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This data set includes the relative production scenarios for eight (8) grass species based on linear models from Epstein, et al. (1998). We selected two indicator species for each community: shortgrass prairie: blue grama (Bouteloua gracilis; BOGR) and buffalo grass (Bouteloua dactyloides; BODA); mixedgrass prairie: sideoats grama (Bouteloua curtipendula; BOCU) and little bluestem (Schizachyrium scoparium; SCSC); tallgrass prairie: big bluestem (Andropogon gerardii; ANGE) and Indiangrass (Sorghastrum nutans; SONU); and semiarid grasslands: black grama (Bouteloua eriopoda; BOER) and tobosagrass (Pleuraphis mutica; PLMU). Soil texture (percent by weight) came from the Earth Systems Science Center (2008) which provided...
This data set includes the relative production scenarios for bufflaograss [0.72(Temp) - 0.12(Precip) - 0.04(Sand) + 3.08]; this is the model from Epstein, et al. (1998). Soil texture (percent by weight) came from the Earth Systems Science Center (2008) which provided processed soils data from NRCS (gSSURGO), mean annual temperature (Celsius) and/or mean annual precipitation (millimeters) came from contemporary (1981 - 2010) estimates (Maurer et al. 2002) or a GCM. Global Climate Models (GCM) providing scenarios included: warmer-wetter scenario (CESM1-BGC, RCP4.5, Neale et al., 2010), warmer drier scenario (GISS-E2-R, RCP4.5, Schmidt, 2014), hotter-wetter scenario (Miroc-ESM, RCP8.5, Watanabe et al., 2011), and hotter-drier...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Colorado,
Great Plains Landscape Conservation Cooperative,
Kansas,
Nebraska,
New Mexico,
The "_archive_workflow_FinalModel.zip" data bundle is comprised of the metadata and Vistrails workflow that contains the following history nodes, which contain modeling workflows: "NLCD2016 state bckgrnd" and "NLCD2016 wostate bckgrnd". These nodes produced the following 9 output rasters: 1) Probability map (without state) 2) MPP threshold (without state) 3) Five percent threshold (without state) 4) Ten percent threshold (without state) 5) Probability map (with state) 6) MPP threshold (with state) 7) Five percent threshold (with state) 8) Ten percent threshold (with state) 9) Maxent MESS map
The 'archive_raster_inputs.zip' data bundle contains '_archive_raster_inputs_XX.tif' and archive_raster_inputs_XX.xml where XX is the name of 1 of 8 input rasters that were created and used to generate these model results. The original layers and sources used to produce each predictor, as well as processing steps, are specified in each .xml file.
The purpose of this data release and associated data series (Carr and Fancher, 2021) was to compile occurrence records and map the distribution of a freshwater mussel assemblage for the Bureau of Land Management Rapid Ecoregional Assessment for the Southern Great Plains. The freshwater mussel assemblage includes Amblema plicata (threeridge), Fusconaia flava (Wabash pigtoe), Lampsilis cardium (plain pocketbook), Lampsilis teres (yellow sandshell), Pyganodon grandis (giant floater), and Uniomerus tetralasmus (pondhorn). The focal species in the assemblage were selected based on the following criteria: (1) the species are regionally significant, (2) occurrence records are sufficient to map the distribution of the species...
Categories: Data;
Tags: Kansas,
Nebraska,
Oklahoma,
Southern Great Plains,
USGS Science Data Catalog (SDC),
This data set includes the relative production scenarios for sideoats grama [1.13(Temp) + 0.41(Precip) - 0.004(Precip)^2- 0.07(Sand) - 12.3]; this is the model from Epstein, et al. (1998). Soil texture (percent by weight) came from the Earth Systems Science Center (2008) which provided processed soils data from NRCS (gSSURGO), mean annual temperature (Celsius) and/or mean annual precipitation (millimeters) came from contemporary (1981 - 2010) estimates (Maurer et al. 2002) or a GCM. Global Climate Models (GCM) providing scenarios included: warmer-wetter scenario (CESM1-BGC, RCP4.5, Neale et al., 2010), warmer drier scenario (GISS-E2-R, RCP4.5, Schmidt, 2014), hotter-wetter scenario (Miroc-ESM, RCP8.5, Watanabe et...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Colorado,
Great Plains Landscape Conservation Cooperative,
Kansas,
Nebraska,
New Mexico,
This data set includes the relative production scenarios for little bluestem [0.26(Precip) - 4.04]; this is the model from Epstein, et al. (1998). Soil texture (percent by weight) came from the Earth Systems Science Center (2008) which provided processed soils data from NRCS (gSSURGO), mean annual temperature (Celsius) and/or mean annual precipitation (millimeters) came from contemporary (1981 - 2010) estimates (Maurer et al. 2002) or a GCM. Global Climate Models (GCM) providing scenarios included: warmer-wetter scenario (CESM1-BGC, RCP4.5, Neale et al., 2010), warmer drier scenario (GISS-E2-R, RCP4.5, Schmidt, 2014), hotter-wetter scenario (Miroc-ESM, RCP8.5, Watanabe et al., 2011), and hotter-drier scenario (ACCESS...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Colorado,
Great Plains Landscape Conservation Cooperative,
Kansas,
Nebraska,
New Mexico,
The purpose of this project was to map the estimated distribution of grassland communities of the Southern Great Plains prior to Euro-American settlement. The Southern Great Plains Rapid Ecoregional Assessment (REA), under the direction of the Bureau of Land Management and the Great Plains Landscape Conservation Cooperative, includes four ecoregions: the High Plains, Central Great Plains, Southwestern Tablelands, and the Nebraska Sand Hills. The REA advisors and stakeholders determined that the mapping accuracy of available national land-cover maps was insufficient in many areas to adequately address management questions for the REA. Based on the recommendation of the REA stakeholders, we estimated the potential...
The ecoregion and analysis boundaries of the BLM REAs: Colorado Plateau (COP), Sonoran Desert (SOD), Central Basin and Range (CBR), Chihuahuan Desert (CHD), Madrean Archipelago (MAR), Mojave Basin and Range (MBR), Middle Rockies (MIR), Northern Great Basin (NGB), Northwestern Plains (NWP), Southern Great Plains (SGP), Wyoming Basin (WYB) and the Landscape Assessments: Colorado and Utah Assessment (COP 2014) and San Luis Valley (SLV).
Abstract (from http://www.tandfonline.com/doi/full/10.1080/10402381.2015.1074324): Trends in water quality and quantity were assessed for 11 major reservoirs of the Brazos and Colorado river basins in the southern Great Plains (maximum period of record, 1965–2010). Water quality, major contributing-stream inflow, storage, local precipitation, and basin-wide total water withdrawals were analyzed. Inflow and storage decreased and total phosphorus increased in most reservoirs. The overall, warmest-, or coldest-monthly temperatures increased in 7 reservoirs, decreased in 1 reservoir, and did not significantly change in 3 reservoirs. The most common monotonic trend in salinity-related variables (specific conductance,...
Categories: Publication;
Types: Citation;
Tags: National CASC,
Rivers, Streams and Lakes,
Water, Coasts and Ice,
inflow,
precipitation,
Playas are the primary wetland system in the Southern Great Plains (SGP) of North America providing critical stopover habitats for migratory birds in the Western Hemisphere. Collectively, these wetlands form the keystone ecosystem in this region supporting biodiversity for North America and provide habitat for native plants and animals that are essential for maintenance of international biological diversity along with other local and regional ecological services. Large-scale landscape changes in this region, primarily as a result of agriculturally-based anthropogenic impacts, threaten playas with functional loss and physical extinction. These impacts are not considered in current estimates of the number of extant...
Categories: Publication;
Types: Citation;
Tags: Conservation,
Data Visualization & Tools,
Functional loss,
Historical numbers,
Landscapes,
We developed a second iteration of habitat suitability models for Lesser Prairie Chicken leks, across their range. The first modeling iteration used lek data collected from 2002 to 2012, land cover data ranging from 2001 to 2013, and anthropogenic features from 2011. Our second iteration model used occurrence points from new lek surveys (2015 to 2019) and updated predictor layers to evaluate changes in lek suitability and to quantify current range-wide habitat suitability. We created suitability models from 2 predictor sets: one including all predictors, and the other excluding state as a predictor. All 11 predictors included in the "with state" predictor set were: average Enhanced Vegetation Index (EVI), distance...
The 'archive_raster_outputs.zip' data bundle includes 'XX.tif' and 'XX.xml' where XX is the name of 1 of 9 specific output rasters produced from '_archive_workflow_FinalModel.vt'. These outputs include continuous and thresholded probability maps for models including and excluding state as a predictor, as well as a MESS (Multivariate Environmental Similarity Surface) map that describes areas with restricted environmental conditions for this species.
This data set includes the relative production scenarios for blue grama [4.15(Temp) -0.3(Precip) - 0.15(Temp)^2 + 0.08]; this is the model from Epstein, et al. (1998). Soil texture (percent by weight) came from the Earth Systems Science Center (2008) which provided processed soils data from NRCS (gSSURGO), mean annual temperature (Celsius) and/or mean annual precipitation (millimeters) came from contemporary (1981 - 2010) estimates (Maurer et al. 2002) or a GCM. Global Climate Models (GCM) providing scenarios included: warmer-wetter scenario (CESM1-BGC, RCP4.5, Neale et al., 2010), warmer drier scenario (GISS-E2-R, RCP4.5, Schmidt, 2014), hotter-wetter scenario (Miroc-ESM, RCP8.5, Watanabe et al., 2011), and hotter-drier...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Colorado,
Great Plains Landscape Conservation Cooperative,
Kansas,
Nebraska,
New Mexico,
This data set includes the relative production scenarios for black grama [0.37(Temp) - 0.06(Precip) + 0.24]; this is the model from Epstein, et al. (1998). Soil texture (percent by weight) came from the Earth Systems Science Center (2008) which provided processed soils data from NRCS (gSSURGO), mean annual temperature (Celsius) and/or mean annual precipitation (millimeters) came from contemporary (1981 - 2010) estimates (Maurer et al. 2002) or a GCM. Global Climate Models (GCM) providing scenarios included: warmer-wetter scenario (CESM1-BGC, RCP4.5, Neale et al., 2010), warmer drier scenario (GISS-E2-R, RCP4.5, Schmidt, 2014), hotter-wetter scenario (Miroc-ESM, RCP8.5, Watanabe et al., 2011), and hotter-drier scenario...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Colorado,
Great Plains Landscape Conservation Cooperative,
Kansas,
Nebraska,
New Mexico,
This data set includes the relative production scenarios for Indiangrass [0.17(Precip) + 0.02(Sand) - 7.4]; this is the model from Epstein, et al. (1998). Soil texture (percent by weight) came from the Earth Systems Science Center (2008) which provided processed soils data from NRCS (gSSURGO), mean annual temperature (Celsius) and/or mean annual precipitation (millimeters) came from contemporary (1981 - 2010) estimates (Maurer et al. 2002) or a GCM. Global Climate Models (GCM) providing scenarios included: warmer-wetter scenario (CESM1-BGC, RCP4.5, Neale et al., 2010), warmer drier scenario (GISS-E2-R, RCP4.5, Schmidt, 2014), hotter-wetter scenario (Miroc-ESM, RCP8.5, Watanabe et al., 2011), and hotter-drier scenario...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Colorado,
Great Plains Landscape Conservation Cooperative,
Kansas,
Nebraska,
New Mexico,
This data set includes the relative production scenarios for tobosagrass [0.08(Temp) - 0.58]; this is the model from Epstein, et al. (1998). Soil texture (percent by weight) came from the Earth Systems Science Center (2008) which provided processed soils data from NRCS (gSSURGO), mean annual temperature (Celsius) and/or mean annual precipitation (millimeters) came from contemporary (1981 - 2010) estimates (Maurer et al. 2002) or a GCM. Global Climate Models (GCM) providing scenarios included: warmer-wetter scenario (CESM1-BGC, RCP4.5, Neale et al., 2010), warmer drier scenario (GISS-E2-R, RCP4.5, Schmidt, 2014), hotter-wetter scenario (Miroc-ESM, RCP8.5, Watanabe et al., 2011), and hotter-drier scenario (ACCESS...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Colorado,
Great Plains Landscape Conservation Cooperative,
Kansas,
Nebraska,
New Mexico,
This data set includes the relative production scenarios for big bluestem [3.08(Temp) -0.41(Precip)+0.14(Silt) - 0.16(Temp)^2 -31.9]; this is the model from Epstein, et al. (1998). Soil texture (percent by weight) came from the Earth Systems Science Center (2008) which provided processed soils data from NRCS (gSSURGO), mean annual temperature (Celsius) and/or mean annual precipitation (millimeters) came from contemporary (1981 - 2010) estimates (Maurer et al. 2002) or a GCM. Global Climate Models (GCM) providing scenarios included: warmer-wetter scenario (CESM1-BGC, RCP4.5, Neale et al., 2010), warmer drier scenario (GISS-E2-R, RCP4.5, Schmidt, 2014), hotter-wetter scenario (Miroc-ESM, RCP8.5, Watanabe et al., 2011),...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Colorado,
Great Plains Landscape Conservation Cooperative,
Kansas,
Nebraska,
New Mexico,
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