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Greater sage-grouse population change (percent change) over 50-years in a high oil and gas development, low population estimate scenario, and with effects of climate change under an RCP 8.5 scenario (2050) This data set defines boundaries of oil and gas project areas, greater sage-grouse (Centrocercus urophasianus) core areas, and non-core and non-project areas within the Wyoming Landscape Conservation Initiative (WLCI; southwestern Wyoming). Specifically, the data represents results from the manuscript “Combined influences of future oil and gas development and climate on potential Sage-grouse declines and redistribution” for high oil and gas development, low population size, and with effects of climate change under an RCP 8.5 scenario (2050) . The oil and gas development scenario were based on an energy footprint model that simulates well, pad, and road patterns for oil and gas recovery options that vary in well... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Climate, Cumulative effects, Distribution, Greater sage-grouse, Individual based model, All tags... Landscape change, Multiple stressors, Oil and gas development, United States, WLCI, WY, Wyoming, Wyoming Landscape Conservation Initiative, biota, climatologyMeteorologyAtmosphere, environment, Fewer tags Greater sage-grouse population change (percent change) in a moderate oil and gas development, high population estimate scenario, and with no effects of climate change (2006-2062) This data set defines boundaries of oil and gas project areas, greater sage-grouse (Centrocercus urophasianus) core areas, and non-core and non-project areas within the Wyoming Landscape Conservation Initiative (WLCI; southwestern Wyoming). Specifically , the data represents results from the manuscript “Combined influences of future oil and gas development and climate on potential Sage-grouse declines and redistribution” for medium oil and gas development, high population size, and no climate component. The oil and gas development scenario were based on an energy footprint model that simulates well, pad, and road patterns for oil and gas recovery options that vary in well types (vertical and directional) and number... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Climate, Cumulative effects, Distribution, Greater sage-grouse, Individual based model, All tags... Landscape change, Multiple stressors, Oil and gas development, United States, WLCI, WY, Wyoming, Wyoming Landscape Conservation Initiative, biota, climatologyMeteorologyAtmosphere, environment, Fewer tags Hierarchically nested and biologically relevant monitoring frameworks for Greater Sage-grouse, 2019, Cluster Level 1 (Nevada), Interim We developed a hierarchical clustering approach that identifies biologically relevant landscape units that can 1) be used as a long-term population monitoring framework, 2) be repeated across the Greater sage-grouse range, 3) be used to track the outcomes of local and regional populations by comparing population changes across scales, and 4) be used to inform where to best spatially target studies that identify the processes and mechanisms causing population trends to change among spatial scales. The spatial variability in the amount and quality of habitat resources can affect local population success and result in different population growth rates among smaller clusters. Equally so, the spatial structure and ecological... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Centrocercus urophasianus, Greater sage-grouse, Nevada, United States, adaptive management, All tags... biota, boundaries, graph theory, habitat connectivity, hierarchical sampling units, population monitoring, Fewer tags Active channel in the Lower Virgin River after a 40 yr flood (December 2010) Active channel as defined by remote sensing after (2011) a 40 year return period flood (December 2010) within the lower Virgin River, Nevada. Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Arizona, Nevada, Virgin River, active channel, biota, All tags... lidar, orthophotography, remote sensing, Fewer tags Hierarchically nested and biologically relevant monitoring frameworks for Greater Sage-grouse, 2019, Cluster Level 3 (Nevada), Interim nv_lvl3_moderatescale: Nevada hierarchical cluster level 3 (moderate-scale) for Greater sage-grouse We developed a hierarchical clustering approach that identifies biologically relevant landscape units that can 1) be used as a long-term population monitoring framework, 2) be repeated across the Greater sage-grouse range, 3) be used to track the outcomes of local and regional populations by comparing population changes across scales, and 4) be used to inform where to best spatially target studies that identify the processes and mechanisms causing population trends to change among spatial scales. The spatial variability in the amount and quality of habitat resources can affect local population success and result in... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Centrocercus urophasianus, Greater sage-grouse, Nevada, United States, adaptive management, All tags... biota, boundaries, graph theory, habitat connectivity, hierarchical sampling units, population monitoring, Fewer tags Hierarchically nested and biologically relevant monitoring frameworks for Greater Sage-grouse, 2019, Cluster Level 5 (Nevada), Interim nv_lvl5_coarsescale: Nevada hierarchical cluster level 5 (coarse-scale) for Greater sage-grouse We developed a hierarchical clustering approach that identifies biologically relevant landscape units that can 1) be used as a long-term population monitoring framework, 2) be repeated across the Greater sage-grouse range, 3) be used to track the outcomes of local and regional populations by comparing population changes across scales, and 4) be used to inform where to best spatially target studies that identify the processes and mechanisms causing population trends to change among spatial scales. The spatial variability in the amount and quality of habitat resources can affect local population success and result in different... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Centrocercus urophasianus, Greater sage-grouse, Nevada, United States, adaptive management, All tags... biota, boundaries, graph theory, habitat connectivity, hierarchical sampling units, population monitoring, Fewer tags Hierarchically nested and biologically relevant monitoring frameworks for Greater Sage-grouse, 2019, Cluster Level 10 (Wyoming), Interim wy_lvl10_coarsescale: Wyoming hierarchical cluster level 10 (coarse-scale) for Greater sage-grouse We developed a hierarchical clustering approach that identifies biologically relevant landscape units that can 1) be used as a long-term population monitoring framework, 2) be repeated across the Greater sage-grouse range, 3) be used to track the outcomes of local and regional populations by comparing population changes across scales, and 4) be used to inform where to best spatially target studies that identify the processes and mechanisms causing population trends to change among spatial scales. The spatial variability in the amount and quality of habitat resources can affect local population success and result in... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Centrocercus urophasianus, Greater sage-grouse, United States, Wyoming, adaptive management, All tags... biota, boundaries, graph theory, habitat connectivity, hierarchical sampling units, population monitoring, Fewer tags Hierarchically nested and biologically relevant monitoring frameworks for Greater Sage-grouse, 2019, Cluster Level 4 (Nevada), Interim nv_lvl4_moderatescale: Nevada hierarchical cluster level 4 (moderate-scale) for Greater sage-grouse We developed a hierarchical clustering approach that identifies biologically relevant landscape units that can 1) be used as a long-term population monitoring framework, 2) be repeated across the Greater sage-grouse range, 3) be used to track the outcomes of local and regional populations by comparing population changes across scales, and 4) be used to inform where to best spatially target studies that identify the processes and mechanisms causing population trends to change among spatial scales. The spatial variability in the amount and quality of habitat resources can affect local population success and result in... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Centrocercus urophasianus, Greater sage-grouse, Nevada, United States, adaptive management, All tags... biota, boundaries, graph theory, habitat connectivity, hierarchical sampling units, population monitoring, Fewer tags Hierarchically nested and biologically relevant monitoring frameworks for Greater Sage-grouse, 2019, Cluster Level 3 (Wyoming), Interim wy_lvl3_moderatescale: Wyoming hierarchical cluster level 3 (moderate-scale) for Greater sage-grouse We developed a hierarchical clustering approach that identifies biologically relevant landscape units that can 1) be used as a long-term population monitoring framework, 2) be repeated across the Greater sage-grouse range, 3) be used to track the outcomes of local and regional populations by comparing population changes across scales, and 4) be used to inform where to best spatially target studies that identify the processes and mechanisms causing population trends to change among spatial scales. The spatial variability in the amount and quality of habitat resources can affect local population success and result... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Centrocercus urophasianus, Greater sage-grouse, United States, Wyoming, adaptive management, All tags... biota, boundaries, graph theory, habitat connectivity, hierarchical sampling units, population monitoring, Fewer tags Bat Occupancy Model Predictions for Colorado, acoustic data from 2016-2017 We analyzed detection/non-detection data from acoustic surveys of bat species in Colorado during the summers of 2016 and 2017. The goal of this analysis is to create species distribution maps estimating the probability of occupancy across the state for each species. We fit a community occupancy model using both years of data from all the available species. Spatially explicit covariates were included to explain heterogeneity in the probabilities of occupancy and nightly covariates were used to model detection. We also allowed for spatial patterns in the probability of occupancy for each species in order to account for the ranges of many species including only a portion of Colorado. This is also useful for explaining... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Colorado, Ecology, Land Use Change, USGS Science Data Catalog (SDC), biota Remotely Sensed burn severity data from Tolhuaca National Park (Chile) Fire (2002) This data was used in the analysis for the article “Burn Severity Controls on Post-fire Araucaria-Nothofagus Regeneration in the Andean Cordillera” by T. Assal, M. Gonzalez and J. Sibold. The aim of the study was to investigate post-fire regeneration patterns of forests on the west slope of the Andes; to evaluate the relationship between remotely sensed burn severity and forest mortality; and to assess controls of burn severity on forest response at local spatio-temporal scales. This dataset reflects the burn severity calculated from Landsat data as part of the analysis. Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Chile, Landsat, Tolhuaca National Park, Tolhuaca National Park, biota, All tags... burn severity model, Fewer tags « 1 2