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

dc.creatorOliveira, Ubirajara
dc.creatorPaglia, Adriano Pereira
dc.creatorBrescovit, Antonio Domingos
dc.creatorCarvalho, Claudio Jose Barros de
dc.creatorSilva, Daniel de Paiva
dc.creatorRezende, Daniella T.
dc.creatorLeite, Felipe Sá Fortes
dc.creatorBatista, João Aguiar Nogueira
dc.creatorBarbosa, João Paulo Peixoto Pena
dc.creatorStehmann, João Renato
dc.creatorAscher, John S.
dc.creatorVasconcelos, Marcelo Ferreira de
dc.creatorMarco Júnior, Paulo De
dc.creatorLeowenberg Neto, Peter
dc.creatorDias, Priscila Guimarães
dc.creatorFerro, Viviane Gianluppi
dc.creatorSantos, Adalberto José dos
dc.date.accessioned2023-02-15T12:31:15Z
dc.date.available2023-02-15T12:31:15Z
dc.date.issued2016
dc.description.abstractAim The knowledge of biodiversity facets such as species composition, distribution and ecological niche is fundamental for the construction of biogeographic hypotheses and conservation strategies. However, the knowledge on these facets is 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 collection effort on Linnean, Wallacean and Hutchinsonian shortfalls and diversity measures as species richness, endemism and beta-diversity. Location Brazil. Methods We have built a database with over 1.5 million records of arthropods, vertebrates and angiosperms of Brazil, based on specimens deposited in scientific collections and on the taxonomic literature. We used null models to test the collection bias regarding the proximity to access routes. We also tested the influence of sampling effort on diversity measures by regression models. To investigate the Wallacean shortfall, we modelled the geographic distribution of over 4000 species and compared their observed distribution with models. To quantify the Hutchinsonian shortfall, we used environmental Euclidean distance of the records to identify regions with poorly sampled environmental conditions. To estimate the Linnean shortfall, we measured the similarity of species composition between regions close to and far from access routes. Results We demonstrated that despite the differences in sampling effort, the strong collection bias affects all taxonomic groups equally, generating a pattern of spatially biased sampling effort. This collection pattern contributes greatly to the biodiversity knowledge shortfalls, which directly affects the knowledge on the distribution patterns of diversity. Main conclusions The knowledge on species richness, species composition and endemism in the Brazilian biodiversity is strongly biased spatially. Despite differences in sampling effort for each taxonomic group, roadside bias affected them equally. Species composition similarity decreased with the distance from access routes, suggesting collection surveys at sites far from roads could increase the probability of sampling new geographic records or new species.pt_BR
dc.identifier.citationOLIVEIRA, Ubirajara et al. The strong influence of collection bias on biodiversity knowledge shortfalls of brazilian terrestrial biodiversity. Diversity and Distributions, Oxford, v. 22, n. 12, p. 1232-1244, 2016. DOI: 10.1111/ddi.12489. Disponível em: https://onlinelibrary-wiley.ez49.periodicos.capes.gov.br/doi/10.1111/ddi.12489. Acesso em: 10 fev. 2023.pt_BR
dc.identifier.doihttps://doi-org.ez49.periodicos.capes.gov.br/10.1111/ddi.12489
dc.identifier.issn1366-9516
dc.identifier.urihttp://repositorio.bc.ufg.br/handle/ri/21919
dc.language.isoengpt_BR
dc.publisher.countryGra-bretanhapt_BR
dc.publisher.departmentInstituto de Ciências Biológicas - ICB (RG)pt_BR
dc.rightsAcesso Abertopt_BR
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectBeta-diversitypt_BR
dc.subjectWallacean shortfallpt_BR
dc.subjectEndemismpt_BR
dc.subjectHutchinsonian shortfallpt_BR
dc.subjectLinnean shortfallpt_BR
dc.subjectSpecies distribution modelspt_BR
dc.subjectSpecies richnesspt_BR
dc.titleThe strong influence of collection bias on biodiversity knowledge shortfalls of Brazilian terrestrial biodiversitypt_BR
dc.typeArtigopt_BR

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