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Ruegg, Kristen, Anderson, Eric C., Somveille, Marius 
ORCID: https://orcid.org/0000-0002-6868-5080, Bay, Rachael A., Whitfield, Mary, Paxton, Eben H. and Smith, Thomas B.
(2021)
Linking climate niches across seasons to assess population vulnerability in a migratory bird.
Global Change Biology, 27 (15).
pp. 3519-3531.
ISSN 1354-1013
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Abstract
Global loss of biodiversity has placed new urgency on the need to understand factors regulating species response to rapid environmental change. While specialists are often less resilient to rapid environmental change than generalists, species-level analyses may obscure the extent of specialization when locally adapted populations vary in climate tolerances. Until recently, quantification of the degree of climate specialization in migratory birds below the species level was hindered by a lack of genomic and tracking information, but recent technological advances have helped to overcome these barriers. Here we take a genome-wide genetic approach to mapping population-specific migratory routes and quantifying niche breadth within genetically distinct populations of a migratory bird, the willow flycatcher (Empidonax traillii), which exhibits variation in the severity of population declines across its breeding range. While our sample size is restricted to the number of genetically distinct populations within the species, our results support the idea that locally adapted populations of the willow flycatcher with narrow climatic niches across seasons are already federally listed as endangered or in steep decline, while populations with broader climatic niches have remained stable in recent decades. Overall, this work highlights the value of quantifying niche breadth within genetically distinct groups across time and space when attempting to understand the factors that facilitate or constrain the response of locally adapted populations to rapid environmental change.
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| Additional Information: | Funding Information: We thank the many individuals who contributed genetic samples, including T. Kita, B. Kus, R. Taylor, M. Fylling, M. Sogge, T. Koronkiewicz, and the many station operators within and outside the MAPs (Monitoring Avian Productivity and Survivorship) Network. We thank the Vincent J. Coates Genomics Sequencing Laboratory at the University of California, Berkeley as well as the UC Davis Genome Center for their help with the sequencing. This work was made possible by an NSF CAREER award to K.R. (1942313), an NSF grant Rules of Life grant to R.B and K.R. (1837940), a National Geographic grant (WW‐202R‐170) to K.R., a California Energy Commission grant (EPC‐15‐043) to K.R. and T.S., and the Extreme Science and Engineering Discovery Environment (XSEDE), which is supported by National Science Foundation grant ACI‐1548562. Sample collection on the wintering grounds was made possible by a NMBCA grant (#6335 and #6754) to Paso Pacifico for samples collected by M. Whitfield in Nicaragua. Any use of trade, product, or firm names in this publication does not imply endorsement by the U.S. Government. Funding Information: We thank the many individuals who contributed genetic samples, including T. Kita, B. Kus, R. Taylor, M. Fylling, M. Sogge, T. Koronkiewicz, and the many station operators within and outside the MAPs (Monitoring Avian Productivity and Survivorship) Network. We thank the Vincent J. Coates Genomics Sequencing Laboratory at the University of California, Berkeley as well as the UC Davis Genome Center for their help with the sequencing. This work was made possible by an NSF CAREER award to K.R. (1942313), an NSF grant Rules of Life grant to R.B and K.R. (1837940), a National Geographic grant (WW-202R-170) to K.R., a California Energy Commission grant (EPC-15-043) to K.R. and T.S., and the Extreme Science and Engineering Discovery Environment (XSEDE), which is supported by National Science Foundation grant ACI-1548562. Sample collection on the wintering grounds was made possible by a NMBCA grant (#6335 and #6754) to Paso Pacifico for samples collected by M. Whitfield in Nicaragua. Any use of trade, product, or firm names in this publication does not imply endorsement by the U.S. Government. Publisher Copyright: © 2021 John Wiley & Sons Ltd. |
| Uncontrolled Keywords: | climate change,ecological genomics,migratory connectivity,niche tracking,global and planetary change,environmental chemistry,ecology,environmental science(all),sdg 13 - climate action ,/dk/atira/pure/subjectarea/asjc/2300/2306 |
| Faculty \ School: | Faculty of Science > School of Environmental Sciences |
| Related URLs: | |
| Depositing User: | LivePure Connector |
| Date Deposited: | 31 Jul 2024 18:27 |
| Last Modified: | 25 Sep 2024 17:57 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/96049 |
| DOI: | 10.1111/gcb.15639 |
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