Filters: Tags: occupancy model (X) > Types: Map Service (X)

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Prediction of raven occurrence intersected with high impact areas for sage-grouse populations in the Great Basin, 2007-2016 (Fig. 5A) Predictions of raven occurrence intersected with high impact areas for sage-grouse populations. The index highlights regions where elevated raven occurrence is likely to impact breeding sage-grouse. Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: Great Basin, biota, geographic information systems (GIS), geospatial analysis, habitat alteration, All tags... human impacts, occupancy model, predator-prey interactions, sensitive prey, shrublands, wildlife, Fewer tags Raven study site locations in the Great Basin, derived from survey locations 2007 - 2016 Minimum convex polygons created from survey locations at associated study sites. Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Great Basin, boundaries, geographic information systems (GIS), geospatial analysis, habitat alteration, All tags... human impacts, occupancy model, predator-prey interactions, sensitive prey, shrublands, wildlife, Fewer tags Predictions of raven occurrence in the absence of anthropogenic environmental effects in the Great Basin, 2007-2016 (Fig. 4B) Predictions of raven occurrence in the absence of anthropogenic environmental effects. Raven point counts were related to landscape covariates using Bayesian hierarchical occupancy models and the means of the posterior distributions for relevant effects were used to generate the predictions. Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: Great Basin, biota, geographic information systems (GIS), geospatial analysis, habitat alteration, All tags... human impacts, occupancy model, predator-prey interactions, sensitive prey, shrublands, wildlife, Fewer tags Predictions of raven occurrence in the absence of natural environmental effects in the Great Basin, 2007-2016 (Fig. 4A) Predictions of raven occurrence in the absence of natural environmental effects. Raven point counts were related to landscape covariates using Bayesian hierarchical occupancy models and the means of the posterior distributions for relevant effects were used to generate the predictions. Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: Great Basin, biota, geographic information systems (GIS), geospatial analysis, habitat alteration, All tags... human impacts, occupancy model, predator-prey interactions, sensitive prey, shrublands, wildlife, Fewer tags Regional decision support tool for identifying vulnerabilities of riverine habitat and fishes to climate change Climate change is expected to alter the distributions and community composition of stream fishes in the Great Lakes region in the 21st century, in part as a result of altered hydrological systems (stream temperature, streamflow, and habitat). Resource managers need information and tools to understand where fish species and stream habitats are expected to change under future conditions. Fish sample collections and environmental variables from multiple sources across the United States Great Lakes Basin were integrated and used to develop empirical models to predict fish species occurrence under present-day climate conditions. Random Forests models were used to predict the probability of occurrence of 13 lotic fish... Categories: Data, Project; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service, Shapefile; Tags: 2011, 2011, 2012, 2012, 2013, All tags... 2013, Applications and Tools, Conservation NGOs, Decision Support, EARTH SCIENCE > LAND SURFACE > LANDSCAPE, Federal resource managers, Great Lakes, Interested public, LCC, LCC Network Science Catalog, Landscape Conservation Cooperatives, Private land owners, Project, Regional & county planners, State agencies, Tribes, Upper Midwest and Great Lakes Landscape Conservation Cooperative, climate change, completed, decision-support tool, environment, environment, fish occurrence, fishes, great lakes, lotic, occupancy model, occupancy model, occupancy model, riverine habitat, riverine habitat, rivers, upper midwest, vulnerability, Fewer tags Report: Regional decision support tool for identifying vulnerabilities of riverine habitat and fishes to climate change Climate change is expected to alter the distributions and community composition of stream fishes in the Great Lakes region in the 21st century, in part as a result of altered hydrological systems (stream temperature, streamflow, and habitat). Resource managers need information and tools to understand where fish species and stream habitats are expected to change under future conditions. Fish sample collections and environmental variables from multiple sources across the United States Great Lakes Basin were integrated and used to develop empirical models to predict fish species occurrence under present-day climate conditions. Random Forests models were used to predict the probability of occurrence of 13 lotic fish... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: 2011, 2011, 2012, 2012, 2013, All tags... 2013, Applications and Tools, Conservation NGOs, Decision Support, EARTH SCIENCE > LAND SURFACE > LANDSCAPE, Federal resource managers, Great Lakes, Interested public, LCC, LCC Network Science Catalog, Landscape Conservation Cooperatives, Private land owners, Regional & county planners, Report, State agencies, Tribes, Upper Midwest and Great Lakes Landscape Conservation Cooperative, climate change, completed, decision-support tool, environment, environment, fish occurrence, fishes, great lakes, lotic, occupancy model, riverine habitat, riverine habitat, rivers, upper midwest, vulnerability, Fewer tags Anthropogenic influence on raven occurrence index within sage-grouse concentration areas in the Great Basin, 2007-2016 (Fig. 5B) Predictions of an anthropogenic influence on raven occurrence index intersected with sage-grouse concentration areas. The anthropogenic influence index indicates where resource subsidies are contributing the most to raven occurrence. Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: Great Basin, biota, geographic information systems (GIS), geospatial analysis, habitat alteration, All tags... human impacts, occupancy model, predator-prey interactions, sensitive prey, shrublands, wildlife, Fewer tags Predicted probability of raven occurrence across the Great Basin, USA, 2007 – 2016 (Fig. 3) Raven point counts were related to landscape covariates using Bayesian hierarchical occupancy models and the mean of the predicted posterior distribution for raven occurrence was used to visualize results. Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: Great Basin, farming, geographic information systems (GIS), geospatial analysis, habitat alteration, All tags... human impacts, occupancy model, predator-prey interactions, sensitive prey, shrublands, wildlife, Fewer tags Anthropogenic influence index for raven populations in the Great Basin, 2007-2016 (Fig. 4C) An index of anthropogenic influences on raven populations. Raven point counts were related to landscape covariates using Bayesian hierarchical occupancy models and the means of the posterior distributions for relevant effects were used to generate the predictions. Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: Great Basin, biota, geographic information systems (GIS), geospatial analysis, habitat alteration, All tags... human impacts, occupancy model, predator-prey interactions, sensitive prey, shrublands, wildlife, Fewer tags