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Environmental correlates of taxonomic and phylogenetic diversity in the Atlantic Forest
Author(s) -
Paz Andrea,
Brown Jason L.,
Cordeiro Carlos L. O.,
AguirreSantoro Julian,
Assis Claydson,
Amaro Renata Cecilia,
Raposo do Amaral Fabio,
Bochorny Thuane,
Bacci Lucas F.,
Caddah Mayara K.,
d’Horta Fernando,
Kaehler Miriam,
Lyra Mariana,
Grohmann Carlos Henrique,
Reginato Marcelo,
SilvaBrandão Karina Lucas,
Freitas André Victor Lucci,
Goldenberg Renato,
Lohmann Lúcia G.,
Michelangeli Fabián A.,
Miyaki Cristina,
Rodrigues Miguel T.,
Silva Thiago S.,
Carnaval Ana C.
Publication year - 2021
Publication title -
journal of biogeography
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.7
H-Index - 158
eISSN - 1365-2699
pISSN - 0305-0270
DOI - 10.1111/jbi.14083
Subject(s) - phylogenetic diversity , species richness , phylogenetic tree , ecology , taxon , endemism , clade , biology , biodiversity , species diversity , alpha diversity , phylogenetics , biochemistry , gene
Aim There is little consensus on which environmental variables are best at predicting multiple dimensions of diversity. We ask whether there are common environmental correlates of diversity, despite ecological differences, across nine clades of plants and animals distributed along a single rainforest domain. For that, we compare the environmental correlates of species richness, phylogenetic diversity, and phylogenetic endemism. Location Brazilian Atlantic Forest. Taxon: Five clades of plants (Bromelioideae, Miconieae, Bertolonia , Cambessedesieae, and the Fridericia  and allies) and four clades of animals (butterlies in the tribe Ithomiini, frogs in the genera  Boana and  Proceratophrys , and birds in the subfamily Thraupinae). Methods Using curated occurrence localities and phylogenetic data, we generated maps of (a) species richness, (b) phylogenetic diversity, (c) residuals of phylogenetic diversity regressed on species richness, and (d) phylogenetic endemism for all groups. We also compiled a set of 30 environmental descriptors, including records of current temperature and precipitation, climatic stability over time, and topography. Through a machine learning framework, we explored the environmental correlates of each of these diversity measures for each group. Results The environmental variables used here were strong predictors of diversity for all studied groups. However, models for phylogenetic endemism had lower predictive power. Although patterns of diversity are different among groups, correlates of diversity are consistent across taxa. For both species richness and phylogenetic diversity, current precipitation and precipitation stability over time were consistently ranked among the variables that strongly correlate with diversity patterns. The correlates of phylogenetic endemism were less homogeneous across groups. The results suggest that including climate stability over time is important when predicting diversity measures that reflect historical components. Main conclusions Investigating environmental correlates of diversity for multiple clades and diversity measures in a single geographic area allows for a better understanding of common patterns across taxa. This study shows that environmental conditions, particularly precipitation, are good predictors of the patterns of species richness and phylogenetic diversity‐but not phylogenetic endemism‐across different Atlantic Forest groups.

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