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Future climates are simulated by general circulation models (GCM) using climate change scenarios (IPCC 2014). To project climate change for the sagebrush biome, we used 11 GCMs and two climate change scenarios from the IPCC Fifth Assessment, representative concentration pathways (RCPs) 4.5 and 8.5 (Moss et al. 2010, Van Vuuren et al. 2011). RCP4.5 scenario represents a future where climate policies limit and achieve stabilization of greenhouse gas concentrations to 4.5 W m-2 by 2100. RCP8.5 scenario might be called a business-as-usual scenario, where high emissions of greenhouse gases continue in the absence of climate change policies. The two selected time frames allow comparison of near-term (2020-2050) and longer-term...
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Future climates are simulated by general circulation models (GCM) using climate change scenarios (IPCC 2014). To project climate change for the sagebrush biome, we used 11 GCMs and two climate change scenarios from the IPCC Fifth Assessment, representative concentration pathways (RCPs) 4.5 and 8.5 (Moss et al. 2010, Van Vuuren et al. 2011). RCP4.5 scenario represents a future where climate policies limit and achieve stabilization of greenhouse gas concentrations to 4.5 W m-2 by 2100. RCP8.5 scenario might be called a business-as-usual scenario, where high emissions of greenhouse gases continue in the absence of climate change policies. The two selected time frames allow comparison of near-term (2020-2050) and longer-term...
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Future climates are simulated by general circulation models (GCM) using climate change scenarios (IPCC 2014). To project climate change for the sagebrush biome, we used 11 GCMs and two climate change scenarios from the IPCC Fifth Assessment, representative concentration pathways (RCPs) 4.5 and 8.5 (Moss et al. 2010, Van Vuuren et al. 2011). RCP4.5 scenario represents a future where climate policies limit and achieve stabilization of greenhouse gas concentrations to 4.5 W m-2 by 2100. RCP8.5 scenario might be called a business-as-usual scenario, where high emissions of greenhouse gases continue in the absence of climate change policies. The two selected time frames allow comparison of near-term (2020-2050) and longer-term...
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Future climates are simulated by general circulation models (GCM) using climate change scenarios (IPCC 2014). To project climate change for the sagebrush biome, we used 11 GCMs and two climate change scenarios from the IPCC Fifth Assessment, representative concentration pathways (RCPs) 4.5 and 8.5 (Moss et al. 2010, Van Vuuren et al. 2011). RCP4.5 scenario represents a future where climate policies limit and achieve stabilization of greenhouse gas concentrations to 4.5 W m-2 by 2100. RCP8.5 scenario might be called a business-as-usual scenario, where high emissions of greenhouse gases continue in the absence of climate change policies. The two selected time frames allow comparison of near-term (2020-2050) and longer-term...
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Future climates are simulated by general circulation models (GCM) using climate change scenarios (IPCC 2014). To project climate change for the sagebrush biome, we used 11 GCMs and two climate change scenarios from the IPCC Fifth Assessment, representative concentration pathways (RCPs) 4.5 and 8.5 (Moss et al. 2010, Van Vuuren et al. 2011). RCP4.5 scenario represents a future where climate policies limit and achieve stabilization of greenhouse gas concentrations to 4.5 W m-2 by 2100. RCP8.5 scenario might be called a business-as-usual scenario, where high emissions of greenhouse gases continue in the absence of climate change policies. The two selected time frames allow comparison of near-term (2020-2050) and longer-term...
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Future climates are simulated by general circulation models (GCM) using climate change scenarios (IPCC 2014). To project climate change for the sagebrush biome, we used 11 GCMs and two climate change scenarios from the IPCC Fifth Assessment, representative concentration pathways (RCPs) 4.5 and 8.5 (Moss et al. 2010, Van Vuuren et al. 2011). RCP4.5 scenario represents a future where climate policies limit and achieve stabilization of greenhouse gas concentrations to 4.5 W m-2 by 2100. RCP8.5 scenario might be called a business-as-usual scenario, where high emissions of greenhouse gases continue in the absence of climate change policies. The two selected time frames allow comparison of near-term (2020-2050) and longer-term...
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Future climates are simulated by general circulation models (GCM) using climate change scenarios (IPCC 2014). To project climate change for the sagebrush biome, we used 11 GCMs and two climate change scenarios from the IPCC Fifth Assessment, representative concentration pathways (RCPs) 4.5 and 8.5 (Moss et al. 2010, Van Vuuren et al. 2011). RCP4.5 scenario represents a future where climate policies limit and achieve stabilization of greenhouse gas concentrations to 4.5 W m-2 by 2100. RCP8.5 scenario might be called a business-as-usual scenario, where high emissions of greenhouse gases continue in the absence of climate change policies. The two selected time frames allow comparison of near-term (2020-2050) and longer-term...
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Future climates are simulated by general circulation models (GCM) using climate change scenarios (IPCC 2014). To project climate change for the sagebrush biome, we used 11 GCMs and two climate change scenarios from the IPCC Fifth Assessment, representative concentration pathways (RCPs) 4.5 and 8.5 (Moss et al. 2010, Van Vuuren et al. 2011). RCP4.5 scenario represents a future where climate policies limit and achieve stabilization of greenhouse gas concentrations to 4.5 W m-2 by 2100. RCP8.5 scenario might be called a business-as-usual scenario, where high emissions of greenhouse gases continue in the absence of climate change policies. The two selected time frames allow comparison of near-term (2020-2050) and longer-term...
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Future climates are simulated by general circulation models (GCM) using climate change scenarios (IPCC 2014). To project climate change for the sagebrush biome, we used 11 GCMs and two climate change scenarios from the IPCC Fifth Assessment, representative concentration pathways (RCPs) 4.5 and 8.5 (Moss et al. 2010, Van Vuuren et al. 2011). RCP4.5 scenario represents a future where climate policies limit and achieve stabilization of greenhouse gas concentrations to 4.5 W m-2 by 2100. RCP8.5 scenario might be called a business-as-usual scenario, where high emissions of greenhouse gases continue in the absence of climate change policies. The two selected time frames allow comparison of near-term (2020-2050) and longer-term...
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Future climates are simulated by general circulation models (GCM) using climate change scenarios (IPCC 2014). To project climate change for the sagebrush biome, we used 11 GCMs and two climate change scenarios from the IPCC Fifth Assessment, representative concentration pathways (RCPs) 4.5 and 8.5 (Moss et al. 2010, Van Vuuren et al. 2011). RCP4.5 scenario represents a future where climate policies limit and achieve stabilization of greenhouse gas concentrations to 4.5 W m-2 by 2100. RCP8.5 scenario might be called a business-as-usual scenario, where high emissions of greenhouse gases continue in the absence of climate change policies. The two selected time frames allow comparison of near-term (2020-2050) and longer-term...
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Future climates are simulated by general circulation models (GCM) using climate change scenarios (IPCC 2014). To project climate change for the sagebrush biome, we used 11 GCMs and two climate change scenarios from the IPCC Fifth Assessment, representative concentration pathways (RCPs) 4.5 and 8.5 (Moss et al. 2010, Van Vuuren et al. 2011). RCP4.5 scenario represents a future where climate policies limit and achieve stabilization of greenhouse gas concentrations to 4.5 W m-2 by 2100. RCP8.5 scenario might be called a business-as-usual scenario, where high emissions of greenhouse gases continue in the absence of climate change policies. The two selected time frames allow comparison of near-term (2020-2050) and longer-term...
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Future climates are simulated by general circulation models (GCM) using climate change scenarios (IPCC 2014). To project climate change for the sagebrush biome, we used 11 GCMs and two climate change scenarios from the IPCC Fifth Assessment, representative concentration pathways (RCPs) 4.5 and 8.5 (Moss et al. 2010, Van Vuuren et al. 2011). RCP4.5 scenario represents a future where climate policies limit and achieve stabilization of greenhouse gas concentrations to 4.5 W m-2 by 2100. RCP8.5 scenario might be called a business-as-usual scenario, where high emissions of greenhouse gases continue in the absence of climate change policies. The two selected time frames allow comparison of near-term (2020-2050) and longer-term...
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A raster dataset representing the resilience and resistance classes combined with greater sage-grouse breeding habitat probabilities. It was created to represent greater sage-grouse breeding habitat probabilities within each resilience and resistance class. It was created to be incorporated into a larger landscape scale geospatial data modeling effort, the Conservation and Restoration Strategy. The R&R and the GRSG Breeding Habitat Probability raster were incorporated; the resulting raster contained 12 values: 26 - Unsuitable Probability and High R&R 27 - Unsuitable Probability and Moderate R&R 28 - Unsuitable Probability and Low R&R 51 - Low Probability and High R&R 52 - Low Probability and Moderate R&R 53...
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The National Cohesive Wildland Fire Management Strategy, initiated in 2009 and finalized in 2014, provides a national vision for wildland fire management. This highly collaborative effort establishes three overarching goals, and describes stakeholder-driven processes for achieving them: (1) resilient landscapes; (2) fire-adapted communities; and (3) safe and effective wildfire response. The scientific rigor of this program was ensured with the establishment of the National Science and Analysis Team (NSAT). The main tasks of NSAT were to compile credible scientific information, data, and models to help explore national challenges and opportunities, identify a range of management options, and help set national priorities...
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The Landcover Mosaic map (LCM) can be used to answer the question: What is the mixture of agricultural/urban/natural landcover types surrounding a given land parcel?Researchers at the U.S. Forest Service Southern Research Station have utilized the National Land Cover Database (NLCD) to calculate a suite of land cover and forest fragmentation metrics at landscape scales. These datasets yield rich spatial information about urbanization, its effects on forests, and how urban areas interface and mix with rural, agricultural, and forest landscapes.The Landcover Mosaic Map (Landscape Mosaic Pattern) illustrates the mixture of agricultural, developed, and semi-natural land cover types within 15-hectare neighborhoods (about...
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Researchers at the U.S. Forest Service Southern Research Station have utilized the National Land Cover Database (NLCD) to calculate a suite of land cover and forest fragmentation metrics at landscape scales. These datasets yield rich spatial information about urbanization, its effects on forests, and how urban areas interface and mix with rural, agricultural, and forest landscapes.The Forest Area Density (FDEN) map (Landscape Forest Density) illustrates the proportion of the landscape around a given forest area that is also forested. Areas with low forest density may be fragmented by agricultural land use and/or urban and exurban development. FDEN map is colored according to the amount of other forest in a surrounding...
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The Great Plains Landscape Conservation Cooperative (GPLCC, https://www.fws.gov/science/catalog) is a partnership that provides applied science and decision support tools to assist natural resource managers conserve plants, fish and wildlife in the mid- and short-grass prairie of the southern Great Plains. It is part of a national network of public-private partnerships — known as Landscape Conservation Cooperatives (LCCs, http://www.fws.gov/science/shc/lcc.html) — that work collaboratively across jurisdictions and political boundaries to leverage resources and share science capacity. The Great Plains LCC identifies science priorities for the region and helps foster science that addresses these priorities to support...
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The Great Plains Landscape Conservation Cooperative (GPLCC, https://www.fws.gov/science/catalog) is a partnership that provides applied science and decision support tools to assist natural resource managers conserve plants, fish and wildlife in the mid- and short-grass prairie of the southern Great Plains. It is part of a national network of public-private partnerships — known as Landscape Conservation Cooperatives (LCCs, http://www.fws.gov/science/shc/lcc.html) — that work collaboratively across jurisdictions and political boundaries to leverage resources and share science capacity. The Great Plains LCC identifies science priorities for the region and helps foster science that addresses these priorities to support...
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The Interagency Vegetation Mapping Project (IVMP) provides maps of existing vegetation, canopy cover, size, and cover type for the entire range of the Northern Spotted Owl using satellite imagery from the Landsat Thematic Mapper (TM). This area is commonly called the FEMAT area, in reference to the area's analysis by the Forest Ecosystem Management Assessment Team. A regression modeling approach was used to predict vegetation characteristics from this Landsat data. This process involved the use of numerous sources of ancillary data, the most crucial being USFS, BLM, and Forest Inventory and Analysis (FIA) plot field data and plot photo interpreted information. This data served as training data in the regression...
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The National Cohesive Wildland Fire Management Strategy—initiated in 2009 and finalized in 2014—provides a national vision for wildland fire management. This highly collaborative effort establishes three overarching goals, and describes stakeholder-driven processes for achieving them: (1) resilient landscapes; (2) fire-adapted communities; and (3) safe and effective wildfire response. The scientific rigor of this program was ensured with the establishment of the National Science and Analysis Team (NSAT).The main tasks of NSAT were to compile credible scientific information, data, and models to help explore national challenges and opportunities, identify a range of management options, and help set national priorities...


map background search result map search result map USFS and BLM Interagency Vegetation Mapping Project LANDFIRE Existing Vegetation Cover for the Great Plains Landscape Conservation Cooperative LANDFIRE Existing Vegetation Type for the Great Plains Landscape Conservation Cooperative Wildland Fire: The National Cohesive Strategy U.S. Forest Service National Cohesive Fire Strategy Dataset Percent Forest Industry Jobs U.S. Forest Service Landscape Mosaic Pattern U.S. Forest Service Landscape Forest Density GRSG Breeding Habitat Probabilities within R&R Classes Raster Precipitation (Mean: Annual) - 2020-2050 - RCP8.5 - Mean Precipitation (Proportion July - Sep) - 1980-2010 Precipitation (Proportion July - Sep) - 2070-2100 - RCP4.5 - Max Temperature (Mean: Annual) - 2020-2050 - RCP8.5 - Mean Precipitation (Proportion May - Oct) - 2070-2100 - RCP4.5 - Mean Precipitation (Proportion May - Oct) - 2070-2100 - RCP8.5 - Max Precipitation (Mean: July - Sep) - 2070-2100 - RCP4.5 - Mean Temperature (Maximum: July) - 2070-2100 - RCP8.5 - Mean Temperature (Mean: Apr - June) - 2070-2100 - RCP4.5 - Max Temperature (Mean: July - Sep) - 2070-2100 - RCP4.5 - Max Temperature (Minimum: January) - 2020-2050 - RCP4.5 - Mean Temperature (Minimum: January) - 2020-2050 - RCP8.5 - Max USFS and BLM Interagency Vegetation Mapping Project LANDFIRE Existing Vegetation Cover for the Great Plains Landscape Conservation Cooperative LANDFIRE Existing Vegetation Type for the Great Plains Landscape Conservation Cooperative Wildland Fire: The National Cohesive Strategy U.S. Forest Service National Cohesive Fire Strategy Dataset Percent Forest Industry Jobs U.S. Forest Service Landscape Mosaic Pattern U.S. Forest Service Landscape Forest Density GRSG Breeding Habitat Probabilities within R&R Classes Raster Precipitation (Mean: Annual) - 2020-2050 - RCP8.5 - Mean Precipitation (Proportion July - Sep) - 1980-2010 Precipitation (Proportion July - Sep) - 2070-2100 - RCP4.5 - Max Temperature (Mean: Annual) - 2020-2050 - RCP8.5 - Mean Precipitation (Proportion May - Oct) - 2070-2100 - RCP4.5 - Mean Precipitation (Proportion May - Oct) - 2070-2100 - RCP8.5 - Max Precipitation (Mean: July - Sep) - 2070-2100 - RCP4.5 - Mean Temperature (Maximum: July) - 2070-2100 - RCP8.5 - Mean Temperature (Mean: Apr - June) - 2070-2100 - RCP4.5 - Max Temperature (Mean: July - Sep) - 2070-2100 - RCP4.5 - Max Temperature (Minimum: January) - 2020-2050 - RCP4.5 - Mean Temperature (Minimum: January) - 2020-2050 - RCP8.5 - Max