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.

Preview	PDF (Accepted Version) - Accepted Version Available under License Creative Commons Attribution. Download (173kB) | Preview
	PDF (Published Version) - Published Version Restricted to Repository staff only

 

140

1607

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.

Actions (Repository Staff Only)

Item Control Page