Authors :
Akadjé-Konan Léocadie Marie-Claude
Volume/Issue :
Volume 11 - 2026, Issue 10 - October
Google Scholar :
https://tinyurl.com/f4zjvy82
DOI :
https://doi.org/10.38124/ijisrt/26Oct639
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Abstract :
The Sassandra-Dagbégo Ramsar Site, along the coast in southwestern Côte d’Ivoire, is a wetland of major ecological importance because of its forest ecosystems, associated wetlands, and hydrological regulation functions. This area is subject to increasingly intense anthropogenic pressures in connection with the exploitation of forest resources and local populations’ needs for food and well-being, resulting in numerous spatial dynamics. In this line, prospective modeling appears to be an essential tool to understand these dynamics and anticipate possible future courses of the SassandraDagbégo complex. This study aims at improving knowledge of changes that occur within the wetland by analyzing historical spatial dynamics and simulating future use of land and land-cover patterns up to 2040. So, this study is based on a multi-temporal analysis of Landsat imagery that covers the period 2015-2025, combined with Geographic Information System tools and predictive modeling of three scenarios based on Markov chains. The retrospective analysis results show a decreas in the formations of forest to the order of croplands and other anthropized areas. The projections of 2040 significantly show differentiated directions, presenting an increasing artificialization as if nothing has happened, considerably retracteted by conservation and restoration policies. The restoration scenario stands out through the recovery of the mangrove.
Keywords :
Sassandra-Dagbégo Complex; Remote Sensing; GIS; Spatial Dynamics; Prospective Modeling; Scenario; Wetland.
References :
- G. Eason, B. Noble, and I.N. Sneddon, “On certain integrals of Lipschitz-Hankel type involving products of Bessel functions,” Phil. Trans. Roy. Soc. London, vol. A247, pp. 529-551, April 1955. (references)
- S. BRUNEL, “Sustainable Development,” Presses Universitaires de France, Que sais-je? Collection, Paris 2010, 10p.
- D. NOIN, “The Population of the World’s Coasts,” L'information géographique, Sedes Paris, 1999, vol.63, no.2, pp. 65–73.
- K. L. ERWIN, “Wetlands and Global Climate Change: The Role of Wetland Restoration in a Changing World,” Wetlands Ecology and Management, vol. 17, no.1, pp. 71-84.
- W. R. Moomaw, G. L. Chmura, G. T. Davies, C. M. Finlayson, B. A. Middleton, S. M. Natali, N. T. Roulet & A. E. Sutton-Grier, “Wetlands in a Changing Climate: Science, Policy and Management,” Wetlands, vol. 38, no.2, 2018, pp. 183–205.
- W. J Junk, M.T.F. Piedade, R. L. ourival, F. Wittmann, P. Kandus, L. D. Lacerda R. L. Bozelli, F. A. Esteves, C. Nunes da Cunha, L. Maltchik, J. Schöngart, Y. Schaeffer-Novelli & A. A. AGOSTINHO, ‘‘Brazilian wetlands: Their definition, delineation, and classification for research, sustainable management, and protection. Aquatic Conservation: Marine and Freshwater Ecosystems,’’ vol. 24, n°1,2014, pp. 5–22.
- M. Francoeur, 'Shrimp Farming: A Threat to Mangroves,' master's thesis, University of Sherbrooke, Quebec, 2009, 93 p.
- K. H. Kouassi, Y. A. N’Go, & G. F. Zro Bi, 'Spatio-temporal dynamics of natural habitats in the Sassandra-Dagbégo Ramsar site using remote sensing,' Innovation International Journal and Scientific Research, 2016, no. 27, pp. 243-249.
- FDR Sassandra-Dagbego, 2005
- R. Pontius, E. Shusas, and M. Mceachern, 'Detection of significant categorical land-cover changes considering persistence,' Agriculture, Ecosystems & Environment, vol. 101, pp. 251-268, https://doi.org/10.1016/j.agee.2003.09.008
- J. R. Landis and G.G. KOCH, ‘‘The Measurement of Observer Agreement for Categorical Data”. Biometrics, vol. 33, no. 1, pp. 159–174
- J. M. K. Peters & J. M. Kusimi, ‘‘Changes in wetland and other landscape elements of the Keta Municipal area of Ghana». Journal of Coastal Conservation’’, vol.27, n°1, 1977, pp. 1-14K.
- D. Kpedenou, T. Boukpessi, and T. K. Tchamie, ‘‘Quantification of land use changes in the Yoto prefecture (southeastern Togo) using Landsat satellite imagery,’’ Sciences and Environment Review of the University of Lomé, vol., no. 13, 2016, pp. 137-309.
- C.Y. Oduro, P.A. Anokye, et M.A. Nanor, “Morphological patterns and drivers of urban growth on Africas’S wetland landscapes: Insights from the Densu Delta Ramsar Site, Ghana.” Sustainability, vol. 16, n°15, 2024, pp 63-72
The Sassandra-Dagbégo Ramsar Site, along the coast in southwestern Côte d’Ivoire, is a wetland of major ecological importance because of its forest ecosystems, associated wetlands, and hydrological regulation functions. This area is subject to increasingly intense anthropogenic pressures in connection with the exploitation of forest resources and local populations’ needs for food and well-being, resulting in numerous spatial dynamics. In this line, prospective modeling appears to be an essential tool to understand these dynamics and anticipate possible future courses of the SassandraDagbégo complex. This study aims at improving knowledge of changes that occur within the wetland by analyzing historical spatial dynamics and simulating future use of land and land-cover patterns up to 2040. So, this study is based on a multi-temporal analysis of Landsat imagery that covers the period 2015-2025, combined with Geographic Information System tools and predictive modeling of three scenarios based on Markov chains. The retrospective analysis results show a decreas in the formations of forest to the order of croplands and other anthropized areas. The projections of 2040 significantly show differentiated directions, presenting an increasing artificialization as if nothing has happened, considerably retracteted by conservation and restoration policies. The restoration scenario stands out through the recovery of the mangrove.
Keywords :
Sassandra-Dagbégo Complex; Remote Sensing; GIS; Spatial Dynamics; Prospective Modeling; Scenario; Wetland.