Characterization of Fish Spawning Grounds near the Likouala-Aux-Herbes River, Lac Tele Community Reserve (LTCR), Republic of Congo, for Sustainable Wetland Management

Eric Bertin Ndzana Biloa (), Victor Mamonekene and Jean-Claude Micha
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Eric Bertin Ndzana Biloa: Regional Post-University School of Integrated Management of Tropical Forests and Lands (ERAIFT), Campus UNIKIN BP., Kinshasa 15 373, Democratic Republic of the Congo
Victor Mamonekene: National High School of Agronomy and Forectry, University Marien Ngouabi, Brazzaville BP 69, Congo
Jean-Claude Micha: Faculty of Sciences, Department of Biology, University of Namur, (UNamur), B-5000 Namur, Belgium

Sustainability, 2024, vol. 16, issue 8, 1-18

Abstract: A land use analysis of Lac Télé Community Reserve (LTCR) using the Landsat Thematic Mapper (TM), ETM+ images (Enhance Thematic Mapper), and OLI images highlighted significant changes in plant cover between 1986, 1999, and 2019. The rate of forest area increased by 5% from 1986 to 1999 but decreased by 3% from 1999 to 2019 for the entire LTCR, benefitting the growth of savannahs, which respectively increased by 5% between 1986 to 1999 and 12% between 1999 to 2019. The conversion of this forest area to savannah due to the practice of slash and burn agriculture can be justified by the opening of this forest area, but it contributes greatly to the degradation of fish species spawning grounds in the Likouala-aux-Herbes River. According to characterization of the 151 spawning grounds identified, the physical and chemical water parameters, which have been defined as temperature (28.13 °C), hydrogen potential (4.23), and depth (3.34), did not change significantly in the study villages between July and September 2019. The unregistered ichthyological diversity observed during the study in the seven pilot villages, is due to the diversity of the microhabitats noted in the villages of the LTCR, especially in the villages of Botongo, Mossengue, and Bouanela, where the indices of ichthyological diversity were the highest.

Keywords: remote sensing; geographic information systems (GIS); fish biodiversity (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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