Cost-effective alternatives to facilitate biomonitoring and bioassessment of neotropical streams
A reliable response of bioindicators to environmental variation is a cornerstone for effective bioassessment and biomonitoring. Fish and aquatic macroinvertebrates are widely used as bioindicators of different human impacts in freshwater ecosystems, but the cost-effectiveness of their usage can be i...
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| Published in | The Science of the total environment Vol. 965; p. 178654 |
|---|---|
| Main Authors | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Netherlands
Elsevier B.V
15.02.2025
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| Online Access | Get full text |
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| Abstract | A reliable response of bioindicators to environmental variation is a cornerstone for effective bioassessment and biomonitoring. Fish and aquatic macroinvertebrates are widely used as bioindicators of different human impacts in freshwater ecosystems, but the cost-effectiveness of their usage can be improved through the use of surrogates. We investigated congruence patterns between using different taxonomic and numeric resolutions for aquatic macroinvertebrates and fish to assess community-environment relationships. We also tested whether dataset characteristics (e.g., area sampled, species pool) could explain the variation in the effectiveness of using different taxonomic and numerical resolutions. We used a Brazilian nationwide database encompassing multiple datasets with a gradient of riparian deforestation each. Our findings suggest that families and genera can effectively represent macroinvertebrate genera and fish species, respectively, when using community matrices for assessing community-environment relationships, with an acceptable loss of information. EPT (Ephemeroptera, Plecoptera, and Trichoptera) and Characiformes or Siluriformes may be used as a surrogate, in some cases, for the entire assemblages of macroinvertebrates and fish, respectively, but their use may result in higher loss of information. Presence-absence data also presented a minimal loss of information compared to abundance data, for both macroinvertebrates and fish. The variation in congruence levels among macroinvertebrate datasets was less predicted by dataset characteristics than fish. Across distinct resolutions, on average, 10 % and 19 % of the variation in community composition of macroinvertebrates and fish, respectively, was explained by broad-scale environmental variables, and the effect size was negatively affected by the dataset's sample size and spatial extent for fish. Whereas identification at species (fish) and genus (macroinvertebrates) level and quantification of all individuals still provide the best scenario, we provide evidence that coarser taxonomical resolution and presence-absence data can be used as cost-effective alternatives to facilitate biomonitoring and bioassessment of freshwaters in the Neotropical region impacted by deforestation.
[Display omitted]
•We assessed congruence patterns of macroinvertebrates and fish and their drivers•We evaluate community-environmental relationships and their drivers•Low-resolution data serve as surrogates of high-resolution data•Considering cost-effectiveness, we recommend the use of coarser taxonomic resolution•The shortcuts proposed here support large-scale biomonitoring programs in Brazil. |
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| AbstractList | A reliable response of bioindicators to environmental variation is a cornerstone for effective bioassessment and biomonitoring. Fish and aquatic macroinvertebrates are widely used as bioindicators of different human impacts in freshwater ecosystems, but the cost-effectiveness of their usage can be improved through the use of surrogates. We investigated congruence patterns between using different taxonomic and numeric resolutions for aquatic macroinvertebrates and fish to assess community-environment relationships. We also tested whether dataset characteristics (e.g., area sampled, species pool) could explain the variation in the effectiveness of using different taxonomic and numerical resolutions. We used a Brazilian nationwide database encompassing multiple datasets with a gradient of riparian deforestation each. Our findings suggest that families and genera can effectively represent macroinvertebrate genera and fish species, respectively, when using community matrices for assessing community-environment relationships, with an acceptable loss of information. EPT (Ephemeroptera, Plecoptera, and Trichoptera) and Characiformes or Siluriformes may be used as a surrogate, in some cases, for the entire assemblages of macroinvertebrates and fish, respectively, but their use may result in higher loss of information. Presence-absence data also presented a minimal loss of information compared to abundance data, for both macroinvertebrates and fish. The variation in congruence levels among macroinvertebrate datasets was less predicted by dataset characteristics than fish. Across distinct resolutions, on average, 10 % and 19 % of the variation in community composition of macroinvertebrates and fish, respectively, was explained by broad-scale environmental variables, and the effect size was negatively affected by the dataset's sample size and spatial extent for fish. Whereas identification at species (fish) and genus (macroinvertebrates) level and quantification of all individuals still provide the best scenario, we provide evidence that coarser taxonomical resolution and presence-absence data can be used as cost-effective alternatives to facilitate biomonitoring and bioassessment of freshwaters in the Neotropical region impacted by deforestation. A reliable response of bioindicators to environmental variation is a cornerstone for effective bioassessment and biomonitoring. Fish and aquatic macroinvertebrates are widely used as bioindicators of different human impacts in freshwater ecosystems, but the cost-effectiveness of their usage can be improved through the use of surrogates. We investigated congruence patterns between using different taxonomic and numeric resolutions for aquatic macroinvertebrates and fish to assess community-environment relationships. We also tested whether dataset characteristics (e.g., area sampled, species pool) could explain the variation in the effectiveness of using different taxonomic and numerical resolutions. We used a Brazilian nationwide database encompassing multiple datasets with a gradient of riparian deforestation each. Our findings suggest that families and genera can effectively represent macroinvertebrate genera and fish species, respectively, when using community matrices for assessing community-environment relationships, with an acceptable loss of information. EPT (Ephemeroptera, Plecoptera, and Trichoptera) and Characiformes or Siluriformes may be used as a surrogate, in some cases, for the entire assemblages of macroinvertebrates and fish, respectively, but their use may result in higher loss of information. Presence-absence data also presented a minimal loss of information compared to abundance data, for both macroinvertebrates and fish. The variation in congruence levels among macroinvertebrate datasets was less predicted by dataset characteristics than fish. Across distinct resolutions, on average, 10 % and 19 % of the variation in community composition of macroinvertebrates and fish, respectively, was explained by broad-scale environmental variables, and the effect size was negatively affected by the dataset's sample size and spatial extent for fish. Whereas identification at species (fish) and genus (macroinvertebrates) level and quantification of all individuals still provide the best scenario, we provide evidence that coarser taxonomical resolution and presence-absence data can be used as cost-effective alternatives to facilitate biomonitoring and bioassessment of freshwaters in the Neotropical region impacted by deforestation.A reliable response of bioindicators to environmental variation is a cornerstone for effective bioassessment and biomonitoring. Fish and aquatic macroinvertebrates are widely used as bioindicators of different human impacts in freshwater ecosystems, but the cost-effectiveness of their usage can be improved through the use of surrogates. We investigated congruence patterns between using different taxonomic and numeric resolutions for aquatic macroinvertebrates and fish to assess community-environment relationships. We also tested whether dataset characteristics (e.g., area sampled, species pool) could explain the variation in the effectiveness of using different taxonomic and numerical resolutions. We used a Brazilian nationwide database encompassing multiple datasets with a gradient of riparian deforestation each. Our findings suggest that families and genera can effectively represent macroinvertebrate genera and fish species, respectively, when using community matrices for assessing community-environment relationships, with an acceptable loss of information. EPT (Ephemeroptera, Plecoptera, and Trichoptera) and Characiformes or Siluriformes may be used as a surrogate, in some cases, for the entire assemblages of macroinvertebrates and fish, respectively, but their use may result in higher loss of information. Presence-absence data also presented a minimal loss of information compared to abundance data, for both macroinvertebrates and fish. The variation in congruence levels among macroinvertebrate datasets was less predicted by dataset characteristics than fish. Across distinct resolutions, on average, 10 % and 19 % of the variation in community composition of macroinvertebrates and fish, respectively, was explained by broad-scale environmental variables, and the effect size was negatively affected by the dataset's sample size and spatial extent for fish. Whereas identification at species (fish) and genus (macroinvertebrates) level and quantification of all individuals still provide the best scenario, we provide evidence that coarser taxonomical resolution and presence-absence data can be used as cost-effective alternatives to facilitate biomonitoring and bioassessment of freshwaters in the Neotropical region impacted by deforestation. A reliable response of bioindicators to environmental variation is a cornerstone for effective bioassessment and biomonitoring. Fish and aquatic macroinvertebrates are widely used as bioindicators of different human impacts in freshwater ecosystems, but the cost-effectiveness of their usage can be improved through the use of surrogates. We investigated congruence patterns between using different taxonomic and numeric resolutions for aquatic macroinvertebrates and fish to assess community-environment relationships. We also tested whether dataset characteristics (e.g., area sampled, species pool) could explain the variation in the effectiveness of using different taxonomic and numerical resolutions. We used a Brazilian nationwide database encompassing multiple datasets with a gradient of riparian deforestation each. Our findings suggest that families and genera can effectively represent macroinvertebrate genera and fish species, respectively, when using community matrices for assessing community-environment relationships, with an acceptable loss of information. EPT (Ephemeroptera, Plecoptera, and Trichoptera) and Characiformes or Siluriformes may be used as a surrogate, in some cases, for the entire assemblages of macroinvertebrates and fish, respectively, but their use may result in higher loss of information. Presence-absence data also presented a minimal loss of information compared to abundance data, for both macroinvertebrates and fish. The variation in congruence levels among macroinvertebrate datasets was less predicted by dataset characteristics than fish. Across distinct resolutions, on average, 10 % and 19 % of the variation in community composition of macroinvertebrates and fish, respectively, was explained by broad-scale environmental variables, and the effect size was negatively affected by the dataset's sample size and spatial extent for fish. Whereas identification at species (fish) and genus (macroinvertebrates) level and quantification of all individuals still provide the best scenario, we provide evidence that coarser taxonomical resolution and presence-absence data can be used as cost-effective alternatives to facilitate biomonitoring and bioassessment of freshwaters in the Neotropical region impacted by deforestation. [Display omitted] •We assessed congruence patterns of macroinvertebrates and fish and their drivers•We evaluate community-environmental relationships and their drivers•Low-resolution data serve as surrogates of high-resolution data•Considering cost-effectiveness, we recommend the use of coarser taxonomic resolution•The shortcuts proposed here support large-scale biomonitoring programs in Brazil. A reliable response of bioindicators to environmental variation is a cornerstone for effective bioassessment and biomonitoring. Fish and aquatic macroinvertebrates are widely used as bioindicators of different human impacts in freshwater ecosystems, but the cost-effectiveness of their usage can be improved through the use of surrogates. We investigated congruence patterns between using different taxonomic and numeric resolutions for aquatic macroinvertebrates and fish to assess community-environment relationships. We also tested whether dataset characteristics (e.g., area sampled, species pool) could explain the variation in the effectiveness of using different taxonomic and numerical resolutions. We used a Brazilian nationwide database encompassing multiple datasets with a gradient of riparian deforestation each. Our findings suggest that families and genera can effectively represent macroinvertebrate genera and fish species, respectively, when using community matrices for assessing community-environment relationships, with an acceptable loss of information. EPT (Ephemeroptera, Plecoptera, and Trichoptera) and Characiformes or Siluriformes may be used as a surrogate, in some cases, for the entire assemblages of macroinvertebrates and fish, respectively, but their use may result in higher loss of information. Presence-absence data also presented a minimal loss of information compared to abundance data, for both macroinvertebrates and fish. The variation in congruence levels among macroinvertebrate datasets was less predicted by dataset characteristics than fish. Across distinct resolutions, on average, 10 % and 19 % of the variation in community composition of macroinvertebrates and fish, respectively, was explained by broad-scale environmental variables, and the effect size was negatively affected by the dataset's sample size and spatial extent for fish. Whereas identification at species (fish) and genus (macroinvertebrates) level and quantification of all individuals still provide the best scenario, we provide evidence that coarser taxonomical resolution and presence-absence data can be used as cost-effective alternatives to facilitate biomonitoring and bioassessment of freshwaters in the Neotropical region impacted by deforestation. |
| ArticleNumber | 178654 |
| Author | Callisto, Marcos Abilhoa, Vinícius Brejão, Gabriel L. Lima, Luciano B. Castro, Diego M.P. Súarez, Yzel R. Vitule, Jean R.S. Oliveira, Fagner Junior Machado Cunico, Almir M. Dala-Corte, Renato B. Martins, Renato T. Casatti, Lilian Zuanon, Jansen Magalhães, André L.B. Becker, Fernando G. Ruaro, Renata Teresa, Fabrício B. Gubiani, Éder A. Macedo, Diego R. Dias-Silva, Karina Leitão, Rafael P. dos Santos, Mireile R. Montag, Luciano F.A. Pompeu, Paulo S. Godoy, Bruno S. Valente-Neto, Francisco Leal, Cecília G. Couceiro, Sheyla R.M. Lima-Junior, Dilermando P. Roque, Fabio de O. Hamada, Neusa Brito, Janaina Pamplin, Paulo A.Z. |
| Author_xml | – sequence: 1 givenname: Francisco surname: Valente-Neto fullname: Valente-Neto, Francisco email: fvalenteneto@gmail.com organization: Laboratório de Interações Multitróficas e Biodiversidade, Departamento de Biologia Animal, Instituto de Biologia, Universidade Estadual de Campinas, Campinas, SP, Brazil – sequence: 2 givenname: Renato B. surname: Dala-Corte fullname: Dala-Corte, Renato B. organization: Departamento de Ecologia, Universidade Federal de Goiás, Goiânia, GO, Brazil – sequence: 3 givenname: Almir M. surname: Cunico fullname: Cunico, Almir M. organization: Laboratório de Ecologia, Pesca e Ictiologia, Departamento de Biodiversidade, Setor Palotina, Universidade Federal do Paraná, Palotina, PR, Brazil – sequence: 4 givenname: André L.B. surname: Magalhães fullname: Magalhães, André L.B. organization: Programa de Pós-Graduação em Ecologia de Biomas Tropicais, Departamento de Biodiversidade, Instituto de Ciências Exatas e Biológicas, Universidade Federal de Ouro Preto (UFOP), Ouro Preto, MG, Brazil – sequence: 5 givenname: Bruno S. surname: Godoy fullname: Godoy, Bruno S. organization: Núcleo de Ecologia Aquática e Pesca da Amazônia, Universidade Federal do Pará, Belém, PA, Brazil – sequence: 6 givenname: Cecília G. surname: Leal fullname: Leal, Cecília G. organization: Lancaster University, Lancaster, UK – sequence: 7 givenname: Diego M.P. surname: Castro fullname: Castro, Diego M.P. organization: Laboratório de Ecologia de Bentos, Departamento de Genética, Ecologia e Evolução, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil – sequence: 8 givenname: Diego R. surname: Macedo fullname: Macedo, Diego R. organization: Departamento de Geografia, Instituto de Geociências, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil – sequence: 9 givenname: Dilermando P. surname: Lima-Junior fullname: Lima-Junior, Dilermando P. organization: Laboratório de Ecologia e Conservação de Ecossistemas 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Machado organization: Laboratório de Ecologia e Conservação de Ecossistemas Aquáticos, Universidade Federal de Mato Grosso, Pontal do Araguaia, MT, Brazil – sequence: 14 givenname: Fernando G. surname: Becker fullname: Becker, Fernando G. organization: Laboratório de Ecologia de Paisagens, Departamento de Ecologia, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil – sequence: 15 givenname: Gabriel L. surname: Brejão fullname: Brejão, Gabriel L. organization: Universidade Estadual Paulista (UNESP), Instituto de Biociências, Rio Claro, SP, Brazil – sequence: 16 givenname: Janaina surname: Brito fullname: Brito, Janaina organization: Secretaria de Educação do Estado de Mato Grosso, Diretoria Regional de Educação, Barra do Garças, MT, Brazil – sequence: 17 givenname: Jansen surname: Zuanon fullname: Zuanon, Jansen organization: Instituto Nacional de Pesquisas da Amazônia, Manaus, AM, Brazil – sequence: 18 givenname: Jean R.S. surname: Vitule fullname: Vitule, Jean R.S. organization: Laboratório de Ecologia e Conservação, Setor de Tecnologia, Departamento de Engenharia Ambiental, Universidade Federal do Paraná, Curitiba, PR, Brazil – sequence: 19 givenname: Karina surname: Dias-Silva fullname: Dias-Silva, Karina organization: Programa de Pós-Graduação em Ecologia, Universidade Federal do Pará, Belém, PA, Brazil – sequence: 20 givenname: Lilian surname: Casatti fullname: Casatti, Lilian organization: Universidade Estadual Paulista (UNESP), Departamento de Ciências Biológicas, São José do Rio Preto, SP, Brazil – sequence: 21 givenname: Luciano B. surname: Lima fullname: Lima, Luciano B. organization: Laboratório de Ecologia e Conservação de Ecossistemas Aquáticos, Universidade Federal de Mato Grosso, Pontal do Araguaia, MT, Brazil – sequence: 22 givenname: Luciano F.A. surname: Montag fullname: Montag, Luciano F.A. organization: Laboratório de Ecologia e Conservação, Instituto de Ciências Biológicas, Universidade Federal do Pará, Belém, PA, Brazil – 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| Title | Cost-effective alternatives to facilitate biomonitoring and bioassessment of neotropical streams |
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