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Article: Predicting responses to marine heatwaves using functional traits

TitlePredicting responses to marine heatwaves using functional traits
Authors
KeywordsMarine heatwaves
Trait-based ecology
Climate change
Issue Date2022
PublisherElsevier Ltd, Trends Journals. The Journal's web site is located at http://www.elsevier.com/locate/tree
Citation
Trends in Ecology & Evolution, 2022, v. 37 n. 1, p. 20-29 How to Cite?
AbstractMarine 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.
Persistent Identifierhttp://hdl.handle.net/10722/308425
ISSN
2023 Impact Factor: 16.7
2023 SCImago Journal Rankings: 5.165
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorHarvey, BP-
dc.contributor.authorMarshall, KE-
dc.contributor.authorHarley, CDG-
dc.contributor.authorRussell, BD-
dc.date.accessioned2021-12-01T07:53:11Z-
dc.date.available2021-12-01T07:53:11Z-
dc.date.issued2022-
dc.identifier.citationTrends in Ecology & Evolution, 2022, v. 37 n. 1, p. 20-29-
dc.identifier.issn0169-5347-
dc.identifier.urihttp://hdl.handle.net/10722/308425-
dc.description.abstractMarine 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.-
dc.languageeng-
dc.publisherElsevier Ltd, Trends Journals. The Journal's web site is located at http://www.elsevier.com/locate/tree-
dc.relation.ispartofTrends in Ecology & Evolution-
dc.subjectMarine heatwaves-
dc.subjectTrait-based ecology-
dc.subjectClimate change-
dc.titlePredicting responses to marine heatwaves using functional traits-
dc.typeArticle-
dc.identifier.emailRussell, BD: brussell@hku.hk-
dc.identifier.authorityRussell, BD=rp02053-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.tree.2021.09.003-
dc.identifier.pmid34593256-
dc.identifier.scopuseid_2-s2.0-85115937597-
dc.identifier.hkuros330702-
dc.identifier.volume37-
dc.identifier.issue1-
dc.identifier.spage20-
dc.identifier.epage29-
dc.identifier.isiWOS:000732522300008-
dc.publisher.placeUnited Kingdom-

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