Data from: The Environmental-Data Automated Track Annotation (Env-DATA) System: Linking animal tracks with environmental data

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datacite.RelatedIdentifier.relatedIdentifierTypeDOI
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dc.contributor.authorCruz, Sebastian
dc.contributor.authorProaƱo, Carolina B.
dc.contributor.authorAnderson, Dave
dc.contributor.authorHuyvaert, Kate
dc.contributor.authorWikelski, Martin
dc.date.accessioned2013-07-03T09:19:05Z
dc.date.available2013-07-03T09:19:05Z
dc.date.issued2013-07-03
dc.date.submitted2013
dc.description.abstractBackground: The movement of animals is strongly influenced by external factors in their surrounding environment such as weather, habitat types, and human land use. With advances in positioning and sensor technologies, it is now possible to capture animal locations at high spatial and temporal granularities. Likewise, scientists have an increasing access to large volumes of environmental data. Environmental data are heterogeneous in source and format, and are usually obtained at different spatiotemporal scales than movement data. Indeed, there remain scientific and technical challenges in developing linkages between the growing collections of animal movement data and the large repositories of heterogeneous remote sensing observations, as well as in the developments of new statistical and computational methods for the analysis of movement in its environmental context. These challenges include retrieval, indexing, efficient storage, data integration, and analytical techniques. Results: This paper contributes to movement ecology research by presenting a new publicly available system, Environmental-Data Automated Track Annotation (Env-DATA), that automates annotation of movement trajectories with ambient atmospheric observations and underlying landscape information. Env-DATA provides a free and easy-to-use platform that eliminates technical difficulties of the annotation processes and relieves end users of a ton of tedious and time-consuming tasks associated with annotation, including data acquisition, data transformation and integration, resampling, and interpolation. The system is illustrated with a case study of Galapagos Albatross (Phoebastria irrorata) tracks and their relationship to wind, ocean productivity and chlorophyll concentration. Our case study illustrates why adult albatrosses make long-range trips to preferred, productive areas and how wind assistance facilitates their return flights while their outbound flights are hampered by head winds. Conclusions: The new Env-DATA system enhances Movebank, an open portal of animal tracking data, by automating access to environmental variables from global remote sensing, weather, and ecosystem products from open web resources. The system provides several interpolation methods from the native grid resolution and structure to a global regular grid linked with the movement tracks in space and time. The aim is to facilitate new understanding and predictive capabilities of spatiotemporal patterns of animal movement in response to dynamic and changing environments from local to global scales.
dc.identifier.doidoi:10.5441/001/1.3hp3s250
dc.identifier.urihttps://datarepository.movebank.org/handle/10255/move.331
dc.language.isoeng
dc.relationMovement Ecology
dc.relation.haspartdoi:10.5441/001/1.3hp3s250/1
dc.relation.haspartdoi:10.5441/001/1.3hp3s250/2
dc.relation.isreferencedbydoi:10.1186/2051-3933-1-3
dc.rightsCC0 1.0 Universalen
dc.rights.urihttp://creativecommons.org/publicdomain/zero/1.0/
dc.subjectPhoebastria irrorata
dc.subjectmigration
dc.subjectMovebank
dc.subjectmovement ecology
dc.subjectremote sensing
dc.subjecttrack annotation
dc.subjectweather
dc.titleData from: The Environmental-Data Automated Track Annotation (Env-DATA) System: Linking animal tracks with environmental data
dc.typeArticle
dspace.entity.typeData package
dwc.ScientificNamePhoebastria irrorata
mdr.animal.count28
mdr.citation.BibTex
@misc{001/1_3hp3s250,
  title = {Data from: The Environmental-Data Automated Track Annotation (Env-DATA) System: Linking animal tracks with environmental data},
  author = {Cruz, S and ProaƱo, CB and Anderson, D and Huyvaert, K and Wikelski, M},
  year = {2013},
  URL = {http://dx.doi.org/10.5441/001/1.3hp3s250},
  doi = {doi:10.5441/001/1.3hp3s250},
  publisher = {Movebank data repository}
}
mdr.citation.CSE
Cruz S, ProaƱo CB, Anderson D, Huyvaert K, Wikelski M. 2013. Data from: The Environmental-Data Automated Track Annotation (Env-DATA) System: Linking animal tracks with environmental data. Movebank Data Repository. https://doi.org/10.5441/001/1.3hp3s250
mdr.citation.RIS
TY  - DATA
ID  - doi:10.5441/001/1.3hp3s250
T1  - Data from: The Environmental-Data Automated Track Annotation (Env-DATA) System: Linking animal tracks with environmental data
AU  - Cruz, Sebastian
AU  - ProaƱo, Carolina B.
AU  - Anderson, Dave
AU  - Huyvaert, Kate
AU  - Wikelski, Martin
Y1  - 2013/07/03
KW  - Phoebastria irrorata
KW  - animal movement
KW  - migration
KW  - Movebank
KW  - movement ecology
KW  - remote sensing
KW  - track annotation
KW  - weather
KW  - Phoebastria irrorata
PB  - Movebank data repository
UR  - http://dx.doi.org/10.5441/001/1.3hp3s250
DO  - doi:10.5441/001/1.3hp3s250
ER  -
mdr.journal.titleMovement Ecology
mdr.location.count16414
mdr.study.id2911040
relation.isAuthorOfDatapackage1311e805-eaa9-42ef-90e4-33ba41027623
relation.isAuthorOfDatapackage972cd236-18c3-464c-a3cf-24c942758773
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sensor.nameGPS
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