Data from: Integrating tracking and resight data enables unbiased inferences about migratory connectivity and winter range survival from archival tags
Creators
- 1. Utah State University
- 2. Cornell Lab of Ornithology*
- 3. United States Geological Survey
- 4. Town of Kiawah Island*
- 5. Smithsonian Migratory Bird Center*
Description
Archival geolocators have transformed the study of small, migratory organisms but analysis of data from these devices requires bias correction because tags are only recovered from individuals that survive and are re-captured at their tagging location. Data and code provided in this repository can be used to replicate the simulation and Painted Bunting case study results presented by Rushing et al. (2021) showing that integrating geolocator recovery data and mark–resight data enables unbiased estimates of both migratory connectivity between breeding and nonbreeding populations and region-specific survival probabilities for wintering locations.
Notes
Code for simulations and the Painted Bunting case study is presented as a single pdf file. Users can download the associated .Rdata data file to run the Painted Bunting analysis. In addition to R, users will need to install JAGS and the jagsUI R package to fit models.
Funding provided by: U.S. Fish and Wildlife Service
Crossref Funder Registry ID: http://dx.doi.org/10.13039/100000202
Award Number: NMBCA #6759
Files
AppendixS3.pdf
Files
(287.3 kB)
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Additional details
Related works
- Is cited by
- 10.1101/2020.07.23.217554 (DOI)
- Is source of
- 10.5061/dryad.5mkkwh75d (DOI)