Filters: Tags: Monitoring Avian Productivity and Survivorship (X)
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Abstract (from Ecology and Evolution) Climate variation and trends affect species distribution and abundance across large spatial extents. However, most studies that predict species response to climate are implemented at small spatial scales or are based on occurrence‐environment relationships that lack mechanistic detail. Here, we develop an integrated population model (IPM) for multi‐site count and capture‐recapture data for a declining migratory songbird, Wilson's warbler (Cardellina pusilla), in three genetically distinct breeding populations in western North America. We include climate covariates of vital rates, including spring temperatures on the breeding grounds, drought on the wintering range in northwest...
Data files in this project were used in an integrated population model for three breeding populations of Wilson’s Warbler (Cardellina pusilla). Data span the years 1992-2008. Data include counts from the North American Breeding Bird Survey (BBS; https://www.pwrc.usgs.gov/BBS/RawData/; wiwa_bbs.csv), adult capture histories (wiwa_ch.csv) and age-specific capture data (wiwa_pdat.csv) from the Monitoring Avian Productivity and Survivorship program (MAPS; http://www.birdpop.org/pages/maps.php), and covariate data derived from the ClimateNA (https://sites.ualberta.ca/~ahamann/data/climatena.html; wiwa_cmd_wt.csv and wiwa_tave_sp.csv) and National Centers for Environmental Prediction (NCEP) ⁄ National Center for Atmospheric...
Distribution of Monitoring Avian Productivity and Survivorship (MAPS) program (www.birdpop.org/maps.htm). The regional outline includes states comprising USFWS Region 3 plus 250km buffer.
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