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- Publisher Website: 10.1016/j.tree.2021.09.003
- Scopus: eid_2-s2.0-85115937597
- PMID: 34593256
- WOS: WOS:000732522300008
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Article: Predicting responses to marine heatwaves using functional traits
Title | Predicting responses to marine heatwaves using functional traits |
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Authors | |
Keywords | Marine heatwaves Trait-based ecology Climate change |
Issue Date | 2022 |
Publisher | Elsevier 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? |
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. |
Persistent Identifier | http://hdl.handle.net/10722/308425 |
ISSN | 2023 Impact Factor: 16.7 2023 SCImago Journal Rankings: 5.165 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Harvey, BP | - |
dc.contributor.author | Marshall, KE | - |
dc.contributor.author | Harley, CDG | - |
dc.contributor.author | Russell, BD | - |
dc.date.accessioned | 2021-12-01T07:53:11Z | - |
dc.date.available | 2021-12-01T07:53:11Z | - |
dc.date.issued | 2022 | - |
dc.identifier.citation | Trends in Ecology & Evolution, 2022, v. 37 n. 1, p. 20-29 | - |
dc.identifier.issn | 0169-5347 | - |
dc.identifier.uri | http://hdl.handle.net/10722/308425 | - |
dc.description.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. | - |
dc.language | eng | - |
dc.publisher | Elsevier Ltd, Trends Journals. The Journal's web site is located at http://www.elsevier.com/locate/tree | - |
dc.relation.ispartof | Trends in Ecology & Evolution | - |
dc.subject | Marine heatwaves | - |
dc.subject | Trait-based ecology | - |
dc.subject | Climate change | - |
dc.title | Predicting responses to marine heatwaves using functional traits | - |
dc.type | Article | - |
dc.identifier.email | Russell, BD: brussell@hku.hk | - |
dc.identifier.authority | Russell, BD=rp02053 | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1016/j.tree.2021.09.003 | - |
dc.identifier.pmid | 34593256 | - |
dc.identifier.scopus | eid_2-s2.0-85115937597 | - |
dc.identifier.hkuros | 330702 | - |
dc.identifier.volume | 37 | - |
dc.identifier.issue | 1 | - |
dc.identifier.spage | 20 | - |
dc.identifier.epage | 29 | - |
dc.identifier.isi | WOS:000732522300008 | - |
dc.publisher.place | United Kingdom | - |