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Please use this identifier to cite or link to this item: http://hdl.handle.net/1843/52292
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dc.creatorUbirajara Oliveirapt_BR
dc.creatorJoão Aguiar Nogueira Batistapt_BR
dc.creatorJoão Paulo Peixoto Pena Barbosapt_BR
dc.creatorJoão Renato Stehmannpt_BR
dc.creatorJohn S. Ascherpt_BR
dc.creatorMarcelo F. Vasconcelospt_BR
dc.creatorPaulo de Marcopt_BR
dc.creatorPeter Löwenberg-netopt_BR
dc.creatorViviane Gianluppi Ferropt_BR
dc.creatorBritaldo Silveira Soares Filhopt_BR
dc.creatorAdalberto J. Santospt_BR
dc.creatorAdriano Pereira Pagliapt_BR
dc.creatorAntonio D. Brescovitpt_BR
dc.creatorClaudio J. B. de Carvalhopt_BR
dc.creatorDaniel Paiva Silvapt_BR
dc.creatorDaniella T. Rezendept_BR
dc.creatorFelipe Sá Fortes Leitept_BR
dc.date.accessioned2023-04-19T20:55:35Z-
dc.date.available2023-04-19T20:55:35Z-
dc.date.issued2019-04-23-
dc.citation.volume9pt_BR
dc.citation.issue1pt_BR
dc.citation.spage1pt_BR
dc.identifier.doihttps://doi.org/10.1038/s41598-019-42881-9pt_BR
dc.identifier.issn20452322pt_BR
dc.identifier.urihttp://hdl.handle.net/1843/52292-
dc.description.resumoTraditional 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.format.mimetypepdfpt_BR
dc.languageengpt_BR
dc.publisherUniversidade Federal de Minas Geraispt_BR
dc.publisher.countryBrasilpt_BR
dc.publisher.departmentICB - DEPARTAMENTO DE BOTÂNICApt_BR
dc.publisher.departmentICB - DEPARTAMENTO DE ZOOLOGIApt_BR
dc.publisher.departmentIGC - DEPARTAMENTO DE CARTOGRAFIApt_BR
dc.publisher.initialsUFMGpt_BR
dc.relation.ispartofScientific Reportspt_BR
dc.rightsAcesso Abertopt_BR
dc.subjectSpatially explicitpt_BR
dc.subjectSDMpt_BR
dc.subjectConservation prioritiespt_BR
dc.subject.otherEcologiapt_BR
dc.subject.otherBiodiversidade - Conservaçãopt_BR
dc.titleModelling highly biodiverse areas in Brazilpt_BR
dc.typeArtigo de Periódicopt_BR
dc.url.externahttps://www.nature.com/articles/s41598-019-42881-9#rightslinkpt_BR
dc.identifier.orcidhttps://orcid.org/0000-0003-4877-5414pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0003-4640-0942pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0002-9504-5441pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0002-7887-2461pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0002-3628-6405pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0001-5122-0247pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0002-6491-806Xpt_BR
dc.identifier.orcidhttps://orcid.org/0000-0002-7703-946Xpt_BR
dc.identifier.orcidhttps://orcid.org/0000-0002-0010-346Xpt_BR
dc.identifier.orcidhttps://orcid.org/0000-0001-9957-5506pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0002-1511-5324pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0002-4539-4336pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0003-4561-5634pt_BR
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