Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/180777
Title: DISPERSE, a trait database to assess the dispersal potential of European aquatic macroinvertebrates
Author: Sarremejane, Romain
Cid Puey, Núria
Stubbington, Rachel
Datry, Thibault
Alp, Maria
Cañedo-Argüelles, Miguel
Cordero Rivera, Adolfo
Csabai, Zoltán
Gutiérrez Cánovas, Cayetano
Heino, Jani
Forcellini, Maxence
Millán, Andrés
Paillex, Amael
Paril, Petr
Polásek, Marek
Tierno De Figueroa, José Manuel
Usseglio-Polatera, Philippe
Zamora Muñoz, Carmen
Bonada i Caparrós, Núria
Keywords: Dispersió dels animals
Invertebrats aquàtics
Europa
Bases de dades
Dispersal of animals
Aquatic invertebrates
Europe
Databases
Issue Date: 11-Nov-2020
Publisher: Springer Nature
Abstract: Dispersal is an essential process in population and community dynamics, but is difficult to measure in the field. In freshwater ecosystems, information on biological traits related to organisms' morphology, life history and behaviour provides useful dispersal proxies, but information remains scattered or unpublished for many taxa. We compiled information on multiple dispersal-related biological traits of European aquatic macroinvertebrates in a unique resource, the DISPERSE database. DISPERSE includes nine dispersal-related traits subdivided into 39 trait categories for 480 taxa, including Annelida, Mollusca, Platyhelminthes, and Arthropoda such as Crustacea and Insecta, generally at the genus level. Information within DISPERSE can be used to address fundamental research questions in metapopulation ecology, metacommunity ecology, macroecology and evolutionary ecology. Information on dispersal proxies can be applied to improve predictions of ecological responses to global change, and to inform improvements to biomonitoring, conservation and management strategies. The diverse sources used in DISPERSE complement existing trait databases by providing new information on dispersal traits, most of which would not otherwise be accessible to the scientific community.
Note: Reproducció del document publicat a: https://doi.org/10.1038/s41597-020-00732-7
It is part of: Scientific Data, 2020, vol. 7, num. 386, p. 1-9
URI: http://hdl.handle.net/2445/180777
Related resource: https://doi.org/10.1038/s41597-020-00732-7
ISSN: 2052-4463
Appears in Collections:Articles publicats en revistes (Biologia Evolutiva, Ecologia i Ciències Ambientals)

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