Environmental correlates of taxonomic and phylogenetic diversity in the Atlantic Forest

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Paz, Andrea ^{[1, 2]} ; Brown, Jason L. ^{[1, 3]} ; Cordeiro, Carlos L. O. ^[4] ; Aguirre-Santoro, Julian ^{[5, 2]} ; Assis, Claydson ^[6] ; Amaro, Renata Cecilia ^[6] ; Raposo do Amaral, Fabio ^[7] ; Bochorny, Thuane ^[8] ; Bacci, Lucas F. ^[8] ; Caddah, Mayara K. ^[9] ; d'Horta, Fernando ^[6] ; Kaehler, Miriam ^[6] ; Lyra, Mariana ^{[10, 11]} ; Grohmann, Carlos Henrique ^[12] ; Reginato, Marcelo ^[13] ; Silva-Brandao, Karina Lucas ^[14] ; Freitas, Andre Victor Lucci ^{[15, 16]} ; Goldenberg, Renato ^[17] ; Lohmann, Lucia G. ^[6] ; Michelangeli, Fabian A. ^{[18, 2]} ; Miyaki, Cristina ^[19] ; Rodrigues, Miguel T. ^[6] ; Silva, Thiago S. ^{[20, 4]} ; Carnaval, Ana C. ^{[1, 2]}

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^[1] CUNY, Dept Biol, New York, NY 10021 - USA

^[2] CUNY, Grad Ctr, PhD Program Biol, New York, NY - USA

^[3] Southern Illinois Univ, Sch Biol Sci, Dept Zool, Carbondale, IL 62901 - USA

^[4] UNESP Univ Estadual Paulista, Inst Geociencias & Ciencias Exatas, Dept Geog, Observ Dinam Ecossistem, Rio Claro, SP - Brazil

^[5] Univ Nacl Colombia, Inst Ciencias Nat, Bogota - Colombia

^[6] Univ Sao Paulo, Inst Biociencias, Sao Paulo, SP - Brazil

^[7] Univ Fed Sao Paulo, Dept Ecol & Biol Evolut, Sao Paulo, SP - Brazil

^[8] Univ Estadual Campinas, Inst Biol, Dept Biol Vegetal, Campinas, SP - Brazil

^[9] Univ Fed Santa Catarina, Florianopolis, SC - Brazil

^[10] Univ Estadual Paulista, Inst Biociencias, Ctr Aquicultura CAUNESP, Rio Claro, SP - Brazil

^[11] Univ Estadual Paulista, Inst Biociencias, Dept Biodiversidade, Rio Claro, SP - Brazil

^[12] Univ Sao Paulo, Inst Energy & Environm, Sao Paulo, SP - Brazil

^[13] Univ Fed Rio Grande, Dept Bot, Porto Alegre, RS - Brazil

^[14] Univ Fed ABC, UFABC, Santo Andre, SP - Brazil

^[15] Univ Estadual Campinas, Inst Biol, Dept Biol Anim, Campinas - Brazil

^[16] Univ Estadual Campinas, Inst Biol, Museu Biodiversidade, Campinas - Brazil

^[17] Univ Fed Parana, Curitiba, PR - Brazil

^[18] New York Bot Garden, Inst Systemat Bot, New York, NY - USA

^[19] Univ Sao Paulo, Inst Biociencias, Dept Genet & Biol Evolut, Sao Paulo, SP - Brazil

^[20] Univ Stirling, Fac Nat Sci, Biol & Environm Sci, Stirling - Scotland

• Tipo de documento: Artigo Científico
• Fonte: Journal of Biogeography; v. 48, n. 6 MAR 2021.
• Citações Web of Science: 1

Resumo

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. (AU)

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• Modalidade de apoio: Bolsas no Brasil - Programa BIOTA - Jovens Pesquisadores