Movement syndromes across vertebrate taxa (data from Abrahms et al. 2017)-argos
Abrahms B, Seidel DP, Dougherty E, Hazen EL, Bograd SJ, Wilson AM, McNutt JW, Costa DP, Blake S, Brashares JS, Getz WM (2017) Suite of simple metrics reveals common movement syndromes across vertebrate taxa. Movement Ecology 5:12. doi:10.1186/s40462-017-0104-2 : Background: Because empirical studies...
Main Author: | |
---|---|
Format: | Dataset |
Language: | English |
Published: |
Movebank Data Repository
2017
|
Subjects: | |
Online Access: | https://dx.doi.org/10.5441/001/1.hm5nk220/1 https://www.datarepository.movebank.org/handle/10255/move.671 |
id |
ftdatacite:10.5441/001/1.hm5nk220/1 |
---|---|
record_format |
openpolar |
spelling |
ftdatacite:10.5441/001/1.hm5nk220/1 2023-05-15T16:05:25+02:00 Movement syndromes across vertebrate taxa (data from Abrahms et al. 2017)-argos Abrahms, Briana 2017 csv https://dx.doi.org/10.5441/001/1.hm5nk220/1 https://www.datarepository.movebank.org/handle/10255/move.671 en eng Movebank Data Repository https://dx.doi.org/10.5441/001/1.hm5nk220 https://dx.doi.org/10.1186/s40462-017-0104-2 https://dx.doi.org/10.5441/001/1.j900f88t https://dx.doi.org/10.5441/001/1.3hp3s250 https://dx.doi.org/10.5441/001/1.2cp86266 https://dx.doi.org/10.5441/001/1.356nb5mf https://dx.doi.org/10.5441/001/1.mf903197 https://dx.doi.org/10.5441/001/1.3nj3qj45 Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode cc0-1.0 CC0 African buffalo African elephant animal tracking Antidorcas marsupialis black-backed jackal California sea lion Canis mesomelas central place foraging classification scheme cluster analysis Equus quagga Galapagos albatross Galapagos tortoise Geochelone nigra Gyps africanus Loxodonta africana migration Mirounga angustirostris movement ecology nomadism northern elephant seal Phoebastria irrorata Plains zebra springbok Syncerus caffer territoriality white-backed vulture Zalophus californianus dataset Dataset DataPackage 2017 ftdatacite https://doi.org/10.5441/001/1.hm5nk220/1 https://doi.org/10.5441/001/1.hm5nk220 https://doi.org/10.1186/s40462-017-0104-2 https://doi.org/10.5441/001/1.j900f88t https://doi.org/10.5441/001/1.3hp3s250 https://doi.org/10.5441/001/1.2cp86266 http 2021-11-05T12:55:41Z Abrahms B, Seidel DP, Dougherty E, Hazen EL, Bograd SJ, Wilson AM, McNutt JW, Costa DP, Blake S, Brashares JS, Getz WM (2017) Suite of simple metrics reveals common movement syndromes across vertebrate taxa. Movement Ecology 5:12. doi:10.1186/s40462-017-0104-2 : Background: 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. Dataset Elephant Seal DataCite Metadata Store (German National Library of Science and Technology) Dougherty ENVELOPE(161.083,161.083,-82.717,-82.717) Galapagos Getz ENVELOPE(-145.217,-145.217,-76.550,-76.550) |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
African buffalo African elephant animal tracking Antidorcas marsupialis black-backed jackal California sea lion Canis mesomelas central place foraging classification scheme cluster analysis Equus quagga Galapagos albatross Galapagos tortoise Geochelone nigra Gyps africanus Loxodonta africana migration Mirounga angustirostris movement ecology nomadism northern elephant seal Phoebastria irrorata Plains zebra springbok Syncerus caffer territoriality white-backed vulture Zalophus californianus |
spellingShingle |
African buffalo African elephant animal tracking Antidorcas marsupialis black-backed jackal California sea lion Canis mesomelas central place foraging classification scheme cluster analysis Equus quagga Galapagos albatross Galapagos tortoise Geochelone nigra Gyps africanus Loxodonta africana migration Mirounga angustirostris movement ecology nomadism northern elephant seal Phoebastria irrorata Plains zebra springbok Syncerus caffer territoriality white-backed vulture Zalophus californianus Abrahms, Briana Movement syndromes across vertebrate taxa (data from Abrahms et al. 2017)-argos |
topic_facet |
African buffalo African elephant animal tracking Antidorcas marsupialis black-backed jackal California sea lion Canis mesomelas central place foraging classification scheme cluster analysis Equus quagga Galapagos albatross Galapagos tortoise Geochelone nigra Gyps africanus Loxodonta africana migration Mirounga angustirostris movement ecology nomadism northern elephant seal Phoebastria irrorata Plains zebra springbok Syncerus caffer territoriality white-backed vulture Zalophus californianus |
description |
Abrahms B, Seidel DP, Dougherty E, Hazen EL, Bograd SJ, Wilson AM, McNutt JW, Costa DP, Blake S, Brashares JS, Getz WM (2017) Suite of simple metrics reveals common movement syndromes across vertebrate taxa. Movement Ecology 5:12. doi:10.1186/s40462-017-0104-2 : Background: 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. |
format |
Dataset |
author |
Abrahms, Briana |
author_facet |
Abrahms, Briana |
author_sort |
Abrahms, Briana |
title |
Movement syndromes across vertebrate taxa (data from Abrahms et al. 2017)-argos |
title_short |
Movement syndromes across vertebrate taxa (data from Abrahms et al. 2017)-argos |
title_full |
Movement syndromes across vertebrate taxa (data from Abrahms et al. 2017)-argos |
title_fullStr |
Movement syndromes across vertebrate taxa (data from Abrahms et al. 2017)-argos |
title_full_unstemmed |
Movement syndromes across vertebrate taxa (data from Abrahms et al. 2017)-argos |
title_sort |
movement syndromes across vertebrate taxa (data from abrahms et al. 2017)-argos |
publisher |
Movebank Data Repository |
publishDate |
2017 |
url |
https://dx.doi.org/10.5441/001/1.hm5nk220/1 https://www.datarepository.movebank.org/handle/10255/move.671 |
long_lat |
ENVELOPE(161.083,161.083,-82.717,-82.717) ENVELOPE(-145.217,-145.217,-76.550,-76.550) |
geographic |
Dougherty Galapagos Getz |
geographic_facet |
Dougherty Galapagos Getz |
genre |
Elephant Seal |
genre_facet |
Elephant Seal |
op_relation |
https://dx.doi.org/10.5441/001/1.hm5nk220 https://dx.doi.org/10.1186/s40462-017-0104-2 https://dx.doi.org/10.5441/001/1.j900f88t https://dx.doi.org/10.5441/001/1.3hp3s250 https://dx.doi.org/10.5441/001/1.2cp86266 https://dx.doi.org/10.5441/001/1.356nb5mf https://dx.doi.org/10.5441/001/1.mf903197 https://dx.doi.org/10.5441/001/1.3nj3qj45 |
op_rights |
Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode cc0-1.0 |
op_rightsnorm |
CC0 |
op_doi |
https://doi.org/10.5441/001/1.hm5nk220/1 https://doi.org/10.5441/001/1.hm5nk220 https://doi.org/10.1186/s40462-017-0104-2 https://doi.org/10.5441/001/1.j900f88t https://doi.org/10.5441/001/1.3hp3s250 https://doi.org/10.5441/001/1.2cp86266 http |
_version_ |
1766401313142210560 |