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Daniel W. Linden

Abstract (from ESA): Estimating population size and resource selection functions (RSFs) are common approaches in applied ecology for addressing wildlife conservation and management objectives. Traditionally such approaches have been undertaken separately with different sources of data. Spatial capture–recapture (SCR) provides a hierarchical framework for jointly estimating density and multi‐scale resource selection, and data integration techniques provide opportunities for improving inferences from SCR models. Despite the added benefits, there have been few applications of SCR‐RSF integration, potentially due to complexities of specifying and fitting such models. Here, we extend a previous integrated SCR‐RSF model...
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The study seeks to provide a retrospective analysis of the relationships among bird abundance and distribution and changes in land cover and climate in the upper Midwest and Great Lakes region. The resultant models will be used to provide spatially explicit forecasts of future avian responses. Using data from the North American Breeding Bird Survey (BBS) and a hierarchical modeling framework that accounts for imperfect detection during surveys, species distribution and abundance is estimated. Historic aerial photos are being digitized and classified to measure landscape covariates. Once species-specific relationships between distribution parameters (i.e., occupancy, colonization, extinction) and landscape covariates...
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The study seeks to provide a retrospective analysis of the relationships among bird abundance and distribution and changes in land cover and climate in the upper Midwest and Great Lakes region. The resultant models will be used to provide spatially explicit forecasts of future avian responses. Using data from the North American Breeding Bird Survey (BBS) and a hierarchical modeling framework that accounts for imperfect detection during surveys, species distribution and abundance is estimated. Historic aerial photos are being digitized and classified to measure landscape covariates. Once species-specific relationships between distribution parameters (i.e., occupancy, colonization, extinction) and landscape covariates...
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