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Alexa McKerrow

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Expert knowledge-based species-habitat relationships are used extensively to guide conservation planning, particularly when data are scarce. Purported relationships describe the initial state of knowledge, but are rarely tested. We assessed support in the data for suitability rankings of vegetation types based on expert knowledge for three terrestrial avian species in the South Atlantic Coastal Plain of the United States. Experts used published studies, natural history, survey data, and field experience to rank vegetation types as optimal, suitable, and marginal. We used single-season occupancy models, coupled with land cover and Breeding Bird Survey data, to examine the hypothesis that patterns of occupancy conformed...
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The Species Richness Maps included here are based on the Gap Analysis Project (GAP) habitat maps, which are predictions of the spatial distribution of suitable environmental and land cover conditions within the United States for individual species. Individual species habitat distribution models were summed to create the total richness for each vertebrate taxa. The summing process was coded in Python 2.7 and employed the arcpy module for geoprocessing steps. The code is documented in the log file which is included in the Sciencebase item along with the richness data for each taxa (See processing steps for file names and sciencebase urls). Mapped habitat distribution areas represent places where the environment is...
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This layer represents a crosswalk of the GAP/LANDFIRE National Terrestrial Ecosystems 2011 land cover to the Class level of the U. S. National Vegetation Classification (USNVC). At the Class level vegetation types are distinguished based on dominant growth form (for example - Forest & Woodland). In addition to the vegetation types in the map legend there are land use classes (for example - open water, agriculture) that are not a part of the USNVC. Visit these sites for more information about the National Classification, the Federal Geographic Data Committee- Vegetation Subcommittee and the USNVC Standard. These data cover the entire continental U.S. and are a continuous data layer. These raster data have a 30 m...
Categories: Data; Types: Map Service, OGC WMS Layer
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Production of woody biomass for bioenergy, whether wood pellets or liquid biofuels, has the potential to cause substantial landscape change and concomitant effects on forest ecosystems, but the landscape effects of alternative production scenarios have not been fully assessed. We simulated landscape change from 2010 to 2050 under five scenarios of woody biomass production for wood pellets and liquid biofuels in North Carolina, in the southeastern United States, a region that is a substantial producer of wood biomass for bioenergy and contains high biodiversity. Modeled scenarios varied biomass feedstocks, incorporating harvest of ‘conventional’ forests, which include naturally regenerating as well as planted forests...
Categories: Publication; Types: Citation; Tags: GCB Bioenergy
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