Sampling bias in multiscale ant diversity responses to landscape composition in a human-disturbed rainforest

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dc.contributor.authorAhuatzin, D. A.
dc.contributor.authorGonzález-Tokman, D.
dc.contributor.authorValenzuela-González, J. E.
dc.contributor.authorEscobar, F.
dc.contributor.authorRibeiro, M. C. [UNESP]
dc.contributor.authorAcosta, J. C.L.
dc.contributor.authorDáttilo, W.
dc.contributor.institutionInstituto de Ecología A.C.
dc.contributor.institutionCONACYT
dc.contributor.institutionInstituto de Ecología A.C
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.contributor.institutionUniversidad Veracruzana
dc.date.accessioned2022-04-28T19:47:35Z
dc.date.available2022-04-28T19:47:35Z
dc.date.issued2022-02-01
dc.description.abstractRecent studies have shown that several sources of variation can influence our ability to quantify biological responses to environmental variables, and that spatial scales are important in this process. For instance, sampling methods may differ in their efficiency or specificity, leading to different inferred relationships between community responses and landscape composition—i.e., forest cover (%), landscape heterogeneity, edge effects, and functional connectivity. Consequently, this can also influence the predictive power of the models when evaluating organisms as bioindicators of habitat loss and land use modification. Here, we evaluated how sampling methods (i.e., Winkler, pitfall, beating, and baits) influence our capacity to assess the scale of effect of two landscape composition metrics on ant diversity. We conducted ant sampling in 16 landscapes within a Mexican tropical rainforest and assessed the relationship between species richness and landscape composition metrics through buffers with 12 different spatial extents (from 50 to 1000 m). We found that the sampling method influenced the scale of effect when evaluating the relationships between ant species richness and forest cover and landscape heterogeneity. Combining all sampling methods, we found that the scales that best explained ant species richness were 700 m for forest cover and 900 m for landscape heterogeneity. Therefore, we highlight that our ability to detect ant-based diversity responses to environmental variables depends on the sampling method and spatial extent used in the study.en
dc.description.affiliationRed de Ecoetología Instituto de Ecología A.C., Veracruz
dc.description.affiliationCONACYT
dc.description.affiliationRed de Ecología Funcional Instituto de Ecología A.C, Veracruz
dc.description.affiliationSpatial Ecology and Conservation Lab (LEEC) Biodiversity Department Bioscience Institute Universidade Estadual Paulista, SP
dc.description.affiliationCentro de Investigaciones Tropicales Universidad Veracruzana, Veracruz
dc.description.affiliationUnespSpatial Ecology and Conservation Lab (LEEC) Biodiversity Department Bioscience Institute Universidade Estadual Paulista, SP
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.description.sponsorshipConsejo Nacional de Ciencia y Tecnología
dc.description.sponsorshipCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.description.sponsorshipIdFAPESP: 2013/50421-2
dc.description.sponsorshipIdCNPq: 312045/2013-1
dc.description.sponsorshipIdCNPq: 312292/2016-3
dc.description.sponsorshipIdConsejo Nacional de Ciencia y Tecnología: 584340
dc.description.sponsorshipIdCAPES: 88881.068425/2014-0
dc.format.extent47-58
dc.identifierhttp://dx.doi.org/10.1007/s00040-021-00844-2
dc.identifier.citationInsectes Sociaux, v. 69, n. 1, p. 47-58, 2022.
dc.identifier.doi10.1007/s00040-021-00844-2
dc.identifier.issn1420-9098
dc.identifier.issn0020-1812
dc.identifier.scopus2-s2.0-85119891286
dc.identifier.urihttp://hdl.handle.net/11449/222915
dc.language.isoeng
dc.relation.ispartofInsectes Sociaux
dc.sourceScopus
dc.subjectForest cover
dc.subjectFormicidae
dc.subjectLandscape heterogeneity
dc.subjectSampling method
dc.subjectSpatial extent
dc.titleSampling bias in multiscale ant diversity responses to landscape composition in a human-disturbed rainforesten
dc.typeArtigo
unesp.author.orcid0000-0003-0179-7528[4]
unesp.author.orcid0000-0002-4758-4379[7]

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