JOURNAL ARTICLE

Population Dynamics of Freshwater Snails in Three Towns in Ekiti State, Nigeria.

  • Published In: Nigerian Journal of Parasitology, 2024, v. 45, n. 1. P. 135 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Olorunniyi, O. F.; Olofintoye, L. K. 3 of 3

Abstract

Many rivers and streams in Nigeria are habitats of freshwater snails. Many of these snails are edible, whereas others are intermediate hosts of various flatworms. Nine rivers and streams from three towns in Ekiti State, Nigeria, were examined for the presence of freshwater snails. Each freshwater habitat was sampled for snails at the designated sites for 15 min on a monthly basis using a 0.2 mm mesh scoop. The collected snails were transported to the laboratory in pre-labelled plastic containers. Two thousand three hundred and thirty-one (2331) freshwater snails were collected from all habitats. Lanistes libycus had the highest population, 1044 (44.8%). The other species were Melanoides tuberculata 550 (23.6%), Bulinus globosus 401 (17.2%), and Potadoma moerchi 336 (14.4%). Freshwater snails were more abundant at the beginning of the rainy season (March-May) than during heavy rainfall (July-October). The environmental conditions of the study area supported the occurrence of these snail species. Although some species of these snails are edible, others can serve as intermediate hosts for parasitic flatworms, which requires urgent attention. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Nigerian Journal of Parasitology. 2024/03, Vol. 45, Issue 1, p135
  • Document Type:Article
  • Subject Area:Anatomy and Physiology
  • Publication Date:2024
  • ISSN:1117-4145
  • DOI:10.4314/njpar.v45i1.15
  • Accession Number:176577300
  • Copyright Statement:Copyright of Nigerian Journal of Parasitology is the property of Nigerian Society of Parasitology and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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