10.5061/DRYAD.8KC1V
Carnaval, Ana Carolina
City College of New York
Waltari, Eric
City College of New York
Rodrigues, Miguel T.
University of Sao Paulo
Rosauer, Dan
Australian National University
VanDerWal, Jeremy
James Cook University
Damasceno, Roberta
University of California, Berkeley
Prates, Ivan
City College of New York
Strangas, Maria
City College of New York
Spanos, Zoe
City College of New York
Rivera, Danielle
City College of New York
Pie, Marcio R.
Mater Natura – Instituto de Estudos Ambientais, Lamenha Lins 1080,
Curitiba, Paraná 80250, Brazil
Firkowski, Carina R.
Mater Natura – Instituto de Estudos Ambientais, Lamenha Lins 1080,
Curitiba, Paraná 80250, Brazil
Bornschein, Marcos R.
Mater Natura – Instituto de Estudos Ambientais, Lamenha Lins 1080,
Curitiba, Paraná 80250, Brazil
Ribeiro, Luiz F.
Mater Natura – Instituto de Estudos Ambientais, Lamenha Lins 1080,
Curitiba, Paraná 80250, Brazil
Moritz, Craig
Australian National University
Data from: Prediction of phylogeographic endemism in an environmentally
complex biome.
Dryad
dataset
2014
forest refugia
biodiversity prediction
Holocene
phylogeographic endemism
2014-07-25T14:41:09Z
2014-07-25T14:41:09Z
en
https://doi.org/10.1098/rspb.2014.1461
1138158570 bytes
1
CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
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.
Current Species ModelsThese are Maxent outputs of each species for present
day climate conditions. These outputs are used to determine distribution
presence/absence for phylogeographic endemism calculations in
Biodiverse.current_species_models.zipStability ModelsThese are the
processed stability estimates of the Atlantic Forest used in Figure 2, and
Supplemental Figure S2. They are again grouped by forest region (entire
forest, northern forest, southern forest) and into 0-21kybp and 0-120kybp
analyses, and additionally by dispersal level (0m/year, 5m/year &
10m/year).stability_models.zipClimate DataClimate and paleoclimatic data
(Bioclim - see www.worldclim.org) for the Atlantic Forest. Folders are
organized by climate age - e.g. 0 is present, 21 is 21 kybp, and 120 is
120kyp.climate_data.zipRaw Stability ModelsThese are Maxent outputs of the
Atlantic Forest over many timeslices used to determine forest stability.
The outputs are grouped by forest region (entire forest, northern forest,
southern forest) and into 0-21kybp and 0-120kybp
analyses.raw_stability_models.zip
Atlantic Forest