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Particionament de la diversitat beta×Diversitat Filogenètica de Faith×
CampEcologiaEcologia
FamíliaProcess / pipelineProcess / pipeline
Any d'origen20101992
Autor originalAndres BaselgaDavid Faith
Tipuscommunity differentiation analysisevolutionary diversity quantification
Font seminalBaselga, A. (2010). Partitioning the turnover and nestedness components of beta diversity. Global Ecology and Biogeography, 19(1), 134-143. DOI ↗Faith, D. P. (1992). Conservation evaluation and phylogenetic diversity. Biological Conservation, 61(1), 1-10. DOI ↗
Àliesbeta diversity, species turnover, nestedness, community dissimilarityphylogenetic diversity, PD, evolutionary distinctiveness, branch length
Relacionats44
ResumBeta diversity partitioning quantifies how species composition differs among sites, decomposing community dissimilarity into two components: species turnover (replacement of species across sites) and nestedness (loss of species from species-rich sites). Developed by Baselga (2010), this framework reveals whether sites differ because they have different species (turnover) or because some sites are subsets of others (nestedness). This distinction has ecological and conservation implications: turnover suggests environmental heterogeneity or speciation, while nestedness suggests habitat loss or extinction.Faith's Phylogenetic Diversity (PD), introduced by David Faith (1992), measures the evolutionary diversity within a community by summing the branch lengths of a phylogenetic tree connecting all species. Unlike species richness, which counts species equally regardless of evolutionary relationships, PD weights species by their evolutionary distinctiveness: a community with evolutionarily distant species has higher PD than one dominated by recently diverged species. PD is widely used in conservation to prioritize protection of species and habitats that preserve evolutionary history.
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ScholarGateCompara mètodes: Beta Diversity Partitioning · Faith's Phylogenetic Diversity. Recuperat el 2026-06-19 de https://scholargate.app/ca/compare