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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

Geomorphology Drives Amphibian Beta Diversity in Atlantic Forest Lowlands of Southeastern Brazil

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Autor(es):
Luiz, Amom Mendes [1] ; Leao-Pires, Thiago Augusto [1] ; Sawaya, Ricardo J. [2]
Número total de Autores: 3
Afiliação do(s) autor(es):
[1] Univ Estadual Campinas UNICAMP, Inst Biol, Programa Posgrad Ecol, CP 6109, BR-3083970 Campinas, SP - Brazil
[2] Univ Fed Sao Paulo UNIFESP, Setor Ecol Biol Evolut, BR-09972270 Diadema, SP - Brazil
Número total de Afiliações: 2
Tipo de documento: Artigo Científico
Fonte: PLoS One; v. 11, n. 5 MAY 12 2016.
Citações Web of Science: 2
Resumo

Beta diversity patterns are the outcome of multiple processes operating at different scales. Amphibian assemblages seem to be affected by contemporary climate and dispersal-based processes. However, historical processes involved in present patterns of beta diversity remain poorly understood. We assess and disentangle geomorphological, climatic and spatial drivers of amphibian beta diversity in coastal lowlands of the Atlantic Forest, southeastern Brazil. We tested the hypothesis that geomorphological factors are more important in structuring anuran beta diversity than climatic and spatial factors. We obtained species composition via field survey (N = 766 individuals), museum specimens (N = 9,730) and literature records (N = 4,763). Sampling area was divided in four spatially explicit geomorphological units, representing historical predictors. Climatic descriptors were represented by the first two axis of a Principal Component Analysis. Spatial predictors in different spatial scales were described by Moran Eigenvector Maps. Redundancy Analysis was implemented to partition the explained variation of species composition by geomorphological, climatic and spatial predictors. Moreover, spatial autocorrelation analyses were used to test neutral theory predictions. Beta diversity was spatially structured in broader scales. Shared fraction between climatic and geomorphological variables was an important predictor of species composition (13%), as well as broad scale spatial predictors (13%). However, geomorphological variables alone were the most important predictor of beta diversity (42%). Historical factors related to geomorphology must have played a crucial role in structuring amphibian beta diversity. The complex relationships between geomorphological history and climatic gradients generated by the Serra do Mar Precambrian basements were also important. We highlight the importance of combining spatially explicit historical and contemporary predictors for understanding and disentangling major drivers of beta diversity patterns. (AU)

Processo FAPESP: 08/54472-2 - Diversidade, distribuição e conservação da herpetofauna do estado de São Paulo
Beneficiário:Ricardo Jannini Sawaya
Modalidade de apoio: Auxílio à Pesquisa - Jovens Pesquisadores