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Environmental filtering determines metacommunity structure in wetland microcrustaceans. Oecologia

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dc.contributor Universitat de Vic - Universitat Central de Catalunya. Centre Tecnològic BETA
dc.contributor.author Gascón, Stéphanie
dc.contributor.author Arranz, Ignasi
dc.contributor.author Cañedo-Argüelles, Miguel
dc.contributor.author Nebra, Alfonso
dc.contributor.author Ruhí, Albert
dc.contributor.author Rieradevall, Maria
dc.contributor.author Caiola, Nuno
dc.contributor.author Sala, Jordi
dc.contributor.author Ibàñez, Carles
dc.contributor.author Quintana, Xavier D.
dc.contributor.author Boix, Dani
dc.date.accessioned 2021-04-26T11:51:25Z
dc.date.available 2021-04-26T11:51:25Z
dc.date.created 2016
dc.date.issued 2016
dc.identifier.citation Gascón S., Arranz I., Cañedo-Argüelles M., Nebra A., Ruhí A. Rieradevall M. (2016). Environmental filtering determines metacommunity structure in wetland microcrustaceans. Oecologia, 181 (1), 193-205. https://doi.org/10.1007/s00442-015-3540-y es
dc.identifier.issn 0029-8549
dc.identifier.issn https://doi.org/10.1007/s00442-015-3540-y
dc.identifier.uri http://hdl.handle.net/10854/6612
dc.description.abstract Metacommunity approaches are becoming popular when analyzing factors driving species distribution at the regional scale. However, until the popularization of the variation partitioning technique it was difficult to assess the main drivers of the observed patterns (spatial or environmental). Here we propose a new framework linking the emergence of different metacommunity structures (e.g., nested, Gleasonian, Clementsian) to spatial and environmental filters. This is a novel approach that provides a more profound analysis of how both drivers could lead to similar metacommunity structures. We tested this framework on 110 sites covering a strong environmental gradient (i.e., microcrustacean assemblages organized along a salinity gradient, from freshwater to brackish water wetlands). First we identified the metacommunity structure that better fitted these microcrustacean assemblages. Then, we used hierarchical variation partitioning to quantify the relative influences of environmental filters and the distance among wetlands on the identified structure. Our results showed that under strong environmental filtering metacommunity structures were non-random. We also noted that even passive dispersers, that are supposed to be poorly spatially filtered, showed spatial signals at a large geographical scale. However, some difficulties arose when inferring biotic interactions at finer-scale spatial signals. Overall, our study shows the potential of elements of metacommunity structure combined with variation partition techniques to detect environmental drivers and broadscale patterns of metacommunity structure, and that some caution is needed when interpreting finer-scale spatial signals. es
dc.format application/pdf es
dc.format.extent 13 p. es
dc.language.iso eng es
dc.publisher Springer es
dc.rights Tots els drets reservats es
dc.rights (c) Springer
dc.subject.other Salinitat es
dc.subject.other Copepoda es
dc.subject.other Cladocera es
dc.subject.other Ostracoda es
dc.title Environmental filtering determines metacommunity structure in wetland microcrustaceans. Oecologia es
dc.type info:eu-repo/semantics/article es
dc.identifier.doi https://doi.org/10.1007/s00442-015-3540-y
dc.rights.accesRights info:eu-repo/semantics/openAccess es
dc.type.version info:eu-repo/acceptedVersion es
dc.indexacio Indexat a WOS/JCR es
dc.indexacio Indexat a SCOPUS es
dc.contribution.funder Instituto de Salud Carlos III
dc.contribution.funder Generalitat de Catalunya

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