Filters: partyWithName: Natasha B Carr (X)
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Federal land managers need an adaptive management framework to accommodate changing conditions and that allows them to effectively link the appropriate science to natural resource management decision-making across jurisdictional boundaries. FRAME-SIMPPLLE is a collaborative modeling process designed to accomplish this goal by coupling the adaptive capabilities of the SIMPPLLE modeling system with accepted principles of collaboration. The two essential components of the process are FRAME (Framing Research in support of the Adaptive Management of Ecosystems), which creates a collaborative problem-solving environment, and SIMPPLLE (SIMulating Patterns and Processes at Landscape Scales), which is a vegetation dynamics...
Categories: Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2011,
CASC,
Climate Change Impacts,
Completed,
Data Visualization & Tools,
The surface disturbance footprint raster data set quantifies the percent surface disturbance from development at a 90-meter resolution. The surface disturbance footprint is used to compute a multiscale index of landscape intactness for the Bureau of Land Management’s (BLM) landscape approach. The surface disturbance footprint is mapped for the western United States (17 states), by compiling and combining spatial data for four development disturbance variable classes. Development classes include urban land cover (impervious surface), agriculture (cropland), energy and mineral extraction and transport (oil and gas wells, solar arrays, wind turbines, surface mines, pipelines, and transmission lines), and transportation...
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,
Scenario planning is a useful tool for identifying key vulnerabilities of ecological systems to changing climates, informed by the potential outcomes for a set of divergent, plausible, and relevant climate scenarios. We evaluated potential vulnerabilities of grassland communities to changing climate in the Southern Great Plains (SGP) and the Landscape Conservation Design pilot area (LCD) for the U.S. Fish and Wildlife Service, Science Applications Program, Great Plains Landscape Conservation Cooperative. Four climate scenarios (warm-dry, warm-wet, hot-dry, and hot-wet) from atmospheric-ocean general circulation models were selected to represent a suite of plausible future climatic conditions. For each scenario,...
Categories: Publication;
Types: Citation
The Energy and Environment in the Rocky Mountain Area (EERMA) project is composed of interdisciplinary U.S. Geological Survey (USGS) scientists working to provide land management agencies and decision makers with synthesized information and comprehensive, virtual tools to promote understanding of the trade-offs of energy development. The purpose of the Interactive Energy Atlas is to provide data and decision support tools to visualize and assess the potential effects of energy development on terrestrial/hydrological resources at multiple scales. ScienceBase is being used to compile information and serve the data to EERMA's website, including visualization application, via services. Community Home website: http://my.usgs.gov/eerma/
This project involves a web-based application and information resource focused on ecosystems, energy, and water in northwestern Colorado. The project will be developed and implemented in partnership with land and resource managers and will compliment ongoing and proposed work to support data and information management needs in the region. Representative on-going efforts and entities involved include the U.S. Fish and Wildlife Service Southern Rockies Landscape Conservation Cooperative studies, Bureau of Land Management Rapid Ecoregional Assessments, Americas Great Outdoors Initiative, WaterSMART, Upper Colorado Endangered Fish Recovery Program, Yampa River Legacy Project, Soil Landscape Geochemistry Project, Sage...
Categories: Project
The shrub-steppe system that dominates the WLCI region separates the northern and southern Rocky Mountains; thus, forested areas in the WLCI region are limited. In the Green River Basin of southwest Wyoming, riparian and aspen woodlands comprise only a small fraction of the landscape, but many agencies perceive them as priority habitats because they make important contributions to landscape connectivity and biodiversity at local, regional, and geographic scales. Not only do aspen communities support a unique and diverse suite of species in the WLCI region, they provide important forage and cover for ungulates, help maintain headwater stream function, and they may serve as stepping stones for migratory forest birds...
The Terrestrial Development Index (TDI) quantifies levels of development (urban, agriculture, energy and mineral extraction and transmission, and transportation). TDI scores represent the total percentage of the development footprint within a 2.5 kilometer (km) radius circular moving window. The TDI scores range from 0-100%. The TDI scores between 0-1% represent areas with few roads or a very low density of oil and gas wells. The TDI scores between 1-3% often include low densities of oil and gas wells and roads, whereas development index scores above 3% represent moderate to high levels of development, including relatively large oil and gas fields, surface mines, agricultural fields, centers of urban development,...
Landscape intactness has been defined as a quantifiable estimate of naturalness measured on a gradient of anthropogenic influence. We developed a multiscale index of landscape intactness for the Bureau of Land Management’s (BLM) landscape approach, which requires multiple scales of information to quantify the cumulative effects of land use. The multiscale index of landscape intactness represents a gradient of anthropogenic influence as represented by development levels at two analysis scales. To create the index, we first mapped the surface disturbance footprint of development, for the western U.S., by compiling and combining spatial data for urban development, agriculture, energy and minerals, and transportation...
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 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),
Potentially suitable habitat for the American burying beetle (Nicrophorus americanus) was identified within the Southern Plains. The American burying beetle (ABB) is listed as endangered under the Endangered Species Act, but in 2019 the U.S. Fish and Wildlife Service proposed to reclassify this species as threatened. We applied a deductive model for the ABB that identified potentially suitable habitat using LANDFIRE Existing Vegetation Types (EVT). The habitat model ranked each EVT using one of four categories: (1) favorable; suitable vegetation to support all or critical portions of the ABB life cycle, (2) conditional; favorable only under certain conditions including seasonality of flooding and land management...
Categories: Data,
Data Release - Revised;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: American burying beetle,
Arkansas,
Kansas,
LANDFIRE,
Missouri,
In response to the potential impacts of climate and land use change to the Nation’s ecosystems, the Bureau of Land Management (BLM) launched a series of Rapid Ecoregional Assessments (REAs) in 2010. The REAs are focused on improving our understanding of the current state of ecosystems and how conditions may be impacted by changes in climate, land use, and other stressors. Researchers with the North Central CSC and the National Oceanic and Atmospheric Administration (NOAA) provided climate science support to the Wyoming Basin REA. The Wyoming Basin REA is a landscape-scale ecological assessment of over 33 million acres in Wyoming, Colorado, Utah, Idaho, and Montana. This region has some of the highest quality wildlife...
Categories: Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2012,
CASC,
Climate Change,
Completed,
North Central,
The Terrestrial Development Index (TDI) quantifies the level of development (urban, agriculture, energy and mineral extraction and transmission, and transportation) based on the surface disturbance footprint. TDI values range from 0 to 100% and represent the total percentage of land surface occupied by the development footprint within a 1-kilometer (km) radius moving window.
The terrestrial development index (TDI) quantifies levels of development (urban, agriculture, energy and mineral extraction and transmission, and transportation). TDI scores represent the total percentage of the development footprint within a 20-kilometer radius circular moving window. The Surface Disturbance Footprint from Development for the Western United States is used in the moving window analysis. The TDI scores range from 0-100%.
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 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,
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