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Predicting responses to marine heatwaves using functional traits.
Harvey, Ben P; Marshall, Katie E; Harley, Christopher D G; Russell, Bayden D.
Afiliação
  • Harvey BP; Shimoda Marine Research Center, University of Tsukuba, 5-10-1 Shimoda, Shizuoka 415-0025, Japan.
  • Marshall KE; Department of Zoology, University of British Columbia, Vancouver, BC, Canada.
  • Harley CDG; Department of Zoology, University of British Columbia, Vancouver, BC, Canada; Institute for the Oceans and Fisheries, University of British Columbia, Vancouver, BC, Canada.
  • Russell BD; The Swire Institute of Marine Science and School of Biological Sciences, The University of Hong Kong, Hong Kong SAR, PR China. Electronic address: brussell@hku.hk.
Trends Ecol Evol ; 37(1): 20-29, 2022 01.
Article em En | MEDLINE | ID: mdl-34593256
ABSTRACT
Marine heatwaves (MHWs), discrete but prolonged periods of anomalously warm seawater, can fundamentally restructure marine communities and ecosystems. Although our understanding of these events has improved in recent years, key knowledge gaps hinder our ability to predict how MHWs will affect patterns of biodiversity. Here, we outline a functional trait approach that enables a better understanding of which species and communities will be most vulnerable to MHWs, and how the distribution of species and composition of communities are likely to shift through time. Our perspective allows progress toward unifying extreme events and longer term environmental trends as co-drivers of ecological change, with the incorporation of species traits into our predictions allowing for a greater capacity to make management decisions.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Ecossistema / Biodiversidade Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Ecossistema / Biodiversidade Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article