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Somveille, Marius 
ORCID: https://orcid.org/0000-0002-6868-5080, Bossu, Christen M., DeSaix, Matthew G., Alvarado, Allison H., Gómez Villaverde, Sergio, Rodríguez Otero, Genaro, Hernández-Baños, Blanca E., Smith, Thomas B. and Ruegg, Kristen C.
(2024)
Broad-scale seasonal climate tracking is a consequence, not a driver, of avian migratory connectivity.
Ecology Letters, 27 (8).
ISSN 1461-023X
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Abstract
Tracking climatic conditions throughout the year is often assumed to be an adaptive behaviour underlying seasonal migration patterns in animal populations. We investigate this hypothesis using genetic markers data to map migratory connectivity for 27 genetically distinct bird populations from 7 species. We found that the variation in seasonal climate tracking across our suite of populations at a continental scale is more likely a consequence, rather than a direct driver, of migratory connectivity, which is primarily shaped by energy efficiency—i.e., optimizing the balance between accessing available resources and movement costs. However, our results also suggest that regional-scale seasonal precipitation tracking affects population migration destinations, thus revealing a potential scale dependency of ecological processes driving migration. Our results have implications for the conservation of these migratory species under climate change, as populations tracking climate seasonally are potentially at higher risk if they adapt to a narrow range of climatic conditions.
| Item Type: | Article |
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| Additional Information: | Data Availability Statement: The eBird Status and Trends data products are open-access and free to use for research. They are downloadable through the R package ebirdst. The genetic data is archived in public repositories as follows. For Yellow Warbler, raw reads from RAD-Seq data are available through the NCBI Sequence Read Archive (PRJNA421926) and filtered SNP datasets from SNPtype assays and scripts used for analysing data are available at https://github.com/rachaelbay/Yellow-Warbler-Climate-Tracking or archived on zenodo (https://doi.org/10.5281/zenodo.4473204). For Painted Bunting, the genetic data and input files for population assignment to distinct genetic clusters can be found on Dryad https://doi.org/10.5068/D1P96N. For Common Yellowthroat, the genetic data is available at https://datadryad.org/stash/share/xmCoXi1USvuuM5-83fhuRsI3XF84k43qv1jxi5PBoa0. For Willow Flycatcher, the genome and annotations are available through NCBI (accession number: PWAB00000000), population-level RAD-Seq data are available through NCBI's Sequence Read Archive (http://www.ncbi.nlm.nih.gov/bioproject/453612), and all codes necessary to recreate the results are available at https://doi.org/10.5281/zenodo.4656570. For Wilson's Warbler, the data and scripts for population genomic analysis (from SNP selection to estimation of population genomic parameters) are available on GitHub (https://github.com/eriqande/wiwa-popgen) and Dryad (http://doi.org/10.5061/dryad.j5d33). For American Redstart, genomic data have been deposited in the Dryad repository https://doi.org/10.5061/dryad.gmsbcc2td, and all analysis scripts have been made available at https://github.com/mgdesaix/amre-mc. For Hermit Thrush, genomic data have been deposited in the Dryad repository https://doi.org/10.5061/dryad.n02v6wx50. Finally, the computer code used for the analysis in this study is available at: https://github.com/msomveille/seasonal-climate-tracking.git. Acknowledgements: This work was made possible by support from the Wolfson Foundation to M.S., National Geographic to K.R. (WW202R-17) and an NSF CAREER to K.R. (1942313). This work used the Extreme Science and Engineering Discovery Environment (XSEDE), which is supported by National Science Foundation grant ACI-1548562. We also thank the many people who assisted in sample collection, including the many volunteers and field technicians associated with The Institute for Bird Populations' Monitoring Avian Productivity and Survival (MAPS) and Monitoring Neotropical Migrants in Winter (MoSI) programs. Peer review: The peer review history for this article is available at https://www.webofscience.com/api/gateway/wos/peer-review/10.1111/ele.14496. |
| Uncontrolled Keywords: | climate change,genoscape,migratory connectivity,optimal migration,seasonal climate tracking,ecology, evolution, behavior and systematics,sdg 7 - affordable and clean energy,sdg 13 - climate action ,/dk/atira/pure/subjectarea/asjc/1100/1105 |
| Faculty \ School: | Faculty of Science > School of Environmental Sciences |
| UEA Research Groups: | Faculty of Science > Research Centres > Centre for Ecology, Evolution and Conservation |
| Related URLs: | |
| Depositing User: | LivePure Connector |
| Date Deposited: | 28 Nov 2024 01:37 |
| Last Modified: | 07 Dec 2024 01:40 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/97816 |
| DOI: | 10.1111/ele.14496 |
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