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dc.contributor.authorde Bello, Francesco
dc.contributor.authorCarmona, Carlos P.
dc.contributor.authorSebastià, Ma. T.
dc.contributor.authorLeps, Jan
dc.contributor.authorMason, Norman W. H.
dc.date.accessioned2016-12-15T09:35:43Z
dc.date.issued2013
dc.identifier.issn1100-9233
dc.identifier.urihttp://hdl.handle.net/10459.1/58818
dc.description.abstractQuestion: Many functional diversity indices require the calculation of functional trait dissimilarities between species. However, very little is known about how the dissimilarity measure used might affect conclusions about ecological processes drawn from functional diversity. Methods: We simulated real applications of functional diversity, to illustrate the key properties of the two most common families of dissimilarity measures: (1) ‘Gower’ distance, using only ‘mean trait’ value per species and then standardizing each trait, e.g. relative to its range; (2) ‘trait overlap’ between species, which takes into account within-species trait variability.We then examine how these approaches could affect conclusions about ecological processes commonly assessed with functional diversity. We also propose a new R function (‘trova’, i.e. TRait OVerlAp) which performs computations to estimate species trait dissimilaritywith different types of data. Results: The trait overlap approach generally produces a less context-dependentmeasure of functional dissimilarity. For example, the results are less dependent on the transformation of trait data (often required in empirical datasets) and on the particular pool of species considered (i.e. trait range, regularity and presence of outliers). The results therefore could bemore easily compared across studies and biomes. Further, trait overlap more reliably reproduces patterns expected when niche differentiation structures communities. The Gower approach, on the contrary,more reliably detects environmental filtering effects. Conclusion: The two approaches imply different conceptions of how species dissimilarities relate to niche differentiation. Trait overlap is suitable for testing the effect of species interactions on functional diversity within local communities, especiallywhen relatively small differences in species traits are linked to different resource acquisition. Gower is better suited to detecting changes in functional diversity along environmental gradients, as greater differences in trait values reflect increased niche differentiation. Combining trait overlap and Gower approachesmay provide a novel way to assess the joint effects of environmental filtering and niche complementarity on community assembly. We suggest that attention should be given not only to the index of functional diversity considered but also whether the dissimilarity used is appropriate for the study context.ca_ES
dc.description.sponsorshipThis research was supported by the Grant Agency of the Czech Republic (GACR P505/12/1296 and P505/12/1390). CPC was supported by a FPI scholarship (BES-2008- 009821).ca_ES
dc.language.isoengca_ES
dc.publisherWileyca_ES
dc.relation.isformatofReproducció del document publicat a https://doi.org/10.1111/jvs.12008ca_ES
dc.relation.ispartofJournal of Vegetation Science, 2013, vol. 24, núm. 5ca_ES
dc.rights(c) International Association for Vegetation Science, 2012ca_ES
dc.subjectBiodiversityca_ES
dc.subjectCommunity assemblyca_ES
dc.subjectEnvironmental fiteringca_ES
dc.titleWhich trait dissimilarity for functional diversity: traitmeans or trait overlap?ca_ES
dc.typearticleca_ES
dc.identifier.idgrec022397
dc.type.versionpublishedVersionca_ES
dc.rights.accessRightsinfo:eu-repo/semantics/restrictedAccessca_ES
dc.identifier.doihttps://doi.org/10.1111/jvs.12008
dc.date.embargoEndDate2025-01-01


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