The Coral Trait Database, a curated database of trait information for coral species from the global oceans
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Published:2016-03-29
Issue:1
Volume:3
Page:
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ISSN:2052-4463
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Container-title:Scientific Data
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language:en
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Short-container-title:Sci Data
Author:
Madin Joshua S., Anderson Kristen D., Andreasen Magnus Heide, Bridge Tom C.L., Cairns Stephen D., Connolly Sean R.ORCID, Darling Emily S., Diaz Marcela, Falster Daniel S.ORCID, Franklin Erik C., Gates Ruth D., Harmer Aaron M.T., Hoogenboom Mia O., Huang Danwei, Keith Sally A., Kosnik Matthew A.ORCID, Kuo Chao-Yang, Lough Janice M., Lovelock Catherine E., Luiz Osmar, Martinelli Julieta, Mizerek Toni, Pandolfi John M., Pochon Xavier, Pratchett Morgan S., Putnam Hollie M.ORCID, Roberts T. Edward, Stat Michael, Wallace Carden C., Widman Elizabeth, Baird Andrew H.
Abstract
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.
Publisher
Springer Science and Business Media LLC
Subject
Library and Information Sciences,Statistics, Probability and Uncertainty,Computer Science Applications,Education,Information Systems,Statistics and Probability
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