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The USGS Sagebrush Data Viewer is a tool intended to give partners and stakeholders the ability to view spatial dataset developed by USGS and our partners. Users can easily view data layer, the associated metadata, and find links to where the data is stored (either on Sciencebase or the authoritative source), and in many cases access the data for download. The Data Viewer is a collaboratively driven product, so please provide feedback if there is new spatial data that should be included.
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More than 23,000 field measurements of cheatgrass cover were acquired from various agencies and research groups across the study area and reviewed for use in the mapping effort. A subset of 6650 field measurements were used to statistically evaluate relationships between cheatgrass and a suite of 50 biophysical and remotely sensed (NDVI) variables. Variables were examined for pairwise correlation and highly correlated variables were discarded from the analysis. Eighteen of the 50 variables were selected to construct a Generalized Linear Model to classify cheatgrass occurrence. A decision rule based on strength of class membership was used to classify the study area as containing either 0-2% or >2% cheatgrass cover....
We developed habitat suitability models for invasive plant species selected by Department of Interior land management agencies. We applied the modeling workflow developed in Young et al. 2020 to species not included in the original case studies. Our methodology balanced trade-offs between developing highly customized models for a few species versus fitting non-specific and generic models for numerous species. We developed a national library of environmental variables known to physiologically limit plant distributions and relied on human input based on natural history knowledge to further narrow the variable set for each species before developing habitat suitability models. We developed models using five algorithms...
Tags: SageDAT-data
We developed habitat suitability models for invasive plant species selected by Department of Interior land management agencies. We applied the modeling workflow developed in Young et al. 2020 to species not included in the original case studies. Our methodology balanced trade-offs between developing highly customized models for a few species versus fitting non-specific and generic models for numerous species. We developed a national library of environmental variables known to physiologically limit plant distributions and relied on human input based on natural history knowledge to further narrow the variable set for each species before developing habitat suitability models. We developed models using five algorithms...
Tags: SageDAT-data


map background search result map search result map Cheatgrass Across the Range of the Greater Sage-Grouse Species distribution model of the invasive annual grass Bromus tectorum (cheatgrass) in the Mojave Desert Species distribution model of the invasive annual grass Bromus tectorum (cheatgrass) in the Mojave Desert Cheatgrass Across the Range of the Greater Sage-Grouse