Literature DB >> 25122231

Prediction of phylogeographic endemism in an environmentally complex biome.

Ana Carolina Carnaval1, Eric Waltari2, Miguel T Rodrigues3, Dan Rosauer4, Jeremy VanDerWal5, Roberta Damasceno6, Ivan Prates2, Maria Strangas2, Zoe Spanos2, Danielle Rivera2, Marcio R Pie7, Carina R Firkowski8, Marcos R Bornschein8, Luiz F Ribeiro9, Craig Moritz10.   

Abstract

Phylogeographic endemism, the degree to which the history of recently evolved lineages is spatially restricted, reflects fundamental evolutionary processes such as cryptic divergence, adaptation and biological responses to environmental heterogeneity. Attempts to explain the extraordinary diversity of the tropics, which often includes deep phylogeographic structure, frequently invoke interactions of climate variability across space, time and topography. To evaluate historical versus contemporary drivers of phylogeographic endemism in a tropical system, we analyse the effects of current and past climatic variation on the genetic diversity of 25 vertebrates in the Brazilian Atlantic rainforest. We identify two divergent bioclimatic domains within the forest and high turnover around the Rio Doce. Independent modelling of these domains demonstrates that endemism patterns are subject to different climatic drivers. Past climate dynamics, specifically areas of relative stability, predict phylogeographic endemism in the north. Conversely, contemporary climatic heterogeneity better explains endemism in the south. These results accord with recent speleothem and fossil pollen studies, suggesting that climatic variability through the last 250 kyr impacted the northern and the southern forests differently. Incorporating sub-regional differences in climate dynamics will enhance our ability to understand those processes shaping high phylogeographic and species endemism, in the Neotropics and beyond.
© 2014 The Author(s) Published by the Royal Society. All rights reserved.

Keywords:  Atlantic Forest; biodiversity prediction; climate; forest refugia; phylogeographic endemism

Mesh:

Year:  2014        PMID: 25122231      PMCID: PMC4150330          DOI: 10.1098/rspb.2014.1461

Source DB:  PubMed          Journal:  Proc Biol Sci        ISSN: 0962-8452            Impact factor:   5.349


  21 in total

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