Data from: Study "Bar-tailed Godwit geolocator tracking New Zealand 2013-2014"

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datacite.RelatedIdentifierhttps://doi.org/10.1073/pnas.2311146121
datacite.RelatedIdentifier.relatedIdentifierTypeDOI
datacite.RelatedIdentifier.relationTypeIsSupplementTo
dc.contributor.authorBattley, Phil F.
dc.contributor.authorLisovski, Simeon
dc.contributor.authorConklin, Jesse R.
dc.date.accessioned2024-12-30T08:56:45Z
dc.date.available2024-12-30T08:56:45Z
dc.date.issued2024-12-30
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.identifier.doidoi:10.5441/001/1.327
dc.identifier.urihttps://datarepository.movebank.org/handle/10255/move.3100
dc.language.isoeng
dc.relationProceedings of the National Academy of Sciences of the United States of America
dc.relation.isreferencedbydoi:10.1073/pnas.2311146121
dc.rightsAttribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectLimosa lapponica
dc.subjectanimal tracking
dc.subjectavian migration
dc.subjectEast Asian-Australasian Flyway
dc.subjectlight-level logger
dc.subjectmigratory connectivity
dc.subjectoptimal migration
dc.subjectsolar geolocation
dc.titleData from: Study "Bar-tailed Godwit geolocator tracking New Zealand 2013-2014"
dspace.entity.typeData package
dwc.ScientificNameLimosa lapponica
mdr.animal.count18
mdr.citation.BibTex
@misc{001/1_327,
  title = {Data from: Study "Bar-tailed Godwit geolocator tracking New Zealand 2013-2014"},
  author = {Battley, PF and Lisovski, S and Conklin, JR},
  year = {2024},
  URL = {http://dx.doi.org/10.5441/001/1.327},
  doi = {doi:10.5441/001/1.327},
  publisher = {Movebank data repository}
}
mdr.citation.CSE
Battley PF, Lisovski S, Conklin JR. 2024. Data from: Study "Bar-tailed Godwit geolocator tracking New Zealand 2013-2014". Movebank Data Repository. https://doi.org/10.5441/001/1.327
mdr.citation.RIS
TY  - DATA
ID  - doi:10.5441/001/1.327
T1  - Data from: Study "Bar-tailed Godwit geolocator tracking New Zealand 2013-2014"
AU  - Battley, Phil F.
AU  - Lisovski, Simeon
AU  - Conklin, Jesse R.
Y1  - 2024/12/30
KW  - Limosa lapponica
KW  - animal movement
KW  - animal tracking
KW  - avian migration
KW  - East Asian-Australasian Flyway
KW  - light-level logger
KW  - migratory connectivity
KW  - optimal migration
KW  - solar geolocation
KW  - Limosa lapponica
PB  - Movebank data repository
UR  - http://dx.doi.org/10.5441/001/1.327
DO  - doi:10.5441/001/1.327
ER  -
mdr.journal.titleProceedings of the National Academy of Sciences of the United States of America
mdr.journal.volume121
mdr.location.count103
mdr.study.id3389603083
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sensor.nameSolar Geolocator Twilight
sensor.nameSolar Geolocator
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