Data from: Integrating tracking and resight data enables unbiased inferences about migratory connectivity and winter range survival from archival tags
Rushing, Clark et al. (2022), Data from: Integrating tracking and resight data enables unbiased inferences about migratory connectivity and winter range survival from archival tags, Dryad, Dataset, https://doi.org/10.5061/dryad.5mkkwh75d
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.
All Painted Bunting data necessary to fit the integrated model (mark-resight capture histories, geolocator assignments, covariate values) are included as a single .Rdata file. See Rushing et al. (2021) for details about data collection and processing.
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.
U.S. Fish and Wildlife Service, Award: NMBCA #6759