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Development of a macroinvertebrate-based biotic index to assess water quality of rivers in Niger State, North Central Ecoregion of Nigeria.
Assie, Attobla Fulbert; Arimoro, Francis O; Ndatimana, Gilbert; Keke, Unique N; Ayanwale, Adesola V; Edia, Edia O; Edegbene, Augustine O.
Afiliación
  • Assie AF; Applied Hydrobiology Unit, Department of Animal Biology, Federal University of Technology, Niger State, Minna, PMB 65, 920101, Nigeria. ful_as225@yahoo.fr.
  • Arimoro FO; Applied Hydrobiology Unit, Department of Animal Biology, Federal University of Technology, Niger State, Minna, PMB 65, 920101, Nigeria.
  • Ndatimana G; Applied Hydrobiology Unit, Department of Animal Biology, Federal University of Technology, Niger State, Minna, PMB 65, 920101, Nigeria.
  • Keke UN; Center of Excellence in Biodiversity and Natural Resources Management, University of Rwanda, P.O Box: 512, Butare, Huye, Rwanda.
  • Ayanwale AV; Applied Hydrobiology Unit, Department of Animal Biology, Federal University of Technology, Niger State, Minna, PMB 65, 920101, Nigeria.
  • Edia EO; Applied Hydrobiology Unit, Department of Animal Biology, Federal University of Technology, Niger State, Minna, PMB 65, 920101, Nigeria.
  • Edegbene AO; Laboratory of Environment and Aquatic Biology, Faculty of Environmental Sciences and Management, University Nangui Abrogoua, 02 BP 801, Abidjan 02, Lagunes, Côte d'Ivoire.
Environ Monit Assess ; 196(3): 230, 2024 Feb 02.
Article en En | MEDLINE | ID: mdl-38305996
ABSTRACT
The increasing pollution of lotic ecosystems in sub-Saharan Africa, particularly in Nigeria, poses a threat to water quality, public health and biodiversity. It is therefore essential to develop appropriate tools and methods for monitoring these rivers, particularly in heavily affected areas, where these water resources are vital to the surrounding communities that are heavily dependent on them. To fill this gap, we propose to develop a multimetric index based on macroinvertebrates for the assessment of ecological quality of rivers in Niger State (NSRBI). Eighty-eight metrics were evaluated through a step-by-step statistical process (namely, range test and stability, redundancy test and relationship with abiotic variables), in which metrics that did not meet the conditions were excluded. At the end of this process, only four metrics (%Hemiptera, Diptera richness, Pielou equitability and % of very large individuals (size > 40 mm)) fulfilling all criteria were included in the index. These metrics were then scored on a continuous scale and divided into four water quality classes "very poor", "poor", "fair" and "good". Evaluation of the performance of the index on test sites showed a correspondence of 90% between index result and environmental-based classification. Therefore, the NSRBI could be a valuable tool for monitoring and assessing the ecological conditions of rivers in Niger State and the North Central Nigeria ecoregion predominantly in urban and agricultural landscapes.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Calidad del Agua / Ecosistema Límite: Animals / Humans País/Región como asunto: Africa Idioma: En Año: 2024 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Calidad del Agua / Ecosistema Límite: Animals / Humans País/Región como asunto: Africa Idioma: En Año: 2024 Tipo del documento: Article