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dc.contributor.authorZein, Beate
dc.contributor.authorLong, Jed
dc.contributor.authorSafi, Kamran
dc.contributor.authorKölzsch , Andrea
dc.contributor.authorWikelski, Martin
dc.contributor.authorKruckenberg, Helmut
dc.contributor.authorDemsar, Urska
dc.date.accessioned2021-09-16T21:30:03Z
dc.date.available2021-09-16T21:30:03Z
dc.date.issued2021-09-15
dc.identifier275627574
dc.identifier8dcd2310-54f4-447f-b3e6-c7c89a914326
dc.identifier000696206400001
dc.identifier85114914315
dc.identifier.citationZein , B , Long , J , Safi , K , Kölzsch , A , Wikelski , M , Kruckenberg , H & Demsar , U 2021 , ' Simulation experiment to test strategies of geomagnetic navigation during long-distance bird migration ' , Movement Ecology , vol. 9 , 46 . https://doi.org/10.1186/s40462-021-00283-5en
dc.identifier.issn2051-3933
dc.identifier.otherORCID: /0000-0001-7791-2807/work/100172615
dc.identifier.otherORCID: /0000-0002-5487-8535/work/100172789
dc.identifier.urihttps://hdl.handle.net/10023/23977
dc.descriptionThe project was funded by the Leverhulme Trust (Research Project Grant RPG-2018-258).en
dc.description.abstractBackground Different theories suggest birds may use compass or map navigational systems associated with Earth’s magnetic intensity or inclination, especially during migratory flights. These theories have only been tested by considering properties of the Earth’s magnetic field at coarse temporal scales, typically ignoring the temporal dynamics of geomagnetic values that may affect migratory navigational capacity. Methods We designed a simulation experiment to study if and how birds use the geomagnetic field during migration by using both high resolution GPS tracking data and geomagnetic data at relatively fine spatial and temporal resolutions in comparison to previous studies. Our simulations use correlated random walks (CRW) and correlated random bridge (CRB) models to model different navigational strategies based on underlying dynamic geomagnetic data. We translated navigational strategies associated with geomagnetic cues into probability surfaces that are included in the random walk models. Simulated trajectories from these models were compared to the actual GPS trajectories of migratory birds using 3 different similarity measurements to evaluate which of the strategies was most likely to have occurred. Results and conclusion We designed a simulation experiment which can be applied to different wildlife species under varying conditions worldwide. In the case of our example species, we found that a compass-type strategy based on taxis, defined as movement towards an extreme value, produced the closest and most similar trajectories when compared to original GPS tracking data in CRW models. Our results indicate less evidence for map navigation (constant heading and bi-gradient taxis navigation). Additionally, our results indicate a multifactorial navigational mechanism necessitating more than one cue for successful navigation to the target. This is apparent from our simulations because the modelled endpoints of the trajectories of the CRW models do not reach close proximity to the target location of the GPS trajectory when simulated with geomagnetic navigational strategies alone. Additionally, the magnitude of the effect of the geomagnetic cues during navigation in our models was low in our CRB models. More research on the scale effects of the geomagnetic field on navigation, along with temporally varying geomagnetic data could be useful for further improving future models.
dc.format.extent15
dc.format.extent3942053
dc.language.isoeng
dc.relation.ispartofMovement Ecologyen
dc.subjectBird migrationen
dc.subjectEarth's magnetic fielden
dc.subjectGeomagnetic navigationen
dc.subjectGreater white-fronted geeseen
dc.subjectMethod developmenten
dc.subjectNavigational strategiesen
dc.subjectRandom walk modelsen
dc.subjectG Geography (General)en
dc.subject3rd-DASen
dc.subject.lccG1en
dc.titleSimulation experiment to test strategies of geomagnetic navigation during long-distance bird migrationen
dc.typeJournal articleen
dc.contributor.sponsorThe Leverhulme Trusten
dc.contributor.institutionUniversity of St Andrews. School of Geography & Sustainable Developmenten
dc.contributor.institutionUniversity of St Andrews. Bell-Edwards Geographic Data Instituteen
dc.contributor.institutionUniversity of St Andrews. Environmental Change Research Groupen
dc.identifier.doi10.1186/s40462-021-00283-5
dc.description.statusPeer revieweden
dc.identifier.urlhttps://movementecologyjournal.biomedcentral.com/articles/10.1186/s40462-021-00283-5#Sec17en
dc.identifier.grantnumberRPG-2018-258en


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