Eurasian wigeon (Mareca penelope) Netherlands Lithuania 2018-2019

dc.contributor.authorvan Toor, Mariëlle L.
dc.contributor.authorKharitonov, Sergey
dc.contributor.authorŠvažas, Saulius
dc.contributor.authorDagys, Mindaugas
dc.contributor.authorKleyheeg, Eric
dc.contributor.authorMüskens, Gerard
dc.contributor.authorOttosson, Ulf
dc.contributor.authorŽydelis, Ramunas
dc.contributor.authorWaldenström, Jonas
dc.description.abstractBackground: The timing of migration for herbivorous migratory birds is thought to coincide with spring phenology as emerging vegetation supplies them with the resources to fuel migration, and, in species with a capital breeding strategy also provides individuals with energy for use on the breeding grounds. Individuals with very long migration distances might however have to trade off between utilising optimal conditions en route and reaching the breeding grounds early, potentially leading to them overtaking spring on the way. Here, we investigate whether migration distance affects how closely individually tracked Eurasian wigeons follow spring phenology during spring migration. Methods: We captured wigeons in the Netherlands and Lithuania and tracked them throughout spring migration to identify staging sites and timing of arrival. Using temperature-derived indicators of spring phenology, we investigated how maximum longitude reached and migration distance affected how closely wigeons followed spring. We further estimated the impact of tagging on wigeon migration by comparing spring migratory timing between tracked individuals and ring recovery data sets. Results: Wigeons migrated to locations between 300 and 4000 km from the capture site, and migrated up to 1000 km in a single day. We found that wigeons migrating to more north-easterly locations followed spring phenology more closely, and increasingly so the greater distance they had covered during migration. Yet we also found that despite tags equalling only around 2% of individual’s body mass, individuals were on average 11–12 days slower than ring-marked individuals from the same general population. Discussion: Overall, our results suggest that migratory strategy can vary dependent on migration distance within species, and even within the same migratory corridor. Individual decisions thus depend not only on environmental cues, but potentially also trade-offs made during later life-history stages.
dc.subjectAnas penelope
dc.subjectanimal movement
dc.subjectanimal tracking
dc.subjectavian migration
dc.subjectEurasian wigeon
dc.subjectGSM telemetry
dc.subjectMareca penelope
dc.subjectmigration phenology
dc.titleEurasian wigeon (Mareca penelope) Netherlands Lithuania 2018-2019
dspace.entity.typeData package
dwc.ScientificNameAnas penelope
  title = {Eurasian wigeon (Mareca penelope) Netherlands Lithuania 2018-2019},
  author = {van, Toor, ML and Kharitonov, S and Švažas, S and Dagys, M and Kleyheeg, E and Müskens, G and Ottosson, U and Žydelis, R and Waldenström, J},
  URL = {},
  doi = {doi:10.5441/001/1.dv5mm289/1},
  publisher = {Movebank data repository}
van Toor ML, Kharitonov S, Švažas S, Dagys M, Kleyheeg E, Müskens G, Ottosson U, Žydelis R, Waldenström J. Eurasian wigeon (Mareca penelope) Netherlands Lithuania 2018-2019. Movebank Data Repository.
ID  - doi:10.5441/001/1.dv5mm289/1
T1  - Eurasian wigeon (Mareca penelope) Netherlands Lithuania 2018-2019
AU  - van Toor, Mariëlle L.
AU  - Kharitonov, Sergey
AU  - Švažas, Saulius
AU  - Dagys, Mindaugas
AU  - Kleyheeg, Eric
AU  - Müskens, Gerard
AU  - Ottosson, Ulf
AU  - Žydelis, Ramunas
AU  - Waldenström, Jonas
KW  - Anas penelope
KW  - animal movement
KW  - animal tracking
KW  - avian migration
KW  - bio-logging
KW  - Eurasian wigeon
KW  - GSM telemetry
KW  - Mareca penelope
KW  - migration phenology
KW  - Anas penelope
PB  - Movebank data repository
UR  -
DO  - doi:10.5441/001/1.dv5mm289/1
ER  -