2019
DOI: 10.1590/1676-0611-bn-2018-0541
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Abstract: Multimetric Indices (MMIs) have been widely applied for ecological assessment in freshwater ecosystems. Most MMIs face difficulties when scaling up from small spatial scales because larger scales usually encompass great environmental variability. Covariance of anthropogenic pressures with natural environmental gradients can be a confounding factor in assessing biologic responses to anthropogenic pressures. This study presents the development and validation of a predictive multimetric index to assess the ecolog… Show more

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Cited by 7 publications
(8 citation statements)
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“…The inadequacies of physicochemical monitoring alone have necessitated the complementary use of biological monitoring (i.e., biomonitoring) tools and approaches (Arimoro, Ikomi, Nwadukwe, Eruotor, & Edegbene, ; Bonada et al, ; Serra, Graca, Doledec, & Feio, ). Biomonitoring tools/approaches widely used include single biotic indices (e.g., South African Scoring System version 5, Dickens & Graham, ) functional feeding group (FFG; e.g., Akamagwuna, Mensah, Nnadozie, & Oghenekaro, ; Baptista et al, ; Lakew & Moog, ; Ntislidou, Lazaridou, Tsiaoussi, & Bobori, ), multivariate approaches (e.g., Chowdhury, Gallardo, & Aldridge, ; Gieswein et al, ; Oliveira, Mugnai, Pereira, Souza, & Baptista, ), and multimetric indices (e.g., Bonada et al, ; Edegbene et al, ; Mereta et al, ; Monaghan & Soares, ). Of these approaches, the multimetric indices have been shown to perform extremely well particularly because they integrate information and data from multiple dimension of aquatic biota and the ecosystem as a whole (Bonada et al, ).…”
Section: Introductionmentioning
confidence: 99%
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“…The inadequacies of physicochemical monitoring alone have necessitated the complementary use of biological monitoring (i.e., biomonitoring) tools and approaches (Arimoro, Ikomi, Nwadukwe, Eruotor, & Edegbene, ; Bonada et al, ; Serra, Graca, Doledec, & Feio, ). Biomonitoring tools/approaches widely used include single biotic indices (e.g., South African Scoring System version 5, Dickens & Graham, ) functional feeding group (FFG; e.g., Akamagwuna, Mensah, Nnadozie, & Oghenekaro, ; Baptista et al, ; Lakew & Moog, ; Ntislidou, Lazaridou, Tsiaoussi, & Bobori, ), multivariate approaches (e.g., Chowdhury, Gallardo, & Aldridge, ; Gieswein et al, ; Oliveira, Mugnai, Pereira, Souza, & Baptista, ), and multimetric indices (e.g., Bonada et al, ; Edegbene et al, ; Mereta et al, ; Monaghan & Soares, ). Of these approaches, the multimetric indices have been shown to perform extremely well particularly because they integrate information and data from multiple dimension of aquatic biota and the ecosystem as a whole (Bonada et al, ).…”
Section: Introductionmentioning
confidence: 99%
“…African Scoring System version 5, Dickens & Graham, 2002) functional feeding group (FFG; e.g., Akamagwuna, Mensah, Nnadozie, & Oghenekaro, 2019;Baptista et al, 2013;Lakew & Moog, 2015;Ntislidou, Lazaridou, Tsiaoussi, & Bobori, 2018), multivariate approaches (e.g., Chowdhury, Gallardo, & Aldridge, 2016;Gieswein et al, 2019;Oliveira, Mugnai, Pereira, Souza, & Baptista, 2019), and multimetric indices (e.g., Bonada et al, 2006;Edegbene et al, 2019;Mereta et al, 2013;Monaghan & Soares, 2012). Of these approaches, the multimetric indices have been shown to perform extremely well particularly because they integrate information and data from multiple dimension of aquatic biota and the ecosystem as a whole (Bonada et al, 2006).…”
mentioning
confidence: 99%
“…The biological metrics used in this study present similarities with the metrics used to develop multimetric indexes around the world [20,21,36,[59][60][61][62]. We found that 28 of the 42 metrics tested responded significantly to land use disturbances and therefore can be potentially used as bioindicators.…”
Section: Discussionmentioning
confidence: 67%
“…We considered 42 candidate metrics generally used in studies of macroinvertebrate responses to anthropogenic pressures in Mexico and elsewhere ( [20,21,36,[59][60][61][62], see Table 1). These metrics represented a range of structural and functional macroinvertebrate community characteristics, including diversity, species composition, and trophic structure.…”
Section: Macroinvertebrate Sampling Taxonomic Identification and Bimentioning
confidence: 99%
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