Author(s) :

Pascal Nkoso Bakwita, André Nzita Mampuya, Constatin Ayingweu Lubini, Cush Luwesi Ngonzo.

Volume/Issue :

Abstract :

The analysis of plant resources, particularly forage species, is crucial for the sustainable management of ecosystems, especially in biodiversity-rich areas such as the M'fini River basin in the Democratic Republic of Congo. This work addresses current challenges related to the use and preservation of natural resources. The main problem studied here concerns the interaction between dry matter mass, water content, and species diversity in aquatic environments, an area still relatively unexplored in the scientific literature. The fundamental objective of this research is to evaluate the agronomic performance of different species, taking these variables into account while identifying the relationships between them. To this end, a rigorous methodology was adopted, involving systematic sampling techniques along the M'fini River and physicochemical analyses of the water. Data were collected using modern tools, and the analysis was performed using Python Anaconda software, employing robust statistical methods such as principal component analysis, as well as Kruskal-Wallis and Wilcoxon tests to determine the variables influencing ecological dynamics. The results reveal that species with significant forage mass, such as Alchornea cordifolia and Ludwigia hyssopifolia, stand out for their high capacity to produce biomass. These species also exhibit high water content, suggesting they are able to maintain favorable moisture conditions, essential for their growth. The analyses show that species with high dry matter mass, such as Vossia cuspidata and Cyperus papyrus, are particularly well-adapted to aquatic environments, playing a crucial role in water retention. This research also highlights the need for integrated approaches to better understand ecological dynamics and suggests optimized agricultural strategies adapted to regional specificities.

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