10.5061/DRYAD.JDFN2Z3D7
Maestri, Renan
0000-0001-9134-2943
Federal University of Rio Grande do Sul
Luza, André L.
Universidade Federal de Santa Maria
Hartz, Sandra M.
Federal University of Rio Grande do Sul
de Freitas, Thales R.O.
Federal University of Rio Grande do Sul
Patterson, Bruce D.
0000-0002-2249-7260
Field Museum of Natural History
Bridging macroecology and macroevolution in the radiation of sigmodontine
rodents
Dryad
dataset
2022
FOS: Biological sciences
Brownian motion
evolutionary macroecology
functional diversity
null model
trait evolution
National Council for Scientific and Technological Development
https://ror.org/03swz6y49
406497/2018-4
Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul
https://ror.org/05k49za97
21/2551-0000620-0
2022-05-13T00:00:00Z
2022-05-13T00:00:00Z
en
https://doi.org/10.1111/evo.13155
https://doi.org/10.1111/jeb.12937
https://doi.org/10.1111/ecog.03001
https://doi.org/10.5281/zenodo.6540739
401886849 bytes
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CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
Investigations of phenotypic disparity across geography often ignore
macroevolutionary processes. As a corollary, the random null expectations
to which disparity is compared and interpreted may be unrealistic. We
tackle this issue by representing, in geographical space, distinct
processes of phenotypic evolution underlying ecological disparity. Under
divergent natural selection, assemblages in a given region should have
empirical disparity higher than expected under an evolutionarily-oriented
null model, while the opposite may indicate constraints on phenotypic
evolution. We gathered phylogenies, biogeographic distributions, and data
on the skull morphology of sigmodontine rodents to discover which regions
of the Neotropics were more influenced by divergent, neutral, or
constrained phenotypic evolution. We found that regions with higher
disparity than expected by the evolutionary-oriented null model, in
terms of both size and shape, were concentrated in the Atlantic Forest,
suggesting a larger role for divergent natural selection there. Phenotypic
disparity in the rest of South America, mainly the Amazon basin,
northeastern Brazil and Southern Andes, was constrained — lower than
predicted by the evolutionary model. We also demonstrated equivalence
between the disparity produced by randomization-based null models and
constrained-evolution null models. Therefore, including evolutionary
simulations into the null modeling framework used in ecophylogenetics can
strengthen inferences on the processes underlying phenotypic evolution.
Please see the README files.