Data from: A periodic Markov model to formalise animal migration on a network [white-fronted goose data]

datacite.RelatedIdentifierhttps://doi.org/10.1098/rsos.180438
datacite.RelatedIdentifier.relatedIdentifierTypeDOI
datacite.RelatedIdentifier.relationTypeIsSupplementTo
dc.contributor.authorKruckenberg, Helmut
dc.contributor.authorMüskens, Gerhard J.D.M.
dc.contributor.authorEbbinge, Barwolt S.
dc.date.accessioned2018-06-13T16:38:40Z
dc.date.available2018-06-13T16:38:40Z
dc.date.issued2018-06-13
dc.date.submitted2018
dc.description.abstractNOTE: A portion of these same individuals and data are also published with doi 10.5441/001/1.31c2v92f. Regular, long-distance migrations of thousands of animal species have consequences for the ecosystems that they visit, modifying trophic interactions and transporting many non-pathogenic and pathogenic organisms. The spatial structure and dynamic properties of animal migrations and population flyways largely determine those trophic and transport effects, but are yet poorly studied. As a basis, we propose a periodic Markov model on the spatial migration network of breeding, stopover and wintering sites to formally describe the process of animal migration on the population level. From seasonally changing transition rates we derived stable, seasonal densities of animals at the network nodes. We parametrized the model with high-quality GPS and satellite telemetry tracks of white storks (Ciconia ciconia) and greater white-fronted geese (Anser a. albifrons). Topological and network flow properties of the two derived networks conform to migration properties like seasonally changing connectivity and shared, directed movement. Thus, the model realistically describes the migration movement of complete populations and can become an important tool to study the effects of climate and habitat change and pathogen spread on migratory animals. Furthermore, the property of periodically changing transition rates makes it a new type of complex model and we need to understand its dynamic properties.
dc.identifier.doidoi:10.5441/001/1.kk38017f
dc.identifier.urihttps://datarepository.movebank.org/handle/10255/move.747
dc.language.isoeng
dc.relationRoyal Society Open Science
dc.relation.haspartdoi:10.5441/001/1.kk38017f/1
dc.relation.haspartdoi:10.5441/001/1.kk38017f/2
dc.relation.haspartdoi:10.5441/001/1.kk38017f/3
dc.relation.isreferencedbydoi:10.1098/rsos.180438
dc.relation.isreferencedbydoi:10.1111/oik.03121
dc.relation.isreferencedbydoi:10.1111/j.1600-0706.2011.20083.x
dc.rightsCC0 1.0 Universalen
dc.rights.urihttp://creativecommons.org/publicdomain/zero/1.0/
dc.subjectAnser albifrons
dc.subjectanimal movement
dc.subjectanimal tracking
dc.subjectAnser albifrons
dc.subjectArgos
dc.subjectavian migration
dc.subjectsatellite telemetry
dc.subjectspatial migration network
dc.subjectwhite-gronted goose
dc.titleData from: A periodic Markov model to formalise animal migration on a network [white-fronted goose data]
dc.typeArticle
dspace.entity.typeData package
dwc.ScientificNameAnser albifrons
mdr.animal.count7
mdr.citation.BibTex
@misc{001/1_kk38017f,
  title = {Data from: A periodic Markov model to formalise animal migration on a network [white-fronted goose data]},
  author = {Kruckenberg, H and Müskens, GJDM and Ebbinge, BS},
  year = {2018},
  URL = {http://dx.doi.org/10.5441/001/1.kk38017f},
  doi = {doi:10.5441/001/1.kk38017f},
  publisher = {Movebank data repository}
}
mdr.citation.CSE
Kruckenberg H, Müskens GJDM, Ebbinge BS. 2018. Data from: A periodic Markov model to formalise animal migration on a network [white-fronted goose data]. Movebank Data Repository. https://doi.org/10.5441/001/1.kk38017f
mdr.citation.RIS
TY  - DATA
ID  - doi:10.5441/001/1.kk38017f
T1  - Data from: A periodic Markov model to formalise animal migration on a network [white-fronted goose data]
AU  - Kruckenberg, Helmut
AU  - Müskens, Gerhard J.D.M.
AU  - Ebbinge, Barwolt S.
Y1  - 2018/06/13
KW  - Anser albifrons
KW  - animal migration
KW  - animal movement
KW  - animal tracking
KW  - Anser albifrons
KW  - Argos
KW  - avian migration
KW  - satellite telemetry
KW  - spatial migration network
KW  - white-gronted goose
KW  - Anser albifrons
PB  - Movebank data repository
UR  - http://dx.doi.org/10.5441/001/1.kk38017f
DO  - doi:10.5441/001/1.kk38017f
ER  -
mdr.journal.titleRoyal Society Open Science
mdr.location.count11806
mdr.study.id467107447
relation.isAuthorOfDatapackagecfdd3ad2-232e-4bae-9fd7-81ef3d149905
relation.isAuthorOfDatapackage79a7a5bf-fe44-4324-af50-54a8412d2403
relation.isAuthorOfDatapackage68989e1c-1459-466e-bb2f-a112b979b445
relation.isAuthorOfDatapackage.latestForDiscoverycfdd3ad2-232e-4bae-9fd7-81ef3d149905
relation.isSensorOfDatapackage48e0a9a2-e354-4a92-976c-a3040768e96c
relation.isSensorOfDatapackage.latestForDiscovery48e0a9a2-e354-4a92-976c-a3040768e96c
relation.isTaxonOfDatapackage3dd4318f-4a20-4aad-b9e3-02aef05a32f7
relation.isTaxonOfDatapackage.latestForDiscovery3dd4318f-4a20-4aad-b9e3-02aef05a32f7
sensor.nameArgos Doppler Shift
Files
Original bundle
Now showing 1 - 4 of 4
No Thumbnail Available
Name:
White-fronted goose full year tracks 2006-2010 Alterra IWWR-gps.csv
Size:
1.12 MB
Format:
Unknown data format
Description:
dataset-file
No Thumbnail Available
Name:
README.txt
Size:
10.02 KB
Format:
Plain Text
Description:
dc_readme
No Thumbnail Available
Name:
White-fronted goose full year tracks 2006-2010 Alterra IWWR-reference-data.csv
Size:
1.14 KB
Format:
Unknown data format
Description:
dataset-file
No Thumbnail Available
Name:
White-fronted goose full year tracks 2006-2010 Alterra IWWR-argos.csv
Size:
772.28 KB
Format:
Unknown data format
Description:
dataset-file
Collections