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 & Evolution, 31 (6). pp. 419-428.

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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 unanswered. 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 of non-quantitative 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 'super-traits' 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.

Item ID: 45333
Item Type: Article (Refereed Research - C1)
ISSN: 1872-8383
Funders: Australian Research Council (ARC), Macquarie University's Genes to Geoscience Research Centre (MQ-GGRC)
Date Deposited: 05 Sep 2016 05:47
FoR Codes: 06 BIOLOGICAL SCIENCES > 0602 Ecology > 060207 Population Ecology @ 30%
06 BIOLOGICAL SCIENCES > 0603 Evolutionary Biology > 060308 Life Histories @ 40%
06 BIOLOGICAL SCIENCES > 0602 Ecology > 060205 Marine and Estuarine Ecology (incl Marine Ichthyology) @ 30%
SEO Codes: 96 ENVIRONMENT > 9608 Flora, Fauna and Biodiversity > 960808 Marine Flora, Fauna and Biodiversity @ 80%
96 ENVIRONMENT > 9603 Climate and Climate Change > 960305 Ecosystem Adaptation to Climate Change @ 20%
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