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Functional traits and phylogeny explain snake distribution in the world's largest dry forest ecoregion, the Gran Chaco

Macroecological studies describe large‐scale diversity patterns through analyses of species distribution patterns and allows us to elucidate how species differing in ecology, physical requirements, and life histories are distributed in a multidimensional space. These patterns of distributions can be...

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Detalles Bibliográficos
Autores principales: Cabral, Hugo, Guedes, Thaís B., Santana, Diego J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9666913/
https://www.ncbi.nlm.nih.gov/pubmed/36407904
http://dx.doi.org/10.1002/ece3.9503
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author Cabral, Hugo
Guedes, Thaís B.
Santana, Diego J.
author_facet Cabral, Hugo
Guedes, Thaís B.
Santana, Diego J.
author_sort Cabral, Hugo
collection PubMed
description Macroecological studies describe large‐scale diversity patterns through analyses of species distribution patterns and allows us to elucidate how species differing in ecology, physical requirements, and life histories are distributed in a multidimensional space. These patterns of distributions can be explained by vegetation, and climatic factors, and are determined by historical and current factors. The continuous accumulation of information on the distribution patterns of species is essential to understand the history and evolution of the biota. In this study, we aimed to identify functional and evolutionary drivers that explain the geographic patterns of vertical stratification. We compiled morphological, ecological, and distribution data of 140 species of Chacoan snakes and constructed null models to map their geographic pattern. We used a range of environmental variables to assess which drivers are influencing these biogeographic patterns. Lastly, we used evolutionary data to build the first map of the phylogenetic regions of Chacoan snakes. We found a latitudinal pattern, with a marked verticality in the snake assemblies in the Chaco. Verticality and long‐tailed species richness increased in areas with high stratified habitats and stable temperature. Fossoriality is driven mainly by soil conditions, especially soils with fewer sand particles and less stratified habitat. Phylogenetic regions in the Chaco showed a marked latitudinal pattern, like that observed in the geographic pattern of verticality. The distribution pattern of Chacoan snakes also reflects their evolutionary history, with a marked phylogenetic regionalization.
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spelling pubmed-96669132022-11-17 Functional traits and phylogeny explain snake distribution in the world's largest dry forest ecoregion, the Gran Chaco Cabral, Hugo Guedes, Thaís B. Santana, Diego J. Ecol Evol Research Articles Macroecological studies describe large‐scale diversity patterns through analyses of species distribution patterns and allows us to elucidate how species differing in ecology, physical requirements, and life histories are distributed in a multidimensional space. These patterns of distributions can be explained by vegetation, and climatic factors, and are determined by historical and current factors. The continuous accumulation of information on the distribution patterns of species is essential to understand the history and evolution of the biota. In this study, we aimed to identify functional and evolutionary drivers that explain the geographic patterns of vertical stratification. We compiled morphological, ecological, and distribution data of 140 species of Chacoan snakes and constructed null models to map their geographic pattern. We used a range of environmental variables to assess which drivers are influencing these biogeographic patterns. Lastly, we used evolutionary data to build the first map of the phylogenetic regions of Chacoan snakes. We found a latitudinal pattern, with a marked verticality in the snake assemblies in the Chaco. Verticality and long‐tailed species richness increased in areas with high stratified habitats and stable temperature. Fossoriality is driven mainly by soil conditions, especially soils with fewer sand particles and less stratified habitat. Phylogenetic regions in the Chaco showed a marked latitudinal pattern, like that observed in the geographic pattern of verticality. The distribution pattern of Chacoan snakes also reflects their evolutionary history, with a marked phylogenetic regionalization. John Wiley and Sons Inc. 2022-11-15 /pmc/articles/PMC9666913/ /pubmed/36407904 http://dx.doi.org/10.1002/ece3.9503 Text en © 2022 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Cabral, Hugo
Guedes, Thaís B.
Santana, Diego J.
Functional traits and phylogeny explain snake distribution in the world's largest dry forest ecoregion, the Gran Chaco
title Functional traits and phylogeny explain snake distribution in the world's largest dry forest ecoregion, the Gran Chaco
title_full Functional traits and phylogeny explain snake distribution in the world's largest dry forest ecoregion, the Gran Chaco
title_fullStr Functional traits and phylogeny explain snake distribution in the world's largest dry forest ecoregion, the Gran Chaco
title_full_unstemmed Functional traits and phylogeny explain snake distribution in the world's largest dry forest ecoregion, the Gran Chaco
title_short Functional traits and phylogeny explain snake distribution in the world's largest dry forest ecoregion, the Gran Chaco
title_sort functional traits and phylogeny explain snake distribution in the world's largest dry forest ecoregion, the gran chaco
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9666913/
https://www.ncbi.nlm.nih.gov/pubmed/36407904
http://dx.doi.org/10.1002/ece3.9503
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