Data from: Study "1000 Cranes. Southern Kazakhstan."

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datacite.RelatedIdentifierhttps://doi.org/10.1073/pnas.2316827121
datacite.RelatedIdentifier.relatedIdentifierTypeDOI
datacite.RelatedIdentifier.relationTypeIsSupplementTo
dc.contributor.authorIlyashenko, Elena I.
dc.contributor.authorPokrovsky, Ivan
dc.contributor.authorGavrilov, Andrey E.
dc.contributor.authorZaripova, Syrymgul
dc.contributor.authorFiedler, Wolfgang
dc.contributor.authorWikelski, Martin
dc.date.accessioned2024-09-11T06:55:20Z
dc.date.available2024-09-11T06:55:20Z
dc.date.issued2024-09-11
dc.description.abstractMovement is a key means by which animals cope with variable environments. As they move, animals construct individual niches composed of the environmental conditions they experience. Niche axes may vary over time and covary with one another as animals make tradeoffs between competing needs. Seasonal migration is expected to produce substantial niche variation as animals move to keep pace with major life history phases and fluctuations in environmental conditions. Here, we apply a time-ordered principal component analysis to examine dynamic niche variance and covariance across the annual cycle for four species of migratory crane: common crane (Grus grus, n = 20), demoiselle crane (Anthropoides virgo, n = 66), black-necked crane (Grus nigricollis, n = 9), and white-naped crane (Grus vipio, n = 9). We consider four key niche components known to be important to aspects of crane natural history: enhanced vegetation index (resources availability), temperature (thermoregulation), crop proportion (preferred foraging habitat), and proximity to water (predator avoidance). All species showed a primary seasonal niche “rhythm” that dominated variance in niche components across the annual cycle. Secondary rhythms were linked to major species-specific life history phases (migration, breeding, and nonbreeding) as well as seasonal environmental patterns. Furthermore, we found that cranes’ experiences of the environment emerge from time-dynamic tradeoffs among niche components. We suggest that our approach to estimating the environmental niche as a multidimensional and time-dynamical system of tradeoffs improves mechanistic understanding of organism–environment interactions.
dc.identifier.doidoi:10.5441/001/1.591
dc.identifier.urihttps://datarepository.movebank.org/handle/10255/move.3255
dc.language.isoeng
dc.relationProceedings of the National Academy of Sciences of the USA
dc.relation.isreferencedbydoi:10.1073/pnas.2316827121
dc.rightsAttribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectAnthropoides virgo
dc.subjectanimal tracking
dc.subjectavian migration
dc.subjectDemoiselle Crane
dc.subjectGPS
dc.titleData from: Study "1000 Cranes. Southern Kazakhstan."
dspace.entity.typeData package
dwc.ScientificNameAnthropoides virgo
mdr.animal.count7
mdr.citation.BibTex
@misc{001/1_591,
  title = {Data from: Study "1000 Cranes. Southern Kazakhstan."},
  author = {Ilyashenko, EI and Pokrovsky, I and Gavrilov, AE and Zaripova, S and Fiedler, W and Wikelski, M},
  year = {2024},
  URL = {http://dx.doi.org/10.5441/001/1.591},
  doi = {doi:10.5441/001/1.591},
  publisher = {Movebank data repository}
}
mdr.citation.CSE
Ilyashenko EI, Pokrovsky I, Gavrilov AE, Zaripova S, Fiedler W, Wikelski M. 2024. Data from: Study "1000 Cranes. Southern Kazakhstan.". Movebank Data Repository. https://doi.org/10.5441/001/1.591
mdr.citation.RIS
TY  - DATA
ID  - doi:10.5441/001/1.591
T1  - Data from: Study "1000 Cranes. Southern Kazakhstan."
AU  - Ilyashenko, Elena I.
AU  - Pokrovsky, Ivan
AU  - Gavrilov, Andrey E.
AU  - Zaripova, Syrymgul
AU  - Fiedler, Wolfgang
AU  - Wikelski, Martin
Y1  - 2024/09/11
KW  - Anthropoides virgo
KW  - animal tracking
KW  - avian migration
KW  - Demoiselle Crane
KW  - GPS
KW  - Anthropoides virgo
PB  - Movebank data repository
UR  - http://dx.doi.org/10.5441/001/1.591
DO  - doi:10.5441/001/1.591
ER  -
mdr.journal.titleProceedings of the National Academy of Sciences of the USA
mdr.location.count6752
mdr.study.id497138661
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sensor.nameGPS
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