Influence of Climate Variability on The Dynamics of Land Use Land Cover in the Sub-Soudanian Sector: The Case of the Badenou Classified Forest, Northern Côte D'ivoire
Authors/Creators
- 1. West Africa Science Service Centre on Climate Change and Adapted Land Use (WASCAL), Graduate Research Programme on Climate Change and Biodiversity, Université Félix Houphouët-Boigny, 22 BP 582 Abidjan 22, Côte d'Ivoire
- 2. West African Science Service Centre on Climate Change and Adapted Land Use (WASCAL), Graduate Research Programme on Climate Change and Land Use, Kwame Nkrumah University of Science and Technology (KNUST), Kumasi, Ghana
- 3. Département de Biologie Végétale, UFR Sciences Biologiques, Université Peleforo Gon Coulibaly (UPGC), BP 1328 K3Département de Biologie Végétale, UFR Sciences Biologiques, Université Peleforo Gon Coulibaly (UPGC), BP 1328 Korhogo, Côte d'Ivoire.orhogo, Cô
- 4. Natural Environment Laboratory and Biodiversity Conservation, Department of Bioscience Université Félix Houphouët-Boigny, 22 BP 582 Abidjan 22, Côte d'Ivoire
- 5. Laboratory of Systematics, Herbariums and Botanical Muses, National Floristic Center, Department of Bioscience Université Félix Houphouët-Boigny, 22 BP 582 Abidjan 22, Côte d'Ivoire
Description
Abstract :
In a context of global change marked by climate evolution, tropical forest ecosystems are under increasing pressure that threatens their integrity and biodiversity. This study quantifies the impact of climatic parameters on the evolution of land use/cover in the Badenou Classified Forest (northern Côte d’Ivoire) between 1990 and 2022. By cross-referencing Landsat images and climatic data (temperatures, precipitation, PDSI, SPI) via Google Earth Engine, and applying statistical tests (Spearman correlations, PCA, regressions), significant relationships were highlighted. The results show a distinct vulnerability of natural ecosystems to climatic stresses. Dense dry forests and galleries regress with drought (PDSI: ρ = -0.502, p = 0.003). The low density shrub savannah declines sharply with rising temperatures (Tmax: ρ = -0.613, p < 0.0001). Water bodies decrease during dry periods (PDSI: ρ = -0.545, p = 0.001). Anthropogenic dynamics present contrasting responses. Fallow lands decrease with temperature (Tmax: ρ = -0.413, p = 0.017), while perennial crops expand their reach under these same conditions (Tmax: ρ = +0.413, p = 0.017). An increase in bare soils and built-up areas is correlated with humid conditions (SPI: ρ = +0.362, p = 0.039). This research demonstrates that climatic variables, particularly temperatures and drought indices, are major explanatory factors for landscape transformations. These quantified results provide an essential scientific basis for the development of adaptive management policies, reconciling biodiversity preservation and local development in a context of global change.
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