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Globally, groundwater dependent ecosystems (GDEs) are increasingly vulnerable to groundwater extraction and land use practices. Groundwater supports these ecosystems by providing inflow, which can maintain water levels, water temperature, and chemistry necessary to sustain the biodiversity that they support. Many aquatic systems receive groundwater as a portion of base flow, and in some systems (e.g., springs, seeps, fens) the connection with groundwater is significant and important to the system’s integrity and persistence. Groundwater management decisions for human use may not consider ecological effects of those actions on GDEs, which rely on groundwater to maintain ecological function. This disconnect between...
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Climate change is already affecting species in many ways. Because individual species respond to climate change differently, some will be adversely affected by climate change whereas others may benefit. Successfully managing species in a changing climate will require an understanding of which species will be most and least impacted by climate change. Although several approaches have been proposed for assessing the vulnerability of species to climate change, it is unclear whether these approaches are likely to produce similar results. In this study, we compared the relative vulnerabilities to climate change of 76 species of birds, mammals, amphibians, and trees based on three different approaches to assessing vulnerability....
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These data represent the extent of urbanization (for the years indicated) predicted by the model SLEUTH, developed by Dr. Keith C. Clarke, at the University of California, Santa Barbara, Department of Geography and modified by David I. Doato of the United States Geological Survey (USGS) Eastern Geographic Science Center (EGSC). Further model modification and implementation was performed at the Biodiversity and Spatial Information Center at North Carolina State University. These data have been reclassified to only show current urban and probability of urbanization >80%). More information about these data (along with downloadable ESRI GRID files) can be found at http://www.basic.ncsu.edu/dsl/urb.html
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These data represent the extent of urbanization (for the years indicated) predicted by the model SLEUTH, developed by Dr. Keith C. Clarke, at the University of California, Santa Barbara, Department of Geography and modified by David I. Doato of the United States Geological Survey (USGS) Eastern Geographic Science Center (EGSC). Further model modification and implementation was performed at the Biodiversity and Spatial Information Center at North Carolina State University. More information about these data (along with downloadable ESRI GRID files) can be found at http://www.basic.ncsu.edu/dsl/urb.html
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This dataset represents the extent of urbanization (for the year indicated) predicted by the model SLEUTH, developed by Dr. Keith C. Clarke, at the University of California, Santa Barbara, Department of Geography and modified by David I. Donato of the United States Geological Survey (USGS) Eastern Geographic Science Center (EGSC). Further model modification and implementation was performed at the Biodiversity and Spatial Information Center at North Carolina State University. Purpose: Urban growth probability extents throughout the 21st century for the Southeast Regional Assessment Project, which encompasses the states of Alabama, Florida, Georgia, Kentucky, Mississippi, North Carolina, South Carolina, Tennessee...
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This dataset represents the extent of urbanization (for the year indicated) predicted by the model SLEUTH, developed by Dr. Keith C. Clarke, at the University of California, Santa Barbara, Department of Geography and modified by David I. Donato of the United States Geological Survey (USGS) Eastern Geographic Science Center (EGSC). Further model modification and implementation was performed at the Biodiversity and Spatial Information Center at North Carolina State University.Urban growth probability extents throughout the 21st century were projected for the Southeast Regional Assessment Project (SERAP), which encompasses all or parts of the states of Alabama, Arkansas, Florida, Georgia, Illinois, Indiana, Kentucky,...
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This map contains projected habitat suitability for the greater sage-grouse (centrocercus urophasianus) under the Third Generation Coupled Global Climate Model (CGCM 3.1). In support of the Pacific Northwest Climate Change Vulnerability Assessment (www.climatevulnerability.org), we developed a method to model habitat suitability in which we built correlative climate suitability models for 366 terrestrial animal species at a relatively coarse spatial resolution for the entire North American continent using species range maps and 23 bioclimatic variables. We then applied the models to both current and projected future climate data downscaled to a moderately fine resolution for western North America. We refined the...
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This map contains historical habitat suitability for the greater sage-grouse (centrocercus urophasianus). In support of the Pacific Northwest Climate Change Vulnerability Assessment (www.climatevulnerability.org), we developed a method to model habitat suitability in which we built correlative climate suitability models for 366 terrestrial animal species at a relatively coarse spatial resolution for the entire North American continent, using species range maps and 23 bioclimatic variables. We then applied the models to both current and projected future climate data downscaled to a moderately fine resolution for western North America. We refined the resulting climate suitability projections by applying a filter that...


    map background search result map search result map Understanding Climate Change Vulnerability in the Pacific Northwest: A Comparison of Three Approaches SLEUTH Projected Urban Growth _ old Data set for Developing Long-term Urbanization Scenarios for the Caribbean LCC as Part of the Southeast Regional Assessment Project SLEUTH Projected Urban Growth Historical habitat suitability for the Greater Sage Grouse, 1961-1990 Projected future habitat suitability for the Greater Sage Grouse, 2070-2099, based on the CGCM31 climate model SLEUTH Projected Urban Growth [Subset >80% Probability of Urbanization] Distribution Models Predicting Groundwater Influenced Ecosystems in the Northeastern United States Distribution Models Predicting Groundwater Influenced Ecosystems in the Northeastern United States Data set for Developing Long-term Urbanization Scenarios for the Caribbean LCC as Part of the Southeast Regional Assessment Project SLEUTH Projected Urban Growth [Subset >80% Probability of Urbanization] SLEUTH Projected Urban Growth _ old Projected future habitat suitability for the Greater Sage Grouse, 2070-2099, based on the CGCM31 climate model Historical habitat suitability for the Greater Sage Grouse, 1961-1990 Understanding Climate Change Vulnerability in the Pacific Northwest: A Comparison of Three Approaches SLEUTH Projected Urban Growth