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Cited by 332

The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index.

Prediction of phylogeographic endemism in an environmentally complex biome

Open access
Carnaval, Ana Carolina, Waltari, Eric, Rodrigues, Miguel T., Rosauer, Dan, VanDerWal, Jeremy, Damasceno, Roberta, Prates, Ivan, Strangas, Maria, Spanos, Zoe, Rivera, Danielle, Pie, Marcio R., Firkowski, Carina R., Bornschein, Marcos R., Ribeiro, Luiz F., Moritz, Craig·2014·Proceedings of the Royal Society B: Biological Sciences

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.

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Metadata

Authors
Carnaval, A. C., Waltari, E., Rodrigues, M. T., Rosauer, D., VanDerWal, J., Damasceno, R., Prates, I., Strangas, M., Spanos, Z., Rivera, D., Pie, M. R., Firkowski, C. R., Bornschein, M. R., Ribeiro, L. F., & Moritz, C.
Venue
Proceedings of the Royal Society B: Biological Sciences
Published
2014-10-07
Volume
281
Issue
1792
Pages
20141461
ISSN
  • 0080-4649 (ISSN-L)
  • 0962-8452
  • 1471-2954
OpenAlex
W2095829082
Cited by
332
References
45
FWCI
16.84
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Prediction of phylogeographic endemism in an environmentally complex biome. https://app.cochat.ai/papers/10.1098/rspb.2014.1461
The paper
Carnaval, A. C., Waltari, E., Rodrigues, M. T., Rosauer, D., VanDerWal, J., Damasceno, R., Prates, I., Strangas, M., Spanos, Z., Rivera, D., Pie, M. R., Firkowski, C. R., Bornschein, M. R., Ribeiro, L. F., & Moritz, C. (2014). Prediction of phylogeographic endemism in an environmentally complex biome. Proceedings of the Royal Society B: Biological Sciences. https://doi.org/10.1098/rspb.2014.1461

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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