Movement syndromes across vertebrate taxa (data from Abrahms et al. 2017)-gps

dc.contributor.authorAbrahms, Briana
dc.date.accessioned2017-06-01T14:01:13Z
dc.date.available2017-06-01T14:01:13Z
dc.date.issued2017-06-01
dc.description.abstractBackground: Because empirical studies of animal movement are most-often site- and species-specific, we lack understanding of the level of consistency in movement patterns across diverse taxa, as well as a framework for quantitatively classifying movement patterns. We aim to address this gap by determining the extent to which statistical signatures of animal movement patterns recur across ecological systems. We assessed a suite of movement metrics derived from GPS trajectories of thirteen marine and terrestrial vertebrate species spanning three taxonomic classes, orders of magnitude in body size, and modes of movement (swimming, flying, walking). Using these metrics, we performed a principal components analysis and cluster analysis to determine if individuals organized into statistically distinct clusters. Finally, to identify and interpret commonalities within clusters, we compared them to computer-simulated idealized movement syndromes representing suites of correlated movement traits observed across taxa (migration, nomadism, territoriality, and central place foraging). Results: Two principal components explained 70% of the variance among the movement metrics we evaluated across the thirteen species, and were used for the cluster analysis. The resulting analysis revealed four statistically distinct clusters. All simulated individuals of each idealized movement syndrome organized into separate clusters, suggesting that the four clusters are explained by common movement syndrome. Conclusions: Our results offer early indication of widespread recurrent patterns in movement ecology that have consistent statistical signatures, regardless of taxon, body size, mode of movement, or environment. We further show that a simple set of metrics can be used to classify broad-scale movement patterns in disparate vertebrate taxa. Our comparative approach provides a general framework for quantifying and classifying animal movements, and facilitates new inquiries into relationships between movement syndromes and other ecological processes.
dc.identifier.doidoi:10.5441/001/1.hm5nk220/2
dc.identifier.urihttps://datarepository.movebank.org/handle/10255/move.672
dc.relation.isbasedondoi:10.5441/001/1.j900f88t
dc.relation.isbasedondoi:10.5441/001/1.3hp3s250
dc.relation.isbasedondoi:10.5441/001/1.2cp86266
dc.relation.isbasedondoi:10.5441/001/1.356nb5mf
dc.relation.isbasedondoi:10.5441/001/1.mf903197
dc.relation.isbasedondoi:10.5441/001/1.3nj3qj45
dc.relation.ispartofdoi:10.5441/001/1.hm5nk220
dc.relation.isreferencedbydoi:10.1186/s40462-017-0104-2
dc.rightsCC0 1.0 Universalen
dc.rights.urihttp://creativecommons.org/publicdomain/zero/1.0/
dc.subjectAfrican buffalo
dc.subjectAfrican elephant
dc.subjectAfrican lion
dc.subjectanimal tracking
dc.subjectAntidorcas marsupialis
dc.subjectblack-backed jackal
dc.subjectCalifornia sea lion
dc.subjectCanis mesomelas
dc.subjectcentral place foraging
dc.subjectclassification scheme
dc.subjectcluster analysis
dc.subjectEquus quagga
dc.subjectGalapagos albatross
dc.subjectGalapagos tortoise
dc.subjectGeochelone nigra
dc.subjectGyps africanus
dc.subjectLoxodonta africana
dc.subjectmigration
dc.subjectMirounga angustirostris
dc.subjectmovement ecology
dc.subjectnomadism
dc.subjectnorthern elephant seal
dc.subjectPhoebastria irrorata
dc.subjectPlains zebra
dc.subjectspringbok
dc.subjectSyncerus caffer
dc.subjectterritoriality
dc.subjectwhite-backed vulture
dc.subjectZalophus californianus
dc.titleMovement syndromes across vertebrate taxa (data from Abrahms et al. 2017)-gps
dc.typeDataset
dspace.entity.typeData package
dwc.ScientificNameAntidorcas marsupialis
dwc.ScientificNameCanis mesomelas
dwc.ScientificNameChelonoidis hoodensis
dwc.ScientificNameChelonoidis porteri
dwc.ScientificNameEquus burchellii
dwc.ScientificNameGyps africanus
dwc.ScientificNameLoxodonta africana
dwc.ScientificNameMirounga angustirostris
dwc.ScientificNamePhoebastria irrorata
dwc.ScientificNameSyncerus caffer
dwc.ScientificNameZalophus californianus
mdr.citation.BibTex
@misc{001/1_hm5nk220/2,
  title = {Movement syndromes across vertebrate taxa (data from Abrahms et al. 2017)-gps},
  author = {Abrahms, B},
  year = {2017},
  URL = {http://dx.doi.org/10.5441/001/1.hm5nk220/2},
  doi = {doi:10.5441/001/1.hm5nk220/2},
  publisher = {Movebank data repository}
}
mdr.citation.CSE
Abrahms B. 2017. Movement syndromes across vertebrate taxa (data from Abrahms et al. 2017)-gps. Movebank Data Repository. https://doi.org/10.5441/001/1.hm5nk220/2
mdr.citation.RIS
TY  - DATA
ID  - doi:10.5441/001/1.hm5nk220/2
T1  - Movement syndromes across vertebrate taxa (data from Abrahms et al. 2017)-gps
AU  - Abrahms, Briana
Y1  - 2017/06/01
KW  - African buffalo
KW  - African elephant
KW  - African lion
KW  - animal tracking
KW  - Antidorcas marsupialis
KW  - black-backed jackal
KW  - California sea lion
KW  - Canis mesomelas
KW  - central place foraging
KW  - classification scheme
KW  - cluster analysis
KW  - Equus quagga
KW  - Galapagos albatross
KW  - Galapagos tortoise
KW  - Geochelone nigra
KW  - Gyps africanus
KW  - Loxodonta africana
KW  - migration
KW  - Mirounga angustirostris
KW  - movement ecology
KW  - nomadism
KW  - northern elephant seal
KW  - Phoebastria irrorata
KW  - Plains zebra
KW  - springbok
KW  - Syncerus caffer
KW  - territoriality
KW  - white-backed vulture
KW  - Zalophus californianus
KW  - Antidorcas marsupialis
KW  - Canis mesomelas
KW  - Chelonoidis hoodensis
KW  - Chelonoidis porteri
KW  - Equus burchellii
KW  - Gyps africanus
KW  - Loxodonta africana
KW  - Mirounga angustirostris
KW  - Phoebastria irrorata
KW  - Syncerus caffer
KW  - Zalophus californianus
PB  - Movebank data repository
UR  - http://dx.doi.org/10.5441/001/1.hm5nk220/2
DO  - doi:10.5441/001/1.hm5nk220/2
ER  - 
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