Floristic Diversity and Net Primary Production in the M’fimi Basin (DRC): Correlational Analysis and Ecological Implications
DOI:
https://doi.org/10.59228/rcst.026.v5.i2.262Keywords:
Biodiversity, Biodiversity, Primary Production, Net Primary Production (NPP), ANOVA and Correlation, Aquatic EcosystemsAbstract
Net primary production (NPP) is a key indicator of ecosystem health and agricultural sustainability. In the context of the Democratic Republic of Congo, specifically the M’fimi River watershed in Mai-Ndombe Province, this study examines the impact of species diversity on fresh forage mass and water content, key elements for crop productivity. The main objective of this study is to analyze how the number of plots influences these essential variables and to assess the correlative relationships between biodiversity and primary production. The methodology employed consists of a statistical evaluation using analysis of variance (ANOVA) and Pearson's correlation method. Data were collected from 15 numbered plots, in which fresh forage mass, dry mass, and water content were measured. A DataFrame was created using Python Anaconda libraries such as pandas, enabling in-depth analysis of the relationships between the different variables. The results show no significant correlation between the number of plots and the mass of fresh forage, with a p-value of 0.8896. In contrast, a moderate positive correlation (r = 0.559, p = 0.030) was observed between the number of species per plot and the mass of forage, highlighting the importance of biodiversity for crop production. A negative trend was also identified, indicating that plots located in areas less favorable to biodiversity exhibit lower fresh forage production. This study recommends appropriate natural resource management and the improvement of plant diversity to maximize biomass production. These results underscore the need for an integrated approach that considers environmental conditions to optimize agricultural productivity and ensure ecosystem sustainability. The lessons learned from this research highlight the importance of biodiversity in crop productivity, which could contribute to sustainable agricultural development strategies in the DRC.
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Aastveit, A. H., & Martens, H. (1986). Interpreting ANOVA interactions by partial least squares regression. Biometrics, 829–844. Adama, S., & Souleymane, S. (2025). Diversity and distribution of flora in the buffer zones of agropastoral dams in the Poro region (Ivory Coast). Ecosystems and Landscapes Journal, 5, 1–12. Ahouangan, B., Houinato, M., Ahamide, B., Agbossou, E., & Sinsin, B. (2010). Comparative study of regrowth productivity and carrying capacity of hemicryptophytes exposed to vegetation fires in irrigated and non-irrigated plots in the W-Benin Transboundary Biosphere Reserve. International Journal of Biological and Chemical Sciences, 4(2), 479–490. Amegnaglo, K. B., Dourma, M., Akpavi, S., Diwediga, B., Wala, K., Batawila, K., ... & Akpagana, K. (2018). Pasture biomass in the Mono plain in Togo: diversity, nutritional and forage values. Journal of Scientific Research, University of Lomé, 20(3), 47–64. Amrani, O., & Chehma, A. E. (2020). Plantations of Atriplex canescens for the restoration of degraded rangelands in the Algerian steppe. Journal of Tropical Animal Husbandry and Veterinary Medicine, 73(2), 113–121.
Bambara, D., Ouédraogo, D. B., Nacro, H. B., & Sedogo, M. P. (2017). Evaluation of cereal productivity of soils in semi-rural zones: the case of villages in the Donsin airport project area, Burkina Faso. Africa Science, 13(5), 197–209. Diatta, O., Salgado, P., Diatta, S., Ndiaye, O., Ngom, D., Bastianelli, D., Assouma, M. H., Ickowicz, A., & Taugourdeau, S. (2023). Short-term dynamics of standing biomass and digestibility of herbaceous forage under grazing or protection in the Senegalese Sahel. Journal of Tropical Animal Husbandry and Veterinary Medicine, 76, 1–7. Idrissa, I., Soumana, I., Alhassane, A., Morou, B., & Mahamane, A. (2020). Characterization of forage resources in the pastoral enclave of Dadaria (Mainé-Soroa, Diffa) in Niger. Journal of Tropical Animal Husbandry and Veterinary Medicine, 73(3), 179–189. Irwin, J. R., & McClelland, G. H. (2002). Misleading heuristics and multiple regression models with moderator variables. Research and Applications in Marketing (French Edition), 17(2), 87–101. Lakhyar-Ennajari, A. Z. (2021). Contribution to modeling mobility autonomy and participation in public life of cooperative members. Moroccan Journal of Contemporary Thought, (7). Mampuya, A. N., N’zau, C. U. D. M., Ntumba, J. K., & Dituba, G. N. (2026). Use of artificial intelligence for modeling the flows of the Kalamu and Congo rivers in Boma for energy security. Congolese Journal of Science and Technology, 5(1), 181-191. Mampuya Nzita, A., Umba-di-Mbudi, N. Z., Makanzu Imwangana, F., & Dituba Ngoma, G. (2025). Comparison of the performance of PSO and GA algorithms in predictive modeling of flood-related deaths in Boma. Revue de génie hydraulique et hydrique, 2(2), 125-144. Manzocchi, E., Huguenin-Elie, O., Probo, M., & Wyss, U. (2024). Multifactor analysis of silage quality from intensively used permanent pastures. Swiss Agronomic Research, 15, 29–37. Massama-Esso, Agbamaro. (2025). Integrated analysis of flora, weed diversity, and soil carbon storage in three tropical market gardening agroecosystems in southern Togo. Congolese Journal of Science & Technology, 4, 457–468. Mensah, E., Kindomihou, V., Vodouhe, D. S., Saidou, A., Aiyelaagbe, I., & Sinsin, B. (2025). Functional strategies of Cymbopogon schoenanthus (Desert Lemongrass), a Sudanian forage grass grown under compost in southern Benin. Moroccan Journal of Agronomic and Veterinary Sciences, 13(2), 110–118. Ndayishimiye, J., Stoffelen, P., Bigendako, M., Lejoly, J., Cannière, C., & Bogaert, J. (2013). Identifying potential biodiversity conservation areas: an overview of a methodological approach based on species diversity and endemics. Bulletin of the National Institute for Environmental Conservation, 11, 20–30. Obenakou, T. (2024). Floral diversity and characterization of vegetation formations in traditional worship sites in Ouidah and Kpomassè, southwestern Benin. Ecosystems and Landscapes Journal, 4, 1–16. Ouattara, B., Sangare, M., & Coulibaly, K. (2016). Options for sustainable intensification of agricultural and forage production in the agropastoral system of cotton-growing areas in Burkina Faso. Natural and Applied Sciences, 2, 133–149. Ouattara, Y., Traore, M., Gbedie, A., Aïdara, S., Bonsson, B., Raoul, S., Akaffou, S., Boaké, K., Keli, J., & Zagbahi, J. (2018). Evaluation of agromorphological variability of three kola species. Journal of Animal & Plant Sciences, 35(2), 5674–5688. Rodríguez, A., Chabbi, A., & Louarn, G. (2025). Relationship between floral diversity of meadows, their productive performance, and carbon storage capacity. 104, 15–30. Thiebeau, P., & Recous, S. (2016). A method for quantifying crop residue biomass on soil surfaces after harvest. Agricultural Notebooks, 25(4). Vroh, B. T. A., Cissé, A., Constant, Y. A. Y., Kouamé, D., Kouao, J. K., Kouassi, B. K., & Béné, J. C. K. (2015). Relationships between diversity and aboveground biomass of tree species in traditional cocoa-based agroforests: Case of Lakota locality (Ivory Coast). African Crop Science Journal, 23(4), 311–326
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