30 meters of areas with greater than or equal to 15% impervious cover. Impervious cover source data was the National Land Cover Database 2016 (NLCD 2016) Percent Developed Imperviousness dataset; a national grid of percent imperviousness at the 30 meter scale (https://www.mrlc.gov/data/nlcd-2016-percent-developed-imperviousness-conus; January 2019 version). Lakeshore location source data was the NHDPlus2 NHD Snapshot (downloaded June 2014). Lakeshores were defined as the perimeter of polygon features in the NHD Snapshot with FCODE (feature code) equal to 39001, 39004, 39009, 39010, 43600, or 43601. Calculated as the length of lakeshores in the NHD Snapshot that are within 30 meters of grid pixels with greater than or equal to 15% impervious cover, divided by the total lakeshore length in the HUC8, multiplied by 100. (See also NHD Snapshot glossary definition).","Based on analysis of the proximity of impervious cover to water features by EPA using NLCD 2016 Percent Developed Imperviousness dataset and NHDPlus2 NHD Snapshot."]
[2.4171,"Stressor","% HUC8 with ≥ 5% Impervious Cover (2016)","WS16_p5","Percent of the HUC8 with greater than or equal to 5% impervious cover. Source data used was the National Land Cover Database 2016 (NLCD 2016) Percent Developed Imperviousness dataset; a national grid of percent imperviousness at the 30 meter scale (https://www.mrlc.gov/data/nlcd-2016-percent-developed-imperviousness-conus; January 2019 version). Calculated as the area of grid pixels with greater than or equal to 5% impervious cover, divided by HUC8 area, multiplied by 100.","Based on analysis of the proximity of impervious cover to water features by EPA using NLCD 2016 Percent Developed Imperviousness dataset and NHDPlus2 NHD Snapshot."]
[2.4172,"Stressor","% HUC8 with ≥ 15% Impervious Cover (2016)","WS16_p15","Percent of the HUC8 with greater than or equal to 15% impervious cover. Source data used was the National Land Cover Database 2016 (NLCD 2016) Percent Developed Imperviousness dataset; a national grid of percent imperviousness at the 30 meter scale (https://www.mrlc.gov/data/nlcd-2016-percent-developed-imperviousness-conus; January 2019 version). Calculated as the area of grid pixels with greater than or equal to 15% impervious cover, divided by HUC8 area, multiplied by 100.","Based on analysis of the proximity of impervious cover to water features by EPA using NLCD 2016 Percent Developed Imperviousness dataset and NHDPlus2 NHD Snapshot."]
[{"v":2.4183,"d":"2.418300"},"Stressor","% Imperviousness, Sum in WS (2016)","PCT_IMPERVIOUSNESS2016_SUM_WS","The sum of percent developed impervious cover in the HUC8. Calculated as the sum of percent developed imperviousness for grid cells in the HUC8. Calculated from the National Land Cover Database 2016 (NLCD 2016) Percent Developed Impervious dataset (April 2019 version). ","2016 NLCD Percent Imperviousness dataset (April 2019 version)."]
[{"v":2.4184,"d":"2.418400"},"Stressor","% Imperviousness, Minimum in WS (2016)","PCT_IMPERVIOUSNESS2016_MIN_WS","The minimum value of percent developed impervious cover in the HUC8. Calculated as the minimum of percent developed imperviousness for grid cells in the HUC8. Calculated from the National Land Cover Database 2016 (NLCD 2016) Percent Developed Impervious dataset (April 2019 version). ","2016 NLCD Percent Imperviousness dataset (April 2019 version)."]
[{"v":2.4185,"d":"2.418500"},"Stressor","% Imperviousness, Maximum in WS (2016)","PCT_IMPERVIOUSNESS2016_MAX_WS","The maximum value of percent developed impervious cover in the HUC8. Calculated as the maximum of percent developed imperviousness for grid cells in the HUC8. Calculated from the National Land Cover Database 2016 (NLCD 2016) Percent Developed Impervious dataset (April 2019 version). ","2016 NLCD Percent Imperviousness dataset (April 2019 version)."]
[2.419,"Stressor","% Developed Cover Projected Change (2010-2050)","ICLUS_V2_DEV_DIFF_PCT","The projected change in the percentage of developed land cover in the HUC8 from 2010 to 2050. Calculated from the Integrated Climate and Land-Use Scenarios (ICLUS) Land Use Projection geospatial dataset (V2) for the SSP2 Pathway. The ICLUS Land Use Projection dataset is comprised of national grids of land cover types at 90 meter resolution for each decade from 2010 to 2100. Percent developed cover in 2010 and 2050 calculated from the following land cover types in ICLUS grids: Parks and Golf Courses, Exurban (Low and High Density), Suburban, Urban (Low and High Density), Commercial, Industrial, Institutional, and Transportation (grid values 9-18). The projected change in developed cover was then calculated by subtracting the 2010 percentage from the 2050 percentage.","ICLUS V2 Land Use Projections datasets (SSP2)."]
[{"v":2.421,"d":"2.421000"},"Stressor","Soil Erodibility, Mean in WS","WS_KFACTOR","Average soil erodibility (K) factor in the HUC8. Source data was a 100-meter resolution grid of soil map units and attributes in the Natural Resources Conservation Service (NRCS) Soil Survey Geographic (STATSGO2) database, acquired from the US Geological Survey in July 2013. Calculated as the mean of soil erodibility values in the HUC8.","NRCS Soil Survey Geographic (STATSGO2) database, acquired from the US Geological Survey (USGS) in July 2013. HUC8 Version: NHDPlus2 WBD Snapshot (Version 03)."]
[{"v":2.422,"d":"2.422000"},"Stressor","Soil Erodibility, Mean in HCZ","HCZ_KFACTOR","Average soil erodibility (K) factor in the Hydrologically Connected Zone (HCZ) of the HUC8. Source data was a 100-meter resolution grid of soil map units and attributes in the Natural Resources Conservation Service (NRCS) Soil Survey Geographic (STATSGO2) database, acquired from the US Geological Survey in July 2013. Calculated as the mean of soil erodibility values in the Hydrologically Connected Zone of the HUC8. (See also Hydrologically Connected Zone glossary definition).","NRCS Soil Survey Geographic (STATSGO2) database, acquired from the US Geological Survey (USGS) in July 2013. HUC8 Version: NHDPlus2 WBD Snapshot (Version 03)."]
[{"v":2.431,"d":"2.431000"},"Stressor","Population in WS","DASYMETRIC_POPULATION_WS","Human population in the HUC8 (number of persons). Source data used was the EPA EnviroAtlas 'Dasymetric Population for the Conterminous United States' raster (February 2015 version; https://enviroatlas.epa.gov/enviroatlas/DataFactSheets/pdf/Supplemental/DasymetricAllocationofPopulation.pdf). The dasymetric population raster is derived from 2010 US Census Bureau census block populations using a geospatial technique called dasymetric mapping. Dasymetric mapping uses information on land cover and slope to distribute populations to grid pixels within each census block.","EPA EnviroAtlas \"Dasymetric Population for the Conterminous United States\" grid, February 2015 version. HUC8 Version: NHDPlus2 WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[{"v":2.432,"d":"2.432000"},"Stressor","Population Density in WS","DASYMETRIC_POPULATION_DEN_WS","Human population density in the land area of the HUC8 (persons per square kilometer). Source data used was the EPA EnviroAtlas 'Dasymetric Population for the Conterminous United States' raster (February 2015 version; https://enviroatlas.epa.gov/enviroatlas/DataFactSheets/pdf/Supplemental/DasymetricAllocationofPopulation.pdf). The dasymetric population raster is derived from 2010 US Census Bureau census block populations using a geospatial technique called dasymetric mapping. Dasymetric mapping uses information on land cover and slope to distribute populations to grid pixels within each census block. Equation used: Human Population in HUC8 / (HUC8 Area - Water Mask Area). (See also Water Mask glossary definition).","EPA EnviroAtlas \"Dasymetric Population for the Conterminous United States\" grid, February 2015 version. HUC8 Version: NHDPlus2 WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[{"v":2.433,"d":"2.433000"},"Stressor","Population in RZ","DASYMETRIC_POPULATION_RZ","Human population in the Riparian Zone (RZ) of the HUC8 (number of persons). Source data used was the EPA EnviroAtlas 'Dasymetric Population for the Conterminous United States' raster (February 2015 version; https://enviroatlas.epa.gov/enviroatlas/DataFactSheets/pdf/Supplemental/DasymetricAllocationofPopulation.pdf). The dasymetric population raster is derived from 2010 US Census Bureau census block populations using a geospatial technique called dasymetric mapping. Dasymetric mapping uses information on land cover and slope to distribute populations to grid pixels within each census block.","EPA EnviroAtlas \"Dasymetric Population for the Conterminous United States\" grid (February 2015 version) and RZ Grid (August 2015 Version). HUC8 Version: NHDPlus2 WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[{"v":2.434,"d":"2.434000"},"Stressor","Population Density in RZ","DASYMETRIC_POPULATION_DEN_RZ","Human population density in the land area of the Riparian Zone (RZ) of the HUC8 (persons per square kilometer). Source data used was the EPA EnviroAtlas 'Dasymetric Population for the Conterminous United States' raster (February 2015 version; https://enviroatlas.epa.gov/enviroatlas/DataFactSheets/pdf/Supplemental/DasymetricAllocationofPopulation.pdf). The dasymetric population raster is derived from 2010 US Census Bureau census block populations using a geospatial technique called dasymetric mapping. Dasymetric mapping uses information on land cover and slope to distribute populations to grid pixels within each census block. Equation used: Human Population in RZ / (RZ Area - RZ Water Mask Area). (See also Riparian Zone and Water Mask glossary definitions).","EPA EnviroAtlas \"Dasymetric Population for the Conterminous United States\" grid (February 2015 version) and RZ Grid (August 2015 Version). HUC8 Version: NHDPlus2 WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[{"v":2.435,"d":"2.435000"},"Stressor","% Population in RZ","DASYMETRIC_POPULATION_PCT_RZ","Percent of human population residing in the Riparian Zone (RZ) of the HUC8. Source data used was the EPA EnviroAtlas 'Dasymetric Population for the Conterminous United States' raster (February 2015 version; https://enviroatlas.epa.gov/enviroatlas/DataFactSheets/pdf/Supplemental/DasymetricAllocationofPopulation.pdf). The dasymetric population raster is derived from 2010 US Census Bureau census block populations using a geospatial technique called dasymetric mapping. Dasymetric mapping uses information on land cover and slope to distribute populations to grid pixels within each census block. Equation used: Human Population in RZ / Human Population in HUC8 * 100. (See also Riparian Zone glossary definition).","EPA EnviroAtlas \"Dasymetric Population for the Conterminous United States\" grid (February 2015 version) and RZ Grid (August 2015 Version). HUC8 Version: NHDPlus2 WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[{"v":2.437,"d":"2.437000"},"Stressor","Housing Unit Density in WS","HU_DENS_2010_WS","Density of housing units in the HUC8 (housing units per square kilometer). A housing unit is defined as a house, apartment, mobile home or trailer, group of rooms, or single room that is intended for occupancy as separate living quarters. Source data was the EPA StreamCat 'Accumulated Attributes for NHDPlusV2 Catchments (Version 2.1) for the Conterminous United States: 2010 US Census Housing Unit and Population Density' dataset (ftp://newftp.epa.gov/EPADataCommons/ORD/NHDPlusLandscapeAttributes/StreamCat/HydroRegions/; downloaded March 2016). The StreamCat dataset reports housing unit density for NHDPlus2 catchments based on 2010 US Census housing unit densities for census block groups. Housing unity densities for NHDPlus2 catchments were aggregated to HUC8 values by calculating the area-weighted mean for catchments that intersect the HUC8. Additional information on the StreamCat housing density dataset can be found at: ftp://newftp.epa.gov/EPADataCommons/ORD/NHDPlusLandscapeAttributes/StreamCat/Documentation/Metadata/USCensus2010.html.","EPA StreamCat \"Accumulated Attributes for NHDPlusV2 Catchments (Version 2.1) for the Conterminous United States: 2010 US Census Housing Unit and Population Density\" dataset, 2015 version. HUC8 Version: NHDPlus2 WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[{"v":2.441,"d":"2.441000"},"Stressor","Dam Density in WS","DAM_DENSITY_PER_KM_STRM","Dam density in the HUC8 (dam count per stream kilometer). Source data for dam count was the 2012 National Anthropogenic Barrier Dataset (NABD; https://www.sciencebase.gov/catalog/item/537f6a7de4b021317a86e594; downloaded August 2013), a national geospatial dataset of dam locations and attributes. The 2012 NABD was created by editing the US Army Corps of Engineer's 2009 National Inventory of Dams (NID) to delete dams removed after the release of the 2009 NID and duplicate dams along state boundaries. Source data for stream length was the NHDPlus2 NHD Snapshot. Stream length includes the length of all linear NHD Snapshot features in the HUC8 with FTYPE (feature type) equal to StreamRiver, CanalDitch, or Connector; linear features with FTYPE equal to ArtificialPath are only included if they pass through a NHDArea feature with FTYPE equal to StreamRiver. Calculated by dividing the count of dams in the HUC8 by streamlength in the HUC8. (See also NHD Snapshot glossary definition).","2012 National Anthropognenic Barrier Dataset (downloaded August 2013). HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[{"v":2.442,"d":"2.442000"},"Stressor","Count of Dams in WS","DAM_CNT_WS","Count of dams in the HUC8. Source data was the 2012 National Anthropogenic Barrier Dataset (NABD; https://www.sciencebase.gov/catalog/item/537f6a7de4b021317a86e594; downloaded August 2013), a national geospatial dataset of dam locations and attributes. The 2012 NABD was created by editing the US Army Corps of Engineer's 2009 National Inventory of Dams (NID) to delete dams removed after the release of the 2009 NID and duplicate dams along state boundaries.","2012 National Anthropognenic Barrier Dataset (downloaded August 2013). HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[{"v":2.443,"d":"2.443000"},"Stressor","Dam Storage Volume in WS","DAM_STORAGE_ACFT","The storage volume of dams in the HUC8 (acre-feet). Source data was the 2012 National Anthropogenic Barrier Dataset (NABD; https://www.sciencebase.gov/catalog/item/537f6a7de4b021317a86e594; downloaded August 2013), a national geospatial dataset of dam locations and attributes. The NABD was created by editing the US Army Corps of Engineer's 2009 National Inventory of Dams (NID) to delete dams removed after the release of the 2009 NID and duplicate dams along state boundaries. Dam storage volume was calculated by summing the normal storage volume reported in the 2012 NABD for dams located in the HUC8. For dams with normal storage volume reported as zero acre-feet, the maximum storage volume was used instead. Blank values indicate that the HUC8 contains a dam but does not have dam storage volume reported in the NABD.","2012 National Anthropognenic Barrier Dataset (downloaded August 2013). HUC8 Version: NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[{"v":2.451,"d":"2.451000"},"Stressor","Domestic Water Demand in WS","DOM_H2O_USE_MGD_2005_WS","Daily domestic water use in the HUC8 (million gallons per day). Domestic water use includes indoor and outdoor household uses, such as drinking, bathing, cleaning, landscaping, and pools. Domestic water can include surface or groundwater that is self-supplied by households or publicly-supplied. Water used in a HUC8 may originate from within or outside the HUC8. Calculated by downscaling county water use estimates for 2005 reported by US Geological Survey ('Estimated Use of Water in the United States County-Level Data for 2005') using the 2006 National Land Cover Database (2006 NLCD) Land Cover dataset and 2010 US Census population estimates from the US Census Bureau. This indicator was calculated for EPA EnviroAtlas. Additional information on source data and calculation methods can be found at: https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7BC6DBEBAB-03EF-43C8-8DCA-8D2845E06A96%7D","EPA EnviroAtlas \"Domestic Water Demand by 12-Digit HUC for the Conterminous United States\" dataset. December 15, 2015 version."]
[{"v":2.452,"d":"2.452000"},"Stressor","Agricultural Water Demand in WS","AG_H2O_USE_05_WS","Daily agricultural water use in the HUC8 (million gallons per day). Agricultural water use includes surface and groundwater that is self-supplied by agricultural producers or supplied by water providers (governments, private companies, or other organizations). Water used in a HUC8 may originate from within or outside the HUC8. Calculated by downscaling county water use estimates for 2005 reported by US Geological Survey ('Estimated Use of Water in the United States County-Level Data for 2005') using the 2006 National Land Cover Database (2006 NLCD) Land Cover dataset, the 2010 Cropland Data Layer, and a custom geospatial dataset of irrigated area locations. Counties with zero reported water use were assigned a state-level average value to address issues with water use reporting. This indicator was calculated for EPA EnviroAtlas. Detailed information on source data and calculation methods can be found at: https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7BD5113083-CFCD-48EC-BC24-0ADA5B9BDDB7%7D","EPA EnviroAtlas \"Agricultural Water Demand by 12-Digit HUC for the Conterminous United States\" dataset. May 7, 2015 version."]
[{"v":2.453,"d":"2.453000"},"Stressor","Industrial Water Demand in WS","IND_H2O_USE_MGD_WS","Daily industrial water use in the HUC8 (million gallons per day). Industrial water use includes water used for chemical, food, paper, wood, and metal production. Only includes self-supplied surface water or groundwater by private wells or reservoirs. Industrial water supplied by public water utilities is not counted. Water used in a HUC8 may originate from within or outside the HUC8. Calculated by downscaling county water use estimates for 2005 reported by US Geological Survey ('Estimated Use of Water in the United States County-Level Data for 2005') using a geospatial dataset on the location of industrial facilities as of 2009/10. Water use by industrial facilities in counties that were reported to have zero industrial water use in the USGS dataset was estimated from values for nearby facilities. This indicator was calculated for EPA EnviroAtlas. Additional information on source data and calculation methods can be found at: https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B4E58C04B-8A17-4B07-9EE4-1D9365D5B0D9%7D","EPA EnviroAtlas \"Industrial Water Use by 12-Digit HUC for the Conterminous United States\" dataset. May 7, 2015 version."]
[{"v":2.454,"d":"2.454000"},"Stressor","Thermoelectric Water Demand in WS","H2O_USE_THERMO_MGD","Daily water use for thermoelectric power generation in the HUC8 (million gallons per day). Source data was the EPA 2009 Emission and Generation Resource Integrated Database (eGRID), a geospatial dataset of power plant locations and attributes. Water consumption was calculated for fossil fuel and nuclear power plants by multiplying the plant's annual net energy generation by a coefficient of water consumption, and water use estimates were summed for plants located in each HUC8. Thermoelectric water use estimates assume complete consumptive use of water and do not consider water reuse. This indicator was calculated for EPA EnviroAtlas. Additional information on source data and calculation methods can be found at: https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7BA15BD49A-0C75-4E64-902B-581D89F7B8AC%7D.","EPA EnviroAtlas \"Thermoelectric Water Use for the Conterminous United States\" dataset. May 7, 2015 version."]
[{"v":2.461,"d":"2.461000"},"Stressor","Manure Application in WS","MANURE_APP_WS","Average annual rate of nitrogen application to agricultural lands as animal manure in the HUC8 in 2006 (kilograms Nitrogen/hectare/year). Calculated by downscaling county-level estimates of recoverable manure application reported by the International Plant Nutrition Institute (IPNI) Nutrient Geographic Information System (NuGIS; http://www.ipni.net/nugis) using the 2006 National Land Cover Database (NLCD) Land Cover dataset. Recoverable manure is defined as manure that is collected, stored, and available for land application from livestock in confinement. County totals were evenly distributed to agricultural lands throughout the county, crop-specific differences were not considered. This indicator was calculated for EPA EnviroAtlas. Additional information on source data and calculation methods can be found at: https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B0A4E7DDE-5F54-4DB5-8688-6AB2B1C8AFE5%7D","EPA EnviroAtlas \"Manure Application to Agricultural Lands from Confined Animal Feeding Operations by 12-digit HUC for the Conterminous United States, 2006\" dataset. May 7, 2015 version."]
[{"v":2.462,"d":"2.462000"},"Stressor","Synthetic N Fertilizer Application in WS","N_SYNTH_FERT_APL_MEAN_WS","Average annual nitrogen application to agricultural lands as synthetic fertilizer in the HUC8 in 2006 (kilograms Nitrogen/hectare/year). Calculated by downscaling county-level fertilizer application estimates reported by US Geological Survey ('County-level Estimates of Nitrogen and Phosphorus from Commercial Fertilizer for the Conterminous United States, 1987-2006') using the 2006 National Land Cover Database (NLCD) Land Cover dataset. County totals were evenly distributed to agricultural lands throughout the county, crop-specific differences were not considered. This indicator was calculated for EPA EnviroAtlas. Additional information on source data and calculation methods can be found at: https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B09DF9B39-6CC8-4DFF-A14D-1BA14C06321F%7D","EPA EnviroAtlas \"Synthetic N Fertilizer Application to Agricultural Lands by 12-digit HUC in the Conterminous United States, 2006\". May 7, 2015 version."]
[2.4621,"Stressor","Agricultural Phosphorus Balance in WS","AG_P_BALANCE","Average annual Phosphorus (P) balance on croplands in the HUC8 (kilograms Phosphorus/hectare/year). The P balance is calculated as the difference between P inputs (inorganic fertilizer and confined manure) and P removal from crop harvest. The data are based on International Plant Nutrition Institute compilations of county-level fertilizer sales data, confined manure production, major crop harvest and P content of the crops, and cropland area from the USGS U.S. conterminous wall-to-wall anthropogenic land use trends (NWALT) 2012 land cover data. This indicator was calculated for EPA EnviroAtlas. Additional information on source data and calculation methods can be found at: https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B286fa7ac-e638-4d2e-870a-eda4cbdd6481%7D. (See also EnviroAtlas glossary definition).","EPA EnviroAtlas \"Agricultural phosphorus balance for 2012 by 12-digit HUC for the Conterminous United States\", October 2016 version."]
[2.4622,"Stressor","Inorganic P Fertilizer Application in WS","P_SYNTH_FERT_APL_MEAN_WS","Average annual rate of inorganic Phosphorus (P) fertilizer application on agricultural land in the HUC8 in 2012 (kilograms Phosphorus/hectare/year). Values are based on International Plant Nutrition Institute (IPNI) compilations of county and state fertilizer sales for 2012 and cropland area from the USGS U.S. conterminous wall-to-wall anthropogenic land use trends (NWALT) 2012 land cover data. This indicator was calculated for EPA EnviroAtlas. Additional information on source data and calculation methods can be found at: https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B35ba485f-b30f-4d03-a5bc-11a4f0025904%7D. (See also EnviroAtlas glossary definition).","EPA EnviroAtlas \"Agricultural phosphorus balance for 2012 by 12-digit HUC for the Conterminous United States\", October 2016 version."]
[2.4623,"Stressor","Manure P Application in WS","MANURE_APP_P_WS","Average annual rate of phosphorus application to agricultural lands as animal manure in the HUC8 in 2012 (kilograms Phosphorus/hectare/year). Calculated by downscaling county-level estimates of recoverable manure application reported by the International Plant Nutrition Institute (IPNI) Nutrient Geographic Information System (NuGIS; http://www.ipni.net/nugis) using the USGS U.S. conterminous wall-to-wall anthropogenic land use trends (NWALT) 2012 land cover data. Recoverable manure is defined as manure that is collected, stored, and available for land application from livestock in confinement. County totals were evenly distributed to agricultural lands throughout the county, crop-specific differences were not considered. This indicator was calculated for EPA EnviroAtlas. Additional information on source data and calculation methods can be found at: https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B1b54f913-4e36-482a-a670-69f19786a048%7D. (See also EnviroAtlas glossary definition).","EPA EnviroAtlas \"Agricultural phosphorus balance for 2012 by 12-digit HUC for the Conterminous United States\", October 2016 version."]
[2.4631,"Stressor","Total Nitrogen Deposition in WS (2011)","N_DEP_TOTAL_11_WS","Annual deposition of total nitrogen in the HUC8 in 2011 (kilograms per hectare). Includes both dry and wet deposition of total nitrogen. Source data was a 12-kilometer resolution grid of predicted 2011 nitrogen deposition from the Community Multiscale Air Quality modeling system (CMAQ) Version 5.0.2. This indicator was calculated for EPA EnviroAtlas. Additional information on source data and calculation methods can be found at: https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B284d232c-1067-453f-9e4a-3f16de42b1b4%7D","EPA EnviroAtlas \"Agricultural phosphorus balance for 2012 by 12-digit HUC for the Conterminous United States\", October 2016 version."]
[2.4632,"Stressor","Oxidized Nitrogen Wet Deposition in WS (2011)","N_OX_WETDEP_11_WS","Annual wet deposition of oxidized nitrogen in the HUC8 in 2011 (kilograms per hectare). Source data was a 12-kilometer resolution grid of predicted 2011 nitrogen deposition from the Community Multiscale Air Quality modeling system (CMAQ) Version 5.0.2. This indicator was calculated for EPA EnviroAtlas. Additional information on source data and calculation methods can be found at: https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B284d232c-1067-453f-9e4a-3f16de42b1b4%7D","EPA EnviroAtlas \"Atmospheric Nitrogen and Sulfur Deposition by 12-digit HUC for the Conterminous United States (2011)\". April 29, 2016 version."]
[2.4633,"Stressor","Oxidized Nitrogen Dry Deposition in WS (2011)","N_OX_DRYDEP_11_WS","Annual dry deposition of oxidized nitrogen in the HUC8 in 2011 (kilograms per hectare). Source data was a 12-kilometer resolution grid of predicted 2011 nitrogen deposition from the Community Multiscale Air Quality modeling system (CMAQ) Version 5.0.2. This indicator was calculated for EPA EnviroAtlas. Additional information on source data and calculation methods can be found at: https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B284d232c-1067-453f-9e4a-3f16de42b1b4%7D","EPA EnviroAtlas \"Atmospheric Nitrogen and Sulfur Deposition by 12-digit HUC for the Conterminous United States (2011)\". April 29, 2016 version."]
[2.4634,"Stressor","Oxidized Nitrogen Total Deposition in WS (2011)","N_OX_DEP_TOTAL_11_WS","Annual deposition of oxidized nitrogen in the HUC8 in 2011 (kilograms per hectare). Includes both dry and wet deposition of oxidized nitrogen. Source data was a 12-kilometer resolution grid of predicted 2011 nitrogen deposition from the Community Multiscale Air Quality modeling system (CMAQ) Version 5.0.2. This indicator was calculated for EPA EnviroAtlas. Additional information on source data and calculation methods can be found at: https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B284d232c-1067-453f-9e4a-3f16de42b1b4%7D","EPA EnviroAtlas \"Atmospheric Nitrogen and Sulfur Deposition by 12-digit HUC for the Conterminous United States (2011)\". April 29, 2016 version."]
[2.4635,"Stressor","Reduced Nitrogen Wet Deposition in WS (2011)","N_RED_WETDEP_11_WS","Annual wet deposition of reduced nitrogen in the HUC8 in 2011 (kilograms per hectare). Source data was a 12-kilometer resolution grid of predicted 2011 nitrogen deposition from the Community Multiscale Air Quality modeling system (CMAQ) Version 5.0.2. This indicator was calculated for EPA EnviroAtlas. Additional information on source data and calculation methods can be found at: https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B284d232c-1067-453f-9e4a-3f16de42b1b4%7D","EPA EnviroAtlas \"Atmospheric Nitrogen and Sulfur Deposition by 12-digit HUC for the Conterminous United States (2011)\". April 29, 2016 version."]
[2.4636,"Stressor","Reduced Nitrogen Dry Deposition in WS (2011)","N_RED_DRYDEP_11_WS","Annual dry deposition of reduced nitrogen in the HUC8 in 2011 (kilograms per hectare). Source data was a 12-kilometer resolution grid of predicted 2011 nitrogen deposition from the Community Multiscale Air Quality modeling system (CMAQ) Version 5.0.2. This indicator was calculated for EPA EnviroAtlas. Additional information on source data and calculation methods can be found at: https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B284d232c-1067-453f-9e4a-3f16de42b1b4%7D","EPA EnviroAtlas \"Atmospheric Nitrogen and Sulfur Deposition by 12-digit HUC for the Conterminous United States (2011)\". April 29, 2016 version."]
[2.4637,"Stressor","Reduced Nitrogen Total Deposition in WS (2011)","N_RED_DEP_TOTAL_11_WS","Annual deposition of reduced nitrogen in the HUC8 in 2011 (kilograms per hectare). Includes both dry and wet deposition of reduced nitrogen. Source data was a 12-kilometer resolution grid of predicted 2011 nitrogen deposition from the Community Multiscale Air Quality modeling system (CMAQ) Version 5.0.2. This indicator was calculated for EPA EnviroAtlas. Additional information on source data and calculation methods can be found at: https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B284d232c-1067-453f-9e4a-3f16de42b1b4%7D","EPA EnviroAtlas \"Atmospheric Nitrogen and Sulfur Deposition by 12-digit HUC for the Conterminous United States (2011)\". April 29, 2016 version."]
[2.4651,"Stressor","Beef Cattle Count in WS","BEEFCATTLE_CNT","Count of beef cattle in the HUC8. Estimated from county-level livestock information in the 2012 USDA Census of Agriculture (https://www.agcensus.usda.gov/). This indicator was calculated for the US EPA Spreadsheet Tool for Estimating Pollutant Load (STEPL) Input Data Server (October 2017 version), additional information can be found at: http://it.tetratech-ffx.com/steplweb/stepldatahelp.htm.","EPA Spreadsheet Tool for Estimating Pollutant Load (STEPL) Input Data Server (October 2017 version)."]
[2.46511,"Stressor","Livestock Density (AEU) in WS","ANIMAL_EQ_UNITS","Density of livestock in the HUC8, measured in animal equivalent units (1000 pounds of animal weight per acre). Calculated as the sum of the weight of farmed dairy cattle, beef cattle, swine, sheep, horse, chicken, turkey, and ducks, divided by 1000, divided by HUC8 area. Livestock weights in each HUC8 were estimated from animal counts and an assumed average weight for each animal type. Source data for livestock counts were county-level livestock information in the 2012 USDA Census of Agriculture. Source data for average animal weights was \"ASAE standards: Standards, engineering practice, and data\" (American Society of Agricultural Engineers, 1998). This indicator was calculated using livestock counts from the US EPA Spreadsheet Tool for Estimating Pollutant Load (STEPL) Input Data Server (October 2017 version), additional information can be found at: http://it.tetratech-ffx.com/steplweb/stepldatahelp.htm.","EPA Spreadsheet Tool for Estimating Pollutant Load (STEPL) Input Data Server (October 2017 version)."]
[2.4652,"Stressor","Dairy Cattle Count in WS","DAIRYCATTLE_CNT","Count of dairy cattle in the HUC8. Estimated from county-level livestock information in the 2012 USDA Census of Agriculture (https://www.agcensus.usda.gov/). This indicator was calculated for the US EPA Spreadsheet Tool for Estimating Pollutant Load (STEPL) Input Data Server (October 2017 version), additional information can be found at: http://it.tetratech-ffx.com/steplweb/stepldatahelp.htm.","EPA Spreadsheet Tool for Estimating Pollutant Load (STEPL) Input Data Server (October 2017 version)."]
[2.4653,"Stressor","All Cattle Count in WS","ALLCATTLE_CNT","Count of all cattle (dairy and beef) in the HUC8. Estimated from county-level livestock information in the 2012 USDA Census of Agriculture (https://www.agcensus.usda.gov/). This indicator was calculated for the US EPA Spreadsheet Tool for Estimating Pollutant Load (STEPL) Input Data Server (October 2017 version), additional information can be found at: http://it.tetratech-ffx.com/steplweb/stepldatahelp.htm.","EPA Spreadsheet Tool for Estimating Pollutant Load (STEPL) Input Data Server (October 2017 version)."]
[2.4654,"Stressor","Swine Count in WS","SWINE_CNT","Count of swine in the HUC8. Estimated from county-level livestock information in the 2012 USDA Census of Agriculture (https://www.agcensus.usda.gov/). This indicator was calculated for the US EPA Spreadsheet Tool for Estimating Pollutant Load (STEPL) Input Data Server (October 2017 version), additional information can be found at: http://it.tetratech-ffx.com/steplweb/stepldatahelp.htm.","EPA Spreadsheet Tool for Estimating Pollutant Load (STEPL) Input Data Server (October 2017 version)."]
[2.4655,"Stressor","Sheep Count in WS","SHEEP_CNT","Count of sheep in the HUC8. Estimated from county-level livestock information in the 2012 USDA Census of Agriculture (https://www.agcensus.usda.gov/). This indicator was calculated for the US EPA Spreadsheet Tool for Estimating Pollutant Load (STEPL) Input Data Server (October 2017 version), additional information can be found at: http://it.tetratech-ffx.com/steplweb/stepldatahelp.htm.","EPA Spreadsheet Tool for Estimating Pollutant Load (STEPL) Input Data Server (October 2017 version)."]
[2.4656,"Stressor","Horse Count in WS","HORSE_CNT","Count of horses in the HUC8. Estimated from county-level livestock information in the 2012 USDA Census of Agriculture (https://www.agcensus.usda.gov/). This indicator was calculated for the US EPA Spreadsheet Tool for Estimating Pollutant Load (STEPL) Input Data Server (October 2017 version), additional information can be found at: http://it.tetratech-ffx.com/steplweb/stepldatahelp.htm.","EPA Spreadsheet Tool for Estimating Pollutant Load (STEPL) Input Data Server (October 2017 version)."]
[2.4657,"Stressor","Chicken Count in WS","CHICKEN_CNT","Count of chickens in the HUC8. Estimated from county-level livestock information in the 2012 USDA Census of Agriculture (https://www.agcensus.usda.gov/). This indicator was calculated for the US EPA Spreadsheet Tool for Estimating Pollutant Load (STEPL) Input Data Server (October 2017 version), additional information can be found at: http://it.tetratech-ffx.com/steplweb/stepldatahelp.htm.","EPA Spreadsheet Tool for Estimating Pollutant Load (STEPL) Input Data Server (October 2017 version)."]
[2.4658,"Stressor","Turkey Count in WS","TURKEY_CNT","Count of farmed turkeys in the HUC8. Estimated from county-level livestock information in the 2012 USDA Census of Agriculture (https://www.agcensus.usda.gov/). This indicator was calculated for the US EPA Spreadsheet Tool for Estimating Pollutant Load (STEPL) Input Data Server (October 2017 version), additional information can be found at: http://it.tetratech-ffx.com/steplweb/stepldatahelp.htm.","EPA Spreadsheet Tool for Estimating Pollutant Load (STEPL) Input Data Server (October 2017 version)."]
[2.4659,"Stressor","Duck Count in WS","DUCK_CNT","Count of farmed ducks in the HUC8. Estimated from county-level livestock information in the 2012 USDA Census of Agriculture (https://www.agcensus.usda.gov/). This indicator was calculated for the US EPA Spreadsheet Tool for Estimating Pollutant Load (STEPL) Input Data Server (October 2017 version), additional information can be found at: http://it.tetratech-ffx.com/steplweb/stepldatahelp.htm.","EPA Spreadsheet Tool for Estimating Pollutant Load (STEPL) Input Data Server (October 2017 version)."]
[2.4661,"Stressor","Septic System Count in WS","SEPTIC_CNT","Count of septic systems in the HUC8. Source data were 1992 and 1998 septic system surveys completed by the National Small Flows Clearinghouse. This indicator was calculated for the US EPA Spreadsheet Tool for Estimating Pollutant Load (STEPL) Input Data Server (October 2017 version), additional information can be found at: http://it.tetratech-ffx.com/steplweb/stepldatahelp.htm.","EPA Spreadsheet Tool for Estimating Pollutant Load (STEPL) Input Data Server (October 2017 version)."]
[{"v":2.471,"d":"2.471000"},"Stressor","Density Toxic Release Inventory Sites in WS","TRI_DENS_2010_WS","Density of EPA Toxics Release Inventory (TRI) sites in the HUC8 (sites per square kilometer). The TRI stores information on facilities that handle toxic chemicals; including on-site or off-site land, air, or water disposal, recycling, energy recovery, or treatment. Source data was the EPA StreamCat 'Accumulated Attributes for NHDPlusV2 Catchments (Version 2.1) for the Conterminous United States: Facility Registry Services (FRS) : Toxic Release Inventory (TRI) , National Pollutant Discharge Elimination System (NPDES) , and Superfund Sites' dataset (ftp://newftp.epa.gov/EPADataCommons/ORD/NHDPlusLandscapeAttributes/StreamCat/HydroRegions/; downloaded March 2016). The StreamCat dataset reports TRI site density for NHDPlus2 catchments based on TRI site locations stored in the EPA Facility Registration System as of 2014. TRI site densities for NHDPlus2 catchments were aggregated to HUC8 values by calculating the area-weighted mean for catchments that intersect the HUC8. Additional information on the StreamCat TRI density dataset can be found at: ftp://newftp.epa.gov/EPADataCommons/ORD/NHDPlusLandscapeAttributes/StreamCat/Documentation/Metadata/EPA_FRS.html.","EPA StreamCat \"Accumulated Attributes for NHDPlusV2 Catchments (Version 2.1) for the Conterminous United States: Facility Registry Services (FRS) : Toxic Release Inventory (TRI) , National Pollutant Discharge Elimination System (NPDES) , and Superfund Sites\" dataset, 2015 version. HUC8 Version: NHDPlus2 WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[{"v":2.472,"d":"2.472000"},"Stressor","Density Superfund Sites in WS","SUPER_DENS_2010_WS","Density of EPA Superfund program sites in the HUC8 (sites per square kilometer). The Superfund program is responsible for cleaning up the nation's most contaminated land and responding to environmental emergencies, oil spills and natural disasters. Source data was the EPA StreamCat 'Accumulated Attributes for NHDPlusV2 Catchments (Version 2.1) for the Conterminous United States: Facility Registry Services (FRS) : Toxic Release Inventory (TRI) , National Pollutant Discharge Elimination System (NPDES) , and Superfund Sites' dataset (ftp://newftp.epa.gov/EPADataCommons/ORD/NHDPlusLandscapeAttributes/StreamCat/HydroRegions/; downloaded March 2016). The StreamCat dataset reports Superfund site density for NHDPlus2 catchments based on Superfund site locations stored in the EPA Facility Registration System as of 2014. Superfund site densities for NHDPlus2 catchments were aggregated to HUC8 values by calculating the area-weighted mean for catchments that intersect the HUC8. Additional information on the StreamCat Superfund density dataset can be found at: ftp://newftp.epa.gov/EPADataCommons/ORD/NHDPlusLandscapeAttributes/StreamCat/Documentation/Metadata/EPA_FRS.html.","EPA StreamCat \"Accumulated Attributes for NHDPlusV2 Catchments (Version 2.1) for the Conterminous United States: Facility Registry Services (FRS) : Toxic Release Inventory (TRI) , National Pollutant Discharge Elimination System (NPDES) , and Superfund Sites\" dataset, 2015 version. HUC8 Version: NHDPlus2 WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[2.4731,"Stressor","Sulfur Wet Deposition in WS (2011)","SLF_WETDEP_11_WS","Annual wet deposition of sulfur in the HUC8 in 2011 (kilograms per hectare). Source data was a 12-kilometer resolution grid of predicted 2011 nitrogen deposition from the Community Multiscale Air Quality modeling system (CMAQ) Version 5.0.2. This indicator was calculated for EPA EnviroAtlas. Additional information on source data and calculation methods can be found at: https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B284d232c-1067-453f-9e4a-3f16de42b1b4%7D","EPA EnviroAtlas \"Atmospheric Nitrogen and Sulfur Deposition by 12-digit HUC for the Conterminous United States (2011)\". April 29, 2016 version."]
[2.4732,"Stressor","Sulfur Dry Deposition in WS (2011)","SLF_DRYDEP_11_WS","Annual dry deposition of sulfur in the HUC8 in 2011 (kilograms per hectare). Source data was a 12-kilometer resolution grid of predicted 2011 nitrogen deposition from the Community Multiscale Air Quality modeling system (CMAQ) Version 5.0.2. This indicator was calculated for EPA EnviroAtlas. Additional information on source data and calculation methods can be found at: https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B284d232c-1067-453f-9e4a-3f16de42b1b4%7D","EPA EnviroAtlas \"Atmospheric Nitrogen and Sulfur Deposition by 12-digit HUC for the Conterminous United States (2011)\". April 29, 2016 version."]
[2.4733,"Stressor","Sulfur Total Deposition in WS (2011)","SLF_DEP_TOTAL_11_WS","Annual deposition of sulfur in the HUC8 in 2011 (kilograms per hectare). Includes both dry and wet deposition of reduced sulfur. Source data was a 12-kilometer resolution grid of predicted 2011 nitrogen deposition from the Community Multiscale Air Quality modeling system (CMAQ) Version 5.0.2. This indicator was calculated for EPA EnviroAtlas. Additional information on source data and calculation methods can be found at: https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B284d232c-1067-453f-9e4a-3f16de42b1b4%7D","EPA EnviroAtlas \"Atmospheric Nitrogen and Sulfur Deposition by 12-digit HUC for the Conterminous United States (2011)\". April 29, 2016 version."]
[{"v":2.481,"d":"2.481000"},"Stressor","Canal Density in WS","CANAL_DENS_2010_WS","Density of canals, ditches, and pipelines in the HUC8 (kilometer per square kilometer). Source data was the EPA StreamCat 'Accumulated Attributes for NHDPlusV2 Catchments (Version 2.1) for the Conterminous United States: Canal Density' dataset (ftp://newftp.epa.gov/EPADataCommons/ORD/NHDPlusLandscapeAttributes/StreamCat/HydroRegions/; downloaded March 2016). The StreamCat dataset reports canal, pipeline, and ditch density for NHDPlus2 catchments based on the location of surface water features in the NHDPlus2 NHD Snapshot classified as canals, ditches, or pipelines. Canal, pipeline, and ditch densities for NHDPlus2 catchments were aggregated to HUC8 values by calculating the area-weighted mean for catchments that intersect the HUC8. Additional information on the StreamCat canal, ditch, and pipeline density dataset can be found at: ftp://newftp.epa.gov/EPADataCommons/ORD/NHDPlusLandscapeAttributes/StreamCat/Documentation/Metadata/CanalDensity.html. (See also NHD Snapshot glossary definition).","EPA StreamCat \"Accumulated Attributes for NHDPlusV2 Catchments (Version 2.1) for the Conterminous United States: Canal Density\" dataset, 2015 version. HUC8 Version: NHDPlus2 WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[{"v":2.4821,"d":"2.482100"},"Stressor","% Tile Drained Area in WS","TILE_DRAINAGE_WS_PCT","Percent of the HUC8 that is drained by subsurface tile drainage. Tile drainage is a method of removing water from the subsurface of agricultural fields. Source data was the USGS 'Attributes for NHDPlus Catchments (Version 1.1) in the Conterminous United States: Artificial Drainage (1992) and Irrigation Types (1997)' dataset (2010 version; http://water.usgs.gov/GIS/metadata/usgswrd/XML/nhd_adrain.xml#stdorder). The USGS dataset reports the tile drained area for each catchment in the NHDPlus Version 1.1 dataset based on artificial drainage information in the US Department of Agriculture 1992 National Resources Inventory. Tile drained areas for catchments were aggregated to HUC8 values by calculating the area-weighted sum for catchments that intersect each HUC8. Equation used: Tile Drained Area in HUC8 / HUC8 Area * 100.","USGS \"Attributes for NHDPlus Catchments (Version 1.1) in the Conterminous United States: Artificial Drainage (1992) and Irrigation Types (1997)\" dataset, 2010 version. HUC8 Version: NHDPlus2 WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[{"v":2.4831,"d":"2.483100"},"Stressor","% Ditch Drained Area in WS","DITCH_DRAINAGE_WS_PCT","Percent of the HUC8 that is drained by artificial surface ditches. Surface ditches collect and convey water from the surface of agricultural fields.  Source data was the USGS 'Attributes for NHDPlus Catchments (Version 1.1) in the Conterminous United States: Artificial Drainage (1992) and Irrigation Types (1997)' dataset (2010 version; http://water.usgs.gov/GIS/metadata/usgswrd/XML/nhd_adrain.xml#stdorder). The USGS dataset reports the ditch drained area for each catchment in the NHDPlus Version 1.1 dataset based on artificial drainage information in the US Department of Agriculture 1992 National Resources Inventory. Ditch drained areas for catchments were aggregated to HUC8 values by calculating the area-weighted sum for catchments that intersect each HUC8. Equation used: Ditch Drained Area in HUC8 / HUC8 Area * 100.","USGS \"Attributes for NHDPlus Catchments (Version 1.1) in the Conterminous United States: Artificial Drainage (1992) and Irrigation Types (1997)\" dataset, 2010 version. HUC8 Version: NHDPlus2 WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[{"v":2.4841,"d":"2.484100"},"Stressor","% Tile or Ditch Drained in WS","TOT_DRAINAGE_WS_PCT","Percent of the HUC8 that is drained by artificial surface ditches or subsurface tile drainage. Tile drainage is a method of removing water from the subsurface of agricultural fields; surface ditches collect and convey water from the surface of agricultural fields.  Source data was the USGS 'Attributes for NHDPlus Catchments (Version 1.1) in the Conterminous United States: Artificial Drainage (1992) and Irrigation Types (1997)' dataset (2010 version; http://water.usgs.gov/GIS/metadata/usgswrd/XML/nhd_adrain.xml#stdorder). The USGS dataset reports the tile and ditch drained area for each catchment in the NHDPlus Version 1.1 dataset based on artificial drainage information in the US Department of Agriculture 1992 National Resources Inventory. Artificially drained areas for catchments were aggregated to HUC8 values by calculating the area-weighted sum for catchments that intersect each HUC8. Equation used: Artificially Drained Area in HUC8 / HUC8 Area * 100.","USGS \"Attributes for NHDPlus Catchments (Version 1.1) in the Conterminous United States: Artificial Drainage (1992) and Irrigation Types (1997)\" dataset, 2010 version. HUC8 Version: NHDPlus2 WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[{"v":2.491,"d":"2.491000"},"Stressor","Wildfire Hazard Potential, Mean in WS (2018)","MEAN_WILDFIRE_RISK_2018","The mean wildfire hazard potential in the HUC8. Wildfire hazard potential ranges from 1 (very low risk of wildfire) to 5 (very high risk of wildfire) and depict the relative potential for the occurrence of wildfire that would be difficult for suppression resources to contain. Calculated from the 2018 USDA Forest Service Wildfire Hazard Potential geospatial grid dataset. Calculated as the average of wildfire hazard potential for grid pixels in the HUC8. Areas not assigned a Wildfire Hazard Potential value (non-burnable lands and water) were excluded from the mean calculation.","USDA \"Wildfire Hazard Potential (WHP) for the conterminous United States\" grid, 2018 version."]
[2.4911,"Stressor","% High or Very High Wildfire Hazard Potential WS (2018)","HVH_WILDFIRE_RISK_PCT_2018","Percent of the HUC8 with high or very high wildfire hazard potential. Wildfire hazard potential ranges from 1 (very low risk of wildfire) to 5 (very high risk of wildfire) and depict the relative potential for the occurrence of wildfire that would be difficult for suppression resources to contain. Calculated from the 2018 USDA Forest Service Wildfire Hazard Potential geospatial grid dataset. Equation Used: Area of High or Very High Wildfire Hazard Potential / HUC8 Area * 100.","USDA \"Wildfire Hazard Potential (WHP) for the conterminous United States\" grid, 2018 version."]
[{"v":2.492,"d":"2.492000"},"Stressor","Unpollinated Area in WS","UNPOLLINATED_AREA_WS","Crop acres in the HUC8 without nearby pollinator habitat. Pollinator habitat is defined as trees (fruit, nut, deciduous, and evergreen); crops are only those that benefit from or require pollinators in order to produce or improve crop production. Crops located more than 2.8 kilometers away from pollinator habitat were classified as not having nearby pollinator habitat. Source data was a custom land cover dataset that combined the 2006 National Land Cover Database (NLCD 2006) and the 2010 USDA Cropland Data Layer (CDL). This indicator was calculated for EPA EnviroAtlas. Detailed information on source data and calculation methods can be found at: https://edg.epa.gov/metadata/rest/document?id=%7BF8858B62-0EA9-4F07-83C3-AAA0517D0925%7D","EPA EnviroAtlas \"Acres of crops that have no nearby pollinator habitat for the Conterminous United States\" dataset. May 7, 2015 version."]
[{"v":2.99,"d":"2.990000"},"Stressor","Neutral Variable, Stressor Category","NEUTRAL_STR","Equal to 0.5 for all HUC8s. Can be used for an analysis that focuses on just the Ecological and Social indicator categories, with the Stressor category left out. If using this indicator do not select any other Stressor indicators.","Not applicable."]
[3.111,"Social","% of HUC8 Instate","INST2013_PCT","Percent of total HUC8 area that is comprised by a specific named state. Source data was the US Census Bureau 2013 TIGER state boundary dataset from http://www2.census.gov/geo/tiger/TIGER2013/STATE/ downloaded in July 2013. Equation used: Instate Area / HUC8 Area * 100.","US Census Bureau TIGER state boundary polygons (2013 version). HUC8 Version: NHDPlus2 WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[3.112,"Social","Single State in HUC8 Flag","INSTATE_2013","Flag indicating whether the HUC8 is located entirely within a single state. A value of 1 means that the HUC8 is located in one state and a value of 0 means that the HUC8 crosses multiple states. Source data was the US Census Bureau 2013 TIGER state boundary dataset (http://www2.census.gov/geo/tiger/TIGER2013/STATE/; downloaded July 2013).","US Census Bureau TIGER state boundary polygons (2013 version). HUC8 Version: NHDPlus2 WBD Snapshot, EnviroAtlas Version (February 2015 version)."]
[3.211,"Social","% Protected Land, All Types (2019)","PADUS_ALL_PCT_WS_2019","Percent of the HUC8 that is designated as protected by the Protected Areas Database of the United States Version 2.0. Source data was the Protected Areas Database of the United States Version 2.0 (March 2019 update) from the USGS Gap Analysis Program (http://gapanalysis.usgs.gov/); all feature class types were included in the analysis (\"FeatClass\" = designation, easement, fee, marine, or proclamation). All protected lands polygons within the database were used for the calculation. Equation used: PADS Protected Land Area / HUC8 Area * 100.","Protected Areas Database of the United States (PAD-US) 2.0. March 2019 Version."]
[3.2112,"Social","% Protected Land, IUCN Status Ia (2019)","IUCN_IA_PCT_WS_2019","Percent of the HUC8 that is designated as an International Union for Conservation of Nature (IUCN) Category Ia protected area. Category Ia lands are nature reserves set aside to protect biodiversity and also possibly geological/geomorphologic features, where human visitation, use, and impacts are strictly controlled and limited to ensure preservation of the conservation values. Source data was the Protected Areas Database of the United States Version 2.0 (March 2019 update) from the USGS Gap Analysis Program (http://gapanalysis.usgs.gov/); all feature class types were included in the analysis (\"FeatClass\" = designation, easement, fee, marine, or proclamation). Equation used: IUCN Category Ia Protected Land Area / HUC8 Area * 100.","Protected Areas Database of the United States (PAD-US) 2.0. March 2019 Version."]
[3.2113,"Social","% Protected Land, IUCN Status II (2019)","IUCN_II_PCT_WS_2019","Percent of the HUC8 that is designated as an International Union for Conservation of Nature (IUCN) Category II protected area. Category II lands are large natural or near natural national park areas set aside to protect large-scale ecological processes, along with the complement of species and ecosystems characteristic of the area, which also provide a foundation for environmentally and culturally compatible spiritual, scientific, educational, recreational and visitor opportunities. Source data was the Protected Areas Database of the United States Version 2.0 (March 2019 update) from the USGS Gap Analysis Program (http://gapanalysis.usgs.gov/); all feature class types were included in the analysis (\"FeatClass\" = designation, easement, fee, marine, or proclamation). Equation used: IUCN Category II Protected Land Area / HUC8 Area * 100.","Protected Areas Database of the United States (PAD-US) 2.0. March 2019 Version."]
[3.2114,"Social","% Protected Land, IUCN Status III (2019)","IUCN_III_PCT_WS_2019","Percent of the HUC8 that is designated as an International Union for Conservation of Nature (IUCN) Category III protected area. Category III lands are set aside to protect a specific natural monument, which can be a land form, sea mount, submarine caverns, geological feature such as caves or even a living feature such as an ancient grove. They are generally quite small protected areas and often have high visitor value. Source data was the Protected Areas Database of the United States Version 2.0 (March 2019 update) from the USGS Gap Analysis Program (http://gapanalysis.usgs.gov/); all feature class types were included in the analysis (\"FeatClass\" = designation, easement, fee, marine, or proclamation). Equation used: IUCN Category III Protected Land Area / HUC8 Area * 100.","Protected Areas Database of the United States (PAD-US) 2.0. March 2019 Version."]
[3.2115,"Social","% Protected Land, IUCN Status IV (2019)","IUCN_IV_PCT_WS_2019","Percent of the HUC8 that is designated as an International Union for Conservation of Nature (IUCN) Category IV protected area. Category IV lands set aside to protect particular species or habitats and management reflects this priority. Many category IV protected areas will need regular, active interventions to address the requirements of particular species or to maintain habitats, but this is not a requirement of this category. Source data was the Protected Areas Database of the United States Version 2.0 (March 2019 update) from the USGS Gap Analysis Program (http://gapanalysis.usgs.gov/); all feature class types were included in the analysis (\"FeatClass\" = designation, easement, fee, marine, or proclamation). Equation used: IUCN Category IV Protected Land Area / HUC8 Area * 100.","Protected Areas Database of the United States (PAD-US) 2.0. March 2019 Version."]
[3.2116,"Social","% Protected Land, IUCN Status V (2019)","IUCN_V_PCT_WS_2019","Percent of the HUC8 that is designated as an International Union for Conservation of Nature (IUCN) Category V protected area. Category V lands occur where the interaction of people and nature over time has produced an area of distinct character with significant ecological, biological, cultural and scenic value. Source data was the Protected Areas Database of the United States Version 2.0 (March 2019 update) from the USGS Gap Analysis Program (http://gapanalysis.usgs.gov/); all feature class types were included in the analysis (\"FeatClass\" = designation, easement, fee, marine, or proclamation). Equation used: IUCN Category V Protected Land Area / HUC8 Area * 100.","Protected Areas Database of the United States (PAD-US) 2.0. March 2019 Version."]
[3.2117,"Social","% Protected Land, IUCN Status VI (2019)","IUCN_VI_PCT_WS_2019","Percent of the HUC8 that is designated as an International Union for Conservation of Nature (IUCN) Category VI protected area. Category VI lands have sustainable use (community based, non industrial) of natural resources, with much of the area in a more-or-less natural condition and a proportion of land under sustainable natural resource management. Source data was the Protected Areas Database of the United States Version 2.0 (March 2019 update) from the USGS Gap Analysis Program (http://gapanalysis.usgs.gov/); all feature class types were included in the analysis (\"FeatClass\" = designation, easement, fee, marine, or proclamation). Equation used: IUCN Category VI Protected Land Area / HUC8 Area * 100.","Protected Areas Database of the United States (PAD-US) 2.0. March 2019 Version."]
[3.2118,"Social","% Protected Land, IUCN Status Ib (2019)","IUCN_IB_PCT_WS_2019","Percent of the HUC8 that is designated as an International Union for Conservation of Nature (IUCN) Category Ib protected area. Category Ib lands are wilderness areas that are usually large unmodified or slightly modified areas, retaining their natural character and influence, without permanent or significant human habitation, which are protected and managed so as to preserve their natural condition. Source data was the Protected Areas Database of the United States Version 2.0 (March 2019 update) from the USGS Gap Analysis Program (http://gapanalysis.usgs.gov/); all feature class types were included in the analysis (\"FeatClass\" = designation, easement, fee, marine, or proclamation). Equation used: IUCN Category Ib Protected Land Area / HUC8 Area * 100.","Protected Areas Database of the United States (PAD-US) 2.0. March 2019 Version."]
[3.221,"Social","% Protected Land, USGS GAP, Resource Extraction Not Permitted","GAP_PROT_1_2_PCT_WS_2019","Percent of the HUC8 designated as having Status 1 or Status 2 protection by the USGS Gap Analysis Program. Status 1 lands are defined as having permanent protection from conversion of natural land cover and a mandated management plan in operation to maintain a natural state within which disturbance events (of natural type, frequency, intensity, and legacy) are allowed to proceed without interference or are mimicked through management. Status 2 lands are defined as having permanent protection from conversion of natural land cover and a mandated management plan in operation to maintain a primarily natural state, but which may receive uses or management practices that degrade the quality of existing natural communities, including suppression of natural disturbance. These include lands held by national, state, or local governments or non-profit organizations, as well as voluntarily protected private lands. Source data was the Protected Areas Database of the United States Version 2.0 (March 2019 update) from the USGS Gap Analysis Program (http://gapanalysis.usgs.gov/); all feature class types were included in the analysis (\"FeatClass\" = designation, easement, fee, marine, or proclamation). Equation used: (Status 1 Area + Status 2 Area) / HUC8 Area * 100.","Protected Areas Database of the United States (PAD-US) 2.0. March 2019 Version."]
[3.222,"Social","% Protected Land, USGS GAP, Resource Extraction Permitted","GAP_PROT_3_PCT_WS_2019","Percent of the HUC8 that is designated as having Status 3 protection by the USGS Gap Analysis Program. Status 3 lands are defined as having permanent protection from conversion of natural land cover for the majority of the area but are subject to extractive uses of either a broad, low-intensity type (e.g., logging) or localized intense type (e.g., mining). It also confers protection to federally listed endangered and threatened species throughout the area. These include lands held by national, state, or local governments or non-profit organizations, as well as voluntarily protected private lands. Source data was the Protected Areas Database of the United States Version 2.0 (March 2019 update) from the USGS Gap Analysis Program (http://gapanalysis.usgs.gov/); all feature class types were included in the analysis (\"FeatClass\" = designation, easement, fee, marine, or proclamation). Equation used: Status 3 Area / HUC8 Area * 100.","Protected Areas Database of the United States (PAD-US) 2.0. March 2019 Version."]
[3.299,"Social","USDA Conservation Reserve Program Area in WS ","USDA_CRP_AREA","The area of land enrolled in the US Department of Agriculture (USDA) Conservation Reserve Program (CRP) in the HUC8. Under the USDA CRP, landowners enroll environmentally sensitive land to discontinue crop production and instead plant perennial species that provide environmental benefits. Values reflect categorical ranges of enrolled acres in the HUC8: 1= 0 acres; 2= <50 acres; 3= 50-100 acres; 4= 100-200 acres; 5= 200-500 acres; 6= 500-1000 acres; 7= >1000 acres. Source data were USDA Farm Service Agency of Conservation Reserve Program enrollment boundaries from circa-January 2016. This indicator was calculated for EPA EnviroAtlas. Additional information on source data and calculation methods can be found at: https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B7c1090d3-619f-40f7-bb01-054173ddbaef%7D","EPA Enviroatlas \"Acres of USDA Farm Service Agency Conservation Reserve Program land by 12-Digit HUC for the Conterminous United States\" dataset. October 20, 2016 version."]
[3.2991,"Social","% Conservation Easement in WS","CONS_EASEMENT_PCT_WS","Percent of the HUC8 that is protected by a conservation easement. Source data was the National Conservation Easement Database (September 2018 version; https://www.conservationeasement.us/). All easement polygons within the database were used for the calculation. Calculated as conservation easement area divided by HUC8 area, multiplied by 100. ","National Conservation Easement Database. September 2018 version."]
[3.2994,"Social","National Wild and Scenic Rivers, Presence/Absence in WS","WILD_SCENIC_NATIONAL_FLAG","Presence/absence of waters designated as National Wild and Scenic Rivers in the HUC8. A value of 1 indicates that the HUC8 contains a National Wild and Scenic river. A threshold of 0.25 river miles was used as a cutoff value for defining presence/absence. Source data was the National Wild and Scenic River Segments map layer maintained by the US Forest Service, National Park Service, Bureau of Land Management and the Fish and Wildlife Service (October 2019 version; https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.WildScenicRiverSegment_LN.xml). ","National Wild and Scenic River Lines dataset. October 2019 version."]
[3.3111,"Social","% Drinking Water Source Protection Area, Surface","DW17_SPA_SW_PCTAREA_WS","Percent of the HUC8 that is classified as a source water protection area (SPA) for public water system (PWS) drinking water sources. Only includes SPAs for surface water sources of drinking water. Source data was a SPA geospatial dataset from the EPA Safe Drinking Water Information System (SDWIS; January 2018 version). Equation used: SPA Area in HUC8 / HUC8 Area * 100.","SPA geospatial dataset from the EPA Safe Drinking Water Information System (SDWIS; January 2018 version)."]
[3.3121,"Social","% Drinking Water Source Protection Area, Ground","DW17_SPA_GW_PCTAREA_WS","Percent of the HUC8 that is classified as a source water protection area (SPA) for public water system (PWS) drinking water sources. Only includes SPAs for groundwater sources of drinking water. Source data was a SPA geospatial dataset from the EPA Safe Drinking Water Information System (SDWIS; January 2018 version). Equation used: SPA Area in HUC8 / HUC8 Area * 100.","SPA geospatial dataset from the EPA Safe Drinking Water Information System (SDWIS; January 2018 version)."]
[3.3131,"Social","Drinking Water Surface Intake Count","DW17_SW_COUNT_WS","Count of drinking water surface intakes in the HUC8. Only includes public water system (PWS) surface intakes that are located in the HUC8. Source data was a groundwater well geospatial dataset from the EPA Safe Drinking Water Information System (SDWIS; January 2018 version).","SPA geospatial dataset from the EPA Safe Drinking Water Information System (SDWIS; January 2018 version)."]
[3.3132,"Social","Drinking Water Groundwater Intake Count","DW17_GW_COUNT_WS","Count of drinking water groundwater wells in the HUC8. Only includes public water system (PWS) groundwater wells that are located in the HUC8. Source data was a groundwater well geospatial dataset from the EPA Safe Drinking Water Information System (SDWIS; January 2018 version).","SPA geospatial dataset from the EPA Safe Drinking Water Information System (SDWIS; January 2018 version)."]
[3.411,"Social","% Potentially Restorable Wetlands","WTLD_REST_POT_PCT_WS","Percent of the HUC8 that is classified as a potentially restorable wetland. Potentially restorable wetlands are lands with agricultural cover that naturally accumulate water and historically had poor drainage and hydric soils. Source data for mapping potentially restorable wetlands were the National Land Cover Database (NLCD) 2006 Land Cover dataset, the National Elevation Dataset (NED), and the Natural Resources Conservation Service (NRCS) 2009 SSURGO and STATSGO soil attributes datasets. Potentially restorable wetlands were mapped as areas with: (1) pasture/hay or cultivated crop cover in NLCD 2006 (classes 81 & 82); (2) a compound topographic index (CTI) greater than 550 calculated from the NED; and (3) areas with poorly drained or very poorly drained soils from the SSURGO/STATSGO datasets. Equation used: Area of Potentially Restorable Wetlands in HUC8 / HUC8 Land Area * 100. This indicator was calculated for EPA EnviroAtlas. Additional information on source data and calculation methods can be found at: https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B80AFCF1D-0C2B-4E4A-B07A-B2B57E6772D5%7D.","EPA EnviroAtlas \"Percent Land Cover with Potentially Restorable Wetlands on Agricultural Land per 12-Digit HUC - Contiguous United States\" dataset. May 20, 2016 version."]
[3.551,"Social","303d Vision Priority Flag","VISION_FLAG_FY17","Presence of a priority area for water quality restoration or protection within the HUC8. Priority areas for water quality restoration and protection are identified by states under the Clean Water Act 303d Vision (https://www.epa.gov/tmdl/impaired-waters-and-tmdls-new-vision-cwa-303d-program-updated-framework-implementing-cwa-303d). Source data was the US EPA Office of Water database of state priority areas indexed to NHDPlus2 catchments (end of Federal Fiscal Year 2017 version; accessed March 29, 2018).","EPA Office of Water database of state priority areas indexed to NHDPlus2 catchments (end of Federal Fiscal Year 2017 version; accessed March 29, 2018)."]
[3.611,"Social","% Small Natural Areas in WS","NAT_SM_AREA_PCT_WS","Percent of the HUC8 that is classified as a small natural area. Small natural areas are contiguous patches of natural land cover that are less than 500 acres. Source data for mapping natural land cover was a custom land cover dataset that combined the 2006 National Land Cover Database (NLCD 2006) and the 2010 USDA Cropland Data Layer (CDL). Natural land cover included the following land cover types: Open Water (codes 83, 111), Perennial Ice/Snow (code 112), Barren Land (Rock/Sand/Clay) (code 131), Forest (codes 63, 141, 142, 143), Shrub/Scrub (codes 151, 152), Grassland/Herbaceous (code 171), and Wetlands (codes 87, 190, 195). Equation used: Small Natural Area / HUC8 Area * 100. This indicator was calculated for EPA EnviroAtlas. Additional information on source data and calculation methods can be found at: https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7BB803EDB7-3BE0-4ADF-870C-2EB9733310AE%7D","EPA EnviroAtlas \"Percent Large, Medium, and Small Natural Areas for the Conterminous United States\" dataset. May 7, 2015 version."]
[3.612,"Social","% Medium Natural Areas in WS","NAT_MD_AREA_PCT_WS","Percent of the HUC8 that is classified as a medium natural area. Medium natural areas are contiguous patches of natural land cover that are 500 to 25,000 acres. Source data for mapping natural land cover was a custom land cover dataset that combined the 2006 National Land Cover Database (NLCD 2006) and the 2010 USDA Cropland Data Layer (CDL). Natural land cover included the following land cover types: Open Water (codes 83, 111), Perennial Ice/Snow (code 112), Barren Land (Rock/Sand/Clay) (code 131), Forest (codes 63, 141, 142, 143), Shrub/Scrub (codes 151, 152), Grassland/Herbaceous (code 171), and Wetlands (codes 87, 190, 195). Equation used: Medium Natural Area / HUC8 Area * 100. This indicator was calculated for EPA EnviroAtlas. Additional information on source data and calculation methods can be found at: https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7BB803EDB7-3BE0-4ADF-870C-2EB9733310AE%7D","EPA EnviroAtlas \"Percent Large, Medium, and Small Natural Areas for the Conterminous United States\" dataset. May 7, 2015 version."]
[3.613,"Social","% Large Natural Areas in WS","NAT_LG_AREA_PCT_WS","Percent of the HUC8 that is classified as a large natural area. Large natural areas are contiguous patches of natural land cover that greater than 25,000 acres. Source data for mapping natural land cover was a custom land cover dataset that combined the 2006 National Land Cover Database (NLCD 2006) and the 2010 USDA Cropland Data Layer (CDL). Natural land cover included the following land cover types: Open Water (codes 83, 111), Perennial Ice/Snow (code 112), Barren Land (Rock/Sand/Clay) (code 131), Forest (codes 63, 141, 142, 143), Shrub/Scrub (codes 151, 152), Grassland/Herbaceous (code 171), and Wetlands (codes 87, 190, 195). Equation used: Large Natural Area / HUC8 Area * 100. This indicator was calculated for EPA EnviroAtlas. Additional information on source data and calculation methods can be found at: https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7BB803EDB7-3BE0-4ADF-870C-2EB9733310AE%7D","EPA EnviroAtlas \"Percent Large, Medium, and Small Natural Areas for the Conterminous United States\" dataset. May 7, 2015 version."]
[3.621,"Social","Freshwater Fishing Demand in WS ","FISHING_REC_DMD","The demand for recreational freshwater fishing in the HUC8 (number of fishing day trips per year). Source data were 2011 U.S. Fish and Wildlife Service Fish, Hunting, and Wildlife-Associated Recreation (FHWAR) survey data, 2011 U.S. Department of Agriculture (USDA) Forest Service National Visitor Use Monitoring program data, and 2010 population data from the U.S. Census Bureau. This indicator was calculated for EPA EnviroAtlas. Additional information on source data and calculation methods can be found at: https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B28db3b57-618c-4257-bb4a-4946e9c1e8c4%7D","EPA Enviroatlas \"Freshwater Fishing Recreation Demand by 12-Digit HUC in the Conterminous United States\" dataset. June 13, 2016 version."]
[3.711,"Social","Nonpoint Control Projects Count","NPS_319_PROJECTS_COUNT","Count of nonpoint source pollution control projects funded by Clean Water Act Section 319 grants located in the HUC8. Source data was the EPA Grants Reporting and Tracking System (GRTS; https://iaspub.epa.gov/apex/waters/f?p=110:199; accessed June 2018). GRTS is the primary tool for tracking Section 319 funded projects by EPA’s Nonpoint Source (NPS) Pollution Control Program. A query of the GRTS database was performed in June 2018 to quantify the number of NPS projects per HUC8. Counts include projects entered into GRTS between January 2002 through June 2018 that are ongoing or completed and that have a HUC8 ID for the project stored in GRTS. ","Query of NPS projects by HUC8 from EPA Grants Reporting and Tracking System (GRTS) completed in June 2018."]
[3.712,"Social","Nonpoint Control Projects Presence","NPS_319_PROJECTS_FLAG","Presence or absence of nonpoint source pollution control projects funded by Clean Water Act Section 319 grants in the HUC8. Source data was the EPA Grants Reporting and Tracking System (GRTS; https://iaspub.epa.gov/apex/waters/f?p=110:199; accessed June 2018). GRTS is the primary tool for tracking Section 319 funded projects by EPA’s Nonpoint Source (NPS) Pollution Control Program. A query of the GRTS database was performed in June 2018 to identify HUC8s with NPS projects. Includes projects entered into GRTS between January 2002 through June 2018 that are ongoing or completed with a HUC8 ID for the project stored in GRTS.","Query of NPS projects by HUC8 from EPA Grants Reporting and Tracking System (GRTS) completed in June 2018"]
[3.713,"Social","Sediment Nonpoint Control Projects Presence","NPS_319_PROJECTS_SEDMT_FLAG","Presence or absence of sediment-related nonpoint source pollution control projects funded by Clean Water Act Section 319 grants in the HUC8. Source data was the EPA Grants Reporting and Tracking System (GRTS; https://iaspub.epa.gov/apex/waters/f?p=110:199; accessed June 2018). GRTS is the primary tool for tracking Section 319 funded projects by EPA’s Nonpoint Source (NPS) Pollution Control Program. A query of the GRTS database was performed in June 2018 to identify HUC8s with sediment-related NPS projects. Sediment-related projects are those projects focused directly on sediment (e.g., turbidity) or pollutant issues causing sediment pollution (e.g., habitat alterations). Includes projects entered into GRTS between January 2002 through June 2018 that are ongoing or completed with a HUC8 ID for the project stored in GRTS.","Query of NPS projects by HUC8 from EPA Grants Reporting and Tracking System (GRTS) completed in June 2018."]
[3.714,"Social","Metals Nonpoint Control Projects Presence","NPS_319_PROJECTS_METL_FLAG","Presence or absence of metals-related nonpoint source pollution control projects funded by Clean Water Act Section 319 grants in the HUC8. Source data was the EPA Grants Reporting and Tracking System (GRTS; https://iaspub.epa.gov/apex/waters/f?p=110:199; accessed June 2018). GRTS is the primary tool for tracking Section 319 funded projects by EPA’s Nonpoint Source (NPS) Pollution Control Program. A query of the GRTS database was performed in June 2018 to identify HUC8s with metals-related NPS projects. Metals-related projects are those projects focused directly on metals (e.g., mercury) or pollutant issues caused by metal pollution (e.g., pH). Includes projects entered into GRTS between January 2002 through June 2018 that are ongoing or completed with a HUC8 ID for the project stored in GRTS.","Query of NPS projects by HUC8 from EPA Grants Reporting and Tracking System (GRTS) completed in June 2018."]
[3.715,"Social","Pathogens Nonpoint Control Projects Presence","NPS_319_PROJECTS_PATHG_FLAG","Presence or absence of pathogen-related nonpoint source pollution control projects funded by Clean Water Act Section 319 grants in the HUC8. Source data was the EPA Grants Reporting and Tracking System (GRTS; https://iaspub.epa.gov/apex/waters/f?p=110:199; accessed June 2018). GRTS is the primary tool for tracking Section 319 funded projects by EPA’s Nonpoint Source (NPS) Pollution Control Program. A query of the GRTS database was performed in June 2018 to identify HUC8s with pathogen-related NPS projects. Pathogen-related projects are those projects focused directly on pathogens (e.g., fecal coliform) or pollutant issues caused by pathogen pollution (e.g., biological oxygen demand).  Includes projects entered into GRTS between January 2002 through June 2018 that are ongoing or completed with a HUC8 ID for the project stored in GRTS.","Query of NPS projects by HUC8 from EPA Grants Reporting and Tracking System (GRTS) completed in June 2018."]
[3.716,"Social","Nutrients Nonpoint Control Projects Presence","NPS_319_PROJECTS_NP_FLAG","Presence or absence of nutrient-related nonpoint source pollution control projects funded by Clean Water Act Section 319 grants in the HUC8. Source data was the EPA Grants Reporting and Tracking System (GRTS; https://iaspub.epa.gov/apex/waters/f?p=110:199; accessed June 2018). GRTS is the primary tool for tracking Section 319 funded projects by EPA’s Nonpoint Source (NPS) Pollution Control Program. A query of the GRTS database was performed in June 2018 to identify HUC8s with nutrient-related NPS projects. Nutrient-related projects are those projects focused directly on nutrients (e.g., phosphorus) or pollutant issues caused by nutrient pollution (e.g., dissolved oxygen). Includes projects entered into GRTS between January 2002 through June 2018 that are ongoing or completed with a HUC8 ID for the project stored in GRTS.","Query of NPS projects by HUC8 from EPA Grants Reporting and Tracking System (GRTS) completed in June 2018."]
[3.721,"Social","NPDES Permit Count (2019)","NPDES_PERMIT_CNT_2019","Count of NPDES permits in the HUC8 watershed. National Pollutant Discharge Elimination System (NPDES) permits are issued to regulate discharge of pollutants into surface waters. Source data was a map layer of NPDES permits within EPA's Facility Registry Service (July 2019 version; downloaded from ftp://newftp.epa.gov/epadatacommons/OEI/FRS/FRS_Interests_Download.zip). Only permits that had Permit Status Description equal to \"Admin Continued\", \"Effective\", or \"Expired\" were included; permits with Permit Status Description equal to \"Terminated\", \"Pending\", \"Not Needed\", or \"Null\" were not counted. Duplicate permits were addressed by removing duplicate combinations of Registry ID and Source ID.","EPA's Facility Registry Service (FRS) geospatial dataset. July 2019 version."]
[3.7211,"Social","NPDES Major Permit Count (2019)","NPDES_MAJ_PERMIT_CNT_2019","Count of Major NPDES permits in the HUC8 watershed. National Pollutant Discharge Elimination System (NPDES) permits are issued to regulate discharge of pollutants into surface waters. Facilities with 'Major' designations discharge large volumes of wastewater or otherwise cause significant water quality impacts. Source data was a map layer of Major NPDES permits within EPA's Facility Registry Service (July 2019 version; downloaded from ftp://newftp.epa.gov/epadatacommons/OEI/FRS/FRS_Interests_Download.zip). Only permits that had Permit Status Description equal to \"Admin Continued\", \"Effective\", or \"Expired\" were included; permits with Permit Status Description equal to \"Terminated\", \"Pending\", \"Not Needed\", or \"Null\" were not counted. Duplicate permits were addressed by removing duplicate combinations of Registry ID and Source ID.","EPA's Facility Registry Service (FRS) geospatial dataset. July 2019 version."]
[3.999,"Social","Neutral Variable, Social Category","NEUTRAL_SOC","Equal to 0.5 for all HUC8s. Can be used for an analysis that focuses on just the Ecological and Stressor indicator categories, with the Social category left out. If using this indicator do not select any other Social indicators.","Not applicable."]

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["Hydrologic Unit Code 8-Digit (HUC8)","Name HUC8 Watershed","Hydrologic Unit Code 6-Digit (HUC6)","Name HUC6 Watershed","Flow Accumulation, Mean in WS","Area of HUC8 Watershed (Grid)","% Land in HUC8 Watershed (2016)","% Water in HUC8 Watershed (2016)","% Hydrologically Connected Zone (HCZ) in Watershed (2016)","% Riparian Zone (RZ) in Watershed (2016)","% Hydrologically Active Zone (HAZ) in Watershed (2016)","Area Hydrologically Active Zone (HAZ) in Watershed (2016)","NHDPlus2 Streamlength","NHD High Resolution Streamlength","NHDPlus2 Waterbody Area","NHD High Resolution Waterbody Area","All States in HUC8 (2013)","State1 in HUC8 (2013)","State2 in HUC8 (2013)","State3 in HUC8 (2013)","State4 in HUC8 (2013)","Majority State in HUC8 (2013)","% Tribal Lands in HUC8 Watershed","Tribal Lands in HUC8 Flag","EPA Region","All Counties in HUC8 (2016)","Majority County in HUC8 (2016)","All Level 3 EcoRegions (2013)","Level 3 EcoRegion with Largest Area (2013)","Slope, Mean Value in HUC8 Watershed","Elevation, Mean Value in HUC8 Watershed","Elevation, Minimum Value in WS","Elevation, Maximum Value in WS","Mean Annual Precipitation (1981-2010) in Watershed","% MS4 in HUC8 Watershed","MS4 Area in WS","% Forest in WS (2016)","% Deciduous Forest in WS (2016)","% Evergreen Forest in WS (2016)","% Mixed Forest in WS (2016)","% Forest in HCZ (2016)","% Deciduous Forest in HCZ (2016)","% Evergreen Forest in HCZ (2016)","% Mixed Forest in HCZ (2016)","% Forest in RZ (2016)","% Deciduous Forest in RZ (2016)","% Evergreen Forest in RZ (2016)","% Mixed Forest in RZ (2016)","% Forest Change in WS (2001-16)","% Forest Change in HCZ (2001-16)","% Forest Change in RZ (2001-16)","% Forest Remaining in WS","% Shrub/Scrub in WS (2016)","% Shrub/Scrub in HCZ (2016)","% Shrub/Scrub in RZ (2016)","% Grassland/Herbaceous in WS (2016)","% Grassland/Herbaceous in HCZ (2016)","% Grassland/Herbaceous in RZ (2016)","% Wetlands in WS (2016)","% Wetlands in HCZ (2016)","% Wetlands in RZ (2016)","% Wetlands Change in WS (2001-16)","% Wetlands Change in HCZ (2001-16)","% Wetlands Change in RZ (2001-16)","% Emergent Herbaceous Wetlands in WS (2016)","% Emergent Herbaceous Wetlands in HCZ (2016)","% Emergent Herbaceous Wetlands in RZ (2016)","% Woody Wetlands in WS (2016)","% Woody Wetlands in HCZ (2016)","% Woody Wetlands in RZ (2016)","% Wetlands Remaining in WS","% Open Water in WS (2016)","% Open Water in HCZ (2016)","% Open Water in RZ (2016)","% Perennial Ice/Snow in WS (2016)","% Perennial Ice/Snow in HCZ (2016)","% Perennial Ice/Snow in RZ (2016)","% Barren Land in WS (2016)","% Barren Land in HCZ (2016)","% Barren Land in RZ (2016)","% Woody Vegetation in WS (2016)","% Woody Vegetation in HCZ (2016)","% Woody Vegetation in RZ (2016)","% Woody Vegetation Change in WS (2001-16)","% Woody Vegetation Change in HCZ (2001-16)","% Woody Vegetation Change in RZ (2001-16)","% Streamlength Near < 5% Imperv Cover (2016)","% Lakeshore Length Near < 5% Imperv Cover (2016)","% All Waters Length Near < 5% Imperv Cover (2016)","% N-Index1 in WS (2016)","% N-Index1 in HCZ (2016)","% N-Index1 in RZ (2016)","% N-Index1 in HAZ (2016)","% N-Index1 Change in WS (2001-16)","% N-Index1 Change in HCZ (2001-16)","% N-Index1 Change in RZ (2001-16)","% N-Index1 Contiguous to Water in WS (2016)","% N-Index2 in WS (2016)","% N-Index2 in HCZ (2016)","% N-Index2 in RZ (2016)","% N-Index2 in HAZ (2016)","% N-Index2 Change in WS (2001-16)","% N-Index2 Change in HCZ (2001-16)","% N-Index2 Change in RZ (2001-16)","% N-Index2 Contiguous to Water in WS (2016)","% National Ecological Framework (NEF) in WS (2001)","% NEF Hubs in WS (2001)","% NEF Corridors in WS (2001)","% NEF Auxiliary Areas in WS (2001)","Soil Stability, Mean in WS","Soil Stability, Mean in HCZ","% Canopy Cover, Mean Value in WS (2016)","Carbon Storage by Tree Biomass ","Carbon Storage by Tree Root Biomass","% Draining to 1st, 2nd, or 3rd Order Streams in WS","% Rare Ecosystem in WS","Neutral Variable, Ecological Category","% Urban in WS (2016)","% Urban in HCZ (2016)","% Urban in RZ (2016)","% Urban Change in WS (2001-16)","% Urban Change in HCZ (2001-16)","% Urban Change RZ (2001-16)","% Developed, High Intensity in WS (2016)","% Developed, Medium Intensity in WS (2016)","% Developed, Low Intensity in WS (2016)","% Developed, Open Space in WS (2016)","% Developed, High Intensity in HCZ (2016)","% Developed, Medium Intensity in HCZ (2016)","% Developed, Low Intensity in HCZ (2016)","% Developed, Open Space in HCZ (2016)","% Developed, High Intensity in RZ (2016)","% Developed, Medium Intensity in RZ (2016)","% Developed, Low Intensity in RZ (2016)","% Developed, Open Space in RZ (2016)","% Agriculture in WS (2016)","% Agriculture in HCZ (2016)","% Agriculture in RZ (2016)","% Agriculture Change in WS (2001-16)","% Agriculture Change in HCZ (2001-16)","% Agriculture Change in RZ (2001-16)","% Cultivated Crops in WS (2016)","% Cultivated Crops in HCZ (2016)","% Cultivated Crops in RZ (2016)","% Pasture/Hay in WS (2016)","% Pasture/Hay in HCZ (2016)","% Pasture/Hay in RZ (2016)","Density All Mining in WS","Count All Mining in WS","Density All Coal Mining in WS","Count All Coal Mining in WS","Density Major Coal Mining in WS","Count Major Coal Mining in WS","Density Minor Coal Mining in WS","Count Minor Coal Mining in WS","Density Mineral Mining in WS","Count Mineral Mining in WS","Density All Roads in WS (2015)","Density Roads & Rails in WS (2015)","Density All Roads in RZ (2015)","Density Roads & Rails in RZ (2015)","Length Primary Roads in WS (2015)","Density Primary Roads in WS (2015)","Length Secondary Roads in WS (2015)","Density Secondary Roads in WS (2015)","Length Local Roads in WS (2015)","Density Local Roads in WS (2015)","Length Minor Roads/Trails in WS (2015)","Density Minor Roads/Trails in WS (2015)","Length All Roads in WS (2015)","Length Railroads in WS (2015)","Density Railroads in WS (2015)","Length Roads & Rails in WS (2015)","Length Primary Roads in RZ (2015)","Density Primary Roads in RZ (2015)","Length Secondary Roads in RZ (2015)","Density Secondary Roads in RZ (2015)","Length Local Roads in RZ (2015)","Density Local Roads in RZ (2015)","Length Minor Roads/Trails in RZ (2015)","Density Minor Roads/Trails in RZ (2015)","Length All Roads in RZ (2015)","Length Railroads in RZ (2015)","Density Railroads in RZ (2015)","Length Roads & Rails in RZ (2015)","Count Road-Stream Crossings (2015)","Density Road-Stream Crossing in WS (2015)","Count Road-Stream Crossings, 1st Order (2015)","Count Road-Stream Crossings, 2nd Order (2015)","Count Road-Stream Crossings, 3rd Order (2015)","Count Road-Stream Crossings, 4th Order (2015)","Count Road-Stream Crossings, 5th Order (2015)","Count Road-Stream Crossings, 6th Order (2015)","Count Road-Stream Crossings, 7th Order (2015)","Count Road-Stream Crossings, 8th Order (2015)","Count Road-Stream Crossings, 9th Order (2015)","Count Road-Stream Crossings, 1st-3rd Order (2015)","Count Road-Stream Crossings, 4th-9th Order (2015)","% Urban Contiguous to Water in WS (2016)","% Agriculture Contiguous to Water in WS (2016)","% Agriculture on Hydric Soil in WS","% Agriculture on > 10% Slope in WS (2016)","% Agriculture on > 20% Slope in WS (2016)","% Slope of Cropland, Mean in WS (2016)","% Cropland on > 3% Slope in WS (2016)","% Cropland on > 10% Slope in WS (2016)","% Slope of Cropland, Mean in RZ (2016)","% Slope of Pasture, Mean in WS (2016)","% Pasture on > 10% Slope in WS (2016)","% Slope of Pasture, Mean in RZ (2016)","% High Intensity Land Cover in RZ (2016)","% Human Use, U-Index1 in WS (2016)","% Human Use, U-Index1 in HCZ (2016)","% Human Use, U-Index1 in RZ (2016)","% Human Use Change, U-Index1 Chng in WS (2001-16)","% Human Use Change, U-Index1 Chng in HCZ (2001-16)","% Human Use Change, U-Index1 Chng in RZ (2001-16)","% U-Index1 Contiguous to Water in WS (2016)","% Human Use, U-index2 in WS (2016)","% Human Use, U-index2 in HCZ (2016)","% Human Use, U-index2 in RZ (2016)","% Human Use Change, U-Index2 Chng in WS (2001-16)","% Human Use Change, U-Index2 Chng in HCZ (2001-16)","% Human Use Change, U-Index2 Chng in RZ (2001-16)","% U-Index2 Contiguous to Water in WS (2016)","Empower Density, Mean in WS (2001)","Empower Density, Mean in HCZ (2001)","Empower Density, Mean in RZ (2001)","% Imperviousness, Mean in WS (2016)","Proximity Waters to > 5% Impervious Cover (2016)","% Waters Near > 5% Impervious Cover (2016)","Proximity Waters to > 15% Impervious Cover (2016)","% Waters Near > 15% Impervious Cover (2016)","% Streamlength Near > 5% Impervious Cover (2016)","% Streamlength Near > 15% Impervious Cover (2016)","% Lakeshore Near > 5% Impervious Cover (2016)","% Lakeshore Near > 15% Impervious Cover (2016)","% HUC8 with > 5% Impervious Cover (2016)","% HUC8 with > 15% Impervious Cover (2016)","% Imperviousness, Sum in WS (2016)","% Imperviousness, Minimum in WS (2016)","% Imperviousness, Maximum in WS (2016)","% Developed Cover Projected Change (2010-2050)","Soil Erodibility, Mean in WS","Soil Erodibility, Mean in HCZ","Population in WS","Population Density in WS","Population in RZ","Population Density in RZ","% Population in RZ","Housing Unit Density in WS","Dam Density in WS","Count of Dams in WS","Dam Storage Volume in WS","Domestic Water Demand in WS","Agricultural Water Demand in WS","Industrial Water Demand in WS","Thermoelectric Water Demand in WS","Manure Application in WS","Synthetic N Fertilizer Application in WS","Agricultural Phosphorus Balance in WS","Inorganic P Fertilizer Application in WS","Manure P Application in WS","Total Nitrogen Deposition in WS (2011)","Oxidized Nitrogen Wet Deposition in WS (2011)","Oxidized Nitrogen Dry Deposition in WS (2011)","Oxidized Nitrogen Total Deposition in WS (2011)","Reduced Nitrogen Wet Deposition in WS (2011)","Reduced Nitrogen Dry Deposition in WS (2011)","Reduced Nitrogen Total Deposition in WS (2011)","Beef Cattle Count in WS","Livestock Density (AEU) in WS","Dairy Cattle Count in WS","All Cattle Count in WS","Swine Count in WS","Sheep Count in WS","Horse Count in WS","Chicken Count in WS","Turkey Count in WS","Duck Count in WS","Septic System Count in WS","Density Toxic Release Inventory Sites in WS","Density Superfund Sites in WS","Sulfur Wet Deposition in WS (2011)","Sulfur Dry Deposition in WS (2011)","Sulfur Total Deposition in WS (2011)","Canal Density in WS","% Tile Drained Area in WS","% Ditch Drained Area in WS","% Tile or Ditch Drained in WS","Wildfire Hazard Potential, Mean in WS (2018)","% High or Very High Wildfire Hazard Potential WS (2018)","Unpollinated Area in WS","Neutral Variable, Stressor Category","% of HUC8 Instate (AL)","% of HUC8 Instate (AR)","% of HUC8 Instate (AZ)","% of HUC8 Instate (CA)","% of HUC8 Instate (CO)","% of HUC8 Instate (CT)","% of HUC8 Instate (DC)","% of HUC8 Instate (DE)","% of HUC8 Instate (FL)","% of HUC8 Instate (GA)","% of HUC8 Instate (IA)","% of HUC8 Instate (ID)","% of HUC8 Instate (IL)","% of HUC8 Instate (IN)","% of HUC8 Instate (KS)","% of HUC8 Instate (KY)","% of HUC8 Instate (LA)","% of HUC8 Instate (MA)","% of HUC8 Instate (MD)","% of HUC8 Instate (ME)","% of HUC8 Instate (MI)","% of HUC8 Instate (MN)","% of HUC8 Instate (MO)","% of HUC8 Instate (MS)","% of HUC8 Instate (MT)","% of HUC8 Instate (NC)","% of HUC8 Instate (ND)","% of HUC8 Instate (NE)","% of HUC8 Instate (NH)","% of HUC8 Instate (NJ)","% of HUC8 Instate (NM)","% of HUC8 Instate (NV)","% of HUC8 Instate (NY)","% of HUC8 Instate (OH)","% of HUC8 Instate (OK)","% of HUC8 Instate (OR)","% of HUC8 Instate (PA)","% of HUC8 Instate (RI)","% of HUC8 Instate (SC)","% of HUC8 Instate (SD)","% of HUC8 Instate (TN)","% of HUC8 Instate (TX)","% of HUC8 Instate (UT)","% of HUC8 Instate (VA)","% of HUC8 Instate (VT)","% of HUC8 Instate (WA)","% of HUC8 Instate (WI)","% of HUC8 Instate (WV)","% of HUC8 Instate (WY)","Single State in HUC8 Flag","% Protected Land, All Types (2019)","% Protected Land, IUCN Status Ia (2019)","% Protected Land, IUCN Status II (2019)","% Protected Land, IUCN Status III (2019)","% Protected Land, IUCN Status IV (2019)","% Protected Land, IUCN Status V (2019)","% Protected Land, IUCN Status VI (2019)","% Protected Land, IUCN Status Ib (2019)","% Protected Land, USGS GAP, Resource Extraction Not Permitted","% Protected Land, USGS GAP, Resource Extraction Permitted","USDA Conservation Reserve Program Area in WS ","% Conservation Easement in WS","National Wild and Scenic Rivers, Presence/Absence in WS","% Drinking Water Source Protection Area, Surface","% Drinking Water Source Protection Area, Ground","Drinking Water Surface Intake Count","Drinking Water Groundwater Intake Count","% Potentially Restorable Wetlands","303d Vision Priority Flag","% Small Natural Areas in WS","% Medium Natural Areas in WS","% Large Natural Areas in WS","Freshwater Fishing Demand in WS ","Nonpoint Control Projects Count","Nonpoint Control Projects Presence","Sediment Nonpoint Control Projects Presence","Metals Nonpoint Control Projects Presence","Pathogens Nonpoint Control Projects Presence","Nutrients Nonpoint Control Projects Presence","NPDES Permit Count (2019)","NPDES Major Permit Count (2019)","Neutral Variable, Social Category"]
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