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An Assessment Of The Water Quality Of River Eruvbi Using Aquatic Insects As Bio-Indicators

Author

Listed:
  • Opoggen, Love

    (Entomology Unit, Animal and Environmental Biology Department, University of Benin, P.M.B 1154, Benin City, Edo State, Nigeria.)

  • Rotimi, Johnny

    (Entomology Unit, Animal and Environmental Biology Department, University of Benin, P.M.B 1154, Benin City, Edo State, Nigeria.)

Abstract

A study to ascertain the water quality and species composition of the aquatic insect of Eruvbi River flowing through Ekosodin Village, Nigeria was conducted between June and August 2009. Four locations were selected with physical and chemical parameters determined along with the insect fauna collected using general purpose net and sweep net; captured insects were identified and classified into taxonomic groups. The result obtained for the condition of the water revealed dissimilarities in all except pH and Total Dissolved Solids which were similar in all stations. A total of 311 individuals from 7 orders across 20 families and 27 taxa were encountered. The highest abundance in species and family was found in station 4 (110 and 18) while the least was found in station 1 (61 individuals) and station 3 (13 families). The dominant orders were Odonata, Diptera and Ephemeroptera in all stations. Trichoptera, Coleoptera. Hemiptera were subdominant while Plecoptera was scarcely found in stations 2 and 4. The diversity and biotic indices showed that the water had good quality, which was the inference from the abundance of indicator species denoting the water was free from pollution with the nature of the substratum and presence of aquatic macrophytes influencing the insect composition and diversity.

Suggested Citation

  • Opoggen, Love & Rotimi, Johnny, 2024. "An Assessment Of The Water Quality Of River Eruvbi Using Aquatic Insects As Bio-Indicators," Journal Clean WAS (JCleanWAS), Zibeline International Publishing, vol. 8(1), pages 45-49, January.
    • Handle: RePEc:zib:jclnws:v:8:y:2024:i:1:p:45-49
    DOI: 10.26480/jcleanwas.01.2024.45.49
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