A trait-based approach to advance coral reef science

Madin, Joshua S., Hoogenboom, Mia O., Connolly, Sean R., Darling, Emily S., Falster, Daniel S., Huang, Danwei, Keith, Sally A., Mizerek, Toni, Pandolfi, John M., Putnam, Hollie M. and Baird, Andrew H. (2016) A trait-based approach to advance coral reef science. Trends in Ecology and Evolution, 31 6: 419-428. doi:10.1016/j.tree.2016.02.012


Author Madin, Joshua S.
Hoogenboom, Mia O.
Connolly, Sean R.
Darling, Emily S.
Falster, Daniel S.
Huang, Danwei
Keith, Sally A.
Mizerek, Toni
Pandolfi, John M.
Putnam, Hollie M.
Baird, Andrew H.
Title A trait-based approach to advance coral reef science
Journal name Trends in Ecology and Evolution   Check publisher's open access policy
ISSN 0169-5347
1872-8383
Publication date 2016-06-01
Year available 2016
Sub-type Article (original research)
DOI 10.1016/j.tree.2016.02.012
Open Access Status Not Open Access
Volume 31
Issue 6
Start page 419
End page 428
Total pages 10
Place of publication Kidlington, Oxford, United Kingdom
Publisher Elsevier
Language eng
Abstract Coral reefs are biologically diverse and ecologically complex ecosystems constructed by stony corals. Despite decades of research, basic coral population biology and community ecology questions remain. Quantifying trait variation among species can help resolve these questions, but progress has been hampered by a paucity of trait data for the many, often rare, species and by a reliance on nonquantitative approaches. Therefore, we propose filling data gaps by prioritizing traits that are easy to measure, estimating key traits for species with missing data, and identifying ‘supertraits’ that capture a large amount of variation for a range of biological and ecological processes. Such an approach can accelerate our understanding of coral ecology and our ability to protect critically threatened global ecosystems.
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: HERDC Pre-Audit
School of Biological Sciences Publications
 
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Citation counts: TR Web of Science Citation Count  Cited 10 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 11 times in Scopus Article | Citations
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