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A trait-based approach to advance coral reef science

Research output: Contribution to journalJournal article

Published
  • Josh Madin
  • Mia A. Hoogenboom
  • Sean Connolly
  • Emily Darling
  • Daniel Falster
  • Danwei Huang
  • Sal Keith
  • Toni Mizerek
  • John Pandolfi
  • Holly Putnam
  • Andrew Baird
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<mark>Journal publication date</mark>06/2016
<mark>Journal</mark>Trends in Ecology and Evolution
Issue number6
Volume31
Number of pages10
Pages (from-to)419-428
Publication statusPublished
Early online date8/03/16
Original languageEnglish

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.