User Guide Automated Probabilistic Co-Occurrence Assessment Tool Version 2.1 - 2024 |
Table of Contents |
ForewordIn response to the need for efficient production of advanced geospatial analyses of co-occurrence between pesticide use and species of interest as required by the Endangered Species Act, Stone Environmental, with the support of Syngenta Crop Protection, developed the Automated Probabilistic Co-Occurrence Assessment Tool (APCOAT) in early 2022. APCOAT is designed to produce probabilistic spatial models of both pesticide use and species distributions, and combine the models for co-occurrence assessments. Each of the models may also be run independently. The pesticide use models are represented by probabilistic crop footprints[1, 2] and statistical measures of the Percent Crop Treated (PCT) derived from freely available pesticide usage data[3], or from pesticide usage data provided by the user. The species distribution models (SDMs) are produced using maximum entropy methods[4] analyzing the statistical fit between species presence location records and geographic predictor rasters for environmental variables. Probabilistic co-occurrence between pesticide usage and species distributions is calculated by multiplying the two model output rasters. For planning and conservation purposes, the co-occurrence statistics may be summarized by state, crop reporting district, county, or watershed. |
Predictor Variable Name | Description | Citation | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
annualSolar_PRISM | Average annual solar radiation, 1990 - 2020 | Fick & Hijmans 2017[2], calculated using 1990 - 2020 climate normals[1], 2022[1] | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
BIO01_MeanTemp | Annual Mean Temperature | Fick & Hijmans 2017[2], calculated using 1990 - 2020 climate normals[1] | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
BIO02_MeanDiurnalRange | Mean of monthly (Monthly maximum temperature - Monthly minimum tempreature | Fick & Hijmans 2017[2], calculated using 1990 - 2020 climate normals[1] | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
BIO03_Isothermality | (BIO2/BIO7) x 100 | Fick & Hijmans 2017[2], calculated using 1990 - 2020 climate normals[1] | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
BIO04_Temp_StDev | (Standard deviation of monthly temperature) x 100/td> | Fick & Hijmans 2017[2], calculated using 1990 - 2020 climate normals[1] | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
BIO05_MaxTemp | Maximum temperature of warmest month | Fick & Hijmans 2017[2], calculated using 1990 - 2020 climate normals[1] | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
BIO06_MinTemp | Minimum temperature of coldest month | Fick & Hijmans 2017[2], calculated using 1990 - 2020 climate normals[1] | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
BIO07_AnnTempRange | BIO5 - BIO6 | Fick & Hijmans 2017[2], calculated using 1990 - 2020 climate normals[1] | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
BIO08_MeanTemp_WetQuarter | Average temperature during three month period with highest total precipitation | Fick & Hijmans 2017[2], calculated using 1990 - 2020 climate normals[1] | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
BIO09_MeanTemp_DryQuarter | Average temperature during three month period with lowest total precipitation | Fick & Hijmans 2017[2], calculated using 1990 - 2020 climate normals[1] | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
BIO10_WarmestQuarterTemp | Mean temperature of three month period with highest average temperature | Fick & Hijmans 2017[2], calculated using 1990 - 2020 climate normals[1] | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
BIO11_ColdestQuarterTemp | Mean temperature of three month period with lowest average temperature | Fick & Hijmans 2017[2], calculated using 1990 - 2020 climate normals[1] | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
BIO12_AnnPrecip | Total annual precipitation | Fick & Hijmans 2017[2], calculated using 1990 - 2020 climate normals[1] | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
BIO13_MaxPrecipMonth | Maximum monthly precipitation | Fick & Hijmans 2017[2], calculated using 1990 - 2020 climate normals[1] | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
BIO14_MinPrecipMonth | Minimum monthly precipitation | Fick & Hijmans 2017[2], calculated using 1990 - 2020 climate normals[1] | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
BIO15_PrecipSeasonality | Standard deviation of monthly precipitation divided by average annual precipitation | Fick & Hijmans 2017[2], calculated using 1990 - 2020 climate normals[1] | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
BIO16_MaxPrecipQuarter | Total precipitation during the wettest three month period | Fick & Hijmans 2017[2], calculated using 1990 - 2020 climate normals[1] | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
BIO17_MinPrecipQuarter | Total precipitation during the driest three month period | Fick & Hijmans 2017[2], calculated using 1990 - 2020 climate normals[1] | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
BIO18_PrecipWarmQuarter | Total precipitation during the warmest three month period | Fick & Hijmans 2017[2], calculated using 1990 - 2020 climate normals[1] | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
BIO19_PrecipColdQuarter | Total precipitation during the coldest three month period | Fick & Hijmans 2017[2], calculated using 1990 - 2020 climate normals[1] | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
CHELSA_gsl_1981_2010 | Length of growing season | Karger et al. 2017[3, 4] | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
CHELSA_kg0_1981-2010 (factor) | Köppen climate classification | Karger et al. 2017[3, 4] | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
CHELSA_npp_181-2010 | Net primary productivity | Karger et al. 2017[3, 4] | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
CHELSA_pet_MaxPrecipQuarter | Potential evapotranspiration during the wettest three month period | Derived from Karger et al. 2017[3, 4] using 1990 - 2020 climate normals[1] | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
CHELSA_pet_MaxTempQuarter | Potential evapotranspiration during the warmest three month period | Derived from Karger et al. 2017[3, 4] using 1990 - 2020 climate normals[1] | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
CHELSA_pet_MinPrecipQuarter | Potential evapotranspiration during the driest three month period | Derived from Karger et al. 2017[3, 4] using 1990 - 2020 climate normals[1] | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
CHELSA_pet_MinTempQuarter | Potential evapotranspiration during the coldest three month period | Derived from Karger et al. 2017[3, 4] using 1990 - 2020 climate normals[1] | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
CHELSA_swb_2018 | Site water balance | Karger et al. 2017[3, 4] | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Distance_to_Saltwater | Distance to the nearest oceanic coastline | US EPA & USGS 2012[5] | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Distance_to_Water | Distance to the nearest freshwater flowing or static waterbody | US EPA & USGS 2012[5] | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
EarthEnv_EVI_cv | Enhanced Vegetation Index coefficient of variation | Tuanmu & Jetz 2015[6] | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
EarthEnv_EVI_homogeneity | Similarity of Enhanced Vegetation Index between adjacent pixels | Tuanmu & Jetz 2015[6] | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
elevation_EDNA_2018 | Height above sea level (m) | USGS 2018[7] | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
landCover_NLCD_2019 | Aggregated land use and land cover classes
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Multi-Resolution Land Characteristics Consortium 2021[8] | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
soilTexture_gSSURGO_2019 | Aggregated soil texture classes
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United States Department of Agriculture[9] |
Note that the majority of these variables have been compiled by Hill et al. (2016)[10] in the StreamCat dataset. Original StreamCat data sources can be found at the StreamCat Metrics and Definitions page.
Name | Description | Citation |
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AgKffactWs | Mean soil erodibility (Kf) factor (unitless) of soils within watershed on agricultural land. The Kf factor is used in the Universal Soil Loss Equation (USLE) and represents a relative index of susceptibility of bare, cultivated soil to particle detachment and transport by rainfall. | Hill et al. 2016[10] |
Al2O3Ws | Mean % of lithological aluminum oxide (Al2O3) content in surface or near surface geology within watershed | Hill et al. 2016[10] |
AreaSqKm | Catchment area, in square kilometers | NHDPlus flowlines[5] |
BFIWs | Baseflow is the component of streamflow that can be attributed to ground-water discharge into streams. The Baseflow Index (BFI) is the ratio of baseflow to total flow, expressed as a percentage, within watershed. | Hill et al. 2016[10] |
Bioclimatic variables (BIOXX_*) are assigned by calculating the mean values per catchment and extracting the values to flowline center points within those catchments. | ||
BIO01_MeanTemp | Annual mean temperature | Fick & Hijmans 2017[2], calculated using 1990 - 2020 climate normals[1] |
BIO02_MeanDiurnalRange | Mean diurnal range (mean of monthly (max temp - min temp)) | Fick & Hijmans 2017[2], calculated using 1990 - 2020 climate normals[1] |
BIO03_Isothermality | Isothermality ((BIO2/BIO7) x100) | Fick & Hijmans 2017[2], calculated using 1990 - 2020 climate normals[1] |
BIO04_Temp_StDev | Temperature seasonality (standard deviation x100) | Fick & Hijmans 2017[2], calculated using 1990 - 2020 climate normals[1] |
BIO05_MaxTemp | Max temperature of warmest month | Fick & Hijmans 2017[2], calculated using 1990 - 2020 climate normals[1] |
BIO06_MinTemp | Min temperature of coldest month | Fick & Hijmans 2017[2], calculated using 1990 - 2020 climate normals[1] |
BIO07_AnnTempRange | Temperature annual range (BIO5-BIO6) | Fick & Hijmans 2017[2], calculated using 1990 - 2020 climate normals[1] |
BIO08_MeanTemp_WetQuarter | Mean temperature of wettest quarter | Fick & Hijmans 2017[2], calculated using 1990 - 2020 climate normals[1] |
BIO09_MeanTemp_DryQuarter | Mean temperature of driest quarter | Fick & Hijmans 2017[2], calculated using 1990 - 2020 climate normals[1] |
BIO10_WarmestQuarterTemp | Mean temperature of warmest quarter | Fick & Hijmans 2017[2], calculated using 1990 - 2020 climate normals[1] |
BIO11_ColdestQuarterTemp | Mean temperature of coldest quarter | Fick & Hijmans 2017[2], calculated using 1990 - 2020 climate normals[1] |
BIO12_AnnPrecip | Annual precipitation | Fick & Hijmans 2017[2], calculated using 1990 - 2020 climate normals[1] |
BIO13_MaxPrecipMonth | Precipitation of wettest month | Fick & Hijmans 2017[2], calculated using 1990 - 2020 climate normals[1] |
BIO14_MinPrecipMonth | Precipitation of driest month | Fick & Hijmans 2017[2], calculated using 1990 - 2020 climate normals[1] |
BIO15_PrecipSeasonality | Precipitation seasonality (coefficient of variation) | Fick & Hijmans 2017[2], calculated using 1990 - 2020 climate normals[1] |
BIO16_MaxPrecipQuarter | Precipitation of wettest quarter | Fick & Hijmans 2017[2], calculated using 1990 - 2020 climate normals[1] |
BIO17_MinPrecipQuarter | Precipitation of driest quarter | Fick & Hijmans 2017[2], calculated using 1990 - 2020 climate normals[1] |
BIO18_PrecipWarmQuarter | Precipitation of warmest quarter | Fick & Hijmans 2017[2], calculated using 1990 - 2020 climate normals[1] |
BIO19_PrecipColdQuarter | Precipitation of coldest quarter | Fick & Hijmans 2017[2], calculated using 1990 - 2020 climate normals[1] |
CanalDensWs | Density of NHDPlus line features classified as canal, ditch, or pipeline within the upstream watershed (km/ square km) | Hill et al. 2016[10] |
CaOWs | Mean % of lithological calcium oxide (CaO) content in surface or near surface geology within watershed | Hill et al. 2016[10] |
CBNFWs | Mean rate of biological nitrogen fixation from the cultivation of crops in kg N/ha/yr, within watershed | Hill et al. 2016[10] |
ClayWs | Mean % clay content of soils (STATSGO) within watershed | Hill et al. 2016[10] |
CompStrgthWs | Mean lithological uniaxial compressive strength (megaPascals) content in surface or near surface geology within watershed | Hill et al. 2016[10] |
D50_mm_ | Median bed-material particle size | Abeshu et al. 2022[11] |
DamDensWs | Density of georeferenced dams within watershed (dams/ square km) based on the National Inventory of Dams (https://catalog.data.gov/dataset/national-inventory-of-dams) | Hill et al. 2016[10] |
DamNIDStorWs | Total possible volume of all reservoirs (NID_STORA in NID) per unit area of watershed (cubic meters/square km) based on the National Inventory of Dams (https://catalog.data.gov/dataset/national-inventory-of-dams) | Hill et al. 2016[10] |
FCODE | Flowline type (connector, canal/ditch, pipelines, stream/river, artificial path) | NHDPlus flowlines[5] |
Fe2O3Ws | Mean % of lithological ferric oxide (Fe2O3) content in surface or near surface geology within watershed | Hill et al. 2016[10] |
FertWs | Mean rate of synthetic nitrogen fertilizer application to agricultural land in kg N/ha/yr, within watershed | Hill et al. 2016[10] |
Frac_Barren | Fraction of area within 100m buffer of flowline classified as barren (NLCD 2019 class 31) | Dewitz 2024[12] |
Frac_Cultivated | Fraction of area within 100m buffer of flowline classified as cultivated (NLCD 2019 class 82) | Dewitz 2024[12] |
Frac_Developed | Fraction of area within 100m buffer of flowline classified as developed open space, developed low, developed medium, developed high (NLCD classes 21, 22, 23, 24) | Dewitz 2024[12] |
Frac_Forest | Fraction of area within 100m buffer of flowline classified as deciduous forest, evergreen forest, or mixed forest (NLCD 2019 classes 41, 42, 43) | Dewitz 2024[12] |
Frac_Pasture | Fraction of area within 100m buffer of flowline classified as pasture/hay (NLCD 2019 class 81) | Dewitz 2024[12] |
Frac_ShrubHerb | Fraction of area within 100m buffer of flowline classified as shrub/scrub or grassland/herbaceous (NLCD 2019 classes 52, 71) | Dewitz 2024[12] |
Frac_Water | Fraction of area within 100m buffer of flowline classified as water (NLCD 2019 class 11) | Dewitz 2024[12] |
Frac_Wetland | Fraction of area within 100m buffer of flowline classified as woody wetlands or herbaeous wetlands (NLCD 2019 classes 90, 95) | Dewitz 2024[12] |
HUDen2010Ws | Mean housing unit density (housing units/square km) within watershed | Hill et al. 2016[10] |
HydrlCondWs | Mean lithological hydraulic conductivity (micrometers per second) content in surface or near surface geology within watershed | Hill et al. 2016[10] |
InorgNWetDep_2008Ws | Annual gradient map of precipitation-weighted mean deposition for inorganic nitrogen wet deposition from nitrate and ammonium for 2008 in kg of N/ha/yr, within watershed | Hill et al. 2016[10] |
IWI_v2_1 | Revised ndex of watershed integrity (version 2.1) based on Johnson et al. 2018 STOTEN | Hill et al. 2016[10] |
K2OWs | Mean % of lithological potassium oxide (K2O) content in surface or near surface geology within watershed | Hill et al. 2016[10] |
KffactWs | Mean soil erodibility (Kf) factor (unitless) of soils within watershed. The Kf factor is used in the Universal Soil Loss Equation (USLE) and represents a relative index of susceptibility of bare, cultivated soil to particle detachment and transport by rainfall. | Hill et al. 2016[10] |
Mainline | 1 indicates the waterbody is receives flow from a neighboring HUC12, 0 indicates that it does not | NHDPlus flowlines[5] |
ManureWs | Mean rate of manure application to agricultural land from confined animal feeding operations in kg N/ha/yr, within watershed | Hill et al. 2016[10] |
MAXELEVSMO | Elevation (m) | NHDPlus flowlines[5] |
MaxFlow_QuarterTemp | Average air temperature during the four month period with the highest monthly flow rates | US EPA & USGS 2012[5], Fick & Hijmans 2017[2], calculated using 1990 - 2020 climate normals[1] |
MgOWs | Mean % of lithological magnesium oxide (MgO) content in surface or near surface geology within watershed | Hill et al. 2016[10] |
MineDensWs | Density of mine sities within watershed (mines/square km) | Hill et al. 2016[10] |
MineDensWsRp100 | Density of mine sites within watershed and within 100-m buffer of NHD stream lines (mines/square km) | Hill et al. 2016[10] |
MinFlow_QuarterTemp | Average air temperature during the four month period with the lowest monthly flow rates | US EPA & USGS 2012[5], Fick & Hijmans 2017[2], calculated using 1990 - 2020 climate normals[1] |
Na2OWs | Mean % of lithological sodium oxide (Na2O) content in surface or near surface geology within watershed | Hill et al. 2016[10] |
NABD_DensWs | Density of georeferenced dams within watershed (dams/ square km) based on the National Inventory of Dams (https://catalog.data.gov/dataset/national-inventory-of-dams) | Hill et al. 2016[10] |
NABD_NIDStorWs | Volume all reservoirs (NID_STORA in NID) within watershed (cubic meters/square km) | Hill et al. 2016[10] |
NABD_NrmStorWs | Normal (most common) volume of all reservoirs (NORM_STORA in NID) per unit area of watershed (cubic meters/square km) based on the National Anthropogenic Barrier Dataset (https://www.sciencebase.gov/catalog/item/56a7f9dce4b0b28f1184dabd) | Hill et al. 2016[10] |
NARS_Region_int | National Aquatic Resource Surveys (NARS) reporting region. CPL = Coastal Plains; NAP = Northern Appalachia; NLP = Northern Plains; SAP = Southern Appalachia; SPL = Southern Plains; TPL = Temperate Plains; UMW = Upper Midwest; WMT = Western Mountains; XER = Xeric | Hill et al. 2016[10] |
NH4_2008Ws | Annual gradient map of precipitation-weighted mean deposition for ammonium ion concentration wet deposition for 2008 in kg of NH4/ha/yr, within watershed | Hill et al. 2016[10] |
NO3_2008Ws | Annual gradient map of precipitation-weighted mean deposition for nitrate ion concentration wet deposition for 2008 in kg of NO3/ha/yr, within watershed | Hill et al. 2016[10] |
NPDESDensWs | Density of permitted NPDES (National Pollutant Discharge Elimination System) sites within watershed (sites/square km) | Hill et al. 2016[10] |
NPDESDensWsRp100 | Density of permitted NPDES (National Pollutant Discharge Elimination System) sites within watershed and within a 100-m buffer of NHD stream lines (sites/square km) | Hill et al. 2016[10] |
NWs | Mean % of lithological nitrogen (N) content in surface or near surface geology within watershed | Hill et al. 2016[10] |
OmCat | Mean organic matter content (% by weight) of soils (STATSGO) within catchment | Hill et al. 2016[10] |
OmWs | Mean organic matter content (% by weight) of soils (STATSGO) within watershed | Hill et al. 2016[10] |
P2O5Ws | Mean % of lithological phosphorous oxide (P2O5) content in surface or near surface geology within watershed | Hill et al. 2016[10] |
PctAg2006Slp20Ws | % of watershed area classified as ag land cover (NLCD 2006 classes 81-82) occurring on slopes greater than or equal to 20% | Hill et al. 2016[10] |
PctAlluvCoastWs | % of watershed area classified as lithology type: alluvium and fine-textured coastal zone sediment | Hill et al. 2016[10] |
PctBl2016Cat | % of watershed area classified as barren land cover (NLCD 2016 class 31) | Hill et al. 2016[10] |
PctBl2016Ws | % of watershed area classified as barren land cover (NLCD 2016 class 31) | Hill et al. 2016[10] |
PctBl2016WsRp100 | % of watershed area classified as barren land cover (NLCD 2016 class 31) within a 100-m buffer of NHD streams | Hill et al. 2016[10] |
PctCarbResidWs | % of watershed area classified as lithology type: carbonate residual material | Hill et al. 2016[10] |
PctColluvSedWs | % of watershed area classified as lithology type: colluvial sediment | Hill et al. 2016[10] |
PctConif2016Cat | % of catchment area classified as evergreen forest land cover (NLCD 2016 class 42) | Hill et al. 2016[10] |
PctConif2016Ws | % of watershed area classified as evergreen forest land cover (NLCD 2016 class 42) | Hill et al. 2016[10] |
PctConif2016WsRp100 | % of watershed area classified as evergreen forest land cover (NLCD 2016 class 42) within a 100-m buffer of NHD streams | Hill et al. 2016[10] |
PctCrop2016Cat | % of catchment area classified as crop land use (NLCD 2016 class 82) | Hill et al. 2016[10] |
PctCrop2016Ws | % of watershed area classified as crop land use (NLCD 2016 class 82) | Hill et al. 2016[10] |
PctCrop2016WsRp100 | % of watershed area classified as crop land use (NLCD 2016 class 82) within a 100-m buffer of NHD streams | Hill et al. 2016[10] |
PctDecid2016Cat | % of catchment area classified as deciduous forest land cover (NLCD 2016 class 82) | Hill et al. 2016[10] |
PctDecid2016Ws | % of watershed area classified as deciduous forest land cover (NLCD 2016 class 82) | Hill et al. 2016[10] |
PctDecid2016WsRp100 | % of watershed area classified as deciduous forest land cover (NLCD 2016 class 82) within a 100-m buffer of NHD streams | Hill et al. 2016[10] |
PctEolCrsWs | % of watershed area classified as lithology type: eolian sediment, coarse-textured (sand dunes) | Hill et al. 2016[10] |
PctEolFineWs | % of watershed area classified as lithology type: eolian sediment, fine-textured (glacial loess) | Hill et al. 2016[10] |
PctFire2010Ws | % forest loss to fire (fire perimeter) within watershed | Hill et al. 2016[10] |
PctFire2010WsRp100 | % forest loss to fire (fire perimeter) within watershed and within a 100-m buffer of NHD stream lines (sites/square km) | Hill et al. 2016[10] |
PctFrst2016Cat | % of catchment area classified as forest land cover (NLCD 2016 classes 42 - evergreen, 43 - mixed, 82 - deciduous) | Adapted from Hill et al. 2016[10] |
PctFrst2016Ws | % of watershed area classified as forest land cover (NLCD 2016 classes 42 - evergreen, 43 - mixed, 82 - deciduous) | Adapted from Hill et al. 2016[10] |
PctFrst2016WsRp100 | % of watershed area classified as forest land cover (NLCD 2016 classes 42 - evergreen, 43 - mixed, 82 - deciduous) within a 100-m buffer of NHD streams | Adapted from Hill et al. 2016[10] |
PctFrstLoss2013Ws | % Forest cover loss (Tree canopy cover change) for 2013 within watershed | Hill et al. 2016[10] |
PctFrstLoss2013WsRp100 | % Forest cover loss (Tree canopy cover change) for 2013 within watershed and within a 100-m buffer of NHD stream lines (sites/square km) | Hill et al. 2016[10] |
PctGlacLakeCrsWs | % of watershed area classified as lithology type: glacial outwash and glacial lake sediment, coarse-textured | Hill et al. 2016[10] |
PctGlacLakeFineWs | % of watershed area classified as lithology type: glacial lake sediment, fine-textured | Hill et al. 2016[10] |
PctGlacTilClayWs | % of watershed area classified as lithology type: glacial till, clayey | Hill et al. 2016[10] |
PctGlacTilCrsWs | % of watershed area classified as lithology type: glacial till, coarse-textured | Hill et al. 2016[10] |
PctGlacTilLoamWs | % of watershed area classified as lithology type: glacial till, loamy | Hill et al. 2016[10] |
PctGrs2016Cat | % of catchment area classified as grassland/herbaceous land cover (NLCD 2016 class 71) | Hill et al. 2016[10] |
PctGrs2016Ws | % of watershed area classified as grassland/herbaceous land cover (NLCD 2016 class 71) | Hill et al. 2016[10] |
PctGrs2016WsRp100 | % of watershed area classified as grassland/herbaceous land cover (NLCD 2016 class 71) within a 100-m buffer of NHD streams | Hill et al. 2016[10] |
PctHay2016Cat | % of catchment area classified as hay land use (NLCD 2016 class 81) | Hill et al. 2016[10] |
PctHay2016Ws | % of watershed area classified as hay land use (NLCD 2016 class 81) | Hill et al. 2016[10] |
PctHay2016WsRp100 | % of watershed area classified as hay land use (NLCD 2016 class 81) within a 100-m buffer of NHD streams | Hill et al. 2016[10] |
PctHbWet2016Cat | % of catchment area classified as herbaceous wetland land cover (NLCD 2016 class 95) | Hill et al. 2016[10] |
PctHbWet2016Ws | % of watershed area classified as herbaceous wetland land cover (NLCD 2016 class 95) | Hill et al. 2016[10] |
PctHbWet2016WsRp100 | % of watershed area classified as herbaceous wetland land cover (NLCD 2016 class 95) within a 100-m buffer of NHD streams | Hill et al. 2016[10] |
PctHydricWs | % of watershed area classified as lithology type: hydric, peat and muck | Hill et al. 2016[10] |
PctIce2016Cat | % of catchment area classified as ice/snow land cover (NLCD 2016 class 12) | Hill et al. 2016[10] |
PctIce2016Ws | % of watershed area classified as ice/snow land cover (NLCD 2016 class 12) | Hill et al. 2016[10] |
PctIce2016WsRp100 | % of watershed area classified as ice/snow land cover (NLCD 2016 class 12) within a 100-m buffer of NHD streams | Hill et al. 2016[10] |
PctImp2019Cat | Mean imperviousness of anthropogenic surfaces (NLCD 2019) within catchment | Hill et al. 2016[10] |
PctImp2019CatRp100 | Mean imperviousness of anthropogenic surfaces (NLCD 2019) within catchment and within a 100-m buffer of NHD stream lines | Hill et al. 2016[10] |
PctImp2019Ws | Mean imperviousness of anthropogenic surfaces (NLCD 2019) within watershed | Hill et al. 2016[10] |
PctImp2019WsRp100 | Mean imperviousness of anthropogenic surfaces (NLCD 2019) within watershed and within a 100-m buffer of NHD stream lines | Hill et al. 2016[10] |
PctMxFst2016Cat | % of catchment area classified as mixed deciduous/evergreen forest land cover (NLCD 2016 class 43) | Hill et al. 2016[10] |
PctMxFst2016Ws | % of watershed area classified as mixed deciduous/evergreen forest land cover (NLCD 2016 class 43) | Hill et al. 2016[10] |
PctMxFst2016WsRp100 | % of watershed area classified as mixed deciduous/evergreen forest land cover (NLCD 2016 class 43) within a 100-m buffer of NHD streams | Hill et al. 2016[10] |
PctNonAgIntrodManagVegWs | % Nonagriculture nonnative introduced or managed vegetation landcover type reclassed from LANDFIRE Existing Vegetation Type (EVT), within watershed | Hill et al. 2016[10] |
PctNonAgIntrodManagVegWsRp100 | % Nonagriculture nonnative introduced or managed vegetation landcover type reclassed from LANDFIRE Existing Vegetation Type (EVT), within watershed and within 100-m buffer of NHD stream lines | Hill et al. 2016[10] |
PctNonCarbResidWs | % of watershed area classified as lithology type: non-carbonate residual material | Hill et al. 2016[10] |
PctOw2016Cat | % of catchment area classified as open water land cover (NLCD 2016 class 11) | Hill et al. 2016[10] |
PctOw2016Ws | % of watershed area classified as open water land cover (NLCD 2016 class 11) | Hill et al. 2016[10] |
PctOw2016WsRp100 | % of watershed area classified as open water land cover (NLCD 2016 class 11) within a 100-m buffer of NHD streams | Hill et al. 2016[10] |
PctSalLakeWs | % of watershed area classified as lithology type: saline like sediment | Hill et al. 2016[10] |
PctShrb2016Cat | % of catchment area classified as shrub/scrub land cover (NLCD 2016 class 52) | Hill et al. 2016[10] |
PctShrb2016Ws | % of watershed area classified as shrub/scrub land cover (NLCD 2016 class 52) | Hill et al. 2016[10] |
PctShrb2016WsRp100 | % of watershed area classified as shrub/scrub land cover (NLCD 2016 class 52) within a 100-m buffer of NHD streams | Hill et al. 2016[10] |
PctShrbHrb2016Cat | % of catchment area classified as shrub/scrub or grass land cover (NLCD 2016 class 52 or 71) | Adapted from Hill et al. 2016[10] |
PctShrbHrb2016Ws | % of watershed area classified as shrub/scrub or grass land cover (NLCD 2016 class 52 or 71) | Adapted from Hill et al. 2016[10] |
PctShrbHrb2016WsRp100 | % of watershed area classified as shrub/scrub or grass land cover (NLCD 2016 class 52 or 71) within a 100-m buffer of NHD streams | Adapted from Hill et al. 2016[10] |
PctSilicicWs | % of watershed area classified as lithology type: silicic residual material | Hill et al. 2016[10] |
PctUrb2016Cat | % of catchment area classified as urban land use (NLCD 2016 class 21, 22, 23, 24) | Hill et al. 2016[10] |
PctUrb2016Ws | % of watershed area classified as urban land use (NLCD 2016 class 21, 22, 23, 24) | Hill et al. 2016[10] |
PctUrb2016WsRp100 | % of watershed area classified as urban land use (NLCD 2016 class 21, 22, 23, 24) within a 100-m buffer of NHD streams | Hill et al. 2016[10] |
PctUrbHi2016Cat | % of catchment area classified as developed, high-intensity land use (NLCD 2016 class 24) | Hill et al. 2016[10] |
PctUrbHi2016Ws | % of watershed area classified as developed, high-intensity land use (NLCD 2016 class 24) | Hill et al. 2016[10] |
PctUrbHi2016WsRp100 | % of watershed area classified as developed, high-intensity land use (NLCD 2016 class 24) within a 100-m buffer of NHD streams | Hill et al. 2016[10] |
PctUrbLo2016Cat | % of catchment area classified as developed, low-intensity land use (NLCD 2016 class 22) | Hill et al. 2016[10] |
PctUrbLo2016Ws | % of watershed area classified as developed, low-intensity land use (NLCD 2016 class 22) | Hill et al. 2016[10] |
PctUrbLo2016WsRp100 | % of watershed area classified as developed, low-intensity land use (NLCD 2016 class 22) within a 100-m buffer of NHD streams | Hill et al. 2016[10] |
PctUrbMd2016Cat | % of catchment area classified as developed, medium-intensity land use (NLCD 2016 class 23) | Hill et al. 2016[10] |
PctUrbMd2016Ws | % of watershed area classified as developed, medium-intensity land use (NLCD 2016 class 23) | Hill et al. 2016[10] |
PctUrbMd2016WsRp100 | % of watershed area classified as developed, medium-intensity land use (NLCD 2016 class 23) within a 100-m buffer of NHD streams | Hill et al. 2016[10] |
PctUrbOp2016Cat | % of catchment area classified as developed, open space land use (NLCD 2016 class 21) | Hill et al. 2016[10] |
PctUrbOp2016Ws | % of watershed area classified as developed, open space land use (NLCD 2016 class 21) | Hill et al. 2016[10] |
PctUrbOp2016WsRp100 | % of watershed area classified as developed, open space land use (NLCD 2016 class 21) within a 100-m buffer of NHD streams | Hill et al. 2016[10] |
PctWdWet2016Cat | % of catchment area classified as woody wetland land cover (NLCD 2016 class 90) | Hill et al. 2016[10] |
PctWdWet2016Ws | % of watershed area classified as woody wetland land cover (NLCD 2016 class 90) | Hill et al. 2016[10] |
PctWdWet2016WsRp100 | % of watershed area classified as woody wetland land cover (NLCD 2016 class 90) within a 100-m buffer of NHD streams | Hill et al. 2016[10] |
PctWetlnd2016Cat | % of catchment area classified as woody wetland or herbaceous wetland land cover (NLCD 2016 class 90 or 95) | Adapted from Hill et al. 2016[10] |
PctWetlnd2016Ws | % of watershed area classified as woody wetland or herbaceous wetland land cover (NLCD 2016 class 90 or 95) | Adapted from Hill et al. 2016[10] |
PctWetlnd2016WsRp100 | % of watershed area classified as woody wetland or herbaceous wetland land cover (NLCD 2016 class 90 or 95) within a 100-m buffer of NHD streams | Adapted from Hill et al. 2016[10] |
PermWs | Mean permeability (cm/hour) of soils (STATSGO) within watershed | Hill et al. 2016[10] |
Pestic97Ws | Mean pesticide use (kg/km2) in yr. 1997 within watershed | Hill et al. 2016[10] |
PopDen2010Ws | Mean population density (people/square km) within watershed | Hill et al. 2016[10] |
PopDen2010WsRp100 | Mean population density (people/square km) within watershed and within a 100-m buffer of NHD stream lines | Hill et al. 2016[10] |
QE_Coldest_Mean | Average flow rate during the coldest three month period of the year | US EPA & USGS 2012[5], Fick & Hijmans 2017[2], calculated using 1990 - 2020 climate normals[1] |
QE_Driest_Mean | Average flow rate during the driest three month period of the year | US EPA & USGS 2012[5], Fick & Hijmans 2017[2], calculated using 1990 - 2020 climate normals[1] |
QE_MA | Mean annual flow rate | US EPA & USGS 2012[5] |
QE_Max | Maximum monthly flow rate | US EPA & USGS 2012[5] |
QE_MaxFlow_Quarter | Three month period during which the highest average flow rate is observed | US EPA & USGS 2012[5] |
QE_Min | Minimum monthly flow rate | US EPA & USGS 2012[5] |
QE_MinFlow_Quarter | Three month period during which the lowest average flow rate is observed | US EPA & USGS 2012[5] |
QE_Range | Range of monthly flow rates | US EPA & USGS 2012[5] |
QE_StDev | Standard deviation of monthly flow rates | US EPA & USGS 2012[5] |
QE_Warmest_Mean | Average flow rate during the warmest three month period of the year | US EPA & USGS 2012[5], Fick & Hijmans 2017[2], calculated using 1990 - 2020 climate normals[1] |
QE_Wettest_Mean | Average flow rate during the wettest three month period of the year | US EPA & USGS 2012[5], Fick & Hijmans 2017[2], calculated using 1990 - 2020 climate normals[1] |
RckDepWs | Mean depth (cm) to bedrock of soils (STATSGO) within watershed | Hill et al. 2016[10] |
RdCrsSlpWtdCat | Density of roads-stream intersections (2010 Census Tiger Lines-NHD stream lines) multiplied by NHDPlusV21 slope within catchment (crossings*slope/square km) | Hill et al. 2016[10] |
RdCrsSlpWtdWs | Density of roads-stream intersections (2010 Census Tiger Lines-NHD stream lines) multiplied by NHDPlusV21 slope within watershed (crossings*slope/square km) | Hill et al. 2016[10] |
RdCrsWs | Density of roads-stream intersections (2010 Census Tiger Lines-NHD stream lines) within watershed (crossings/square km) | Hill et al. 2016[10] |
RdDensWs | Density of roads (2010 Census Tiger Lines) within watershed (km/square km) | Hill et al. 2016[10] |
RdDensWsRp100 | Density of roads (2010 Census Tiger Lines) within watershed and within a 100-m buffer of NHD stream lines (km/square km) | Hill et al. 2016[10] |
RunoffWs | Mean runoff (mm) within watershed | Hill et al. 2016[10] |
SandWs | Mean % sand content of soils (STATSGO) within watershed | Hill et al. 2016[10] |
Sinuosity | Sinuosity of the flowline geometry, calculated as (flowline length/distance between flowline endpoints) | Adapted from US EPA & USGS 2012[5] |
SiO2Ws | Mean % of lithological silicon dioxide (SiO2) content in surface or near surface geology within watershed | Hill et al. 2016[10] |
SLOPE | Slope of the flowline from smoothed elevation (unitless) | US EPA & USGS 2012[5] |
SN_2008Ws | Annual mean sulfur and nitrogen wet deposition for 2008 within watershed | Hill et al. 2016[10] |
StreamCalc | Stream order | US EPA & USGS 2012[5] |
SuperfundDensWs | Density of Superfund sites within watershed (sites/square km) | Hill et al. 2016[10] |
SuperfundDensWsRp100 | Density of Superfund sites within watershed and within a 100-m buffer of NHD stream lines (sites/square km) | Hill et al. 2016[10] |
SWs | Mean % of lithological sulfur (S) content in surface or near surface geology within watershed | Hill et al. 2016[10] |
Tidal | 1 indicates the waterbody is tidal, 0 indicates that it is not | US EPA & USGS 2012[5] |
TotDASqKm | Total cumulative area, in square kilometers | US EPA & USGS 2012[5] |
TRIDensWs | Density of TRI (Toxic Release Inventory) sites within watershed (sites/square km) | Hill et al. 2016[10] |
TRIDensWsRp100 | Density of TRI (Toxic Release Inventory) sites within watershed and within a 100-m buffer of NHD stream lines (sites/square km) | Hill et al. 2016[10] |
VE_MA | Mean annual velocity | US EPA & USGS 2012[5] |
VE_StDev | Standard deviation of monthly velocity | US EPA & USGS 2012[5] |
WetIndexCat | Mean Composite Topographic Index (CTI) [Wetness Index] within catchment | Hill et al. 2016[10] |
WetIndexWs | Mean Composite Topographic Index (CTI) [Wetness Index] within watershed | Hill et al. 2016[10] |
WHABT_v2_1 | Habitat provision component score calculated using watershed metrics | Hill et al. 2016[10] |
WHYD_v2_1 | Hydrologic regulation component score calculated using watershed metrics | Hill et al. 2016[10] |
WtDepWs | Mean seasonal water table depth (cm) of soils (STATSGO) within watershed | Hill et al. 2016[10] |
WTEMP_v2_1 | Temperature regulation component score calculated using watershed metrics | Hill et al. 2016[10] |
Note that the majority of these variables have been compiled by Hill et al. (2018)[13] in the LakeCat dataset. Original LakeCat data sources can be found at the LakeCat Metrics and Definitions page.
Name | Description | Citation |
---|---|---|
AgKffactCat | Mean of STATSGO Kffactor raster on agricultural land (NLCD 2006) within catchment. The Universal Soil Loss Equation (USLE) and represents a relative index of susceptibility of bare, cultivated soil to particle detachment and transport by rainfall | Hill et al. 2018[13] |
AgKffactWs | Mean of STATSGO Kffactor raster on agricultural land (NLCD 2006) within watershed The Universal Soil Loss Equation (USLE) and represents a relative index of susceptibility of bare, cultivated soil to particle detachment and transport by rainfall | Hill et al. 2018[13] |
Al2O3Cat | Mean % of lithological aluminum oxide (Al2O3) content in surface or near surface geology within catchment | Hill et al. 2018[13] |
Al2O3Ws | Mean % of lithological aluminum oxide (Al2O3) content in surface or near surface geology within watershed | Hill et al. 2018[13] |
AREASQKM | Waterbody area (sq km.) | US EPA & USGS 2012[5] |
BFIWs | Base flow is the component of streamflow that can be attributed to ground-water discharge into streams. The BFI is the ratio of base flow to total flow, expressed as a percentage, within watershed | Hill et al. 2018[13] |
Bioclimatic variables (BIOXX_*) are assigned by calculating the mean values per catchment and extracting the values to waterbody center points within those catchments. | ||
BIO01_MeanTemp | Annual mean temperature | Fick & Hijmans 2017[2], calculated using 1990 - 2020 climate normals[1] |
BIO02_MeanDiurnalRange | Mean diurnal range (mean of monthly (max temp - min temp)) | Fick & Hijmans 2017[2], calculated using 1990 - 2020 climate normals[1] |
BIO03_Isothermality | Isothermality ((BIO2/BIO7) x100) | Fick & Hijmans 2017[2], calculated using 1990 - 2020 climate normals[1] |
BIO04_Temp_StDev | Temperature seasonality (standard deviation x100) | Fick & Hijmans 2017[2], calculated using 1990 - 2020 climate normals[1] |
BIO05_MaxTemp | Max temperature of warmest month | Fick & Hijmans 2017[2], calculated using 1990 - 2020 climate normals[1] |
BIO06_MinTemp | Min temperature of coldest month | Fick & Hijmans 2017[2], calculated using 1990 - 2020 climate normals[1] |
BIO07_AnnTempRange | Temperature annual range (BIO5-BIO6) | Fick & Hijmans 2017[2], calculated using 1990 - 2020 climate normals[1] |
BIO08_MeanTemp_WetQuarter | Mean temperature of wettest quarter | Fick & Hijmans 2017[2], calculated using 1990 - 2020 climate normals[1] |
BIO09_MeanTemp_DryQuarter | Mean temperature of driest quarter | Fick & Hijmans 2017[2], calculated using 1990 - 2020 climate normals[1] |
BIO10_WarmestQuarterTemp | Mean temperature of warmest quarter | Fick & Hijmans 2017[2], calculated using 1990 - 2020 climate normals[1] |
BIO11_ColdestQuarterTemp | Mean temperature of coldest quarter | Fick & Hijmans 2017[2], calculated using 1990 - 2020 climate normals[1] |
BIO12_AnnPrecip | Annual precipitation | Fick & Hijmans 2017[2], calculated using 1990 - 2020 climate normals[1] |
BIO13_MaxPrecipMonth | Precipitation of wettest month | Fick & Hijmans 2017[2], calculated using 1990 - 2020 climate normals[1] |
BIO14_MinPrecipMonth | Precipitation of driest month | Fick & Hijmans 2017[2], calculated using 1990 - 2020 climate normals[1] |
BIO15_PrecipSeasonality | Precipitation seasonality (coefficient of variation) | Fick & Hijmans 2017[2], calculated using 1990 - 2020 climate normals[1] |
BIO16_MaxPrecipQuarter | Precipitation of wettest quarter | Fick & Hijmans 2017[2], calculated using 1990 - 2020 climate normals[1] |
BIO17_MinPrecipQuarter | Precipitation of driest quarter | Fick & Hijmans 2017[2], calculated using 1990 - 2020 climate normals[1] |
BIO18_PrecipWarmQuarter | Precipitation of warmest quarter | Fick & Hijmans 2017[2], calculated using 1990 - 2020 climate normals[1] |
BIO19_PrecipColdQuarter | Precipitation of coldest quarter | Fick & Hijmans 2017[2], calculated using 1990 - 2020 climate normals[1] |
CanalDensWs | Density of NHDPlus line features classified as canal, ditch, or pipeline within the upstream watershed (km/ square km) | Hill et al. 2018[13] |
CaOCat | Mean % of lithological calcium oxide (CaO) content in surface or near surface geology within catchment | Hill et al. 2018[13] |
CaOWs | Mean % of lithological calcium oxide (CaO) content in surface or near surface geology within watershed | Hill et al. 2018[13] |
ClayCat | Mean % clay content of soils (STATSGO) within catchment | Hill et al. 2018[13] |
ClayWs | Mean % clay content of soils (STATSGO) within watershed | Hill et al. 2018[13] |
CompStrgthWs | Mean lithological uniaxial compressive strength (megaPascals) content in surface or near surface geology within watershed | Hill et al. 2018[13] |
Connected | Shows whether or not waterbody is interscted by NHDFlowlines that receive flow from neighboring HUC12s (1 = yes, 0 = no) | US EPA & USGS 2012[5] |
DamDensWs | Density of georeferenced dams within watershed (dams/ square km) | Hill et al. 2018[13] |
DamNrmStorWs | Volume all reservoirs (NORM_STORA in NID) per unit area of watershed (cubic meters/square km) | Hill et al. 2018[13] |
Elevation_m | Average elevation within waterbody | USGS 2014[7] |
EPA_AquaticHabitatBin | US EPA & USGS 2012[5] | |
FCODE | Waterbody type (play, lake/pond, inundation, reservoirs, swamp/marsh, estuary) | US EPA & USGS 2012[5] |
Fe2O3Cat | Mean % of lithological ferric oxide (Fe2O3) content in surface or near surface geology within catchment | Hill et al. 2018[13] |
Fe2O3Ws | Mean % of lithological ferric oxide (Fe2O3) content in surface or near surface geology within watershed | Hill et al. 2018[13] |
FertWs | Mean rate of synthetic nitrogen fertilizer application to agricultural land in kg N/ha/yr, within watershed | Hill et al. 2018[13] |
Flowline_NEAR_DIST | Distance to nearest NHD flowline | US EPA & USGS 2012[5] |
Frac_Barren | Fraction of area within 100m buffer of waterbody classified as barren (NLCD 2019 class 31) | Dewitz 2024[12] |
Frac_Cultivated | Fraction of area within 100m buffer of waterbody classified as cultivated (NLCD 2019 class 82) | Dewitz 2024[12] |
Frac_Developed | Fraction of area within 100m buffer of waterbody classified as developed open space, developed low, developed medium, developed high (NLCD classes 21, 22, 23, 24) | Dewitz 2024[12] |
Frac_Forest | Fraction of area within 100m buffer of waterbody classified as deciduous forest, evergreen forest, or mixed forest (NLCD 2019 classes 41, 42, 43) | Dewitz 2024[12] |
Frac_Pasture | Fraction of area within 100m buffer of waterbody classified as pasture/hay (NLCD 2019 class 81) | Dewitz 2024[12] |
Frac_ShrubHerb | Fraction of area within 100m buffer of waterbody classified as shrub/scrub or grassland/herbaceous (NLCD 2019 classes 52, 71) | Dewitz 2024[12] |
Frac_Water | Fraction of area within 100m buffer of waterbody classified as water (NLCD 2019 class 11) | Dewitz 2024[12] |
Frac_Wetland | Fraction of area within 100m buffer of waterbody classified as woody wetlands or herbaeous wetlands (NLCD 2019 classes 90, 95) | Dewitz 2024[12] |
HUDen2010Cat | Mean housing unit density (housing units/square km) within catchment | Hill et al. 2018[13] |
HUDen2010Ws | Mean housing unit density (housing units/square km) within watershed | Hill et al. 2018[13] |
HydrlCondWs | Mean lithological hydraulic conductivity (micrometers per second) content in surface or near surface geology within watershed | Hill et al. 2018[13] |
InorgNWetDep_2008Cat | Annual gradient map of preciptiation-weighted mean deposition for inorganic nitrogen wet deposition from nitrate and ammonium for 2008 in kg of N/ha/yr, within catchment | Hill et al. 2018[13] |
InorgNWetDep_2008Ws | Annual gradient map of preciptiation-weighted mean deposition for inorganic nitrogen wet deposition from nitrate and ammonium for 2008 in kg of N/ha/yr, within watershed | Hill et al. 2018[13] |
K2OCat | Mean % of lithological potassium oxide (K2O) content in surface or near surface geology within catchment | Hill et al. 2018[13] |
K2OWs | Mean % of lithological potassium oxide (K2O) content in surface or near surface geology within watershed | Hill et al. 2018[13] |
KffactCat | Mean of STATSGO Kffactor raster within catchment. The Universal Soil Loss Equation (USLE) and represents a relative index of susceptibility of bare, cultivated soil to particle detachment and transport by rainfall | Hill et al. 2018[13] |
KffactWs | Mean of STATSGO Kffactor raster within watershed. The Universal Soil Loss Equation (USLE) and represents a relative index of susceptibility of bare, cultivated soil to particle detachment and transport by rainfall | Hill et al. 2018[13] |
Length_div_Area | Waterbody perimeter length divided by waterbody area | US EPA & USGS 2012[5] |
ManureWs | Mean rate of manure application to agricultural land from confined animal feeding operations in kg N/ha/yr, within watershed | Hill et al. 2018[13] |
MgOCat | Mean % of lithological magnesium oxide (MgO) content in surface or near surface geology within catchment | Hill et al. 2018[13] |
MgOWs | Mean % of lithological magnesium oxide (MgO) content in surface or near surface geology within watershed | Hill et al. 2018[13] |
MineDensCat | Density of mines sites within catchment (mines/square km) | Hill et al. 2018[13] |
MineDensWs | Density of mines sites within watershed (mines/square km) | Hill et al. 2018[13] |
Na2OCat | Mean % of lithological sodium oxide (Na2O) content in surface or near surface geology within catchment | Hill et al. 2018[13] |
Na2OWs | Mean % of lithological sodium oxide (Na2O) content in surface or near surface geology within watershed | Hill et al. 2018[13] |
NABD_DensCat | Density of georeferenced dams within catchment (dams/ square km) | Hill et al. 2018[13] |
NABD_DensWs | Density of georeferenced dams within watershed (dams/ square km) | Hill et al. 2018[13] |
NABD_NrmStorWs | Volume all reservoirs (NORM_STORA in NID) per unit area of watershed (cubic meters/square km) | Hill et al. 2018[13] |
NCat | Mean % of lithological nitrogen (N) content in surface or near surface geology within catchment | Hill et al. 2018[13] |
NH4_2008Cat | Annual gradient map of preciptiation-weighted mean deposition for ammonium ion concentration wet deposition for 2008 in kg of NH4/ha/yr, within catchment | Hill et al. 2018[13] |
NH4_2008Ws | Annual gradient map of preciptiation-weighted mean deposition for ammonium ion concentration wet deposition for 2008 in kg of NH4/ha/yr, within watershed | Hill et al. 2018[13] |
NO3_2008Cat | Annual gradient map of preciptiation-weighted mean deposition for nitrate ion concentration wet deposition for 2008 in kg of NO3/ha/yr, within catchment | Hill et al. 2018[13] |
NO3_2008Ws | Annual gradient map of preciptiation-weighted mean deposition for nitrate ion concentration wet deposition for 2008 in kg of NO3/ha/yr, within watershed | Hill et al. 2018[13] |
NPDESDensWs | Density of permitted NPDES (National Pollutant Discharge Elimination System) sites within watershed (sites/square km) | Hill et al. 2018[13] |
NWs | Mean % of lithological nitrogen (N) content in surface or near surface geology within watershed | Hill et al. 2018[13] |
OmCat | Mean organic matter content (% by weight) of soils (STATSGO) within catchment | Hill et al. 2018[13] |
OmWs | Mean organic matter content (% by weight) of soils (STATSGO) within watershed | Hill et al. 2018[13] |
ONOFFNET | Shows whether or not waterbody is interscted by NHDFlowlines (1 = yes, 0 = no) | US EPA & USGS 2012[5] |
P2O5Cat | Mean % of lithological phosphorous oxide (P2O5) content in surface or near surface geology within catchment | Hill et al. 2018[13] |
P2O5Ws | Mean % of lithological phosphorous oxide (P2O5) content in surface or near surface geology within watershed | Hill et al. 2018[13] |
PctAg2006Slp10Ws | % of watershed area classified as ag land cover (NLCD 2006 classes 81-82) occurring on slopes > 10% | Hill et al. 2018[13] |
PctAg2006Slp20Ws | % of watershed area classified as ag land cover (NLCD 2006 classes 81-82) occurring on slopes > 20% | Hill et al. 2018[13] |
PctAlkIntruVolCat | % of catchment area classified as lithology type: alkaline intrusive volcanic rock | Hill et al. 2018[13] |
PctAlkIntruVolWs | % of watershed area classified as as lithology type: alkaline intrusive volcanic rock | Hill et al. 2018[13] |
PctAlluvCoastCat | % of catchment area classified as lithology type: alluvium and fine-textured coastal zone sediment | Hill et al. 2018[13] |
PctAlluvCoastWs | % of watershed area classified as as lithology type: alluvium and fine-textured coastal zone sediment | Hill et al. 2018[13] |
PctCarbResidCat | % of catchment area classified as lithology type: carbonate residual material | Hill et al. 2018[13] |
PctCarbResidWs | % of watershed area classified as as lithology type: carbonate residual material | Hill et al. 2018[13] |
PctCoastCrsCat | % of catchment area classified as lithology type: coastal zone sediment, coarse-textured | Hill et al. 2018[13] |
PctCoastCrsWs | % of watershed area classified as as lithology type: coastal zone sediment, coarse-textured | Hill et al. 2018[13] |
PctColluvSedCat | % of catchment area classified as lithology type: colluvial sediment | Hill et al. 2018[13] |
PctColluvSedWs | % of watershed area classified as as lithology type: colluvial sediment | Hill et al. 2018[13] |
PctEolCrsCat | % of catchment area classified as lithology type: eolian sediment, coarse-textured (sand dunes) | Hill et al. 2018[13] |
PctEolCrsWs | % of watershed area classified as as lithology type: eolian sediment, coarse-textured (sand dunes) | Hill et al. 2018[13] |
PctEolFineCat | % of catchment area classified as lithology type: eolian sediment, fine-textured (glacial loess) | Hill et al. 2018[13] |
PctEolFineWs | % of watershed area classified as as lithology type: eolian sediment, fine-textured (glacial loess) | Hill et al. 2018[13] |
PctExtruVolCat | % of catchment area classified as lithology type: extrusive volcanic rock | Hill et al. 2018[13] |
PctExtruVolWs | % of watershed area classified as as lithology type: extrusive volcanic rock | Hill et al. 2018[13] |
PctFire2010Ws | % Forest loss to fire (fire perimeter) for 2010 within watershed | Hill et al. 2018[13] |
PctFrstLoss2013Ws | % Forest cover loss (Tree canopy cover change) for 2013 within watershed | Hill et al. 2018[13] |
PctGlacLakeCrsCat | % of catchment area classified as lithology type: glacial outwash and glacial lake sediment, coarse-textured | Hill et al. 2018[13] |
PctGlacLakeCrsWs | % of watershed area classified as as lithology type: glacial outwash and glacial lake sediment, coarse-textured | Hill et al. 2018[13] |
PctGlacLakeFineCat | % of catchment area classified as lithology type: glacial lake sediment, fine-textured | Hill et al. 2018[13] |
PctGlacLakeFineWs | % of watershed area classified as as lithology type: glacial lake sediment, fine-textured | Hill et al. 2018[13] |
PctGlacTilClayCat | % of catchment area classified as lithology type: glacial till, clayey | Hill et al. 2018[13] |
PctGlacTilClayWs | % of watershed area classified as as lithology type: glacial till, clayey | Hill et al. 2018[13] |
PctGlacTilCrsCat | % of catchment area classified as lithology type: glacial till, coarse-textured | Hill et al. 2018[13] |
PctGlacTilCrsWs | % of watershed area classified as as lithology type: glacial till, coarse-textured | Hill et al. 2018[13] |
PctGlacTilLoamCat | % of catchment area classified as lithology type: glacial till, loamy | Hill et al. 2018[13] |
PctGlacTilLoamWs | % of watershed area classified as as lithology type: glacial till, loamy | Hill et al. 2018[13] |
PctHydricCat | % of catchment area classified as lithology type: hydric, peat and muck | Hill et al. 2018[13] |
PctHydricWs | % of watershed area classified as as lithology type: hydric, peat and muck | Hill et al. 2018[13] |
PctImp2019Cat | Mean imperviousness of anthropogenic surfaces within catchment (NLCD 2019) | Hill et al. 2018[13] |
PctImp2019Ws | Mean imperviousness of anthropogenic surfaces within watershed (NLCD 2019) | Hill et al. 2018[13] |
PctNonAgIntrodManagVegCat | % Nonagriculture nonnative introduced or managed vegetation landcover type reclassed from LANDFIRE Existing Vegetation Type (EVT), within catchment | Hill et al. 2018[13] |
PctNonAgIntrodManagVegWs | % Nonagriculture nonnative introduced or managed vegetation landcover type reclassed from LANDFIRE Existing Vegetation Type (EVT), within watershed | Hill et al. 2018[13] |
PctNonCarbResidCat | % of catchment area classified as lithology type: non-carbonate residual material | Hill et al. 2018[13] |
PctNonCarbResidWs | % of watershed area classified as as lithology type: non-carbonate residual material | Hill et al. 2018[13] |
PctSalLakeCat | % of catchment area classified as lithology type: saline like sediment | Hill et al. 2018[13] |
PctSalLakeWs | % of watershed area classified as as lithology type: saline like sediment | Hill et al. 2018[13] |
PctSilicicCat | % of catchment area classified as lithology type: silicic residual material | Hill et al. 2018[13] |
PctSilicicWs | % of watershed area classified as as lithology type: silicic residual material | Hill et al. 2018[13] |
PctWaterCat | % of catchment area classified as lithology type: water | Hill et al. 2018[13] |
PermCat | Mean permeability (cm/hour) of soils (STATSGO) within catchment | Hill et al. 2018[13] |
PermWs | Mean permeability (cm/hour) of soils (STATSGO) within watershed | Hill et al. 2018[13] |
PopDen2010Cat | Mean populating density (people/square km) within catchment | Hill et al. 2018[13] |
PopDen2010Ws | Mean populating density (people/square km) within watershed | Hill et al. 2018[13] |
RckdepCat | Mean depth (cm) to bedrock of soils (STATSGO) within catchment | Hill et al. 2018[13] |
RckdepWs | Mean depth (cm) to bedrock of soils (STATSGO) within watershed | Hill et al. 2018[13] |
RdCrsWs | Density of roads-stream intersections (2010 Census Tiger Lines-NHD stream lines) within watershed (crossings/square km) | Hill et al. 2018[13] |
RdDensCat | Density of roads (2010 Census Tiger Lines) within catchment (km/square km) | Hill et al. 2018[13] |
RdDensWs | Density of roads (2010 Census Tiger Lines) within watershed (km/square km) | Hill et al. 2018[13] |
RunoffCat | Mean runoff (mm) within catchment | Hill et al. 2018[13] |
RunoffWs | Mean runoff (mm) within watershed | Hill et al. 2018[13] |
SandCat | Mean % sand content of soils (STATSGO) within catchment | Hill et al. 2018[13] |
SandWs | Mean % sand content of soils (STATSGO) within watershed | Hill et al. 2018[13] |
SCat | Mean % of lithological sulfur (S) content in surface or near surface geology within catchment | Hill et al. 2018[13] |
Shape_Area | Waterbody surface area | US EPA & USGS 2012[5] |
Shape_Length | Waterbody perimeter length | US EPA & USGS 2012[5] |
SiO2Cat | Mean % of lithological silicon dioxide (SiO2) content in surface or near surface geology within catchment | Hill et al. 2018[13] |
SiO2Ws | Mean % of lithological silicon dioxide (SiO2) content in surface or near surface geology within watershed | Hill et al. 2018[13] |
SN_2008Cat | Annual gradient map of preciptiation-weighted mean deposition for average sulfur & nitrogen wet deposition for 2008 in kg of S+N/ha/yr, within catchment | Hill et al. 2018[13] |
SN_2008Ws | Annual gradient map of preciptiation-weighted mean deposition for average sulfur & nitrogen wet deposition for 2008 in kg of S+N/ha/yr, within watershed | Hill et al. 2018[13] |
SuperfundDensWs | Density of Superfund sites within watershed (sites/square km) | Hill et al. 2018[13] |
SWs | Mean % of lithological sulfur (S) content in surface or near surface geology within watershed | Hill et al. 2018[13] |
TRIDensWs | Density of TRI (Toxic Release Inventory) sites within watershed (sites/square km) | Hill et al. 2018[13] |
WetIndexCat | Mean Composite Topographic Index (CTI)[Wetness Index] within catchment | Hill et al. 2018[13] |
WetIndexWs | Mean Composite Topographic Index (CTI)[Wetness Index] within watershed | Hill et al. 2018[13] |
WtDepCat | Mean seasonal water table depth (cm) of soils (STATSGO) within catchment | Hill et al. 2018[13] |
WtDepWs | Mean seasonal water table depth (cm) of soils (STATSGO) within watershed | Hill et al. 2018[13] |
1. PRISM Climate Group, Oregon State University, https://prism.oregonstate.edu, data created November 2021, accessed August 2022.
2. Fick SE, Hijmans RJ. (2017). WorldClim 2: new 1-km spatial resolution climate surfaces for global land areas. International Journal of Climatology. 37(12):4302-4315. https://doi.org/10.1002/joc.5086
3. Karger, D.N., Conrad, O., Böhner, J., Kawohl, T., Kreft, H., Soria-Auza, R.W., Zimmermann, N.E., Linder, P., Kessler, M. (2017): Climatologies at high resolution for the Earth land surface areas. Scientific Data. 4 170122. https://doi.org/10.1038/sdata.2017.122
4. Karger D.N., Conrad, O., Böhner, J., Kawohl, T., Kreft, H., Soria-Auza, R.W., Zimmermann, N.E, Linder, H.P., Kessler, M. (2018): Data from: Climatologies at high resolution for the earth's land surface areas. EnviDat. https://doi.org/10.16904/envidat.228.v2.1
5. US EPA, & USGS. (2012). National Hydrography Dataset Plus—NHDPlus (2.1) [dataset].
6. Tuanmu, M.-N., & Jetz, W. (2015). A global, remote sensing-based characterization of terrestrial habitat heterogeneity for biodiversity and ecosystem modelling. Global Ecology and Biogeography, 24(11), 1329–1339. https://doi.org/10.1111/geb.12365
7. USGS. (2018). National Elevation Dataset [dataset]. https://ca.water.usgs.gov/projects/sandiego/data/gis/dem/ned13/NED_DataDictionary.pdf
8. Multi-Resolution Land Characteristics Consortium. (2021). NLCD 2016 Land Cover (CONUS) | Multi-Resolution Land Characteristics (MRLC) Consortium. https://www.mrlc.gov/data/nlcd-2016-land-cover-conus
9. United States Department of Agriculture. (2022) Soil Survey Geographic (SSURGO) Database. https://sdmdataaccess.sc.egov.usda.gov. Accessed November 2022.
10. Hill, R. A., Weber, M. H., Leibowitz, S. G., Olsen, A. R., & Thornbrugh, D. J. (2016). The Stream‐Catchment (StreamCat) Dataset: A Database of Watershed Metrics for the Conterminous United States. JAWRA Journal of the American Water Resources Association, 52(1), 120–128. https://doi.org/10.1086/697966
11. Abeshu, G. W., Li, H. Y., Zhu, Z., Tan, Z., & Leung, L. R. (2022). Median bed-material sediment particle size across rivers in the contiguous US. Earth System Science Data, 14(2), 929-942. https://doi.org/10.5194/essd-14-929-2022
12. Dewitz, J. (2024). National Land Cover Database (NLCD) 2019 Products (ver. 3.0, February 2024) [dataset]. https://doi.org/10.5066/P9KZCM54
13. Hill, R. A., Weber, M. H., Debbout, R. M., Leibowitz, S. G., & Olsen, A. R. (2018). The Lake-Catchment (LakeCat) Dataset: Characterizing landscape features for lake basins within the conterminous USA. Freshwater Science, 37(2), 208–221. https://doi.org/10.1086/697966