Comparar métodos

	Partición de la Diversidad Beta	Análisis de Valor Indicador
Campo	Ecología	Ecología
Familia	Process / pipeline	Process / pipeline
Año de origen	2010	1997
Autor original	Andres Baselga	Marc Dufrene and Pierre Legendre
Tipo	community differentiation analysis	species-habitat association analysis
Fuente seminal	Baselga, A. (2010). Partitioning the turnover and nestedness components of beta diversity. Global Ecology and Biogeography, 19(1), 134-143.	Dufrene, M., & Legendre, P. (1997). Species assemblages and indicator species: the need for a flexible asymmetrical approach. Ecological Monographs, 67(3), 345-366.
Alias	beta diversity, species turnover, nestedness, community dissimilarity	IndVal, indicator species, fidelity, specificity
Relacionados	4	4
Resumen	Beta 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.	Indicator Value (IndVal) analysis, developed by Dufrene and Legendre (1997), identifies species that reliably indicate the presence of particular environmental conditions, habitat types, or community groups. The method quantifies the association between species and habitat, producing an indicator value that combines specificity (exclusive preference for certain habitats) and fidelity (consistent presence when the habitat occurs). IndVal is widely used in conservation to identify species of management concern, in habitat typing to discover indicator species, and in restoration ecology to assess whether recovered communities match reference conditions.