2026-04-19T13:35:57Zhttps://recercat.cat/oai/request
oai:recercat.cat:2445/2196312025-12-05T14:27:19Zcom_2072_1057col_2072_478778col_2072_478909col_2072_478917
RECERCAT author Gómez-Gras, David author Linares Prats, Cristina author Viladrich Canudas, Núria author Zentner, Yanis author Grinyó, Jordi author Gori, Andrea author McFadden, Catherine S. author Fabricius, Katharina author Madin, Joshua 2025-03-11T13:58:24Z2025-03-11T13:58:24Z2025-01-152025-03-11T13:58:24Z Trait-based approaches are revolutionizing our understanding of high-diversity ecosystems byproviding insights into the principles underlying key ecological processes, such as community assembly,species distribution, resilience, and the relationship between biodiversity and ecosystem functioning.In 2016, the Coral Trait Database advanced coral reef science by centralizing trait information for stonycorals (i.e., Subphylum Anthozoa, Class Hexacorallia, Order Scleractinia). However, the absence oftrait data for soft corals, gorgonians, and sea pens (i.e., Class Octocorallia) limits our understandingof ecosystems where these organisms are significant members and play pivotal roles. To address thisgap, we introduce the Octocoral Trait Database, a global, open-source database of curated trait datafor octocorals. This database houses species- and individual-level data, complemented by contextualinformation that provides a relevant framework for analyses. The inaugural dataset, OctocoralTraitsv2.2, contains over 97,500 global trait observations across 98 traits and over 3,500 species. Thedatabase aims to evolve into a steadily growing, community-led resource that advances future marinescience, with a particular emphasis on coral reef research. cc-by (c) Gómez-Gras, D. et al., 2025 http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess Ecologia marina Cnidaris Marine ecology Cnidaria The Octocoral Trait Database: a global database of trait information for octocoral species info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion