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DOI10.1038/ncomms16107
Stochastic simulations reveal few green wave surfing populations among spring migrating herbivorous waterfowl
Wang, Xin1,2; Cao, Lei1,3; Fox, Anthony D.4; Fuller, Richard5; Griffin, Larry6; Mitchell, Carl6; Zhao, Yunlin7; Moon, Oun-Kyong8; Cabot, David9; Xu, Zhenggang6; Batbayar, Nyambayar10; Koelzsch, Andrea11,12,13; van der Jeugd, Henk P.14,15; Madsen, Jesper4; Chen, Liding1,3; Nathan, Ran2
2019-05-16
发表期刊NATURE COMMUNICATIONS
ISSN2041-1723
出版年2019
卷号10
文章类型Article
语种英语
国家Peoples R China; Israel; Denmark; Australia; England; South Korea; Ireland; Mongolia; Germany; Netherlands
英文摘要

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.


领域资源环境
收录类别SCI-E
WOS记录号WOS:000468023600011
WOS关键词WHITE-FRONTED GEESE ; VEGETATION DYNAMICS ; RESOURCE WAVES ; SATELLITE ; SCALE ; ACCUMULATION ; CONSISTENT ; TRACKING ; UNGULATE ; ARRIVAL
WOS类目Multidisciplinary Sciences
WOS研究方向Science & Technology - Other Topics
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引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/203382
专题资源环境科学
作者单位1.Chinese Acad Sci, Res Ctr Ecoenvironm Sci, State Key Lab Urban & Reg Ecol, Beijing 100085, Peoples R China;
2.Hebrew Univ Jerusalem, Alexander Silberman Inst Life Sci, Dept Ecol Evolut & Behav, Movement Ecol Lab, IL-91904 Jerusalem, Israel;
3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China;
4.Aarhus Univ, Dept Biosci, Grenavej 14, DK-8410 Ronde, Denmark;
5.Univ Queensland, Sch Biol Sci, Brisbane, Qld 4072, Australia;
6.WWT, Slimbridge GL2 7BT, Glos, England;
7.Cent South Univ Forestry & Technol, Coll Life Sci & Technol, Changsha 410004, Hunan, Peoples R China;
8.Anim & Plant Quarantine Agcy, Gimcheon 39660, South Korea;
9.Univ Coll Cork, Sch Biol Earth & Environm Sci, North Mall, Cork T23 N73K, Ireland;
10.Wildlife Sci & Conservat Ctr, B-802 Union Bldg, Ulaanbaatar 14210, Mongolia;
11.Max Planck Inst Ornithol, Dept Migrat & Immunoecol, Am Obstberg 1, D-78315 Radolfzell am Bodensee, Germany;
12.Carl von Ossietzky Univ Oldenburg, Inst Chem & Biol Marine Environm, Grp Math Modelling, Carl von Ossietzky Str 9-11, D-26111 Oldenburg, Germany;
13.Inst Wetlands & Waterbird Res eV IWWR, Am Steigbugel 3, D-27283 Verden, Germany;
14.Vogeltrekstn Dutch Ctr Avian Migrat & Demog NIOO, NL-6708 PB Wageningen, Netherlands;
15.Sovon Dutch Ctr Field Ornithol, POB 6521, NL-6503 GA Nijmegen, Netherlands
推荐引用方式
GB/T 7714
Wang, Xin,Cao, Lei,Fox, Anthony D.,et al. Stochastic simulations reveal few green wave surfing populations among spring migrating herbivorous waterfowl[J]. NATURE COMMUNICATIONS,2019,10.
APA Wang, Xin.,Cao, Lei.,Fox, Anthony D..,Fuller, Richard.,Griffin, Larry.,...&Nathan, Ran.(2019).Stochastic simulations reveal few green wave surfing populations among spring migrating herbivorous waterfowl.NATURE COMMUNICATIONS,10.
MLA Wang, Xin,et al."Stochastic simulations reveal few green wave surfing populations among spring migrating herbivorous waterfowl".NATURE COMMUNICATIONS 10(2019).
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