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- W2181769832 abstract "To determine the potential effects of climate change and development on Arctic-breeding shorebirds, we developed geospatial predictive models for nine species of breeding shorebirds throughout the Arctic Coastal Plain of Alaska (American Golden-Plover [Pluvialis dominica], Black-bellied Plover [Pluvialis squatarola], Dunlin [Calidris alpina], Long-billed Dowitcher [Limnodromus scolopaceus], Pectoral Sandpiper [Calidris melanotos], Red Phalarope [Phalaropus fulicarius], Red-necked Phalarope [Phalaropus lobatus], Semipalmated Sandpiper [Calidris pusilla], and Stilt Sandpiper [Calidris himantopus]). To develop these models, we assembled authoritative, spatially linked (GIS) databases on shorebird presence/absence, density, and species richness from 534 sites surveyed as part of the Program for Regional and International Shorebird Monitoring (PRISM) between 1998 and 2008. We identified and acquired spatially linked (GIS) databases representing priority physical and ecological variables that are biologically meaningful to shorebird presence/absence, density, and species richness. We developed statistical modeling approaches to determine associations between presence/absence, density, and species richness of shorebird species, and these physical and ecological variables. Currently, we are using the above products to develop species-specific predictive models and assess the predictive performance of the top-ranked models. Generation of these predictive maps will allow us to identify critical conservation areas across the Arctic Coastal Plain. Future work will focus upon comparing selection patterns of shorebird species, comparing predictability and accuracy of predictive models to assess differences in modeling performance based upon different response variables (e.g., presence/absence, density, species richness), and predicting changes in shorebird species distributions using currently developed climate change and development scenarios. Citation: Saalfeld, S. T., D. T. Saalfeld, R. B. Lanctot, and S. Brown. 2011. 2010 report: Development of Shorebird Distribution Maps for the North Slope of Alaska Using Geospatial Habitat Modeling: The First Step in Assessing Effects of Climate Change. Unpublished report by the U.S. Fish and Wildlife Service and Manomet Center for Conservation Sciences to the Arctic Landscape Conservation Cooperative. U.S. Fish and Wildlife Service, Anchorage, AK. Geospatial Habitat Modeling LCC Report Page 2" @default.
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- W2181769832 date "2011-01-01" @default.
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- W2181769832 title "2010 report: Development of Shorebird Distribution Maps for the North Slope of Alaska Using Geospatial Habitat Modeling: The First Step in Assessing Effects of Climate Change" @default.
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