Work

Hydrographic Nodality as Index for Predicting Fish Species Richness in West African Riverine Ecosystems

Year: 2024

Type: article

Abstract: The objective of this paper is to present the hydrographic nodality (N) and fish species richness (FSR) to evaluate the N-FSR relationships for West African riverine ecosystems using six Predictive Expressions (the Linear Line, Power Curve, Exponential Curve, Logarithmic Curve, Parabola and Cubic Curves). Of these models, the exponential curve, cubic curve, logarithmic curve and parabola curve were found to be adequate for FSR prediction in terms of their high degree of fitness to the data points and high forecasting efficiencies. These are given respectively as: FSR = 47.811e0.0102N, FSR = 0.0035N3 – 1.0029N2 +78.995N + 155.62; FSR = 16.02LnN +78.92; and FSR = 0.2191N2 +48.118N + 292.92.

Source: Journal of applied science and environmental management

DOI: 10.4314/jasem.v28i12.2

Authors: R. P. King, A. O. Ekwu, I. E. Ekpo

Institution: University of Uyo

Language: English

Topic: Fish Ecology and Management Studies

Subfield: Nature and Landscape Conservation

Field: Environmental Science

Domain: Physical Sciences

SDG: Clean water and sanitation

Open Access status: diamond

OpenAlex ID: W4409164436

FWCI: 0.304

Cites:

Cited by: 1

Related to: 10