Differential geographical and ecological dynamics allow diversification of morphologically convergent giant bromeliads in the Atlantic Forest
Maciel, Jefferson (2021), Differential geographical and ecological dynamics allow diversification of morphologically convergent giant bromeliads in the Atlantic Forest, Dryad, Dataset, https://doi.org/10.5061/dryad.c866t1g4m
Aim: This paper investigates evolutionary mechanisms that allow morphologically convergent lineages share the same geographical space. We compared the events occurred along the diversification of Karawata and Aechmea subgen. Chevaliera in Atlantic Forest by 1) verifying whether the climatic niches and habitats of Karawata and Aechmea subgen. Chevaliera are similar; 2) testing whether the two groups had the same pattern of colonization in the Atlantic Forest; and 3) evaluating whether they had the same evolutionary dynamics of environmental space occupation. We see the two bomeliad lineages as a model case to understand sympatric diversification in the Atlantic Forest biome.
Location: Brazilian Atlantic Forest
Taxon: Karawata and Aechmea subgen. Chevaliera (Bromeliaceae: Bromelioideae)
Methods: We explored differences in evolutionary dynamics between the lineages analyzing the divergence times, estimating ancestral ranges and habitats, testing niche similarity and evaluating shifts in speciation dynamics.
Results: Karawata and A. subgen. Chevaliera most likely originated in the Pliocene and diversified during the Pleistocene. The two clades originated in ombrophilous forests and shared a similar environmental space. However, Karawata and A. subgen. Chevaliera show different dynamics in the occupation of geographical and environmental spaces. Our results suggest that the São Francisco and Jequitinhonha Rivers acted as geographical barriers for Karawata and A. subgen. Chevaliera.
Main Conclusions: Differences in spatial and environmental evolutionary dynamics allow the two groups to occupy similar habitats as well as environmental and geographical spaces in the Brazilian Atlantic Forest.
The dataset is organized by sections like the paper.
Each section is organized in directories and contain data and scripts of R statistical environment to run analysis described in the paper. The only exception is the first directory that contain the alignment and priors configuration to run the divergence time analysis through Cipres Science Gateway.