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dc.contributor.authorAbrego, Nerea
dc.contributor.authorRoslin, Tomas
dc.contributor.authorHuotari, Tea
dc.contributor.authorJi, Yinqiu
dc.contributor.authorSchmidt, Niels Martin
dc.contributor.authorWang, Jiaxin
dc.contributor.authorYu, Douglas W.
dc.contributor.authorOvaskainen, Otso
dc.date.accessioned2021-03-30T07:46:50Z
dc.date.available2021-03-30T07:46:50Z
dc.date.issued2021
dc.identifier.citationAbrego, N., Roslin, T., Huotari, T., Ji, Y., Schmidt, N. M., Wang, J., Yu, D. W., & Ovaskainen, O. (2021). Accounting for species interactions is necessary for predicting how arctic arthropod communities respond to climate change. <i>Ecography</i>, <i>44</i>(6), 885-896. <a href="https://doi.org/10.1111/ecog.05547" target="_blank">https://doi.org/10.1111/ecog.05547</a>
dc.identifier.otherCONVID_52590639
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/74891
dc.description.abstractSpecies interactions are known to structure ecological communities. Still, the influence of climate change on biodiversity has primarily been evaluated by correlating individual species distributions with local climatic descriptors, then extrapolating into future climate scenarios. We ask whether predictions on arctic arthropod response to climate change can be improved by accounting for species interactions. For this, we use a 14‐year‐long, weekly time series from Greenland, resolved to the species level by mitogenome mapping. During the study period, temperature increased by 2°C and arthropod species richness halved. We show that with abiotic variables alone, we are essentially unable to predict species responses, but with species interactions included, the predictive power of the models improves considerably. Cascading trophic effects thereby emerge as important in structuring biodiversity response to climate change. Given the need to scale up from species‐level to community‐level projections of biodiversity change, these results represent a major step forward for predictive ecology.en
dc.format.mimetypeapplication/pdf
dc.languageeng
dc.language.isoeng
dc.publisherWiley-Blackwell
dc.relation.ispartofseriesEcography
dc.rightsCC BY 3.0
dc.subject.otherArctic
dc.subject.otherArthropoda
dc.subject.otherclimate change
dc.subject.othercommunity assembly
dc.subject.otherfood web
dc.subject.otherjoint species distribution model
dc.subject.othertrophic cascade
dc.titleAccounting for species interactions is necessary for predicting how arctic arthropod communities respond to climate change
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-202103302223
dc.contributor.laitosBio- ja ympäristötieteiden laitosfi
dc.contributor.laitosDepartment of Biological and Environmental Scienceen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1
dc.description.reviewstatuspeerReviewed
dc.format.pagerange885-896
dc.relation.issn0906-7590
dc.relation.numberinseries6
dc.relation.volume44
dc.type.versionpublishedVersion
dc.rights.copyright© 2021 The Authors. Ecography published by John Wiley & Sons Ltd on behalf of Nordic Society Oikos
dc.rights.accesslevelopenAccessfi
dc.subject.ysoarktinen alue
dc.subject.ysoravintoverkot
dc.subject.ysoeliöyhteisöt
dc.subject.ysoilmastonmuutokset
dc.subject.ysoniveljalkaiset
dc.subject.ysobiodiversiteetti
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p12434
jyx.subject.urihttp://www.yso.fi/onto/yso/p22082
jyx.subject.urihttp://www.yso.fi/onto/yso/p4636
jyx.subject.urihttp://www.yso.fi/onto/yso/p5729
jyx.subject.urihttp://www.yso.fi/onto/yso/p14438
jyx.subject.urihttp://www.yso.fi/onto/yso/p5496
dc.rights.urlhttps://creativecommons.org/licenses/by/3.0/
dc.relation.doi10.1111/ecog.05547
jyx.fundinginformationWe received funding from the Academy of Finland (grants 276909 and 285803 to TR, grants 284601 and 309571 to OO and grant 308651 to NA), the Jane and Aatos Erkko Foundation Grant (OO and TR), the Research Council of Norway through its Centres of Excellence Funding Scheme (223257) to OO via Centre for Biodiversity Dynamics. We are indebted to the Danish Environmental Protection Agency for funding BioBasis Zackenberg over the years, and to the many field and lab assistants over the years. DWY and YQJ were supported by the National Natural Science Foundation of China (41661144002, 31670536, 31400470, 31500305), the Key Research Program of Frontier Sciences, CAS (QYZDY‐SSW‐SMC024), the Bureau of International Cooperation (GJHZ1754), the Strategic Priority Research Program of the Chinese Academy of Sciences (XDA20050202, XDB31000000), the Ministry of Science and Technology of China (2012FY110800), the State Key Laboratory of Genetic Resources and Evolution (GREKF18‐04) at the Kunming Institute of Zoology, the University of East Anglia and the University of Chinese Academy of Sciences.
dc.type.okmA1


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