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This project represents a continuation and expansion from the KFO’s 2004 CCI Project #21055 - Bear River Cooperative Weed Management. This project is for spraying and biological control of all Invasive/Noxious Weeds within the Kemmerer Field Office (KFO) area within Lincoln and Uinta Counties. Funding costs includes hiring seasonal staff and a vehicle to continue inventorying and mapping of weeds within the area. In 2009, 1,000 acres of weeds will be treated on BLM lands and 1,000 treated acres will be evaluated. Efforts will first be directed to areas where the resource benefits are most important as identified by the WLCI and the KFO. Maintaining the native vegetative communities and protecting them from invading...
This project is intended to provide a source of native seed and plant material for BLM’s Wyoming field office programs and projects. The intent of this proposal is to develop and maintain a supply of native plant seed, vegetative propagules, and native seed reserves for use on BLM projects primarily within the Green River Basin, SW Wyoming. This project would assist in providing native plant material and seed for watershed restoration projects on federal lands. The project is in compliance with National BLM native plant policies and goals. Currently, Wyoming BLM does not have native species under cultivation. The native plant program will provide seed and seedlings for field office’s programs, principally wildfire...
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This project improves the age class and diversity of plant communities. Improving transitional range will help hold the antelope and deer in this area, saving crucial winter areas for use later in the season. Other wildlife benefitting from this treatment are small mammals and a variety of birds, including sage grouse. Quality, quantity, and availability of forage in this transitional-migratory area will be improved. The units of accomplishments for this project, 10,000 acres (JM), are shared with multiple funding sources; due to the timing of the project; some units will carry over into FY 08. Some of the included acres are within the Wildland Urban Interface (JW).
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Accurate and consistent estimates of shrubland ecosystem components are crucial to a better understanding of ecosystems condition in arid and semiarid lands. We developed an innovative approach by integrating multiple information to quantify shrubland components as continuous field products within the National Land Cover Database (NLCD). The approach consists of five major parts: field sample collection, high-resolution mapping of shrubland components using WorldView-2 imagery and regression tree models, Landsat 8 radiometric balancing and phenological mosaicking, coarse resolution estimate of shrubland components across a large geographic extent using Landsat 8 phenological mosaics and regression tree models, and...
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North American sagebrush-steppe ecosystems have decreased by about 50 percent since European settlement. As a result, sagebrush-steppe dependent species, such as the Gunnison sage-grouse, have experienced drastic range contractions and population declines. Coordinated ecosystem-wide research, integrated with monitoring and management activities, is needed to help maintain existing sagebrush habitats; however, products that accurately model and map sagebrush habitats in detail over the Gunnison Basin in Colorado are still unavailable. This research employs a combination of methods, including (1) modeling sagebrush rangeland as a series of independent objective components that can be combined and customized by any...
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North American sagebrush-steppe ecosystems have decreased by about 50 percent since European settlement. As a result, sagebrush-steppe dependent species, such as the Gunnison sage-grouse, have experienced drastic range contractions and population declines. Coordinated ecosystem-wide research, integrated with monitoring and management activities, is needed to help maintain existing sagebrush habitats; however, products that accurately model and map sagebrush habitats in detail over the Gunnison Basin in Colorado are still unavailable. This research employs a combination of methods, including (1) modeling sagebrush rangeland as a series of independent objective components that can be combined and customized by any...
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The sagebrush rangelands of the Great Basin provide crucial habitat for a diversity of wildlife, including the pronghorn and the greater sage-grouse. These water-limited, highly-managed ecosystems have already been degraded by wildfires, the expansion of invasive grasses, and livestock grazing, and are expected to experience additional stress as climate and land use conditions change. Effective management of sagebrush ecosystems in the future will require the ability to understand and predict these future changes. To address this need, researchers will identify historical rates and causes of vegetation change in shrubland ecosystems, then use this information to develop potential future climate and land use scenarios...
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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...
Aim: Greater sage-grouse (Centrocercus urophasianus), a shrub-steppe obligate species of western North America, currently occupies only half its historical range. Here we examine how broad-scale, long-term trends in landscape condition have affected range contraction. Location: Sagebrush biome of the western USA. Methods: Logistic regression was used to assess persistence and extirpation of greater sage-grouse range based on landscape conditions measured by human population (density and population change), vegetation (percentage of sagebrush habitat), roads (density of and distance to roads), agriculture (cropland, farmland and cattle density), climate (number of severe and extreme droughts) and range periphery....
Nitric oxide (NO) is a relatively short-lived trace gas that reacts with oxygen in the troposphere to produce the air pollutant ozone. It also reacts with water vapor to form nitric and nitrous acids, which acidify precipitation and increase N deposition. Models currently used to predict soil NO fluxes are based on the assumption that NO flux is proportional to the gross rate of nitrification or N mineralization; however, this assumption has not been tested because of the difficulty in measuring gross N-cycling rates in situ. We measured soil NO fluxes, gross and net N-cycling rates, and a variety of other soil characteristics in the forest floor and intact soil cores at nine undisturbed forest and rangeland ecosystems...
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Vectorized version of the raster model with the PJ and Conifer interface areas merged across the west. A raster model was developed to identify sagebrush land cover which is in close proximity to conifer land cover, thus suggesting a risk for conifer encroachment. To achieve this end product the following general steps were taken: 1. Extract sagebrush land cover types from GAP/ReGAP data. 2. Extract conifer land cover types (excluding those corresponding to pinyon, juniper, and pinyon-juniper) from GAP/ReGAP data. 3. Reclassify and add these raster datasets. 4. Conduct a focal statistics operation. 5. Multiply the above product by the extracted, reclassified sagebrush raster to identify sagebrush cells adjacent...
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Expansion of cheatgrass and other non-native grasses into primarily arid and semi-arid rangeland ecosystem, has presented the Great Basin and western conterminous U.S shrub and grasslands with significant problems. The short, but very early, growing period for these annual grass leaves fine fuels that promotes wildfires and deplete moisture and nutrients that otherwise would be available later to native grasses and forbs. Mapping the coverage of these annual grasses informs wildfire danger and behavior and provide valuable informtion to weed controls, and conservation. Further, spatiotemporal data cubes of this information can be mined to learn environmental envelopes for invasion and long-term ecological tipping...


map background search result map search result map Lincoln and Uinta County Invasives Native Seed Development in Wyoming Red Canyon/Elk Mountain Prescribed Burn Remote Sensing Sagebrush Habitat Products for the Gunnison Basin in Colorado (shrub height) Remote Sensing Sagebrush Habitat Products for the Gunnison Basin in Colorado (percent litter) Shrub Height - Provisional Remote Sensing Shrub/Grass NLCD Products for the Great Basin Precipitation (Mean: Annual) - 2070-2100 - RCP8.5 - Mean Precipitation (Proportion July - Sep) - 2020-2050 - RCP8.5 - Mean Precipitation (Proportion May - Oct) - 2020-2050 - RCP4.5 - Mean Precipitation (Proportion May - Oct) - 2020-2050 - RCP8.5 - Mean Precipitation (Mean: Dec - Mar) - 2020-2050 - RCP4.5 - Mean Temperature (Maximum: July) - 2020-2050 - RCP4.5 - Max Temperature (Mean: Dec - Mar) - 2070-2100 - RCP4.5 - Mean Temperature (Mean: Dec - Mar) - 2070-2100 - RCP8.5 - Mean Temperature (Mean: July - Sep) - 1980-2010 Identifying Historical Drivers of Vegetation Change to Inform Future Management of Federal Lands in the Northern Great Basin BLM GRSG BER: Sagebrush, Pinyon-Juniper, and Conifer Interface (polygon) Identifying Historical Drivers of Vegetation Change to Inform Future Management of Federal Lands in the Northern Great Basin Lincoln and Uinta County Invasives Remote Sensing Sagebrush Habitat Products for the Gunnison Basin in Colorado (shrub height) Remote Sensing Sagebrush Habitat Products for the Gunnison Basin in Colorado (percent litter) Shrub Height - Provisional Remote Sensing Shrub/Grass NLCD Products for the Great Basin BLM GRSG BER: Sagebrush, Pinyon-Juniper, and Conifer Interface (polygon) Precipitation (Mean: Annual) - 2070-2100 - RCP8.5 - Mean Precipitation (Proportion July - Sep) - 2020-2050 - RCP8.5 - Mean Precipitation (Proportion May - Oct) - 2020-2050 - RCP4.5 - Mean Precipitation (Proportion May - Oct) - 2020-2050 - RCP8.5 - Mean Precipitation (Mean: Dec - Mar) - 2020-2050 - RCP4.5 - Mean Temperature (Maximum: July) - 2020-2050 - RCP4.5 - Max Temperature (Mean: Dec - Mar) - 2070-2100 - RCP4.5 - Mean Temperature (Mean: Dec - Mar) - 2070-2100 - RCP8.5 - Mean Temperature (Mean: July - Sep) - 1980-2010