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A Macroinvertebrate-Based Multimetric Index for Assessing Ecological Condition of Forested Stream Sites Draining Nigerian Urbanizing Landscapes

Author

Listed:
  • Augustine Ovie Edegbene

    (Institute for Water Research, Rhodes University, Makhanda 6140, South Africa
    Department of Biological Sciences, Federal University of Health Sciences, Otukpo 972261, Nigeria)

  • Frank Chukwuzuoke Akamagwuna

    (Institute for Water Research, Rhodes University, Makhanda 6140, South Africa)

  • Oghenekaro Nelson Odume

    (Institute for Water Research, Rhodes University, Makhanda 6140, South Africa)

  • Francis Ofurum Arimoro

    (Department of Animal Biology, Federal University of Technology, Minna P.M.B. 65, Nigeria)

  • Tega Treasure Edegbene Ovie

    (Department of Chemistry, Federal University of Health Sciences, Otukpo 972261, Nigeria)

  • Ehi Constantine Akumabor

    (Safety and Security Management Division, Department of Engineering Management Services, Federal Ministry of Works and Housing, Abuja 900108, Nigeria)

  • Efe Ogidiaka

    (Department of Marine Science, University of Delta, Agbor 321103, Nigeria)

  • Edike Adewumi Kaine

    (Department of Animal and Environmental Biology, Delta State University, Abraka 330105, Nigeria)

  • Kehi Harry Nwaka

    (Department of Planning, Research and Statistics, Ministry of Education (Technical), Asaba 320242, Nigeria)

Abstract

Urban pollution is increasing at an alarming rate within the catchments of forested riverine systems in sub-Saharan Africa, Nigeria inclusive. Assessing the impact of pollution in riverine systems in the Niger Delta region is still within the use of physico-chemical variables and biota-based assemblage. In covering this important gap in freshwater biomonitoring, we developed a macroinvertebrate-based multimetric index (MMI) that would be useful in monitoring, assessing, and managing forested riverine sites affected by urban pollution. We collected macroinvertebrates and physico-chemical samples monthly at 20 sites in 11 streams. Physico-chemical variables were analysed using standard methods while a kick sampling procedure was employed in collecting macroinvertebrates. The physico-chemical variables were used to classify the sites into three disturbance categories: least-impacted sites (LIS), moderately impacted sites (MIS), and heavily impacted sites (HIS). Fifty-nine candidate macroinvertebrate metrics were selected and screened for developing our MMI. We employed sensitivity, seasonality, repeatability and redundancy tests, and metric scoring in screening and arriving at the final metrics for the MMI development. Five metrics were finally selected for the MMI development: Trichoptera abundance, %Chironomidae+Oligochaeta, Coleoptera richness, Simpson diversity, and Shannon–Wiener index. Correlation in the selected metrics with physico-chemical variables showed that Simpson diversity was negatively correlated with pH in the MIS and Coleoptera richness was positively correlated with dissolved oxygen (DO) and water depth in the LIS. Nitrate, biochemical oxygen demand (BOD), conductivity, and water temperature were negatively correlated with %Chironomidae+Oligochaeta in the HIS. This MMI can aid river and stream managers in assessing the ecological conditions of rivers and streams in the Niger Delta region of Nigeria.

Suggested Citation

  • Augustine Ovie Edegbene & Frank Chukwuzuoke Akamagwuna & Oghenekaro Nelson Odume & Francis Ofurum Arimoro & Tega Treasure Edegbene Ovie & Ehi Constantine Akumabor & Efe Ogidiaka & Edike Adewumi Kaine , 2022. "A Macroinvertebrate-Based Multimetric Index for Assessing Ecological Condition of Forested Stream Sites Draining Nigerian Urbanizing Landscapes," Sustainability, MDPI, vol. 14(18), pages 1-21, September.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:18:p:11289-:d:910313
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