Fish Community Composition, Abundance and Distributions in Okura River in Dekina Local Government Area, Kogi State, Nigeria

Fish communities can provide valuable insights into the ecological integrity of aquatic ecosystems as they are highly sensitive indicators of water quality. Consequently, the objective of this paper is to investigate the fish community composition, abundance and distribution in the Okura River in Dekina Local Government Area (LGA), Kogi State, Nigeria using appropriate standard procedures. Our results showed a total of seven (7) fish species belonging to six families and five orders. The variation in the Simpson, Shannon, weinner, dominance and evenness was not significantly different in the three dominant fish species encountered in the Okura River. The index measured for fish species, showed slight difference among them. The variation in the Simpson, Shannon, Weiner and Evenness was not significant different in the three dominant fish species in the Okura River. The Simpson index ranged from 0.953 in E. callipterus to 0.957 in T. zilli, the Shannon index ranges from 3.102 in E. callipterus to 3.156 in T. zilli. The fish community composition indicates that the fish communities are mature and stable. Periodic checks of the Okura River using fish communities as indicators of water quality can provide a framework for monitoring the ecological health of the water body.

Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2025-04-01
Primary Topic
Plant Taxonomy and Phylogenetics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Fish Community Composition, Abundance and Distributions in Okura River in Dekina Local Government Area, Kogi State, Nigeria

SHILAP Revista de lepidopterología
Plant Taxonomy and Phylogenetics
article

Fish Community Composition, Abundance and Distributions in Okura River in Dekina Local Government Area, Kogi State, Nigeria

article en

Abstract

Fish communities can provide valuable insights into the ecological integrity of aquatic ecosystems as they are highly sensitive indicators of water quality. Consequently, the objective of this paper is to investigate the fish community composition, abundance and distribution in the Okura River in Dekina Local Government Area (LGA), Kogi State, Nigeria using appropriate standard procedures. Our results showed a total of seven (7) fish species belonging to six families and five orders. The variation in the Simpson, Shannon, weinner, dominance and evenness was not significantly different in the three dominant fish species encountered in the Okura River. The index measured for fish species, showed slight difference among them. The variation in the Simpson, Shannon, Weiner and Evenness was not significant different in the three dominant fish species in the Okura River. The Simpson index ranged from 0.953 in E. callipterus to 0.957 in T. zilli, the Shannon index ranges from 3.102 in E. callipterus to 3.156 in T. zilli. The fish community composition indicates that the fish communities are mature and stable. Periodic checks of the Okura River using fish communities as indicators of water quality can provide a framework for monitoring the ecological health of the water body.

SHILAP Revista de lepidopterología
Clean water and sanitation
Openalex Percentile: Top 42%
Plant Taxonomy and Phylogenetics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Fish Community Composition, Abundance and Distributions in Okura River in Dekina Local Government Area, Kogi State, Nigeria · SHILAP Revista de lepidopterología (2025) | TGRS Research Map | TGRS