Accounting for species interactions is necessary for predicting how arctic arthropod communities respond to climate change

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dc.contributor.author Abrego, Nerea
dc.contributor.author Roslin, Tomas
dc.contributor.author Huotari, Tea
dc.contributor.author Ji, Yinqiu
dc.contributor.author Schmidt, Niels Martin
dc.contributor.author Wang, Jiaxin
dc.contributor.author Yu, Douglas W.
dc.contributor.author Ovaskainen, Otso
dc.date.accessioned 2021-07-06T09:58:01Z
dc.date.available 2021-07-06T09:58:01Z
dc.date.issued 2021-06
dc.identifier.citation Abrego , 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 ' , Ecography , vol. 44 , no. 6 , pp. 885-896 . https://doi.org/10.1111/ecog.05547
dc.identifier.other PURE: 161708352
dc.identifier.other PURE UUID: e7acb145-21c1-496b-9b4c-83d21c1a6942
dc.identifier.other WOS: 000631204300001
dc.identifier.other ORCID: /0000-0002-2957-4791/work/96627433
dc.identifier.uri http://hdl.handle.net/10138/332265
dc.description.abstract Species 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 degrees 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.extent 12
dc.language.iso eng
dc.relation.ispartof Ecography
dc.rights cc_by
dc.rights.uri info:eu-repo/semantics/openAccess
dc.subject Arctic
dc.subject Arthropoda
dc.subject climate change
dc.subject community assembly
dc.subject food web
dc.subject joint species distribution model
dc.subject trophic cascade
dc.subject 1172 Environmental sciences
dc.title Accounting for species interactions is necessary for predicting how arctic arthropod communities respond to climate change en
dc.type Article
dc.contributor.organization Department of Agricultural Sciences
dc.contributor.organization Plant Production Sciences
dc.contributor.organization Biosciences
dc.contributor.organization Spatial Foodweb Ecology Group
dc.contributor.organization Organismal and Evolutionary Biology Research Programme
dc.contributor.organization Otso Ovaskainen / Principal Investigator
dc.description.reviewstatus Peer reviewed
dc.relation.doi https://doi.org/10.1111/ecog.05547
dc.relation.issn 0906-7590
dc.rights.accesslevel openAccess
dc.type.version publishedVersion

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