Filters: partyWithName: Michael S O'Donnell (X) > partyWithName: U.S. Geological Survey (X)
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We present five hierarchical demarcations of greater sage-grouse population structure, representing the spatial structure of populations which can exist due to differences in dispersal abilities, landscape configurations, and mating behavior. These demarcations represent Thiessen polygons of graph constructs (least-cost path [LCP] minimum spanning trees [MST; LCP-MST]) representing greater sage-grouse population structure. Because the graphs included locational information of sage-grouse breeding sites, we have provided polygons of the population structure. We also present two results using graph analytics representing node/connectivity importance based on our population structure. Understanding wildlife population...
Genetic variation is a well-known indicator of population fitness yet is not typically included in monitoring programs for sensitive species. Additionally, most programs monitor populations at one scale, which can lead to potential mismatches with ecological processes critical to species’ conservation. Recently developed methods generating hierarchically nested population units (i.e., clusters of varying scales) for greater sage-grouse (Centrocercus urophasianus) have identified population trend declines across spatiotemporal scales to help managers target areas for conservation. The same clusters used as a proxy for spatial scale can alert managers to local units (i.e., fine-scale) with low genetic diversity relative...
Categories: Data Release - Revised;
Tags: California,
Centrocercus urophasianus,
Colorado,
Greater sage-grouse,
Idaho,
We provide a collection of data reflecting estimates of soil-climate properties (moisture, temperature, and regimes) based on climate normals (1981-2010). Specifically, we provide estimates for soil moisture (monthly, seasonal, and annual), trends of spring and growing season soil moisture (Theil-Sen estimates), soil temperature and moisture regimes (STMRs; discrete classes defined by United States Department of Agriculture [USDA] Natural Resources Conservation Service [NRCS]), seasonal Thornthwaite moisture index (TMI; precipitation minus PET), and seasonality of TMI and soil moisture (30-meter rasters). Moisture values were estimated using our spatial implementation of the Newhall simulation model that relies...
A dataset comprised of road centerlines in Wyoming, USA, digitized to 2015 aerial photography from the National Agriculture Imagery Program. This dataset is an update to a former U.S. Geological Survey Data Series (“Large scale Wyoming transportation data: a resource planning tool”: O'Donnell and others, 2014) digitized to 2009 aerial photography. The U.S. Geological Survey Fort Collins Science Center created statewide roads data for the Bureau of Land Management Wyoming State Office using 2015 aerial photography from the National Agriculture Imagery Program. To ensure a systematic and repeatable approach of capturing roads on the landscape using on-screen digitizing from true color National Agriculture Imagery...
Sagebrush recovery analyzed with a dynamic reference approach in southwestern Wyoming, USA 1985-2018
Identifying ecologically relevant reference sites is important for evaluating ecosystem recovery, but the relevance of references that are temporally static is unclear in the context of vast landscapes with disturbance and environmental contexts varying over space and time. This question is pertinent for landscapes dominated by sagebrush (Artemisia spp.) which face a suite of threats from disturbance and development but also have lengthy recovery times. Here, we applied a dynamic reference approach to studying and projecting recovery of sagebrush on former oil and gas well pads in southwestern Wyoming, USA, using over 3 decades of remote sensing data (1985–2018). We also used quantile regression to evaluate factors...
We produced 13 hierarchically nested cluster levels that reflect the results from developing a hierarchical monitoring framework for greater sage-grouse across the western United States. Polygons (clusters) within each cluster level group a population of sage-grouse leks (sage-grouse breeding grounds) and each level increasingly groups lek clusters from previous levels. We developed the hierarchical clustering approach by identifying biologically relevant population units aimed to use a statistical and repeatable approach and include biologically relevant landscape and habitat characteristics. We desired a framework that was spatially hierarchical, discretized the landscape while capturing connectivity (habitat...
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