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Habitat loss and fragmentation are widely recognized as among the most important threats to global biodiversity. New analytical approaches are providing improved ability to predict the effects of landscape change on population connectivity at vast spatial extents. This paper presents an analysis of population connectivity for three species of conservation concern [swift fox (Vulpes velox); lesser prairie-chicken (Tympanuchus pallidicinctus); massasuaga (Sistrurus catenatus)] across the American Great Plains region. We used factorial least-cost path and resistant kernel analyses to predict effects of landscape conditions on corridor network connectivity. Our predictions of population connectivity provide testable...
Categories: Data,
Project,
Publication;
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2010,
CO-01,
CO-02,
CO-03,
CO-04,
The availability of output from climate model ensembles,such as phases 3 and 5 of the Coupled Model Intercomparison Project(CMIP3 and CMIP5), has greatly expanded information about future projections,but there is no accepted blueprint for how this data should be utilized.The multi-model average is themost commonly cited single estimate of future conditions,but higher-order moments representing thevariance and skewness of the distribution of projections provide important information about uncertainty. We have analyzed a set of statistically downscaled climate model projections from the CMIP3 archive to assess extreme weather events at a level aimed to be appropriate for decisionmakers. Our analysis uses the distribution...
Categories: Data,
Project,
Publication;
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2012,
2013,
Decision Support,
EARTH SCIENCE > LAND SURFACE > LANDSCAPE,
Federal resource managers,
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