Modelling highly biodiverse areas in Brazil

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dc.contributorLab. Coleções Zoológicaspt_BR
dc.contributor.authorOliveira, Ubirajarapt_BR
dc.contributor.authorSoares-Filho, Britaldo Silveirapt_BR
dc.contributor.authorSantos, Adalberto J.pt_BR
dc.contributor.authorPaglia, Adriano Pereirapt_BR
dc.contributor.authorBrescovit, Antonio Domingospt_BR
dc.contributor.authorCarvalho, Claudio J. B. dept_BR
dc.contributor.authorSilva, Daniel Paivapt_BR
dc.contributor.authorRezende, Daniella T.pt_BR
dc.contributor.authorLeite, Felipe Sá Fortespt_BR
dc.contributor.authorBatista, João Aguiar Nogueirapt_BR
dc.contributor.authorPena-Barbosa, João Paulo Peixotopt_BR
dc.contributor.authorStehmann, João Renatopt_BR
dc.contributor.authorVasconcelos, Marcelo F.pt_BR
dc.contributor.authorDe Marco, Paulopt_BR
dc.contributor.authorLöwenberg-Neto, Peterpt_BR
dc.contributor.authorFerro, Viviane Gianluppipt_BR
dc.date.accessioned2020-07-09T21:23:49Z-
dc.date.available2020-07-09T21:23:49Z-
dc.date.issued2019pt_BR
dc.identifier.citationOliveira U, Soares-Filho BS, Santos AJ., Paglia AP, Brescovit AD, Carvalho CJ.B., et al. Modelling highly biodiverse areas in Brazil. Sci Rep. 2019 Abr;9:6355. doi:10.1038/s41598-019-42881-9.pt_BR
dc.identifier.urihttps://repositorio.butantan.gov.br/handle/butantan/2736-
dc.description.abstractTraditional conservation techniques for mapping highly biodiverse areas assume there to be satisfactory knowledge about the geographic distribution of biodiversity. There are, however, large gaps in biological sampling and hence knowledge shortfalls. This problem is even more pronounced in the tropics. Indeed, the use of only a few taxonomic groups or environmental surrogates for modelling biodiversity is not viable in mega-diverse countries, such as Brazil. To overcome these limitations, we developed a comprehensive spatial model that includes phylogenetic information and other several biodiversity dimensions aimed at mapping areas with high relevance for biodiversity conservation. Our model applies a genetic algorithm tool for identifying the smallest possible region within a unique biota that contains the most number of species and phylogenetic diversity, as well as the highest endemicity and phylogenetic endemism. The model successfully pinpoints small highly biodiverse areas alongside regions with knowledge shortfalls where further sampling should be conducted. Our results suggest that conservation strategies should consider several taxonomic groups, the multiple dimensions of biodiversity, and associated sampling uncertainties.pt_BR
dc.description.sponsorshipClimate and Land Use Alliancept_BR
dc.description.sponsorship(CNPq) Conselho Nacional de Desenvolvimento Científico e Tecnológicopt_BR
dc.description.sponsorship(FAPEMIG) Fundação de Amparo à Pesquisa do Estado de Minas Geraispt_BR
dc.description.sponsorshipAlexander von Humboldt Foundationpt_BR
dc.description.sponsorship(FAPESP) Fundação de Amparo à Pesquisa do Estado de São Paulopt_BR
dc.format.extent6355pt_BR
dc.language.isoEnglishpt_BR
dc.relation.ispartofScientific Reportspt_BR
dc.rightsOpen accesspt_BR
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/pt_BR
dc.titleModelling highly biodiverse areas in Brazilpt_BR
dc.typeArticlept_BR
dc.rights.licenseCC BYpt_BR
dc.identifier.doi10.1038/s41598-019-42881-9pt_BR
dc.identifier.urlhttps://doi.org/10.1038/s41598-019-42881-9pt_BR
dc.contributor.external(UFMG) Universidade Federal de Minas Geraispt_BR
dc.contributor.external(UFPR) Universidade Federal do Paranápt_BR
dc.contributor.external(IF Goiano) Instituto Federal Goianopt_BR
dc.contributor.external(MACN) Museo Argentino de Ciencias Naturales Bernardino Rivadaviapt_BR
dc.contributor.external(UFV) Universidade Federal de Viçosapt_BR
dc.contributor.external(NUS) National University of Singaporept_BR
dc.contributor.externalInstituto Prístinopt_BR
dc.contributor.external(UFG) Universidade Federal de Goiáspt_BR
dc.contributor.external(UNILA) Universidade Federal da Integração Latino-Americanapt_BR
dc.identifier.citationvolume9pt_BR
dc.subject.keywordbiodiversitypt_BR
dc.subject.keywordConservation biologypt_BR
dc.relation.ispartofabbreviatedSci Reppt_BR
dc.identifier.citationabntv. 9, 6355, abr. 2019pt_BR
dc.identifier.citationvancouver2019 Abr;9:6355pt_BR
dc.contributor.butantanBrescovit, Antonio Domingos|:Pesquisador|:Laboratório de Coleções Zoológicas|:pt_BR
dc.contributor.butantanPena-Barbosa, João Paulo Peixoto|:Aluno|:Laboratório de Coleções Zoológicas|:pt_BR
dc.sponsorship.butantanAlexander von Humboldt Foundation¦¦pt_BR
dc.sponsorship.butantanClimate and Land Use Alliance¦¦pt_BR
dc.sponsorship.butantanConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)¦¦437209/2016-4pt_BR
dc.sponsorship.butantanConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)¦¦475179/2012-9pt_BR
dc.sponsorship.butantanConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)¦¦407288/2013-9pt_BR
dc.sponsorship.butantanConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)¦¦306222/2015-9pt_BR
dc.sponsorship.butantanConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)¦¦304713/2011-2pt_BR
dc.sponsorship.butantanConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)¦¦303028/2014-9pt_BR
dc.sponsorship.butantanFundação de Amparo à Pesquisa do Estado de Minas Gerais (FAPEMIG)¦¦pt_BR
dc.sponsorship.butantanFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)¦¦pt_BR
dc.identifier.bvsccBR78.1pt_BR
dc.identifier.bvsdbIBProdpt_BR
dc.description.dbindexedYespt_BR
item.languageiso639-1English-
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