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This fire risk assessment was conducted to understand how resilience and resistance and sage-grouse breeding bird habitat may inform wildland fire management decisions including preparedness, suppression, fuels management and post-fire recovery for western sagebrush communities. The assessment is based on the premise that risk = probability of a threat and the consequences of that threat (negative or positive). Fire risk was determined by the probability of a large wildfire and the consequences of fire on greater sage-grouse breeding habitat. These consequences were modified by the capacity of sage-grouse habitat to be resilient and thus recover from fire processes, and be resistant to invasive annual grasses. The...
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For the Green River Basin Landscape Conservation Design (GRB LCD) assessment, we mapped the vulnerability of the sagebrush ecosystem to oil and gas development for each 12-digit hydrologic unit. Using a vulnerability framework, we defined Sensitivity (S) as the multi-scale average of sagebrush ecosystem land cover derived from LANDFIRE Existing Vegetation Type (LANDFIRE 2014). Exposure (E) to oil and gas development was quantified as the average kernel density of active oil and gas wells at multiple scales. Potential Impact (PI) is the square root transformed product of oil and gas development exposure and sagebrush ecosystem sensitivity. Adaptive Capacity (AC) for sagebrush ecosystem was quantified as the inverse...
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The landscape permeability model represents the structural connectivity of sagebrush ecosystem habitat in the Green River Basin (including ~5-10 km boundary outside of the GRB. This model connects patches of habitat, across the landscape using resistances that represent the degree of human modification and slope (energetic costs), using the Multi-Scale Landscape Permeability model (Theobald et al. 2012; Theobald unpublished). We used two metrics: (a) patch importance and (b) betweeness centrality amongst patches. These metrics were summarized for each HUC12. This dataset represents the vulnerability of sagebrush ecosystem permeability to human modification summarized for each HUC12 watershed within the Green River...
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This feature estimates the geographic extent of the sagebrush biome in the United States. It was created for the Western Association of Fish and Wildlife Agency’s (WAFWA) Sagebrush Conservation Strategy publication as a visual for the schematic figures. This layer does not represent the realized distribution of sagebrush and should not be used to summarize statistics about the distribution or precise location of sagebrush across the landscape. This layer is intended to generalize the sagebrush biome distribution using Landsat derived classified vegetation rasters (Rigge at al. 2019), Bureau of Land Management-designated Habitat Management Areas, state-designated Priority Areas for Conservation for sage-grouse, the...
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A raster identifying previously burned areas as being 1) recovered (to sagebrush-dominant ecosystem), 2) recovering, or 3) transitioned to annual grass-dominated.
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Emerging applications of ecosystem resilience and resistance concepts in sagebrush ecosystems allow managers to better predict and mitigate impacts of wildfire and invasive annual grasses. Soil temperature and moisture strongly influence the kind and amount of vegetation, and consequently, are closely tied to sagebrush ecosystem resilience and resistance (Chambers et al. 2014, 2016). Soil taxonomic temperature and moisture regimes can be used as indicators of resilience and resistance at landscape scales to depict environmental gradients in sagebrush ecosystems that range from cold/cool-moist sites to warm-dry sites. We aggregated soil survey spatial and tabular data to facilitate broad-scale analyses of resilience...
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This raster portrays the distribution of sagebrush within the geographic extent of the sagebrush biome in the United States. It was created for the Western Association of Fish and Wildlife Agency’s (WAFWA) Sagebrush Conservation Strategy publication as a visual for the schematic figures and to calculate summary statistics. This distribution incorporates the most recently available sagebrush cover mapping (Xian et al. 2015, Rigge et al. 2019) and classified LANDFIRE EVT (Department of Ecosystem Science, University of Wyoming 2016). Both datasets were rigorously evaluated and extensive ground measurements taken to evaluate accuracy by the respective authors. We created a combined binary sagebrush distribution by classifying...


    map background search result map search result map Dataset: Index of Relative Ecosystem Resilience and Resistance across Sage-Grouse Management Zones Fire Risk Assessment for the Greater Sage-Grouse Vulnerability of Sagebrush Ecosystem to Oil and Gas Development for the Green River Basin Vulnerability of Sagebrush Ecosystem Permeability to Human Modification within the Green River Basin The Sagebrush Biome Range Extent, as Derived from Classified Landsat Imagery Sagebrush Distribution within the Biome Range Extent, as Derived from Classified Landsat Imagery State transition model of cumulative burned area to annual grass in the Great Basin region of the Western U.S. Vulnerability of Sagebrush Ecosystem to Oil and Gas Development for the Green River Basin Vulnerability of Sagebrush Ecosystem Permeability to Human Modification within the Green River Basin State transition model of cumulative burned area to annual grass in the Great Basin region of the Western U.S. Fire Risk Assessment for the Greater Sage-Grouse Sagebrush Distribution within the Biome Range Extent, as Derived from Classified Landsat Imagery The Sagebrush Biome Range Extent, as Derived from Classified Landsat Imagery Dataset: Index of Relative Ecosystem Resilience and Resistance across Sage-Grouse Management Zones