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dc.contributor.authorRoss, Samuel R. P.-J.
dc.contributor.authorSuzuki, Yuka
dc.contributor.authorKondoh, Michio
dc.contributor.authorSuzuki, Kenta
dc.contributor.authorVilla Martín, Paula
dc.contributor.authorDornelas, Maria
dc.identifier.citationRoss , S R P-J , Suzuki , Y , Kondoh , M , Suzuki , K , Villa Martín , P & Dornelas , M 2021 , ' Illuminating the intrinsic and extrinsic drivers of ecological stability across scales ' , Advances in Ecological Research , vol. Early View .
dc.identifier.otherPURE: 273139222
dc.identifier.otherPURE UUID: 51222cec-a239-4143-9270-43e49c347ab2
dc.identifier.otherRIS: urn:499D1A213F68A6B1E28043996D89820B
dc.identifier.otherScopus: 85101793610
dc.identifier.otherWOS: 000624550500001
dc.descriptionFunding information: British Ecological Society, Grant/Award Number: TT19/1029; Core Research for Evolutional Science and Technology, Grant/Award Number: JPMJCR13A2; Irish Research Council, Grant/Award Number: GOIPG/2018/3023; Japan Science and Technology Agency, Grant/Award Number: 19H05641; Japan Society for the Promotion of Science, Grant/Award Numbers: 16H04846, JP20J10699.en
dc.description.abstractOur knowledge of ecological stability is built on assumptions of scale. These assumptions limit our ability to reach a generalizable and mechanistic understanding of stability under global environmental change. Moving towards a multiscale approach—across space, time and environment—will allow us to better understand the intrinsic (e.g., demographic) and extrinsic (environmental) drivers of ecological stability. In this perspective, we review multiple sources of variation responsible for shaping ecological dynamics, and how scale affects our observation of these dynamics through its confounding effect on drivers of variation in ecosystems. We discuss the effect of temporal scale when combining empirical dynamic modeling with high‐resolution population time series to consider the time‐varying nature of multispecies interaction networks, highlighting interspecific interactions as an intrinsic driver of community dynamics. Next, we examine energy landscape analysis as a method for inferring stability and transience during community assembly and its interaction with spatial scale, emphasizing the intrinsic role of compositional variability in assembly dynamics. We then examine population dynamics at species' range margins and show how considering the interaction between spatial and temporal environmental heterogeneity, an extrinsic driver of population dynamics, can facilitate a nuanced understanding of population expansions, range shifts, and species invasions. Finally, we discuss broadly how the sources of intrinsic and extrinsic variation interact with each other and with spatiotemporal scale to shape ecological dynamics. Better recognition of the scale‐dependent nature of the relationship between drivers of variation and ecological dynamics will be invaluable to illuminate the dynamics influencing ecological stability across scales.
dc.relation.ispartofAdvances in Ecological Researchen
dc.rightsCopyright © 2021 The Authors. Ecological Research published by John Wiley & Sons Australia, Ltd on behalf of The Ecological Society of Japan. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.en
dc.subjectCommunity dynamicsen
dc.subjectEmpirical dynamic modelingen
dc.subjectEnergy landscape analysisen
dc.subjectTime seriesen
dc.subjectQH301 Biologyen
dc.titleIlluminating the intrinsic and extrinsic drivers of ecological stability across scalesen
dc.typeJournal articleen
dc.description.versionPublisher PDFen
dc.contributor.institutionUniversity of St Andrews. School of Biologyen
dc.contributor.institutionUniversity of St Andrews. Centre for Biological Diversityen
dc.contributor.institutionUniversity of St Andrews. Fish Behaviour and Biodiversity Research Groupen
dc.contributor.institutionUniversity of St Andrews. Marine Alliance for Science & Technology Scotlanden
dc.description.statusPeer revieweden

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