Elevation drives taxonomic, functional and phylogenetic β-diversity of phyllostomid bats in the Amazon biome

Aim: We evaluated the relative importance of geographical and environment variables for taxonomic, phylogenetic and functional β-diversity of phyllostomid bats along the entire Amazon biome and specifically in the lowlands. Location: Amazon biome. Taxon: Chiroptera. Methods: We carried out a bibliog...

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Bibliographic Details
Authors: Mustin Carvalho, William Douglas, Fluck, Isadora E., Castro, Isaí Jorge de, Hilário, Renato Richard, Moreira Martins, Ana Carolina, Toledo, José Júlio de, Silva Xavier, Bruna da, Dambros, Cristian, Bobrowiec, Paulo E. D.
Format: article
Publication Date:2022
Country:España
Institution:Universidad Autónoma de Madrid
Repository:Biblos-e Archivo. Repositorio Institucional de la UAM
Language:English
OAI Identifier:oai:repositorio.uam.es:10486/705411
Online Access:http://hdl.handle.net/10486/705411
https://dx.doi.org/10.1111/jbi.14533
Access Level:Open access
Keyword:Amazonia
Biogeographical regions
Chiroptera
Dispersal capacity
Geographical barrier
Neotropics
Riverine barrier-hypothesis
Species distribution
Medio Ambiente
Description
Summary:Aim: We evaluated the relative importance of geographical and environment variables for taxonomic, phylogenetic and functional β-diversity of phyllostomid bats along the entire Amazon biome and specifically in the lowlands. Location: Amazon biome. Taxon: Chiroptera. Methods: We carried out a bibliographic review and compiled a wide and unprecedented database of 106 phyllostomid bat species at 102 sites throughout the Amazon biome. For all possible pairs of sites in both datasets, we estimated the Jaccard pairwise dissimilarity, that is, β-diversity, considering its three dimensions—taxonomic, phylogenetic and functional—for its two components—turnover (substitution of species) and differences in species richness. The association between dissimilarity measurements and geographical and environment variables was assessed using multiple regressions on distance matrices (MRM). Results: We found that turnover and differences in species richness had similar contributions to the taxonomic β-diversity. However, for phylogenetic and functional β-diversity, lineages and functions richness differences contribute slightly more than turnover for total β-diversity. In the lowlands, species, lineages and functions richness differences were slightly higher than turnover for all diversity dimensions. When accounting for all the sites, elevation was the main predictor of phyllostomid bats' taxonomic, phylogenetic and functional turnover. For lowland sites, ecoregions was the main (but relatively weak) predictor associated with all β-diversity dimensions. Main conclusions: Analysis of filtering sites according to elevation revealed that species in the Amazonian lowlands are taxonomically and phylogenetically different from species in the Andes, and present taxonomic, phylogenetic and functional redundancy between assemblages. When accounting for the whole range of distribution of bats, results showed the predominant effect of elevation over other geographical and environmental predictors. This indicates that the diversity of good dispersers such as bats is more affected by specialisation along environment and climatic gradients than by geographical barriers throughout the Amazon biome