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Land Management Practices

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Assessing invasive annual grass treatment efficacy across the sagebrush biome

We are using existing datasets that span broad spatial and temporal extents to model the efficacy of invasive annual grass treatments across the sagebrush biome and the influence of environmental factors on their success. The models we develop will be used to generate maps of predicted treatment efficacy across the biome, which will be integrated into the Land Treatment Exploration Tool for land...
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Assessing invasive annual grass treatment efficacy across the sagebrush biome

We are using existing datasets that span broad spatial and temporal extents to model the efficacy of invasive annual grass treatments across the sagebrush biome and the influence of environmental factors on their success. The models we develop will be used to generate maps of predicted treatment efficacy across the biome, which will be integrated into the Land Treatment Exploration Tool for land...
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Creating range-wide predictive maps of Greater Sage-Grouse seasonal habitats

Through a collaborative effort with multiple state and federal agencies, university researchers, and individual stakeholders, we are producing a set of predictive seasonal habitat maps for greater sage-grouse ( Centrocercus urophasianus ) spanning the entirety of the species’ U.S. distribution. This is the largest habitat modeling effort of its kind for the species and uses a large, compiled...
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Creating range-wide predictive maps of Greater Sage-Grouse seasonal habitats

Through a collaborative effort with multiple state and federal agencies, university researchers, and individual stakeholders, we are producing a set of predictive seasonal habitat maps for greater sage-grouse ( Centrocercus urophasianus ) spanning the entirety of the species’ U.S. distribution. This is the largest habitat modeling effort of its kind for the species and uses a large, compiled...
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Predicting Recovery of Sagebrush Ecosystems Across the Sage-grouse Range from Remotely Sensed Vegetation Data

USGS researchers are using remote-sensing and other broadscale datasets to study and predict recovery of sagebrush across the sage-grouse range, assessing influence of disturbance, restoration treatments, soil moisture, and other ecological conditions on trends in sagebrush cover. The results will be used to inform conservation prioritization models, economic analyses, climate change projections...
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Predicting Recovery of Sagebrush Ecosystems Across the Sage-grouse Range from Remotely Sensed Vegetation Data

USGS researchers are using remote-sensing and other broadscale datasets to study and predict recovery of sagebrush across the sage-grouse range, assessing influence of disturbance, restoration treatments, soil moisture, and other ecological conditions on trends in sagebrush cover. The results will be used to inform conservation prioritization models, economic analyses, climate change projections...
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Understanding Population Trends for the Gunnison Sage-Grouse to Inform Adaptive Management

In partnership with the Bureau of Land Management and Colorado Parks and Wildlife, scientists from USGS Fort Collins Science Center and Western Ecological Research Center are applying a hierarchical monitoring framework to Gunnison sage-grouse ( Centrocercus minimus ) to evaluate population trends and inform adaptive management.
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Understanding Population Trends for the Gunnison Sage-Grouse to Inform Adaptive Management

In partnership with the Bureau of Land Management and Colorado Parks and Wildlife, scientists from USGS Fort Collins Science Center and Western Ecological Research Center are applying a hierarchical monitoring framework to Gunnison sage-grouse ( Centrocercus minimus ) to evaluate population trends and inform adaptive management.
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Wild horse and livestock influences on vegetation and wildlife in sagebrush ecosystems: Implications for refining and validating Appropriate Management Level (AML)

USGS researchers are conducting a comprehensive study of wild horse and livestock records across the greater sage-grouse range to investigate impacts on vegetation and wildlife (specifically, sage-grouse and songbirds). Researchers will use these results to evaluate Appropriate Management Levels for wild horse and burros, and projections of vegetation productivity under a changing climate.
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Wild horse and livestock influences on vegetation and wildlife in sagebrush ecosystems: Implications for refining and validating Appropriate Management Level (AML)

USGS researchers are conducting a comprehensive study of wild horse and livestock records across the greater sage-grouse range to investigate impacts on vegetation and wildlife (specifically, sage-grouse and songbirds). Researchers will use these results to evaluate Appropriate Management Levels for wild horse and burros, and projections of vegetation productivity under a changing climate.
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Developing a toolkit for coproducing actionable science to support public land management

Coproduction is a highly collaborative approach to conducting science that focuses on producing actionable products that are used to inform natural resource management decisions. This project will develop an informational toolkit to facilitate coproduction between resource managers and science providers in the context of federal public land management.
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Developing a toolkit for coproducing actionable science to support public land management

Coproduction is a highly collaborative approach to conducting science that focuses on producing actionable products that are used to inform natural resource management decisions. This project will develop an informational toolkit to facilitate coproduction between resource managers and science providers in the context of federal public land management.
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Invasive Annual Grass (IAG) Spatial Dataset Compilation and Synthesis

USGS is working closely with partners in the Bureau of Land Management (BLM), U.S. Fish and Wildlife Service (USFWS), and the Intermountain West Joint Venture (IMJV) to collect and summarize spatial datasets that describe measurable aspects of invasive annual grasses (e.g., biomass or presence) across the western United Stated and beyond. The products developed through this project provide...
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Invasive Annual Grass (IAG) Spatial Dataset Compilation and Synthesis

USGS is working closely with partners in the Bureau of Land Management (BLM), U.S. Fish and Wildlife Service (USFWS), and the Intermountain West Joint Venture (IMJV) to collect and summarize spatial datasets that describe measurable aspects of invasive annual grasses (e.g., biomass or presence) across the western United Stated and beyond. The products developed through this project provide...
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Identifying priority science needs for strengthening the science foundation for decision making in the Bureau of Land Management

The Bureau of Land Management (BLM) is committed to using science-informed decision making for the public lands and resources that it manages. Uses on these lands are varied, and decisions are complex. USGS and BLM are working together to identify specific needs for data, science, methods, and mitigation actions that can strengthen the science foundation for BLM planning and management decisions.
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Identifying priority science needs for strengthening the science foundation for decision making in the Bureau of Land Management

The Bureau of Land Management (BLM) is committed to using science-informed decision making for the public lands and resources that it manages. Uses on these lands are varied, and decisions are complex. USGS and BLM are working together to identify specific needs for data, science, methods, and mitigation actions that can strengthen the science foundation for BLM planning and management decisions.
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Optimization of Management Actions for Restoration Success and Wildlife Populations

USGS researchers, in collaboration with the Wyoming Landscape Conservation Initiative and other partners, are developing a statistically based prioritization tool that will aid agencies in their management decisions.
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Optimization of Management Actions for Restoration Success and Wildlife Populations

USGS researchers, in collaboration with the Wyoming Landscape Conservation Initiative and other partners, are developing a statistically based prioritization tool that will aid agencies in their management decisions.
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Using remotely sensed data to evaluate aspects of land health at watershed scales for the Bureau of Land Management in Colorado

The Bureau of Land Management (BLM) manages for conditions that sustain land health on over 1 million acres of public rangelands. The BLM has traditionally assessed rangelands using small-scale data, but agency guidance suggests assessment of land health standards at watershed scales. We are exploring methods to integrate remotely sensed data into BLM land health processes.
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Using remotely sensed data to evaluate aspects of land health at watershed scales for the Bureau of Land Management in Colorado

The Bureau of Land Management (BLM) manages for conditions that sustain land health on over 1 million acres of public rangelands. The BLM has traditionally assessed rangelands using small-scale data, but agency guidance suggests assessment of land health standards at watershed scales. We are exploring methods to integrate remotely sensed data into BLM land health processes.
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Developing a step-by-step process for assessing cumulative effects in the Bureau of Land Management

The National Environmental Policy Act (NEPA) requires federal agencies to assess potential impacts of proposed actions as part of their decision-making processes. Assessing potential cumulative effects is a challenging component of NEPA analyses. We are working with the Bureau of Land Management to develop a process that staff can use to strengthen cumulative effects analyses.
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Developing a step-by-step process for assessing cumulative effects in the Bureau of Land Management

The National Environmental Policy Act (NEPA) requires federal agencies to assess potential impacts of proposed actions as part of their decision-making processes. Assessing potential cumulative effects is a challenging component of NEPA analyses. We are working with the Bureau of Land Management to develop a process that staff can use to strengthen cumulative effects analyses.
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Informing the Habitat Assessment Framework Process—An Assessment to Understand Habitat Patch Composition and Configuration Requirements for Range-Wide Sage-Grouse Persistence

USGS scientists are developing multiple products to directly inform the Bureau of Land Management's Sage-grouse Habitat Assessment Framework process.
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Informing the Habitat Assessment Framework Process—An Assessment to Understand Habitat Patch Composition and Configuration Requirements for Range-Wide Sage-Grouse Persistence

USGS scientists are developing multiple products to directly inform the Bureau of Land Management's Sage-grouse Habitat Assessment Framework process.
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