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Patterns, biases and prospects in the distribution and diversity of Neotropical snakes

MOTIVATION: We generated a novel database of Neotropical snakes (one of the world's richest herpetofauna) combining the most comprehensive, manually compiled distribution dataset with publicly available data. We assess, for the first time, the diversity patterns for all Neotropical snakes as we...

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Autores principales: Guedes, Thaís B., Sawaya, Ricardo J., Zizka, Alexander, Laffan, Shawn, Faurby, Søren, Pyron, R. Alexander, Bérnils, Renato S., Jansen, Martin, Passos, Paulo, Prudente, Ana L. C., Cisneros‐Heredia, Diego F., Braz, Henrique B., Nogueira, Cristiano de C., Antonelli, Alexandre, Meiri, Shai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5765514/
https://www.ncbi.nlm.nih.gov/pubmed/29398972
http://dx.doi.org/10.1111/geb.12679
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author Guedes, Thaís B.
Sawaya, Ricardo J.
Zizka, Alexander
Laffan, Shawn
Faurby, Søren
Pyron, R. Alexander
Bérnils, Renato S.
Jansen, Martin
Passos, Paulo
Prudente, Ana L. C.
Cisneros‐Heredia, Diego F.
Braz, Henrique B.
Nogueira, Cristiano de C.
Antonelli, Alexandre
Meiri, Shai
author_facet Guedes, Thaís B.
Sawaya, Ricardo J.
Zizka, Alexander
Laffan, Shawn
Faurby, Søren
Pyron, R. Alexander
Bérnils, Renato S.
Jansen, Martin
Passos, Paulo
Prudente, Ana L. C.
Cisneros‐Heredia, Diego F.
Braz, Henrique B.
Nogueira, Cristiano de C.
Antonelli, Alexandre
Meiri, Shai
author_sort Guedes, Thaís B.
collection PubMed
description MOTIVATION: We generated a novel database of Neotropical snakes (one of the world's richest herpetofauna) combining the most comprehensive, manually compiled distribution dataset with publicly available data. We assess, for the first time, the diversity patterns for all Neotropical snakes as well as sampling density and sampling biases. MAIN TYPES OF VARIABLES CONTAINED: We compiled three databases of species occurrences: a dataset downloaded from the Global Biodiversity Information Facility (GBIF), a verified dataset built through taxonomic work and specialized literature, and a combined dataset comprising a cleaned version of the GBIF dataset merged with the verified dataset. SPATIAL LOCATION AND GRAIN: Neotropics, Behrmann projection equivalent to 1° × 1°. TIME PERIOD: Specimens housed in museums during the last 150 years. MAJOR TAXA STUDIED: Squamata: Serpentes. SOFTWARE FORMAT: Geographical information system (GIS). RESULTS: The combined dataset provides the most comprehensive distribution database for Neotropical snakes to date. It contains 147,515 records for 886 species across 12 families, representing 74% of all species of snakes, spanning 27 countries in the Americas. Species richness and phylogenetic diversity show overall similar patterns. Amazonia is the least sampled Neotropical region, whereas most well‐sampled sites are located near large universities and scientific collections. We provide a list and updated maps of geographical distribution of all snake species surveyed. MAIN CONCLUSIONS: The biodiversity metrics of Neotropical snakes reflect patterns previously documented for other vertebrates, suggesting that similar factors may determine the diversity of both ectothermic and endothermic animals. We suggest conservation strategies for high‐diversity areas and sampling efforts be directed towards Amazonia and poorly known species.
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spelling pubmed-57655142018-02-01 Patterns, biases and prospects in the distribution and diversity of Neotropical snakes Guedes, Thaís B. Sawaya, Ricardo J. Zizka, Alexander Laffan, Shawn Faurby, Søren Pyron, R. Alexander Bérnils, Renato S. Jansen, Martin Passos, Paulo Prudente, Ana L. C. Cisneros‐Heredia, Diego F. Braz, Henrique B. Nogueira, Cristiano de C. Antonelli, Alexandre Meiri, Shai Glob Ecol Biogeogr Data Paper MOTIVATION: We generated a novel database of Neotropical snakes (one of the world's richest herpetofauna) combining the most comprehensive, manually compiled distribution dataset with publicly available data. We assess, for the first time, the diversity patterns for all Neotropical snakes as well as sampling density and sampling biases. MAIN TYPES OF VARIABLES CONTAINED: We compiled three databases of species occurrences: a dataset downloaded from the Global Biodiversity Information Facility (GBIF), a verified dataset built through taxonomic work and specialized literature, and a combined dataset comprising a cleaned version of the GBIF dataset merged with the verified dataset. SPATIAL LOCATION AND GRAIN: Neotropics, Behrmann projection equivalent to 1° × 1°. TIME PERIOD: Specimens housed in museums during the last 150 years. MAJOR TAXA STUDIED: Squamata: Serpentes. SOFTWARE FORMAT: Geographical information system (GIS). RESULTS: The combined dataset provides the most comprehensive distribution database for Neotropical snakes to date. It contains 147,515 records for 886 species across 12 families, representing 74% of all species of snakes, spanning 27 countries in the Americas. Species richness and phylogenetic diversity show overall similar patterns. Amazonia is the least sampled Neotropical region, whereas most well‐sampled sites are located near large universities and scientific collections. We provide a list and updated maps of geographical distribution of all snake species surveyed. MAIN CONCLUSIONS: The biodiversity metrics of Neotropical snakes reflect patterns previously documented for other vertebrates, suggesting that similar factors may determine the diversity of both ectothermic and endothermic animals. We suggest conservation strategies for high‐diversity areas and sampling efforts be directed towards Amazonia and poorly known species. John Wiley and Sons Inc. 2017-11-23 2018-01 /pmc/articles/PMC5765514/ /pubmed/29398972 http://dx.doi.org/10.1111/geb.12679 Text en © 2017 The Authors. Global Ecology and Biogeography Published by John Wiley & Sons Ltd This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Data Paper
Guedes, Thaís B.
Sawaya, Ricardo J.
Zizka, Alexander
Laffan, Shawn
Faurby, Søren
Pyron, R. Alexander
Bérnils, Renato S.
Jansen, Martin
Passos, Paulo
Prudente, Ana L. C.
Cisneros‐Heredia, Diego F.
Braz, Henrique B.
Nogueira, Cristiano de C.
Antonelli, Alexandre
Meiri, Shai
Patterns, biases and prospects in the distribution and diversity of Neotropical snakes
title Patterns, biases and prospects in the distribution and diversity of Neotropical snakes
title_full Patterns, biases and prospects in the distribution and diversity of Neotropical snakes
title_fullStr Patterns, biases and prospects in the distribution and diversity of Neotropical snakes
title_full_unstemmed Patterns, biases and prospects in the distribution and diversity of Neotropical snakes
title_short Patterns, biases and prospects in the distribution and diversity of Neotropical snakes
title_sort patterns, biases and prospects in the distribution and diversity of neotropical snakes
topic Data Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5765514/
https://www.ncbi.nlm.nih.gov/pubmed/29398972
http://dx.doi.org/10.1111/geb.12679
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