The strong influence of collection bias on biodiversity knowledge shortfalls of brazilian terrestrial biodiversity

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dc.creatorFelipe Sá Fortes Leite
dc.creatorUbirajara Oliveira
dc.creatorJoão Renato Stehmann
dc.creatorJohn S. Ascher
dc.creatorMarcelo Ferreira de Vasconcelos
dc.creatorPaulo de Marco Júnior
dc.creatorPeter Löwenberg-Neto
dc.creatorPriscila Guimarães Dias
dc.creatorViviane Gianluppi Ferro
dc.creatorAdalberto J. Santos
dc.creatorAdriano Pereira Paglia
dc.creatorAntonio D. Brescovit
dc.creatorClaudio J. B. de Carvalho
dc.creatorDaniel Paiva Silva
dc.creatorDaniella T. Rezende
dc.creatorJoão Aguiar Nogueira Batista
dc.creatorJoão Paulo Peixoto Pena Barbosa
dc.date.accessioned2022-02-25T19:12:49Z
dc.date.accessioned2025-09-09T01:32:54Z
dc.date.available2022-02-25T19:12:49Z
dc.date.issued2016-09-30
dc.format.mimetypepdf
dc.identifier.doihttps://doi.org/10.1111/ddi.12489
dc.identifier.issn1472-4642
dc.identifier.urihttps://hdl.handle.net/1843/39759
dc.languagepor
dc.publisherUniversidade Federal de Minas Gerais
dc.relation.ispartofDiversity and distributions
dc.rightsAcesso Aberto
dc.subjectBiodiversidade
dc.subjectBrasil
dc.subject.otherBeta-diversity
dc.subject.otherEndemism
dc.subject.otherHutchinsonian shortfall
dc.subject.otherLinnean shortfall
dc.subject.otherSpecies distribution models
dc.subject.otherSpecies richness
dc.subject.otherWallacean shortfall
dc.titleThe strong influence of collection bias on biodiversity knowledge shortfalls of brazilian terrestrial biodiversity
dc.typeArtigo de periódico
local.citation.epage1244
local.citation.issue12
local.citation.spage1232
local.citation.volume22
local.description.resumoThe knowledge of biodiversity facets such as species composition, distribu-tion and ecological niche is fundamental for the construction of biogeographichypotheses and conservation strategies. However, the knowledge on these facetsis affected by major shortfalls, which are even more pronounced in the tropics.This study aims to evaluate the effect of sampling bias and variation in collec-tion effort on Linnean, Wallacean and Hutchinsonian shortfalls and diversitymeasures as species richness, endemism and beta-diversity. We have built a database with over 1.5 million records of arthro-pods, vertebrates and angiosperms of Brazil, based on specimens deposited inscientific collections and on the taxonomic literature. We used null models totest the collection bias regarding the proximity to access routes. We also testedthe influence of sampling effort on diversity measures by regression models. Toinvestigate the Wallacean shortfall, we modelled the geographic distribution ofover 4000 species and compared their observed distribution with models. Toquantify the Hutchinsonian shortfall, we used environmental Euclidean distanceof the records to identify regions with poorly sampled environmental condi-tions. To estimate the Linnean shortfall, we measured the similarity of speciescomposition between regions close to and far from access routes. We demonstrated that despite the differences in sampling effort, thestrong collection bias affects all taxonomic groups equally, generating a patternof spatially biased sampling effort. This collection pattern contributes greatly tothe biodiversity knowledge shortfalls, which directly affects the knowledge onthe distribution patterns of diversity. The knowledge on species richness, species composition andendemism in the Brazilian biodiversity is strongly biased spatially. Despite dif-ferences in sampling effort for each taxonomic group, roadside bias affectedthem equally. Species composition similarity decreased with the distance fromaccess routes, suggesting collection surveys at sites far from roads couldincrease the probability of sampling new geographic records or new species.
local.publisher.countryBrasil
local.publisher.departmentICB - DEPARTAMENTO DE BOTÂNICA
local.publisher.departmentICB - DEPARTAMENTO DE ZOOLOGIA
local.publisher.initialsUFMG
local.url.externahttps://onlinelibrary.wiley.com/doi/full/10.1111/ddi.12489

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