Patterns, biases and prospects in the distribution and diversity of Neotropical snakes
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , , , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNIFESP |
Texto Completo: | http://dx.doi.org/10.1111/geb.12679 https://repositorio.unifesp.br/handle/11600/53952 |
Resumo: | 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 degrees x 1 degrees. 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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Patterns, biases and prospects in the distribution and diversity of Neotropical snakesconservationdata availabilityGBIFgeographical distributionphylogenetic diversitysampling gapsSerpentesspecies richnessMotivation: 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 degrees x 1 degrees. 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.Univ Gothenburg, Dept Biol & Environm Sci, Box 461, SE-40530 Gothenburg, SwedenGothenburg Global Biodivers Ctr, Gothenburg, SwedenUniv Fed Sao Paulo, UNIFESP, Dept Ecol & Biol Evolut, Diadema, SP, BrazilMZUSP, Lab Herpetol, Sao Paulo, SP, BrazilUniv New South Wales, Sch Biol Earth & Environm Sci, Ctr Ecosyst Sci, Sydney, NSW, Australia[Pyron, R. Alexander] George Washington Univ, Dept Biol Sci, Washington, DC 20052 USAUniv Fed Espirito Santo, Campus Litoraneo, Sao Mateus, ES, BrazilSenckenberg Res Inst, Sect Herpetol, Frankfurt, GermanyNatl Museum, Frankfurt, GermanyUniv Fed Rio de Janeiro, Museu Nacl MNRJ, Dept Vertebrados, Rio De Janeiro, RJ, BrazilMuseu Paraense Emilio Goeldi, Lab Herpetol, Dept Zool, Belem, Para, BrazilUniv San Francisco Quito, Colegio Ciencias Biol & Ambientales COCIBA, Lab Zool Terrestre, Quito, EcuadorKings Coll London, Dept Geog, London, EnglandNat Hist Museum UK, London, England[Braz, Henrique B.] Univ Sydney, Fac Sci, Sch Life & Environm Sci, Sydney, NSW, AustraliaUniv Sao Paulo, Dept Ecol, Sao Paulo, SP, BrazilGothenburg Bot Garden, Gothenburg, SwedenUniv Fed Sao Paulo, UNIFESP, Dept Ecol & Biol Evolut, Diadema, SP, BrazilWeb of ScienceFAPESP [2013/04170-8, 2014/18837-7, 2014/23677-9, 2009/54478-3, 2015/20215-7]CNPq [304929/2015-9, 8256995713198058, 482086/2012-2, 306227/2015-0, 30.5475/2014-2, 235248/2014-2]US NSF [DBI-0905765, DEB-1441719]FAPERJ [E-26/110.434/2012, E-26/111.636/2012]FAPESPA [2016/111449]PROTAX [440413/2015-0]Swedish Research Council [B0569601]European Research Council [331024]Swedish Foundation for Strategic ResearchWallenberg Academy FellowshipBIOTA/FAPESP [2011/50206-9]FAPESP [2013/04170-8, 2014/18837-7, 2014/23677-9, 2009/54478-3, 2015/20215-7]CNPq [304929/2015-9, 8256995713198058, 482086/2012-2, 306227/2015-0, 30.5475/2014-2,Wiley2020-07-02T18:52:13Z2020-07-02T18:52:13Z2018info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersion14-21application/pdfhttp://dx.doi.org/10.1111/geb.12679Global Ecology And Biogeography. Hoboken, v. 27, n. 1, p. 14-21, 2018.10.1111/geb.12679WOS000418125800003.pdf1466-822Xhttps://repositorio.unifesp.br/handle/11600/53952WOS:000418125800003engGlobal Ecology And BiogeographyHobokeninfo:eu-repo/semantics/openAccessGuedes, Thais B. [UNIFESP]Sawaya, Ricardo J. [UNIFESP]Zizka, AlexanderLaffan, ShawnFaurby, SorenPyron, R. AlexanderBernils, Renato S.Jansen, MartinPassos, PauloPrudente, Ana L. C.Cisneros-Heredia, Diego F.Braz, Henrique B.Nogueira, Cristiano de C.Antonelli, Alexandrereponame:Repositório Institucional da UNIFESPinstname:Universidade Federal de São Paulo (UNIFESP)instacron:UNIFESP2024-08-03T05:09:54Zoai:repositorio.unifesp.br/:11600/53952Repositório InstitucionalPUBhttp://www.repositorio.unifesp.br/oai/requestbiblioteca.csp@unifesp.bropendoar:34652024-08-03T05:09:54Repositório Institucional da UNIFESP - Universidade Federal de São Paulo (UNIFESP)false |
dc.title.none.fl_str_mv |
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 |
spellingShingle |
Patterns, biases and prospects in the distribution and diversity of Neotropical snakes Guedes, Thais B. [UNIFESP] conservation data availability GBIF geographical distribution phylogenetic diversity sampling gaps Serpentes species richness |
title_short |
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_sort |
Patterns, biases and prospects in the distribution and diversity of Neotropical snakes |
author |
Guedes, Thais B. [UNIFESP] |
author_facet |
Guedes, Thais B. [UNIFESP] Sawaya, Ricardo J. [UNIFESP] Zizka, Alexander Laffan, Shawn Faurby, Soren Pyron, R. Alexander Bernils, Renato S. Jansen, Martin Passos, Paulo Prudente, Ana L. C. Cisneros-Heredia, Diego F. Braz, Henrique B. Nogueira, Cristiano de C. Antonelli, Alexandre |
author_role |
author |
author2 |
Sawaya, Ricardo J. [UNIFESP] Zizka, Alexander Laffan, Shawn Faurby, Soren Pyron, R. Alexander Bernils, Renato S. Jansen, Martin Passos, Paulo Prudente, Ana L. C. Cisneros-Heredia, Diego F. Braz, Henrique B. Nogueira, Cristiano de C. Antonelli, Alexandre |
author2_role |
author author author author author author author author author author author author author |
dc.contributor.author.fl_str_mv |
Guedes, Thais B. [UNIFESP] Sawaya, Ricardo J. [UNIFESP] Zizka, Alexander Laffan, Shawn Faurby, Soren Pyron, R. Alexander Bernils, Renato S. Jansen, Martin Passos, Paulo Prudente, Ana L. C. Cisneros-Heredia, Diego F. Braz, Henrique B. Nogueira, Cristiano de C. Antonelli, Alexandre |
dc.subject.por.fl_str_mv |
conservation data availability GBIF geographical distribution phylogenetic diversity sampling gaps Serpentes species richness |
topic |
conservation data availability GBIF geographical distribution phylogenetic diversity sampling gaps Serpentes species richness |
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 degrees x 1 degrees. 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. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018 2020-07-02T18:52:13Z 2020-07-02T18:52:13Z |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1111/geb.12679 Global Ecology And Biogeography. Hoboken, v. 27, n. 1, p. 14-21, 2018. 10.1111/geb.12679 WOS000418125800003.pdf 1466-822X https://repositorio.unifesp.br/handle/11600/53952 WOS:000418125800003 |
url |
http://dx.doi.org/10.1111/geb.12679 https://repositorio.unifesp.br/handle/11600/53952 |
identifier_str_mv |
Global Ecology And Biogeography. Hoboken, v. 27, n. 1, p. 14-21, 2018. 10.1111/geb.12679 WOS000418125800003.pdf 1466-822X WOS:000418125800003 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Global Ecology And Biogeography |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
14-21 application/pdf |
dc.coverage.none.fl_str_mv |
Hoboken |
dc.publisher.none.fl_str_mv |
Wiley |
publisher.none.fl_str_mv |
Wiley |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da UNIFESP instname:Universidade Federal de São Paulo (UNIFESP) instacron:UNIFESP |
instname_str |
Universidade Federal de São Paulo (UNIFESP) |
instacron_str |
UNIFESP |
institution |
UNIFESP |
reponame_str |
Repositório Institucional da UNIFESP |
collection |
Repositório Institucional da UNIFESP |
repository.name.fl_str_mv |
Repositório Institucional da UNIFESP - Universidade Federal de São Paulo (UNIFESP) |
repository.mail.fl_str_mv |
biblioteca.csp@unifesp.br |
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1814268407189602304 |