Predicting resilience of migratory birds to environmental change.

dc.citation.issue19
dc.citation.volume121
dc.contributor.authorLisovski S
dc.contributor.authorHoye BJ
dc.contributor.authorConklin JR
dc.contributor.authorBattley PF
dc.contributor.authorFuller RA
dc.contributor.authorGosbell KB
dc.contributor.authorKlaassen M
dc.contributor.authorBenjamin Lee C
dc.contributor.authorMurray NJ
dc.contributor.authorBauer S
dc.contributor.editorKareiva P
dc.coverage.spatialUnited States
dc.date.accessioned2025-01-23T00:21:44Z
dc.date.available2025-01-23T00:21:44Z
dc.date.issued2024-05-07
dc.description.abstractThe pace and scale of environmental change represent major challenges to many organisms. Animals that move long distances, such as migratory birds, are especially vulnerable to change since they need chains of intact habitat along their migratory routes. Estimating the resilience of such species to environmental changes assists in targeting conservation efforts. We developed a migration modeling framework to predict past (1960s), present (2010s), and future (2060s) optimal migration strategies across five shorebird species (Scolopacidae) within the East Asian-Australasian Flyway, which has seen major habitat deterioration and loss over the last century, and compared these predictions to empirical tracks from the present. Our model captured the migration strategies of the five species and identified the changes in migrations needed to respond to habitat deterioration and climate change. Notably, the larger species, with single or few major stopover sites, need to establish new migration routes and strategies, while smaller species can buffer habitat loss by redistributing their stopover areas to novel or less-used sites. Comparing model predictions with empirical tracks also indicates that larger species with the stronger need for adaptations continue to migrate closer to the optimal routes of the past, before habitat deterioration accelerated. Our study not only quantifies the vulnerability of species in the face of global change but also explicitly reveals the extent of adaptations required to sustain their migrations. This modeling framework provides a tool for conservation planning that can accommodate the future needs of migratory species.
dc.description.confidentialfalse
dc.edition.editionMay 2024
dc.format.paginatione2311146121-
dc.identifier.author-urlhttps://www.ncbi.nlm.nih.gov/pubmed/38648469
dc.identifier.citationLisovski S, Hoye BJ, Conklin JR, Battley PF, Fuller RA, Gosbell KB, Klaassen M, Benjamin Lee C, Murray NJ, Bauer S. (2024). Predicting resilience of migratory birds to environmental change.. Proc Natl Acad Sci U S A. 121. 19. (pp. e2311146121-).
dc.identifier.doi10.1073/pnas.2311146121
dc.identifier.eissn1091-6490
dc.identifier.elements-typejournal-article
dc.identifier.issn0027-8424
dc.identifier.numbere2311146121
dc.identifier.urihttps://mro.massey.ac.nz/handle/10179/72404
dc.languageeng
dc.publisherNational Academy of Sciences
dc.publisher.urihttps://www.pnas.org/doi/10.1073/pnas.2311146121
dc.relation.isPartOfProc Natl Acad Sci U S A
dc.rights(c) 2024 The Author/s
dc.rightsCC BY-NC-ND 4.0
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectavian migration
dc.subjectglobal change biology
dc.subjecthabitat deterioration
dc.subjectoptimal migration
dc.subjectstochastic dynamic programming
dc.subjectAnimals
dc.subjectAnimal Migration
dc.subjectClimate Change
dc.subjectEcosystem
dc.subjectBirds
dc.subjectConservation of Natural Resources
dc.subjectModels, Biological
dc.titlePredicting resilience of migratory birds to environmental change.
dc.typeJournal article
pubs.elements-id488476
pubs.organisational-groupOther

Files

Original bundle

Now showing 1 - 2 of 2
Loading...
Thumbnail Image
Name:
Lisovski_et_al_2024_Published.pdf
Size:
5.77 MB
Format:
Adobe Portable Document Format
Description:
488476 PDF.pdf
Loading...
Thumbnail Image
Name:
pnas.2311146121.sapp.pdf
Size:
1.78 MB
Format:
Adobe Portable Document Format
Description:
Evidence.pdf

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
9.22 KB
Format:
Plain Text
Description:

Collections