Patterns of Species Richness, Range Size, and Their Environmental Correlates for South American Anurans

dc.contributor.authorVasconcelos, Tiago S. [UNESP]
dc.contributor.authorSilva, Fernando R. da
dc.contributor.authorSantos, Tiago G. dos
dc.contributor.authorPrado, Vitor H. M.
dc.contributor.authorProvete, Diogo B.
dc.contributor.authorVasconcelos, TS
dc.contributor.authorDaSilva, FR
dc.contributor.authorDosSantos, TG
dc.contributor.authorPrado, VHM
dc.contributor.authorProvete, DB
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.contributor.institutionUniversidade Federal de São Carlos (UFSCar)
dc.contributor.institutionFed Univ Pampa UNIPAMPA
dc.contributor.institutionGoias State Univ UEG
dc.contributor.institutionUniversidade Federal de Mato Grosso do Sul (UFMS)
dc.date.accessioned2023-07-29T11:54:56Z
dc.date.available2023-07-29T11:54:56Z
dc.date.issued2019-01-01
dc.description.abstractSpecies richness and range size gradients have been correlated with environmental conditions at broad spatial scales, yet these effects are commonly context-dependent for different geographical regions. Here we assembled range maps of South American anurans and used spatial and nonspatial regressions to assess the potential influences of environmental variables on the gradients of species richness and range sizes. Additionally, we evaluated the consistency of these environmental drivers separately for temperate/subtropical and tropical regions of South America. We found that vegetation structure, temperature, and energy-water balance were the strongest predictors of species richness at the continental scale; temperature, productivity, and elevation were the best predictors for range size. Explanatory power of predictors shifted across different regions of the continent: in the tropical, vegetation structure was the strongest correlate of species richness, and in the temperate/subtropical, temperature and energy-water balance were the most important predictors. As for range size, elevation and temperature were the best predictors in the tropical region, whereas temperature seasonality was the strongest predictor in the temperate/subtropical region. Our results support the idea that different environmental filters can vary according to the latitude, reinforcing the relevance of evaluating patterns at multiple spatial scales to understand environmental drivers of biodiversity.en
dc.description.affiliationSao Paulo State Univ UNESP, Dept Biol Sci, Bauru, SP, Brazil
dc.description.affiliationFed Univ Sao Carlos UFScar, Sorocaba, SP, Brazil
dc.description.affiliationFed Univ Pampa UNIPAMPA, Sao Gabriel, RS, Brazil
dc.description.affiliationGoias State Univ UEG, Anapolis, Go, Brazil
dc.description.affiliationFed Univ Mato Grosso Sul UFMS, Campo Grande, MS, Brazil
dc.description.affiliationUnespSao Paulo State Univ UNESP, Dept Biol Sci, Bauru, SP, Brazil
dc.description.sponsorshipFundação de Amparo de Pesquisa do Estado de São Paulo (FAPESP)
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.description.sponsorshipUniversity Research and Scientific Production Support Program of the Goias State University (PROBIP/UEG)
dc.description.sponsorshipIdFAPESP: 2011/18510-0
dc.description.sponsorshipIdFAPESP: 2013/50714-0
dc.description.sponsorshipIdFAPESP: 2016/13949-7
dc.description.sponsorshipIdCNPq: 2037/2014-9
dc.description.sponsorshipIdCNPq: 431012/2016-4
dc.description.sponsorshipIdCNPq: 308687/2016-17
dc.description.sponsorshipIdCNPq: 114613/2018-4
dc.format.extent85-97
dc.identifierhttp://dx.doi.org/10.1007/978-3-030-26296-9_3
dc.identifier.citationBiogeographic Patterns of South American Anurans. Basel: Springer Nature Switzerland Ag, p. 85-97, 2019.
dc.identifier.doi10.1007/978-3-030-26296-9_3
dc.identifier.urihttp://hdl.handle.net/11449/245434
dc.identifier.wosWOS:000548834100005
dc.language.isoeng
dc.publisherSpringer
dc.relation.ispartofBiogeographic Patterns Of South American Anurans
dc.sourceWeb of Science
dc.subjectAmphibians
dc.subjectClimate variability
dc.subjectEnergy water
dc.subjectEnvironmental gradients
dc.subjectRange size
dc.subjectSpecies diversity
dc.subjectNon stationarity
dc.subjectAutoregressive models
dc.subjectHierarchical partitioning
dc.titlePatterns of Species Richness, Range Size, and Their Environmental Correlates for South American Anuransen
dc.typeArtigo
dcterms.licensehttp://www.springer.com/open+access/authors+rights?SGWID=0-176704-12-683201-0
dcterms.rightsHolderSpringer
unesp.departmentCiências Biológicas - FCpt

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