Stochastic simulations reveal few green wave surfing populations among spring migrating herbivorous waterfowl

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dc.contributor.author Wang, Xin
dc.contributor.author Cao, Lei
dc.contributor.author Fox, Anthony D.
dc.contributor.author Fuller, Richard
dc.contributor.author Griffin, Larry
dc.contributor.author Mitchell, Carl
dc.contributor.author Zhao, Yunlin
dc.contributor.author Moon, Oun-Kyong
dc.contributor.author Cabot, David
dc.contributor.author Xu, Zhenggang
dc.contributor.author Batbayar, Nyambayar
dc.contributor.author Kölzsch, Andrea
dc.contributor.author van der Jeugd, Henk P.
dc.contributor.author Madsen, Jesper
dc.contributor.author Chen, Liding
dc.contributor.author Nathan, Ran
dc.date.accessioned 2019-11-20T05:11:33Z
dc.date.available 2019-11-20T05:11:33Z
dc.date.issued 2019-05-16
dc.identifier.citation Wang, X., Cao, L., Fox, A.D., Fuller, R., Griffin, L., Mitchell, C., Zhao, Y., Moon, O.K., Cabot, D., Xu, Z. and Batbayar, N. (2019) 'Stochastic simulations reveal few green wave surfing populations among spring migrating herbivorous waterfowl'. Nature communications, 10(1), 2187. (12pp). doi:10.1038/s41467-019-09971-8 en
dc.identifier.volume 10 en
dc.identifier.issued 1 en
dc.identifier.startpage 1 en
dc.identifier.endpage 12 en
dc.identifier.uri http://hdl.handle.net/10468/9110
dc.identifier.doi 10.1038/s41467-019-09971-8 en
dc.description.abstract Tracking seasonally changing resources is regarded as a widespread proximate mechanism underpinning animal migration. Migrating herbivores, for example, are hypothesized to track seasonal foliage dynamics over large spatial scales. Previous investigations of this green wave hypothesis involved few species and limited geographical extent, and used conventional correlation that cannot disentangle alternative correlated effects. Here, we introduce stochastic simulations to test this hypothesis using 222 individual spring migration episodes of 14 populations of ten species of geese, swans and dabbling ducks throughout Europe, East Asia, and North America. We find that the green wave cannot be considered a ubiquitous driver of herbivorous waterfowl spring migration, as it explains observed migration patterns of only a few grazing populations in specific regions. We suggest that ecological barriers and particularly human disturbance likely constrain the capacity of herbivorous waterfowl to track the green wave in some regions, highlighting key challenges in conserving migratory birds. en
dc.description.sponsorship 2016YFC0500406); 31661143027; 31670424; 31500315; Flysafe project; 2525/16 en
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher Springer Nature en
dc.relation.uri https://www.nature.com/articles/s41467-019-09971-8
dc.rights © The Author(s) 2019. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. en
dc.rights.uri https://creativecommons.org/licenses/by/4.0/ en
dc.subject Animal migration en
dc.subject Green wave en
dc.subject Stochastic simulations en
dc.subject Herbivorous waterfowl en
dc.title Stochastic simulations reveal few green wave surfing populations among spring migrating herbivorous waterfowl en
dc.type Article (peer-reviewed) en
dc.internal.authorcontactother David Cabot, School of Biological, Earth and Environmental Sciences, University College Cork, Cork, Ireland. +353-21-490-3000 en
dc.internal.availability Full text available en
dc.description.version Published Version en
dc.contributor.funder National Basic Research Program of China (973 Program) en
dc.contributor.funder National Natural Science Foundation of China en
dc.contributor.funder China Biodiversity Observation Networks en
dc.contributor.funder Scottish Natural Heritage en
dc.contributor.funder Israel Science Foundation en
dc.contributor.funder Minerva Center for Movement Ecology en
dc.contributor.funder Adelina and Massimo Della Pergola Chair of Life Sciences en
dc.contributor.funder China Scholarship Council en
dc.contributor.funder Hebrew University of Jerusalem Scholarship Program en
dc.description.status Peer reviewed en
dc.identifier.journaltitle Nature Communications en
dc.identifier.articleid 2187 en
dc.identifier.eissn 2041-1723


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© The Author(s) 2019. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. Except where otherwise noted, this item's license is described as © The Author(s) 2019. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
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