Factors affecting the transferability of bioindicators based on stream fish assemblages

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dc.contributor.authorSousa, Victoria
dc.contributor.authorDala-Corte, Renato Bolson
dc.contributor.authorBenedito, Evanilde
dc.contributor.authorBrejão, Gabriel Lourenço [UNESP]
dc.contributor.authorCarvalho, Fernando Rogério
dc.contributor.authorCasatti, Lilian [UNESP]
dc.contributor.authorCetra, Mauricio
dc.contributor.authorPompeu, Paulo Santos
dc.contributor.authorSúarez, Yzel Rondon
dc.contributor.authorTejerina-Garro, Francisco Leonardo
dc.contributor.authorBorges, Pedro Paulino
dc.contributor.authorTeresa, Fabrício Barreto
dc.contributor.institutionUniversidade Federal de Goiás (UFG)
dc.contributor.institutionUniversidade Estadual de Goiás
dc.contributor.institutionUniversidade Estadual de Maringá (UEM)
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.contributor.institutionUniversidade Federal de Mato Grosso do Sul (UFMS)
dc.contributor.institutionUniversidade Federal de São Carlos (UFSCar)
dc.contributor.institutionUniversidade Federal de Lavras (UFLA)
dc.contributor.institutionUniversidade Estadual do Mato Grosso do Sul
dc.contributor.institutionPontifícia Universidade Católica de Goiás
dc.contributor.institutionUniEVANGÉLICA
dc.date.accessioned2023-07-29T16:11:12Z
dc.date.available2023-07-29T16:11:12Z
dc.date.issued2023-07-10
dc.description.abstractThe development of multimetric indices (MMIs) to measure the biotic condition of aquatic habitats is based on metrics derived from biological assemblages. Considering fish assemblages, the inconsistencies in metrics responses outside of the places where they were developed limit MMI transferability and applicability to other locations, requiring local calibration. The factors behind the low transferability of these MMIs are still poorly understood. We investigated how environmental dissimilarity and spatial distance influence the transferability of metrics generated from local stream fish assemblages to other regions. We also tested whether functional and taxonomic metrics respond differently to the spatial distance. We used data from 239 fish assemblages from streams distributed across a Brazilian, the upper Parana basin and characterized each site according to the level of anthropogenic disturbance at the landscape scale using an Anthropogenic Pressure Index (API). We divided the upper Parana basin into sub-basins and used two of them to create template response models of the metrics in relation to the API. We used these response models to predict the responses outside the template sub-basins. Our response variable representing a metric of transferability was the absolute difference between metric's predicted and observed value for each site (prediction error). We thus modeled the prediction error in relation to the predictor variables that were i) the environmental dissimilarity between each site with the average of the sites from template sub-basins (climatic, topographic and soil type variables) and ii) the spatial distance (overland and watercourse distance) between each site and the center of the template sub-basin. We found that errors in metric predictions were associated with both environmental dissimilarity and spatial distance. Furthermore, functional and taxonomic metrics responded equally to spatial distance. These results indicate the need for local calibration of metrics when developing MMIs, especially if the protocols already available come from distant and environmentally dissimilar places.en
dc.description.affiliationPrograma de Pós Graduação em Ecologia e Evolução Universidade Federal de Goiás
dc.description.affiliationLaboratório de Biogeografia e Ecologia Aquática (Bioecol) Universidade Estadual de Goiás, Goiás
dc.description.affiliationDepartamento de Ecologia Universidade Federal de Goiás
dc.description.affiliationUniversidade Estadual de Maringá
dc.description.affiliationLaboratório de Ictiologia UNESP, São Paulo
dc.description.affiliationLaboratório de Ictiologia Setor de Zoologia Instituto de Biociências Universidade Federal de Mato Grosso do Sul, Mato Grosso do Sul
dc.description.affiliationDepartamento de Ciências Ambientais (DCA-So) Universidade Federal de São Carlos
dc.description.affiliationDepartamento de Ecologia e Conservação Universidade Federal de Lavras, Minas Gerais
dc.description.affiliationCentro de Estudos em Recursos Naturais (CERNA) Universidade Estadual do Mato Grosso do Sul, Mato Grosso do Sul
dc.description.affiliationCentro de Biologia Aquática Pontifícia Universidade Católica de Goiás, Goiás
dc.description.affiliationLaboratório de Biodiversidade-PPSTMA UniEVANGÉLICA, Goiás
dc.description.affiliationUnespLaboratório de Ictiologia UNESP, São Paulo
dc.description.sponsorshipFundação de Apoio ao Desenvolvimento do Ensino, Ciência e Tecnologia do Estado de Mato Grosso do Sul
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.description.sponsorshipIdCNPq: 431094/2016-0
dc.identifierhttp://dx.doi.org/10.1016/j.scitotenv.2023.163417
dc.identifier.citationScience of the Total Environment, v. 881.
dc.identifier.doi10.1016/j.scitotenv.2023.163417
dc.identifier.issn1879-1026
dc.identifier.issn0048-9697
dc.identifier.scopus2-s2.0-85152615337
dc.identifier.urihttp://hdl.handle.net/11449/249862
dc.language.isoeng
dc.relation.ispartofScience of the Total Environment
dc.sourceScopus
dc.subjectBiomonitoring
dc.subjectEnvironmental assessment
dc.subjectFish assemblages
dc.subjectIndex of biotic integrity
dc.subjectUpper Paraná River Basin
dc.titleFactors affecting the transferability of bioindicators based on stream fish assemblagesen
dc.typeArtigo

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