User Guide

Automated Probabilistic Co-Occurrence Assessment Tool

Version 2.1 - 2024


Table of Contents

  1. Terrestrial Predictor Variables
  2. Flowing Aquatic Predictor Variables
  3. Static Aquatic Predictor Variables
  4. References

Foreword

 In 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.



1. Terrestrial Predictor Variables

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
1 - water
2 - developed
3 - barren
4 - forest
5 - shrub/herb
6 - pasture/hay
7 - cultivated
8 - wetland
Multi-Resolution Land Characteristics Consortium 2021[8]
soilTexture_gSSURGO_2019 Aggregated soil texture classes
Value Texture
1 Artifacts
2 Coarse sand
3 Loam
4 Clay loam
5 Coarse sandy loam
6 Fine sandy loam
7 Silt loam
8 Sandy loam
9 Loamy fine sand
10 Loamy sand
11 Loamy very fine sand
12 Sand
13 Silty clay
14 Silty clay loam
15 Very fine sandy loam
16 Bedrock
17 Boulders
18 Clay
19 Loamy coarse sand
20 Slightly decomposed plant material
21 Fine sand
22 Cobbles
23 Very fine sand
24 Highly decomposed plant material
25 Moderately decomposed plant material
26 Peat
27 Sandy clay loam
28 Muck
29 Material
30 Cinders
31 Consolidated permafrost
32 Fine gypsum material
33 Fragmental material
34 Gravel
35 Silt
36 Gypsiferous material
38 0
39 Sandy clay
40 Stones
41 Unweathered bedrock
42 Variable
43 Water
United States Department of Agriculture[9]


2. Flowing Aquatic Predictor Variables

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
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]
Fe2O3WsMean % of lithological ferric oxide (Fe2O3) content in surface or near surface geology within watershedHill et al. 2016[10]
FertWsMean rate of synthetic nitrogen fertilizer application to agricultural land in kg N/ha/yr, within watershedHill et al. 2016[10]
Frac_BarrenFraction of area within 100m buffer of flowline classified as barren (NLCD 2019 class 31)Dewitz 2024[12]
Frac_CultivatedFraction of area within 100m buffer of flowline classified as cultivated (NLCD 2019 class 82)Dewitz 2024[12]
Frac_DevelopedFraction 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_ForestFraction 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_PastureFraction of area within 100m buffer of flowline classified as pasture/hay (NLCD 2019 class 81)Dewitz 2024[12]
Frac_ShrubHerbFraction of area within 100m buffer of flowline classified as shrub/scrub or grassland/herbaceous (NLCD 2019 classes 52, 71)Dewitz 2024[12]
Frac_WaterFraction of area within 100m buffer of flowline classified as water (NLCD 2019 class 11)Dewitz 2024[12]
Frac_WetlandFraction of area within 100m buffer of flowline classified as woody wetlands or herbaeous wetlands (NLCD 2019 classes 90, 95)Dewitz 2024[12]
HUDen2010WsMean housing unit density (housing units/square km) within watershedHill et al. 2016[10]
HydrlCondWsMean lithological hydraulic conductivity (micrometers per second) content in surface or near surface geology within watershedHill et al. 2016[10]
InorgNWetDep_2008WsAnnual 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 watershedHill et al. 2016[10]
IWI_v2_1Revised ndex of watershed integrity (version 2.1) based on Johnson et al. 2018 STOTENHill et al. 2016[10]
K2OWsMean % of lithological potassium oxide (K2O) content in surface or near surface geology within watershedHill et al. 2016[10]
KffactWsMean 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]
Mainline1 indicates the waterbody is receives flow from a neighboring HUC12, 0 indicates that it does notNHDPlus flowlines[5]
ManureWsMean rate of manure application to agricultural land from confined animal feeding operations in kg N/ha/yr, within watershedHill et al. 2016[10]
MAXELEVSMOElevation (m)NHDPlus flowlines[5]
MaxFlow_QuarterTempAverage air temperature during the four month period with the highest monthly flow ratesUS EPA & USGS 2012[5], Fick & Hijmans 2017[2], calculated using 1990 - 2020 climate normals[1]
MgOWsMean % of lithological magnesium oxide (MgO) content in surface or near surface geology within watershedHill et al. 2016[10]
MineDensWsDensity of mine sities within watershed (mines/square km)Hill et al. 2016[10]
MineDensWsRp100Density of mine sites within watershed and within 100-m buffer of NHD stream lines (mines/square km)Hill et al. 2016[10]
MinFlow_QuarterTempAverage air temperature during the four month period with the lowest monthly flow ratesUS EPA & USGS 2012[5], Fick & Hijmans 2017[2], calculated using 1990 - 2020 climate normals[1]
Na2OWsMean % of lithological sodium oxide (Na2O) content in surface or near surface geology within watershedHill et al. 2016[10]
NABD_DensWsDensity 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_NIDStorWsVolume all reservoirs (NID_STORA in NID) within watershed (cubic meters/square km)Hill et al. 2016[10]
NABD_NrmStorWsNormal (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_intNational 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 = XericHill et al. 2016[10]
NH4_2008WsAnnual gradient map of precipitation-weighted mean deposition for ammonium ion concentration wet deposition for 2008 in kg of NH4/ha/yr, within watershedHill et al. 2016[10]
NO3_2008WsAnnual gradient map of precipitation-weighted mean deposition for nitrate ion concentration wet deposition for 2008 in kg of NO3/ha/yr, within watershedHill et al. 2016[10]
NPDESDensWsDensity of permitted NPDES (National Pollutant Discharge Elimination System) sites within watershed (sites/square km)Hill et al. 2016[10]
NPDESDensWsRp100Density 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]
NWsMean % of lithological nitrogen (N) content in surface or near surface geology within watershedHill et al. 2016[10]
OmCatMean organic matter content (% by weight) of soils (STATSGO) within catchment Hill et al. 2016[10]
OmWsMean organic matter content (% by weight) of soils (STATSGO) within watershedHill et al. 2016[10]
P2O5WsMean % of lithological phosphorous oxide (P2O5) content in surface or near surface geology within watershedHill 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 sedimentHill 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 streamsHill et al. 2016[10]
PctCarbResidWs% of watershed area classified as lithology type: carbonate residual materialHill et al. 2016[10]
PctColluvSedWs% of watershed area classified as lithology type: colluvial sedimentHill 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 streamsHill 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 streamsHill 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 streamsHill 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 watershedHill 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 streamsAdapted from Hill et al. 2016[10]
PctFrstLoss2013Ws% Forest cover loss (Tree canopy cover change) for 2013 within watershedHill 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-texturedHill et al. 2016[10]
PctGlacLakeFineWs% of watershed area classified as lithology type: glacial lake sediment, fine-texturedHill et al. 2016[10]
PctGlacTilClayWs% of watershed area classified as lithology type: glacial till, clayeyHill et al. 2016[10]
PctGlacTilCrsWs% of watershed area classified as lithology type: glacial till, coarse-texturedHill et al. 2016[10]
PctGlacTilLoamWs% of watershed area classified as lithology type: glacial till, loamyHill 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 streamsHill 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 streamsHill 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 streamsHill et al. 2016[10]
PctHydricWs% of watershed area classified as lithology type: hydric, peat and muckHill 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 streamsHill et al. 2016[10]
PctImp2019CatMean imperviousness of anthropogenic surfaces (NLCD 2019) within catchment Hill et al. 2016[10]
PctImp2019CatRp100Mean imperviousness of anthropogenic surfaces (NLCD 2019) within catchment and within a 100-m buffer of NHD stream linesHill et al. 2016[10]
PctImp2019WsMean imperviousness of anthropogenic surfaces (NLCD 2019) within watershedHill et al. 2016[10]
PctImp2019WsRp100Mean imperviousness of anthropogenic surfaces (NLCD 2019) within watershed and within a 100-m buffer of NHD stream linesHill 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 streamsHill et al. 2016[10]
PctNonAgIntrodManagVegWs% Nonagriculture nonnative introduced or managed vegetation landcover type reclassed from LANDFIRE Existing Vegetation Type (EVT), within watershedHill 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 linesHill et al. 2016[10]
PctNonCarbResidWs% of watershed area classified as lithology type: non-carbonate residual materialHill 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 streamsHill et al. 2016[10]
PctSalLakeWs% of watershed area classified as lithology type: saline like sedimentHill 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 streamsHill 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 streamsAdapted from Hill et al. 2016[10]
PctSilicicWs% of watershed area classified as lithology type: silicic residual materialHill 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 streamsHill 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 streamsHill 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 streamsHill 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 streamsHill 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 streamsHill 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 streamsHill 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 streamsAdapted from Hill et al. 2016[10]
PermWsMean permeability (cm/hour) of soils (STATSGO) within watershedHill et al. 2016[10]
Pestic97WsMean pesticide use (kg/km2) in yr. 1997 within watershedHill et al. 2016[10]
PopDen2010WsMean population density (people/square km) within watershedHill et al. 2016[10]
PopDen2010WsRp100Mean population density (people/square km) within watershed and within a 100-m buffer of NHD stream linesHill et al. 2016[10]
QE_Coldest_MeanAverage flow rate during the coldest three month period of the yearUS EPA & USGS 2012[5], Fick & Hijmans 2017[2], calculated using 1990 - 2020 climate normals[1]
QE_Driest_MeanAverage flow rate during the driest three month period of the yearUS EPA & USGS 2012[5], Fick & Hijmans 2017[2], calculated using 1990 - 2020 climate normals[1]
QE_MAMean annual flow rateUS EPA & USGS 2012[5]
QE_MaxMaximum monthly flow rateUS EPA & USGS 2012[5]
QE_MaxFlow_QuarterThree month period during which the highest average flow rate is observedUS EPA & USGS 2012[5]
QE_MinMinimum monthly flow rateUS EPA & USGS 2012[5]
QE_MinFlow_QuarterThree month period during which the lowest average flow rate is observedUS EPA & USGS 2012[5]
QE_RangeRange of monthly flow ratesUS EPA & USGS 2012[5]
QE_StDevStandard deviation of monthly flow ratesUS EPA & USGS 2012[5]
QE_Warmest_MeanAverage flow rate during the warmest three month period of the yearUS EPA & USGS 2012[5], Fick & Hijmans 2017[2], calculated using 1990 - 2020 climate normals[1]
QE_Wettest_MeanAverage flow rate during the wettest three month period of the yearUS EPA & USGS 2012[5], Fick & Hijmans 2017[2], calculated using 1990 - 2020 climate normals[1]
RckDepWsMean depth (cm) to bedrock of soils (STATSGO) within watershedHill et al. 2016[10]
RdCrsSlpWtdCatDensity 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]
RdCrsSlpWtdWsDensity 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]
RdCrsWsDensity of roads-stream intersections (2010 Census Tiger Lines-NHD stream lines) within watershed (crossings/square km)Hill et al. 2016[10]
RdDensWsDensity of roads (2010 Census Tiger Lines) within watershed (km/square km)Hill et al. 2016[10]
RdDensWsRp100Density 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]
RunoffWsMean runoff (mm) within watershedHill et al. 2016[10]
SandWsMean % sand content of soils (STATSGO) within watershedHill et al. 2016[10]
SinuositySinuosity of the flowline geometry, calculated as (flowline length/distance between flowline endpoints)Adapted from US EPA & USGS 2012[5]
SiO2WsMean % of lithological silicon dioxide (SiO2) content in surface or near surface geology within watershedHill et al. 2016[10]
SLOPESlope of the flowline from smoothed elevation (unitless)US EPA & USGS 2012[5]
SN_2008WsAnnual mean sulfur and nitrogen wet deposition for 2008 within watershedHill et al. 2016[10]
StreamCalcStream orderUS EPA & USGS 2012[5]
SuperfundDensWsDensity of Superfund sites within watershed (sites/square km)Hill et al. 2016[10]
SuperfundDensWsRp100Density of Superfund sites within watershed and within a 100-m buffer of NHD stream lines (sites/square km)Hill et al. 2016[10]
SWsMean % of lithological sulfur (S) content in surface or near surface geology within watershedHill et al. 2016[10]
Tidal1 indicates the waterbody is tidal, 0 indicates that it is notUS EPA & USGS 2012[5]
TotDASqKmTotal cumulative area, in square kilometersUS EPA & USGS 2012[5]
TRIDensWsDensity of TRI (Toxic Release Inventory) sites within watershed (sites/square km)Hill et al. 2016[10]
TRIDensWsRp100Density 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_MAMean annual velocityUS EPA & USGS 2012[5]
VE_StDevStandard deviation of monthly velocityUS EPA & USGS 2012[5]
WetIndexCatMean Composite Topographic Index (CTI) [Wetness Index] within catchmentHill et al. 2016[10]
WetIndexWsMean Composite Topographic Index (CTI) [Wetness Index] within watershedHill et al. 2016[10]
WHABT_v2_1Habitat provision component score calculated using watershed metricsHill et al. 2016[10]
WHYD_v2_1Hydrologic regulation component score calculated using watershed metricsHill et al. 2016[10]
WtDepWsMean seasonal water table depth (cm) of soils (STATSGO) within watershedHill et al. 2016[10]
WTEMP_v2_1Temperature regulation component score calculated using watershed metricsHill et al. 2016[10]


3. Static Aquatic Predictor Variables

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
AgKffactCatMean 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 rainfallHill et al. 2018[13]
AgKffactWsMean 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 rainfallHill et al. 2018[13]
Al2O3CatMean % of lithological aluminum oxide (Al2O3) content in surface or near surface geology within catchmentHill et al. 2018[13]
Al2O3WsMean % of lithological aluminum oxide (Al2O3) content in surface or near surface geology within watershedHill et al. 2018[13]
AREASQKMWaterbody area (sq km.)US EPA & USGS 2012[5]
BFIWsBase 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 watershedHill 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 temperatureFick & 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 monthFick & Hijmans 2017[2], calculated using 1990 - 2020 climate normals[1]
BIO06_MinTemp Min temperature of coldest monthFick & 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 quarterFick & Hijmans 2017[2], calculated using 1990 - 2020 climate normals[1]
BIO09_MeanTemp_DryQuarter Mean temperature of driest quarterFick & Hijmans 2017[2], calculated using 1990 - 2020 climate normals[1]
BIO10_WarmestQuarterTemp Mean temperature of warmest quarterFick & Hijmans 2017[2], calculated using 1990 - 2020 climate normals[1]
BIO11_ColdestQuarterTemp Mean temperature of coldest quarterFick & Hijmans 2017[2], calculated using 1990 - 2020 climate normals[1]
BIO12_AnnPrecip Annual precipitationFick & Hijmans 2017[2], calculated using 1990 - 2020 climate normals[1]
BIO13_MaxPrecipMonth Precipitation of wettest monthFick & Hijmans 2017[2], calculated using 1990 - 2020 climate normals[1]
BIO14_MinPrecipMonth Precipitation of driest monthFick & 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 quarterFick & Hijmans 2017[2], calculated using 1990 - 2020 climate normals[1]
BIO17_MinPrecipQuarter Precipitation of driest quarterFick & Hijmans 2017[2], calculated using 1990 - 2020 climate normals[1]
BIO18_PrecipWarmQuarter Precipitation of warmest quarterFick & Hijmans 2017[2], calculated using 1990 - 2020 climate normals[1]
BIO19_PrecipColdQuarter Precipitation of coldest quarterFick & Hijmans 2017[2], calculated using 1990 - 2020 climate normals[1]
 
CanalDensWsDensity of NHDPlus line features classified as canal, ditch, or pipeline within the upstream watershed (km/ square km)Hill et al. 2018[13]
CaOCatMean % of lithological calcium oxide (CaO) content in surface or near surface geology within catchmentHill et al. 2018[13]
CaOWsMean % of lithological calcium oxide (CaO) content in surface or near surface geology within watershedHill et al. 2018[13]
ClayCatMean % clay content of soils (STATSGO) within catchment Hill et al. 2018[13]
ClayWsMean % clay content of soils (STATSGO) within watershedHill et al. 2018[13]
CompStrgthWsMean lithological uniaxial compressive strength (megaPascals) content in surface or near surface geology within watershedHill et al. 2018[13]
ConnectedShows whether or not waterbody is interscted by NHDFlowlines that receive flow from neighboring HUC12s (1 = yes, 0 = no)US EPA & USGS 2012[5]
DamDensWsDensity of georeferenced dams within watershed (dams/ square km)Hill et al. 2018[13]
DamNrmStorWsVolume all reservoirs (NORM_STORA in NID) per unit area of watershed (cubic meters/square km)Hill et al. 2018[13]
Elevation_mAverage elevation within waterbodyUSGS 2014[7]
EPA_AquaticHabitatBin US EPA & USGS 2012[5]
FCODEWaterbody type (play, lake/pond, inundation, reservoirs, swamp/marsh, estuary)US EPA & USGS 2012[5]
Fe2O3CatMean % of lithological ferric oxide (Fe2O3) content in surface or near surface geology within catchmentHill et al. 2018[13]
Fe2O3WsMean % of lithological ferric oxide (Fe2O3) content in surface or near surface geology within watershedHill et al. 2018[13]
FertWsMean rate of synthetic nitrogen fertilizer application to agricultural land in kg N/ha/yr, within watershedHill et al. 2018[13]
Flowline_NEAR_DISTDistance to nearest NHD flowlineUS EPA & USGS 2012[5]
Frac_BarrenFraction of area within 100m buffer of waterbody classified as barren (NLCD 2019 class 31)Dewitz 2024[12]
Frac_CultivatedFraction of area within 100m buffer of waterbody classified as cultivated (NLCD 2019 class 82)Dewitz 2024[12]
Frac_DevelopedFraction 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_ForestFraction 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_PastureFraction of area within 100m buffer of waterbody classified as pasture/hay (NLCD 2019 class 81)Dewitz 2024[12]
Frac_ShrubHerbFraction of area within 100m buffer of waterbody classified as shrub/scrub or grassland/herbaceous (NLCD 2019 classes 52, 71)Dewitz 2024[12]
Frac_WaterFraction of area within 100m buffer of waterbody classified as water (NLCD 2019 class 11)Dewitz 2024[12]
Frac_WetlandFraction of area within 100m buffer of waterbody classified as woody wetlands or herbaeous wetlands (NLCD 2019 classes 90, 95)Dewitz 2024[12]
HUDen2010CatMean housing unit density (housing units/square km) within catchmentHill et al. 2018[13]
HUDen2010WsMean housing unit density (housing units/square km) within watershedHill et al. 2018[13]
HydrlCondWsMean lithological hydraulic conductivity (micrometers per second) content in surface or near surface geology within watershedHill et al. 2018[13]
InorgNWetDep_2008CatAnnual 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 catchmentHill et al. 2018[13]
InorgNWetDep_2008WsAnnual 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 watershedHill et al. 2018[13]
K2OCatMean % of lithological potassium oxide (K2O) content in surface or near surface geology within catchmentHill et al. 2018[13]
K2OWsMean % of lithological potassium oxide (K2O) content in surface or near surface geology within watershedHill et al. 2018[13]
KffactCatMean 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 rainfallHill et al. 2018[13]
KffactWsMean 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 rainfallHill et al. 2018[13]
Length_div_AreaWaterbody perimeter length divided by waterbody areaUS EPA & USGS 2012[5]
ManureWsMean rate of manure application to agricultural land from confined animal feeding operations in kg N/ha/yr, within watershedHill et al. 2018[13]
MgOCatMean % of lithological magnesium oxide (MgO) content in surface or near surface geology within catchmentHill et al. 2018[13]
MgOWsMean % of lithological magnesium oxide (MgO) content in surface or near surface geology within watershedHill et al. 2018[13]
MineDensCatDensity of mines sites within catchment (mines/square km)Hill et al. 2018[13]
MineDensWsDensity of mines sites within watershed (mines/square km)Hill et al. 2018[13]
Na2OCatMean % of lithological sodium oxide (Na2O) content in surface or near surface geology within catchmentHill et al. 2018[13]
Na2OWsMean % of lithological sodium oxide (Na2O) content in surface or near surface geology within watershedHill et al. 2018[13]
NABD_DensCatDensity of georeferenced dams within catchment (dams/ square km)Hill et al. 2018[13]
NABD_DensWsDensity of georeferenced dams within watershed (dams/ square km)Hill et al. 2018[13]
NABD_NrmStorWsVolume all reservoirs (NORM_STORA in NID) per unit area of watershed (cubic meters/square km)Hill et al. 2018[13]
NCatMean % of lithological nitrogen (N) content in surface or near surface geology within catchmentHill et al. 2018[13]
NH4_2008CatAnnual gradient map of preciptiation-weighted mean deposition for ammonium ion concentration wet deposition for 2008 in kg of NH4/ha/yr, within catchmentHill et al. 2018[13]
NH4_2008WsAnnual gradient map of preciptiation-weighted mean deposition for ammonium ion concentration wet deposition for 2008 in kg of NH4/ha/yr, within watershedHill et al. 2018[13]
NO3_2008CatAnnual gradient map of preciptiation-weighted mean deposition for nitrate ion concentration wet deposition for 2008 in kg of NO3/ha/yr, within catchmentHill et al. 2018[13]
NO3_2008WsAnnual gradient map of preciptiation-weighted mean deposition for nitrate ion concentration wet deposition for 2008 in kg of NO3/ha/yr, within watershedHill et al. 2018[13]
NPDESDensWsDensity of permitted NPDES (National Pollutant Discharge Elimination System) sites within watershed (sites/square km)Hill et al. 2018[13]
NWsMean % of lithological nitrogen (N) content in surface or near surface geology within watershedHill et al. 2018[13]
OmCatMean organic matter content (% by weight) of soils (STATSGO) within catchment Hill et al. 2018[13]
OmWsMean organic matter content (% by weight) of soils (STATSGO) within watershedHill et al. 2018[13]
ONOFFNETShows whether or not waterbody is interscted by NHDFlowlines (1 = yes, 0 = no)US EPA & USGS 2012[5]
P2O5CatMean % of lithological phosphorous oxide (P2O5) content in surface or near surface geology within catchmentHill et al. 2018[13]
P2O5WsMean % of lithological phosphorous oxide (P2O5) content in surface or near surface geology within watershedHill 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 rockHill et al. 2018[13]
PctAlkIntruVolWs% of watershed area classified as as lithology type: alkaline intrusive volcanic rockHill et al. 2018[13]
PctAlluvCoastCat% of catchment area classified as lithology type: alluvium and fine-textured coastal zone sedimentHill et al. 2018[13]
PctAlluvCoastWs% of watershed area classified as as lithology type: alluvium and fine-textured coastal zone sedimentHill et al. 2018[13]
PctCarbResidCat% of catchment area classified as lithology type: carbonate residual materialHill et al. 2018[13]
PctCarbResidWs% of watershed area classified as as lithology type: carbonate residual materialHill et al. 2018[13]
PctCoastCrsCat% of catchment area classified as lithology type: coastal zone sediment, coarse-texturedHill et al. 2018[13]
PctCoastCrsWs% of watershed area classified as as lithology type: coastal zone sediment, coarse-texturedHill et al. 2018[13]
PctColluvSedCat% of catchment area classified as lithology type: colluvial sedimentHill et al. 2018[13]
PctColluvSedWs% of watershed area classified as as lithology type: colluvial sedimentHill 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 rockHill et al. 2018[13]
PctExtruVolWs% of watershed area classified as as lithology type: extrusive volcanic rockHill et al. 2018[13]
PctFire2010Ws% Forest loss to fire (fire perimeter) for 2010 within watershedHill et al. 2018[13]
PctFrstLoss2013Ws% Forest cover loss (Tree canopy cover change) for 2013 within watershedHill et al. 2018[13]
PctGlacLakeCrsCat% of catchment area classified as lithology type: glacial outwash and glacial lake sediment, coarse-texturedHill et al. 2018[13]
PctGlacLakeCrsWs% of watershed area classified as as lithology type: glacial outwash and glacial lake sediment, coarse-texturedHill et al. 2018[13]
PctGlacLakeFineCat% of catchment area classified as lithology type: glacial lake sediment, fine-texturedHill et al. 2018[13]
PctGlacLakeFineWs% of watershed area classified as as lithology type: glacial lake sediment, fine-texturedHill et al. 2018[13]
PctGlacTilClayCat% of catchment area classified as lithology type: glacial till, clayeyHill et al. 2018[13]
PctGlacTilClayWs% of watershed area classified as as lithology type: glacial till, clayeyHill et al. 2018[13]
PctGlacTilCrsCat% of catchment area classified as lithology type: glacial till, coarse-texturedHill et al. 2018[13]
PctGlacTilCrsWs% of watershed area classified as as lithology type: glacial till, coarse-texturedHill et al. 2018[13]
PctGlacTilLoamCat% of catchment area classified as lithology type: glacial till, loamyHill et al. 2018[13]
PctGlacTilLoamWs% of watershed area classified as as lithology type: glacial till, loamyHill et al. 2018[13]
PctHydricCat% of catchment area classified as lithology type: hydric, peat and muckHill et al. 2018[13]
PctHydricWs% of watershed area classified as as lithology type: hydric, peat and muckHill et al. 2018[13]
PctImp2019CatMean imperviousness of anthropogenic surfaces within catchment (NLCD 2019)Hill et al. 2018[13]
PctImp2019WsMean 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 catchmentHill et al. 2018[13]
PctNonAgIntrodManagVegWs% Nonagriculture nonnative introduced or managed vegetation landcover type reclassed from LANDFIRE Existing Vegetation Type (EVT), within watershedHill et al. 2018[13]
PctNonCarbResidCat% of catchment area classified as lithology type: non-carbonate residual materialHill et al. 2018[13]
PctNonCarbResidWs% of watershed area classified as as lithology type: non-carbonate residual materialHill et al. 2018[13]
PctSalLakeCat% of catchment area classified as lithology type: saline like sedimentHill et al. 2018[13]
PctSalLakeWs% of watershed area classified as as lithology type: saline like sedimentHill et al. 2018[13]
PctSilicicCat% of catchment area classified as lithology type: silicic residual materialHill et al. 2018[13]
PctSilicicWs% of watershed area classified as as lithology type: silicic residual materialHill et al. 2018[13]
PctWaterCat% of catchment area classified as lithology type: waterHill et al. 2018[13]
PermCatMean permeability (cm/hour) of soils (STATSGO) within catchment Hill et al. 2018[13]
PermWsMean permeability (cm/hour) of soils (STATSGO) within watershedHill et al. 2018[13]
PopDen2010CatMean populating density (people/square km) within catchmentHill et al. 2018[13]
PopDen2010WsMean populating density (people/square km) within watershedHill et al. 2018[13]
RckdepCatMean depth (cm) to bedrock of soils (STATSGO) within catchment Hill et al. 2018[13]
RckdepWsMean depth (cm) to bedrock of soils (STATSGO) within watershedHill et al. 2018[13]
RdCrsWsDensity of roads-stream intersections (2010 Census Tiger Lines-NHD stream lines) within watershed (crossings/square km)Hill et al. 2018[13]
RdDensCatDensity of roads (2010 Census Tiger Lines) within catchment (km/square km)Hill et al. 2018[13]
RdDensWsDensity of roads (2010 Census Tiger Lines) within watershed (km/square km)Hill et al. 2018[13]
RunoffCatMean runoff (mm) within catchmentHill et al. 2018[13]
RunoffWsMean runoff (mm) within watershedHill et al. 2018[13]
SandCatMean % sand content of soils (STATSGO) within catchment Hill et al. 2018[13]
SandWsMean % sand content of soils (STATSGO) within watershedHill et al. 2018[13]
SCatMean % of lithological sulfur (S) content in surface or near surface geology within catchmentHill et al. 2018[13]
Shape_AreaWaterbody surface areaUS EPA & USGS 2012[5]
Shape_LengthWaterbody perimeter lengthUS EPA & USGS 2012[5]
SiO2CatMean % of lithological silicon dioxide (SiO2) content in surface or near surface geology within catchmentHill et al. 2018[13]
SiO2WsMean % of lithological silicon dioxide (SiO2) content in surface or near surface geology within watershedHill et al. 2018[13]
SN_2008CatAnnual gradient map of preciptiation-weighted mean deposition for average sulfur & nitrogen wet deposition for 2008 in kg of S+N/ha/yr, within catchmentHill et al. 2018[13]
SN_2008WsAnnual gradient map of preciptiation-weighted mean deposition for average sulfur & nitrogen wet deposition for 2008 in kg of S+N/ha/yr, within watershedHill et al. 2018[13]
SuperfundDensWsDensity of Superfund sites within watershed (sites/square km)Hill et al. 2018[13]
SWsMean % of lithological sulfur (S) content in surface or near surface geology within watershedHill et al. 2018[13]
TRIDensWsDensity of TRI (Toxic Release Inventory) sites within watershed (sites/square km)Hill et al. 2018[13]
WetIndexCatMean Composite Topographic Index (CTI)[Wetness Index] within catchmentHill et al. 2018[13]
WetIndexWsMean Composite Topographic Index (CTI)[Wetness Index] within watershedHill et al. 2018[13]
WtDepCatMean seasonal water table depth (cm) of soils (STATSGO) within catchment Hill et al. 2018[13]
WtDepWsMean seasonal water table depth (cm) of soils (STATSGO) within watershedHill et al. 2018[13]


4. References

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
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