A Scientometric Analysis of the Use Indices for Water Quality Biomonitoring
DOI:
https://doi.org/10.21664/2238-8869.2023v12i3.p12-27Palavras-chave:
macroinvertebrados, recursos hídricos, indicadores ecológicos, revisãoResumo
Os recursos hídricos são abastecidos sob forte pressão antrópica e dão origem a diversos problemas de poluição hídrica no mundo, que exigem o uso de metodologias para sua avaliação. Assim, esta pesquisa teve como objetivo identificar índices de biomonitoramento baseados em macroinvertebrados na avaliação da qualidade da água utilizada e identificar suas tendências de aplicação. O estudo foi desenvolvido através de uma revisão cienciométrica durante um período de 20 anos (2000-2020). A busca consiste em artigos indexados nas bases de dados Scielo, ScienceDirect e Scopus, com base nas palavras-chave "índice biótico" * OR "macroinvertebrados aquáticos" * OR "macroinvertebrados bentônicos" * OR "Biomonitoring" * AND "qualidade da água". A seleção, assim como a inclusão e a exclusão, foi aplicada no programa Start (estado da arte por meio de revisão sistemática-start). Os resultados mostraram que o índice EPT (Ephemeroptera, Plecoptera e Trichoptera) foi o mais utilizado entre todas as bases investigadas (20%) e entre os periódicos, obteve-se o maior número de Indicadores Ecológicos (11%). Em relação aos índices utilizados nas pesquisas de biomonitoramento, o índice ASPT (pontuação média por táxon) foi o único com tendência a aumentar sua utilização ao longo dos anos (R² = 0,29; p < 0,05). Embora os índices de biomonitoramento sejam comumente usados em todo o mundo, indicando que ainda é uma ferramenta alternativa, esta revisão de literatura mostra que dentre os índices apenas um apresenta tendência de uso, o que deve ser considerado para pesquisas futuras.
Referências
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Arslan NA, Salur H, Kalyoncu, Mercan D, Barisik B, Odabasi DA 2016. The use of BMWP and ASPT indices for evaluation of water quality according to macroinvertebrates in Kucuk Menderes River .Turkey. Biologia 71:49–57. https://doi.org/10.1515/biolog-2016-0005.
Barbola IF, Moraes MFPG, Anazawa TM, Nascimento EA, Sepka ER, Polegatto CM, Milléo J, Schühli GS 2011. Avaliação da comunidade de macroinvertebrados aquáticos como ferramenta para o monitoramento de um reservatório na bacia do rio Pitangui, Paraná, Brasil. Iheringia Série Zoologia 101:15–23. https://doi.org/10.1590/s0073-47212011000100002.
Barbosa DA, Brasil LS, De Azevêdo CAS, Lima LRC 2020. The role of spatial and environmental variables in shaping aquatic insect assemblages in two protected areas in the transition area between Cerrado and Amazônia. Biota Neotropica 20. https://doi.org/10.1590/1676-0611-bn-2019-0923.
Barbour MT, Gerritsen J, Snyder BD, Stribling JB 1999. Rapid bioassessment protocols for use in streams and wadeable rivers: periphyton, benthic macroinvertebrates and fish. Second Edition. EPA 841-B-99-002. U.S. Environmental Protection Agency; Office of Water; Washington, D.C.
Blijswijk WV, Coimbra, CN, Graça MAS 2004. The use of biological methods based on macroinvertebrates to an Iberian stream .Central Portugal. receiving a paper mill effluent. Limnetica 23:307–314. https://doi.org/10.23818/limn.23.26.
Borja A, Tunberg BG 2011. Assessing benthic health in stressed subtropical estuaries, eastern Florida, USA using AMBI and M-AMBI. Ecology indicator 11:295–303. https://doi.org/10.1016/j.ecolind.2010.05.007.
Borsoi ZMF, Torres SDA 1997. A política de recursos hídricos no Brasil. Revista do BNDES, Rio de Janeiro, v. 4, n.8, p.143-165.
Brabec K, Zahrádková S, Němejcová D, Pařil P, Kokeš J, Jarkovský J 2004. Assessment of organic pollution effect considering differences between lotic and lentic stream habitats. Hydrobiologia 516:331–346. https://doi.org/10.1023/B:HYDR.0000025274.47757.85.
Buss DF, Baptist, DF, Nessimian JL 2003. Bases conceituais para a aplicação de biomonitoramento em programas de avaliação da qualidade da água de rios. Caderno de Saúde Publica 19:465–473. https://doi.org/10.1590/s0102-311x2003000200013.
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Chutter FM 1972. An empirical biotic index of the quality of water in south African streams and rivers. Water Res 6:19–30. https://doi.org/10.1016/0043-1354.72.90170-4
De Queiroz MEF, Schäffer AL, Villela ACAS, Martins e Martins DE, Silva PHT 2018. Use of benthic macroinvertebrates as bioindicators in an urban stream in Conceição do Araguaia-PA. Sustentabilidade em Debate 9:96–110. https://doi.org/10.18472/SustDeb.v9n3.2018.18378.
Duka S, Pepa B, Keci E, Paparisto A, Lazo P 2017. Biomonitoring of water quality of the Osumi, Devolli, and Shkumbini rivers through benthic macroinvertebrates and chemical parameters. Journal of Environmental Science and Health - Part A Toxic/Hazardous Substances and Environmental Engineering, 52:471–478. https://doi.org/10.1080/10934529.2016.1274167.
Fernández S, Rodríguez‐Martínez S, Martínez JL, Garcia-Vazquez E, Ardura A 2019. How can eDNA contribute in riverine macroinvertebrate assessment? A metabarcoding approach in the Nalón River.Asturias, Northern Spain. Environmental DNA, 1:385–401. https://doi.org/10.1002/edn3.40.
Fierro P, Bertrán C, Mercado M, Peña-Cortés F, Tapia J, Hauenstein E, Vargas-Chacoff L 2012. Benthic macroinvertebrate assemblages as indicators of water quality applying a modified biotic index in a spatio-seasonal context in a coastal basin of Southern Chile. Revista de Biologia Marina y Oceanografía, 47:23–33. https://doi.org/10.4067/s0718-19572012000100003.
Gonçalves FB, Menezes MS 2011. A comparative analysis of biotic indices that use macroinvertebrates to assess water quality in a coastal river of Paraná state, southern Brazil. Biota Neotropica, 11:27–36. https://doi.org/10.1590/s1676-06032011000400002
Gutiérrez-Fonseca PE, Lorion, CM 2014. Application of the BMWP-Costa Rica biotic index in aquatic biomonitoring: Sensitivity to collection method and sampling intensity. Revista Biologia Tropical, 62:275–289. https://doi.org/10.15517/rbt.v62i0.15792.
Gutiérrez-Fonseca PE, Ramírez A 2016. Ecological evaluation of streams in Puerto Rico: Major threats and evaluation tools. Hidrobiologica 26:433–441. https://doi.org/10.24275/uam/izt/dcbs/hidro/2016v26n3/ramirez.
Hilsenhoff WL 1988. Rapid Field Assessment of Organic Pollution with a Family-Level Biotic Index. Journal of the North American Benthological Society, 7:65–68. https://doi.org/10.2307/1467832.
Humphrey C, Hanley J, Camilleri C 2008. A Compendium of Ecological Information on Australia’s Northern Tropical Rivers: REPORT 6 Aquatic Macroinvertebrates. 67.
Iliopoulou-Georgudaki J, Kantzaris V, Katharios P, Kaspiris P, Georgiadis TH, Montesantou B 2003. An application of different bioindicators for assessing water quality: A case study in the rivers Alfeios and Pineios .Peloponnisos, Greece. Ecologial Indicators, 2:345–360. https://doi.org/10.1016/S1470-160X.03.00004-9.
Johnson RK, Wiederholm T, Rosenberg DM 1993. Freshwater biomonitoring using individual organisms, populations, and species assemblages of benthic macroinvertebrates. Chapman Hall, New York.Usa. 40–125. https://doi.org/10.1111/jace.13934.
Junqueira MV, Friedrich G, Pereira A 2010. A saprobic index for biological assessment of river water quality in Brazil .Minas Gerais and Rio de Janeiro states.
Environmental Monitoring and Assessment, 163:545–554. https://doi.org/10.1007/s10661-009-0857-1.
Kilgour BW, Somers KM, Barton DR 2004. A comparison of the sensitivity of stream benthic community indices to effects associated with mines, pulp and paper mills, and urbanization. Environmental toxicology chemistry, 23:212–221. https://doi.org/10.1897/02-412.
Kolkwitz R, Marsson M 1909. Ökologie der tierischen Saprobien. Beiträge zur Lehre von der biologischen Gewässerbeurteilung. Internationale Revue der gesamten Hydrobiologie und Hydrographie, 2:126–152. https://doi.org/10.1002/iroh.19090020108.
Li L, Zheng B, Liu L 2010. Biomonitoring and bioindicators used for river ecosystems: Definitions, approaches and trends. Procedia Environmental Sciences, 2:1510–1524. https://doi.org/10.1016/j.proenv.2010.10.164.
Li X, Zhang Y, Guo F, Gao X, Wang Y 2018. Predicting the effect of land use and climate change on stream macroinvertebrates based on the linkage between structural equation modeling and bayesian network. Ecological Indicators 85:820–831. https://doi.org/10.1016/j.ecolind.2017.11.044.
Mao F, Zhao X, Ma P, Chi H, Richards K, Hannah D, Krause S 2019. Revision of biological indices for aquatic systems: A ridge-regression solution. Ecological Indicators, 106:105478. https://doi.org/10.1016/j.ecolind.2019.105478.
Metcalfe JL 1989. Biological water quality assessment of running waters based on macroinvertebrate communities: History and present status in Europe. Environmental Pollution, 60:101–139. https://doi.org/10.1016/0269-7491.89.90223-6.
Nakano D, Nagayama S, Kawaguchi Y, Nakamura F 2008. River restoration for macroinvertebrate communities in lowland rivers: Insights from restorations of the Shibetsu River, north Japan. Landscape and Ecological Engineering. 4. 63-68. 10.1007/s11355-008-0038-3.
Nishy P, Saroja 2018. A scientometric examination of the water quality research in India. Environmental Monitoring and Assessment, 190:. https://doi.org/10.1007/s10661-018-6601-y.
Ochieng H, Odong R, Okot-Okumu J 2020. Comparison of temperate and tropical versions of Biological Monitoring Working Party .BMWP. index for assessing water quality of River Aturukuku in Eastern Uganda. Global Ecology and Conservation, 23:e01183. https://doi.org/10.1016/j.gecco.2020.e01183.
Paisley MF, Trigg DJ, Walley WJ 2014. Revision of the biological monitoring working party .BMWP. score system: Derivation of present-only and abundance-related scores from field data. River Research and Applications, 30:887–904. https://doi.org/10.1002/rra.2686.
Tafur CM, Revilla MH, Ruiz WP, Aguilar RG, Guzmán IA 2010. El indice Biological Monitoring Working Party (BMWP), modificado y adaptado a tres microcuencas del Alto Chicama. La Libertad. Perú. Sciéndo, 13(2).
Programa Mundial De Las Naciones Unidas De Evaluación De Los Recursos Hídricos- WWAP 2018. Informe Mundial de las Naciones Unidas sobre el Desarollo de los Recursos Hídricos Soluciones Basadas en la Naturaleza para La Gestión del Agua
Ríos-Touma B, Acosta R, Prat N 2014. The Andean biotic index .ABI.: Revised tolerance to pollution values for macroinvertebrate families and index performance evaluation. Revista Biologia Tropical, 62:249–273. https://doi.org/10.15517/rbt.v62i0.15791.
Roche KF, Queiroz EP, Righi KO, Souza GM 2010. Use of the BMWP and ASPT indices for monitoring environmental quality in a neotropical stream. Acta Limnologica Brasiliensia, 22:105–108. https://doi.org/10.4322/actalb.02201010.
Roy AH, Rosemond AD, Leigh DS, Paul MJ, Wallace JB 2003. Habitat-specific responses of stream insects to land cover disturbance: Biological consequences and monitoring implications. Journal of the North American Benthological Society, 22:292–307. https://doi.org/10.2307/1467999.
Saha S, Jyrwa LM, Lynser MB, Kharchandi D, Dohling B, Khongwir S, Massar B, Saha A, Rynjah P, Kharbyngar B, Kharbuddon J, Pariong I, Syngkli S 2016. Biomonitoring using aquatic macroinvertebrates as a tool for building capacity in the field of freshwater ecology and conservation in Meghalaya, India. Journal of Ecological Society. 29. 9-26. 10.54081/JES.025/02.
Selvakumar A, O'connor T, Struck S 2010. Role of Stream Restoration on Improving Benthic Macroinvertebrates and In-Stream Water Quality in an Urban Watershed: Case Study. Journal of Environmental Engineering. 136. 127-139. 10.1061/.ASCE.EE.1943-7870.0000116.
Silva L, Vieira L, Costa D, Lima-Filho G, Vital M, Carvalho R, Silveira A, Oliveira L 2005. Qualitative and quantitative benthic macroinvertebrate samplers in Cerrado streams: a comparative approach. 17. 123-128.
Steyn M, Oberholster PJ, Botha AM, Genthe B, Van Der Heever-Kriek PE, Weyers C 2019. Treated acid mine drainage and stream recovery: Downstream impacts on benthic macroinvertebrate communities in relation to multispecies toxicity bioassays. Journal Environmental Manage, 235:377–388. https://doi.org/10.1016/j.jenvman.2019.01.051.
Tirkey P, Bhattacharya T, Chakraborty S 2013. Water Quality Indices- Important Tools for Water Quality Assessment : International journal of advanced chemistry, 1:15–28.
Valente-Neto F, Rodrigues ME, Roque FO 2018. Selecting indicators based on biodiversity surrogacy and environmental response in a riverine network: Bringing operationality to biomonitoring. Ecological Indicators, 94:198–206. https://doi.org/10.1016/j.ecolind.2018.06.066.
Wang X, Wang K, Ding J, Chen X, Li Y, Zhang W 2020. Predicting water quality during urbanization based on a causality-based input variable selection method modified back-propagation neural network. Environmental Science and Pollution Research, https://doi.org/10.1007/s11356-020-10514-8.
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Arslan NA, Salur H, Kalyoncu, Mercan D, Barisik B, Odabasi DA 2016. The use of BMWP and ASPT indices for evaluation of water quality according to macroinvertebrates in Kucuk Menderes River .Turkey. Biologia 71:49–57. https://doi.org/10.1515/biolog-2016-0005.
Barbola IF, Moraes MFPG, Anazawa TM, Nascimento EA, Sepka ER, Polegatto CM, Milléo J, Schühli GS 2011. Avaliação da comunidade de macroinvertebrados aquáticos como ferramenta para o monitoramento de um reservatório na bacia do rio Pitangui, Paraná, Brasil. Iheringia Série Zoologia 101:15–23. https://doi.org/10.1590/s0073-47212011000100002.
Barbosa DA, Brasil LS, De Azevêdo CAS, Lima LRC 2020. The role of spatial and environmental variables in shaping aquatic insect assemblages in two protected areas in the transition area between Cerrado and Amazônia. Biota Neotropica 20. https://doi.org/10.1590/1676-0611-bn-2019-0923.
Barbour MT, Gerritsen J, Snyder BD, Stribling JB 1999. Rapid bioassessment protocols for use in streams and wadeable rivers: periphyton, benthic macroinvertebrates and fish. Second Edition. EPA 841-B-99-002. U.S. Environmental Protection Agency; Office of Water; Washington, D.C.
Blijswijk WV, Coimbra, CN, Graça MAS 2004. The use of biological methods based on macroinvertebrates to an Iberian stream .Central Portugal. receiving a paper mill effluent. Limnetica 23:307–314. https://doi.org/10.23818/limn.23.26.
Borja A, Tunberg BG 2011. Assessing benthic health in stressed subtropical estuaries, eastern Florida, USA using AMBI and M-AMBI. Ecology indicator 11:295–303. https://doi.org/10.1016/j.ecolind.2010.05.007.
Borsoi ZMF, Torres SDA 1997. A política de recursos hídricos no Brasil. Revista do BNDES, Rio de Janeiro, v. 4, n.8, p.143-165.
Brabec K, Zahrádková S, Němejcová D, Pařil P, Kokeš J, Jarkovský J 2004. Assessment of organic pollution effect considering differences between lotic and lentic stream habitats. Hydrobiologia 516:331–346. https://doi.org/10.1023/B:HYDR.0000025274.47757.85.
Buss DF, Baptist, DF, Nessimian JL 2003. Bases conceituais para a aplicação de biomonitoramento em programas de avaliação da qualidade da água de rios. Caderno de Saúde Publica 19:465–473. https://doi.org/10.1590/s0102-311x2003000200013.
Callisto M, Gomes V, Regina D 2006. Macroinvertebrados bentônicos bioindicadores de qualidade de água : subsídios para a vazão ecológica no baixo rio São Francisco. XXVIII Simpósio Bras Recusrsos Hídricos 1–18.
Chutter FM 1972. An empirical biotic index of the quality of water in south African streams and rivers. Water Res 6:19–30. https://doi.org/10.1016/0043-1354.72.90170-4
De Queiroz MEF, Schäffer AL, Villela ACAS, Martins e Martins DE, Silva PHT 2018. Use of benthic macroinvertebrates as bioindicators in an urban stream in Conceição do Araguaia-PA. Sustentabilidade em Debate 9:96–110. https://doi.org/10.18472/SustDeb.v9n3.2018.18378.
Duka S, Pepa B, Keci E, Paparisto A, Lazo P 2017. Biomonitoring of water quality of the Osumi, Devolli, and Shkumbini rivers through benthic macroinvertebrates and chemical parameters. Journal of Environmental Science and Health - Part A Toxic/Hazardous Substances and Environmental Engineering, 52:471–478. https://doi.org/10.1080/10934529.2016.1274167.
Fernández S, Rodríguez‐Martínez S, Martínez JL, Garcia-Vazquez E, Ardura A 2019. How can eDNA contribute in riverine macroinvertebrate assessment? A metabarcoding approach in the Nalón River.Asturias, Northern Spain. Environmental DNA, 1:385–401. https://doi.org/10.1002/edn3.40.
Fierro P, Bertrán C, Mercado M, Peña-Cortés F, Tapia J, Hauenstein E, Vargas-Chacoff L 2012. Benthic macroinvertebrate assemblages as indicators of water quality applying a modified biotic index in a spatio-seasonal context in a coastal basin of Southern Chile. Revista de Biologia Marina y Oceanografía, 47:23–33. https://doi.org/10.4067/s0718-19572012000100003.
Gonçalves FB, Menezes MS 2011. A comparative analysis of biotic indices that use macroinvertebrates to assess water quality in a coastal river of Paraná state, southern Brazil. Biota Neotropica, 11:27–36. https://doi.org/10.1590/s1676-06032011000400002
Gutiérrez-Fonseca PE, Lorion, CM 2014. Application of the BMWP-Costa Rica biotic index in aquatic biomonitoring: Sensitivity to collection method and sampling intensity. Revista Biologia Tropical, 62:275–289. https://doi.org/10.15517/rbt.v62i0.15792.
Gutiérrez-Fonseca PE, Ramírez A 2016. Ecological evaluation of streams in Puerto Rico: Major threats and evaluation tools. Hidrobiologica 26:433–441. https://doi.org/10.24275/uam/izt/dcbs/hidro/2016v26n3/ramirez.
Hilsenhoff WL 1988. Rapid Field Assessment of Organic Pollution with a Family-Level Biotic Index. Journal of the North American Benthological Society, 7:65–68. https://doi.org/10.2307/1467832.
Humphrey C, Hanley J, Camilleri C 2008. A Compendium of Ecological Information on Australia’s Northern Tropical Rivers: REPORT 6 Aquatic Macroinvertebrates. 67.
Iliopoulou-Georgudaki J, Kantzaris V, Katharios P, Kaspiris P, Georgiadis TH, Montesantou B 2003. An application of different bioindicators for assessing water quality: A case study in the rivers Alfeios and Pineios .Peloponnisos, Greece. Ecologial Indicators, 2:345–360. https://doi.org/10.1016/S1470-160X.03.00004-9.
Johnson RK, Wiederholm T, Rosenberg DM 1993. Freshwater biomonitoring using individual organisms, populations, and species assemblages of benthic macroinvertebrates. Chapman Hall, New York.Usa. 40–125. https://doi.org/10.1111/jace.13934.
Junqueira MV, Friedrich G, Pereira A 2010. A saprobic index for biological assessment of river water quality in Brazil .Minas Gerais and Rio de Janeiro states.
Environmental Monitoring and Assessment, 163:545–554. https://doi.org/10.1007/s10661-009-0857-1.
Kilgour BW, Somers KM, Barton DR 2004. A comparison of the sensitivity of stream benthic community indices to effects associated with mines, pulp and paper mills, and urbanization. Environmental toxicology chemistry, 23:212–221. https://doi.org/10.1897/02-412.
Kolkwitz R, Marsson M 1909. Ökologie der tierischen Saprobien. Beiträge zur Lehre von der biologischen Gewässerbeurteilung. Internationale Revue der gesamten Hydrobiologie und Hydrographie, 2:126–152. https://doi.org/10.1002/iroh.19090020108.
Li L, Zheng B, Liu L 2010. Biomonitoring and bioindicators used for river ecosystems: Definitions, approaches and trends. Procedia Environmental Sciences, 2:1510–1524. https://doi.org/10.1016/j.proenv.2010.10.164.
Li X, Zhang Y, Guo F, Gao X, Wang Y 2018. Predicting the effect of land use and climate change on stream macroinvertebrates based on the linkage between structural equation modeling and bayesian network. Ecological Indicators 85:820–831. https://doi.org/10.1016/j.ecolind.2017.11.044.
Mao F, Zhao X, Ma P, Chi H, Richards K, Hannah D, Krause S 2019. Revision of biological indices for aquatic systems: A ridge-regression solution. Ecological Indicators, 106:105478. https://doi.org/10.1016/j.ecolind.2019.105478.
Metcalfe JL 1989. Biological water quality assessment of running waters based on macroinvertebrate communities: History and present status in Europe. Environmental Pollution, 60:101–139. https://doi.org/10.1016/0269-7491.89.90223-6.
Nakano D, Nagayama S, Kawaguchi Y, Nakamura F 2008. River restoration for macroinvertebrate communities in lowland rivers: Insights from restorations of the Shibetsu River, north Japan. Landscape and Ecological Engineering. 4. 63-68. 10.1007/s11355-008-0038-3.
Nishy P, Saroja 2018. A scientometric examination of the water quality research in India. Environmental Monitoring and Assessment, 190:. https://doi.org/10.1007/s10661-018-6601-y.
Ochieng H, Odong R, Okot-Okumu J 2020. Comparison of temperate and tropical versions of Biological Monitoring Working Party .BMWP. index for assessing water quality of River Aturukuku in Eastern Uganda. Global Ecology and Conservation, 23:e01183. https://doi.org/10.1016/j.gecco.2020.e01183.
Paisley MF, Trigg DJ, Walley WJ 2014. Revision of the biological monitoring working party .BMWP. score system: Derivation of present-only and abundance-related scores from field data. River Research and Applications, 30:887–904. https://doi.org/10.1002/rra.2686.
Tafur CM, Revilla MH, Ruiz WP, Aguilar RG, Guzmán IA 2010. El indice Biological Monitoring Working Party (BMWP), modificado y adaptado a tres microcuencas del Alto Chicama. La Libertad. Perú. Sciéndo, 13(2).
Programa Mundial De Las Naciones Unidas De Evaluación De Los Recursos Hídricos- WWAP 2018. Informe Mundial de las Naciones Unidas sobre el Desarollo de los Recursos Hídricos Soluciones Basadas en la Naturaleza para La Gestión del Agua
Ríos-Touma B, Acosta R, Prat N 2014. The Andean biotic index .ABI.: Revised tolerance to pollution values for macroinvertebrate families and index performance evaluation. Revista Biologia Tropical, 62:249–273. https://doi.org/10.15517/rbt.v62i0.15791.
Roche KF, Queiroz EP, Righi KO, Souza GM 2010. Use of the BMWP and ASPT indices for monitoring environmental quality in a neotropical stream. Acta Limnologica Brasiliensia, 22:105–108. https://doi.org/10.4322/actalb.02201010.
Roy AH, Rosemond AD, Leigh DS, Paul MJ, Wallace JB 2003. Habitat-specific responses of stream insects to land cover disturbance: Biological consequences and monitoring implications. Journal of the North American Benthological Society, 22:292–307. https://doi.org/10.2307/1467999.
Saha S, Jyrwa LM, Lynser MB, Kharchandi D, Dohling B, Khongwir S, Massar B, Saha A, Rynjah P, Kharbyngar B, Kharbuddon J, Pariong I, Syngkli S 2016. Biomonitoring using aquatic macroinvertebrates as a tool for building capacity in the field of freshwater ecology and conservation in Meghalaya, India. Journal of Ecological Society. 29. 9-26. 10.54081/JES.025/02.
Selvakumar A, O'connor T, Struck S 2010. Role of Stream Restoration on Improving Benthic Macroinvertebrates and In-Stream Water Quality in an Urban Watershed: Case Study. Journal of Environmental Engineering. 136. 127-139. 10.1061/.ASCE.EE.1943-7870.0000116.
Silva L, Vieira L, Costa D, Lima-Filho G, Vital M, Carvalho R, Silveira A, Oliveira L 2005. Qualitative and quantitative benthic macroinvertebrate samplers in Cerrado streams: a comparative approach. 17. 123-128.
Steyn M, Oberholster PJ, Botha AM, Genthe B, Van Der Heever-Kriek PE, Weyers C 2019. Treated acid mine drainage and stream recovery: Downstream impacts on benthic macroinvertebrate communities in relation to multispecies toxicity bioassays. Journal Environmental Manage, 235:377–388. https://doi.org/10.1016/j.jenvman.2019.01.051.
Tirkey P, Bhattacharya T, Chakraborty S 2013. Water Quality Indices- Important Tools for Water Quality Assessment : International journal of advanced chemistry, 1:15–28.
Valente-Neto F, Rodrigues ME, Roque FO 2018. Selecting indicators based on biodiversity surrogacy and environmental response in a riverine network: Bringing operationality to biomonitoring. Ecological Indicators, 94:198–206. https://doi.org/10.1016/j.ecolind.2018.06.066.
Wang X, Wang K, Ding J, Chen X, Li Y, Zhang W 2020. Predicting water quality during urbanization based on a causality-based input variable selection method modified back-propagation neural network. Environmental Science and Pollution Research, https://doi.org/10.1007/s11356-020-10514-8.
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2023-10-27
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SILVA, Raquel Santos Batista da; LÁZARO, Wilkinson Lopes; GALBIATI, Carla; SOUZA, Acisa Raimunda de; LIZIERI, Claudineia; OLIVEIRA JUNIOR, Ernandes Sobreira. A Scientometric Analysis of the Use Indices for Water Quality Biomonitoring. Fronteira: Journal of Social, Technological and Environmental Science, [S. l.], v. 12, n. 3, p. 12–27, 2023. DOI: 10.21664/2238-8869.2023v12i3.p12-27. Disponível em: https://revistas2.unievangelica.edu.br/index.php/fronteiras/article/view/6450. Acesso em: 21 nov. 2024.
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