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Correction: Corrigendum: The Coral Trait Database, a curated database of trait information for coral species from the global oceans

Authors :
Michael Stat
Magnus Heide Andreasen
Osmar J. Luiz
Danwei Huang
Janice M. Lough
Sean R. Connolly
Hollie M. Putnam
Tom C. L. Bridge
Julieta C. Martinelli
Daniel S. Falster
Andrew H. Baird
Morgan S. Pratchett
Aaron M. T. Harmer
Carden C. Wallace
John M. Pandolfi
T. Edward Roberts
Ruth D. Gates
Catherine E. Lovelock
Erik C. Franklin
Sally A. Keith
Marcela Diaz
Joshua S. Madin
Elizabeth Widman
Xavier Pochon
Matthew A. Kosnik
Emily S. Darling
Chao-Yang Kuo
Mia O. Hoogenboom
Stephen D. Cairns
Kristen G. Anderson
Toni Mizerek
Source :
Scientific Data
Publication Year :
2017
Publisher :
Springer Science and Business Media LLC, 2017.

Abstract

Trait-based approaches advance ecological and evolutionary research because traits provide a strong link to an organism's function and fitness. Trait-based research might lead to a deeper understanding of the functions of, and services provided by, ecosystems, thereby improving management, which is vital in the current era of rapid environmental change. Coral reef scientists have long collected trait data for corals; however, these are difficult to access and often under-utilized in addressing large-scale questions. We present the Coral Trait Database initiative that aims to bring together physiological, morphological, ecological, phylogenetic and biogeographic trait information into a single repository. The database houses species- and individual-level data from published field and experimental studies alongside contextual data that provide important framing for analyses. In this data descriptor, we release data for 56 traits for 1547 species, and present a collaborative platform on which other trait data are being actively federated. Our overall goal is for the Coral Trait Database to become an open-source, community-led data clearinghouse that accelerates coral reef research.

Details

ISSN :
20524463
Volume :
4
Database :
OpenAIRE
Journal :
Scientific Data
Accession number :
edsair.doi.dedup.....3eddcc5909c751245eb46def2b31eda7
Full Text :
https://doi.org/10.1038/sdata.2017.174