This study focus on land use-land cover changes relation to the multidimensional characteristics of spatial and temporal patterns of land dynamics and social practices. The objectives are to characterize the dynamics of land-use and land-cover changes from 1992 to 2015, and to identify the drivers of deforestation and land degradation. Nine (09) types of classes were identified: humid vegetation (HV), savanna/wooded savanna (WS), savanna/shrub savanna (SSS), shrub savanna (SS), mangrove (MA), grass savanna (GS), cropland (CP), water (WA), and bare soil (BS). The process of change was analysed within a 5614.6 ha which includes the Patako protected area. The results have shown significant changes in land use-land cover for more than two decades (1992 to 2015). A high variability of land cover transfer was recorded between periods and class categories. At least, 55% of the HV changed to WS that was manifested by a loss of 16% during the first decade. The most important decline in area was recorded annually within the HV (4.8%), and the WS (2.6%), while the SSS experienced a substantial annual increase of 0.5%. The appearance of the SS (10.3%), during the last fifteen years, is a witness to degradation process as a result of anthropogenic pressure mainly for subsistence raisons. This pressure resulted to a conversion of small forested land to agricultural land on the boundary of the protected area. Tree cover represented 99.4% of the entire forest area in 1992, 97.4% in 2010, and slightly more (+1.2%) in 2015. According to this evolution, the annual rate of deforestation was estimated to 0.09% with an average of 0.11±0.08% for the three defined periods. The drivers leading to changes in land use-land cover stresses the complexity that is related to sustainable management of protected areas. Urgent action is necessary to reduce loss of biodiversity due to deforestation and land degradation. For this purpose, a particular attention must be paid to the implementation of the Patako management plan under a Reducing Emissions from Deforestation and Forest Degradation (REDD+) project.
Published in | American Journal of Environmental Protection (Volume 4, Issue 6) |
DOI | 10.11648/j.ajep.20150406.17 |
Page(s) | 306-317 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2015. Published by Science Publishing Group |
Land Use Change, Savanna, Saloum Delta, West Africa
[1] | FAO, 2010. Global Forest Resource Assessment. Food and Agriculture Organization of the United Nations (Ed.), Rome, pp. 378. |
[2] | Houghton, R., 2012. Carbon emissions and the drivers of deforestation and forest degradation in the tropics. Current Opinion in Environmental Sustainability 4, 1–7. |
[3] | Hansen, M.C., Potapov, P.V., Moore, R., Hancher, M., Turubanova, S.A., Tyukavina, A., Thau, D., Stehman, S.V., Goetz, S.J., Loveland, T.R., Kommareddy, A., Egorov, A., Chini, L., Justice, C.O., Townshend, J.R., 2013. High-resolution global maps of 21st-century forest cover change. Science 342, 850–853. |
[4] | Huang, B., Babcock, H., Zhuang, X., 2010. Breaking the diffraction barrier: super-resolution imaging of cells. Cell 143, 1047–1058. |
[5] | Hansen, J., Ruedy, R., Sato, M., Lo, K., 2010. Global surface temperature change. Reviews of Geophysics 48, 1–15. |
[6] | Kadioğullari, A.İ., Sayin, M.A., Çelįk, D.A., Borucu, S., Çįl, B., Bulut, S., 2014. Analysing land cover changes for understanding of forest dynamics using temporal forest management plans. Environmental Monitoring and Assessment 186, 2089–2110. |
[7] | FAO, 2005. Global Forest Resource Assessment 2005. Food and Agriculture Organization of the United Nations (Ed.), Forestry Papers. Rome, pp. 147. |
[8] | Mbow, C., Nielsen, T.T. Rasmussen, K., 2000. Savanna fires in East-Central Senegal: distribution patterns, resource management and perceptions. Human Ecology 28, 561–583. |
[9] | Mbow, C., Nielsen, T.T., 2009. Senegal case study. SAFNet, Africa environment outlook case studies: impacts of fires on the environment (UNEP and SARDC). Nairobi-Kenya, UNEP-AEO: 48. |
[10] | Brink, A.B., Eva, H.D., 2009. Monitoring 25 years of land cover change dynamics in Africa: a sample based remote sensing approach. Applied Geography 29, 501–512. |
[11] | Clevers, J., Bartholomeus, H., Müchers, S., de Witt, A., 2004. Land cover classification with the Medium Resolution Imaging Spectrometer (MERIS). EARSeL eProceedings 3. |
[12] | Tappan, G.G., Sall, M., Wood, E.C., Cushing, M., 2004. Ecoregions and land cover trends in Senegal. Journal Arid Environment 59, 427-462. |
[13] | Mbow, C., Mertz, O., Diouf, A., Rasmussen, K., Reenberg, A., 2008. The history of environmental change and adaptation in Eastern Saloum, Senegal: driving forces and perceptions. Global and Planetary Change 64, 210–221. |
[14] | Christensen, S.N., 2010. Socio-economic and ecological determinants of local scale tree distribution, diversity and dynamics in agro ecosystems in West-central Senegal. Master thesis, Aarhus University, 19 p. |
[15] | Hammi S, Simonneaux V, Alifriqui M, Auclair L, Montes N, 2007. Evolution des recouvrements forestiers et de l’occupation des sols entre 1964 et 2002 dans la haute vallée des Ait Bouguemez (Haut Atlas central, Maroc). Sécheresse 18: 271-7. |
[16] | Aubreville A, 1957. Accord de Yangambi sur la nomenclature des types africains de vegetation. Bois et Forets des Tropiques 51: 23-7. |
[17] | De Wispelaere G, 2002. Cartographie de la végétation du complexe du « W ». Montpellier: Cirad editions. |
[18] | Lambin, E.F., Geist, J.H., Lepers, E., 2003. Dynamics of land-use and land-cover in tropical regions. Annual Review of Environmental Resources 28, 205-241. |
[19] | Sambou, H., Sambou, B., Diaw, A.T., Mbow, C., Traore, V., 2014. Remote Sensing Mapping of the Rice Field and Vegetal Cover and the Impacts of Soil Factors on Herbaceous in the Sub-Watershed of Boutolate (Lower Casamance, Senegal). American Journal of Environmental Protection, 3, 73-82. |
[20] | FAO, Food and Agriculture Organization (2007). Manual On Deforestation, Degradation, And Fragmentation Using Remote Sensing And GIS. Strengthening Monitoring, Assessment and Reporting on Sustainable Forest Management In Asia. Food and Agriculture Organization of the United Nations. Working Paper No. 5. Italy Rome. |
[21] | Puyravaud, J.P., 2003. Standardizing the calculation of the annual rate of deforestation. Forest Ecology and Management 177, 593–596. |
[22] | Jezching, T., Sticklen, J., Jain, A.K., 1991. Knowledge-based segmentation of Landsat images. IEEE Transactions on Geoscience and Remote Sensing: 222–232. |
[23] | Foody, G.M., 2002. Status of land cover classification accuracy assessment. Remote Sensing of Environment 80, 185–201. |
[24] | Hansen, M.C., Roy, D.P., Lindquist E., Adusei, B., Justice, C.O., Altstatt, A., 2008. A method for integrating MODIS and Landsat data for systematic monitoring of forest cover and change in the Congo Basin. Remote Sensing of Environment 112, 2495–2513. |
[25] | Corey, B., Lawrence, R., Montagne, C., Patten, D., 2006. Mapping wetlands and riparian areas using Landsat ETM+ imagery and decision-tree-based models. Wetlands 26, 465–474. |
[26] | Gong, P., Wang, J., Le, Y., Zhao, Y., Zhao, Y., 2013. Finer resolution observation and monitoring of global land cover: first mapping results with Landsat TM and ETM+ data. International Journal of Remote Sensing 34, 2607–2654. |
[27] | Hepinstall, J.A., Sader, S.A., 1997. Using Bayesian statistics, thematic mapper satellite imagery, and breeding bird survey data to model bird species probability of occurrence in Maine. Photogrammetric Engineering and Remote Sensing 63, 1231-1237. |
[28] | Sperduto, M.B., Congalton, R.G., 1996. Predicting rare orchid (small whorled Pogonia) habitat using GIS. Photogrammetric Enginnering and Remote Sensing 62, 1269-1279. |
[29] | Mbow, C., Chhin, S., Sambou, B., Skole, D., 2013. Potential of dendrochronology to assess annual rates of biomass productivity in savanna trees of West Africa. Dendrochronologia 31, 41–51. |
[30] | Guiro, I., Mbow, C., Baret, F., Diaw, A.T., 2012. Dynamique de l’occupation du sol de la forêt classée de Patako et de sa périphérie de 1972 à 2002. Revue de Géographie du Laboratoire Leïdi 10, 257. |
[31] | Curran, L.M., Trigg, S.N., McDonald, A.K., Astiani, D., Hardiono, Y.M., Siregar, P., Kasischke, E., 2004. Lowland forest loss in protected areas of Indonesian Borneo. Science 303, 1000–1003. |
[32] | Fischer, J., Lindenmayer, D.B., 2007. Landscape modification and habitat fragmentation: a synthesis. Global Ecology and Biogeography 16, 265–280. |
[33] | Dore, M.H.I., 2005. Climate change and changes in global precipitation patterns: What do we know? Environment International 31, 1167–1181. |
[34] | Sarr, B., 2011. Return of heavy downpours and floods in a context of changing climate. Climate change in the Sahel. A challenge for sustainable development. AGRHYMET Monthly Bulletin (Special issue), pp, 9-11. |
[35] | Edagbo, D.E., Ajiboye, T.O., Borokini, T.I., Ighere, D.A., Alowonle, A., Michael, C., 2013. A study of the conservation status of Citrus sinensis as affected by the African Mistketoe, Tapinanthus bangwensis in Moor plantation, Ibadan, South-West, Nigeria. International Journal Current Agricultural Sciences 3, 5–9. |
[36] | Mon, M.S., Mizoue, N., Htun, N.Z., Kajisa, T., Yoshida, S., 2012. Factors affecting deforestation and forest degradation in selectively logged production forest: a case study in Myanmar. Forest Ecology and Management 267, 190-198. |
[37] | Madubansi, M., Shackleton, C.M., 2006. Changing energy profiles and consumption patterns following electrification in five rural villages, South Africa. Energy Policy 34, 4081–4092. |
[38] | Van der Plas R.J., Ali Abdel-Hamid, M. 2005. Can the woodfuel supply in sub-Saharan Africa be sustainable? The case of N’Djamena, Chad. Energy Policy 33, 297–306. |
[39] | Ndayambaje, J.D., Mohren, G.M.J., 2011. Fuelwood demand and supply in Rwanda and the role of Agroforestry. Agroforestry Systems 83, 303–320. |
[40] | Hiemstra-van der Horst, G., Hovorka A.J., 2009. Fuelwood: the other renewable energy source for Africa? Biomass and Bioenergy 33, 1605 –1616. |
[41] | Shi, M., 2008. Literature Review : Changes and feedbacks of land-use and land-cover under global change 15 pp. |
[42] | Lykke, A.M., 1998. Assessment of species composition change in savanna vegetation by means of woody plants size class distributions and local information. Biodiversity and Conservation 7, 1261–1275. |
[43] | Lambin, E.F., 1999. Monitoring forest degradation in tropical regions by remote sensing: some methodological issues. Global Ecology and Biogeography 8, 191–198. |
[44] | Frasera, E.D.G., Dougilla, A.J., Mabeeb, W.E., Reeda, M., McAlpine, P., 2006. Bottom up and Top down: Analysis of participatory processes for sustainability indicator identification as a pathway to community empowerment and sustainable environmental management. Journal of Environmental Management 78, 114–127. |
[45] | Kotwal, P.C., Kandari, L.S., Dugaya, D., 2008. Bioindicators in sustainable management of tropical forests in India. African Journal of Plant Science 2, 99–104. |
[46] | Tappan, G.G., Hadj, A., Wood, E.C., Lietzow, R.W., 2000. Use of argon, corona, and landsat imagery to assess 30 years of land resource changes in West-central Senegal. Photogrammetric Engineering and Remote Sensing 66, 727–736. |
[47] | Lloret, F., Estevan, H., Vayreda, J., Terradas, J., 2005. Fire regen- erative syndromes of forest woody species across fire and climatic gradients. Oecologia 146, 461–468. |
[48] | Sow, M., Mbow, C., Hély, C., Fensholt, R., Sambou, B., 2013. Estimation of herbaceous fuel moisture content using vegetation indices and land surface temperature from MODIS data. Remote Sensing 5, 2617–2638. |
[49] | Mbow, C., Goı̈ta, K., Bénié, G.B., 2004. Spectral indices and fire behavior simulation for fire risk assessment in savanna ecosystems. Remote Sensing of Environment 91, 1–13. |
[50] | Uneke, C., 2009. Deforestation and malaria in sub-Saharan Africa: an overview. The Internet Journal of Tropical Medicine 6, 1. |
[51] | Diop, M., Sambou, B., Goudiaby, A., Guiro, I., Niang-Diop, F., 2011. Ressources végétales et préférences sociales en milieu rural sénégalais. Bois et Forêts des Tropiques 4, 57–68. |
APA Style
Simon Sambou, Anne Mette Lykke, Hyacinthe Sambou, Idrissa Guiro, Bienvenu Sambou, et al. (2015). Land Use-Land Cover Change and Drivers of Deforestation in the Patako Protected Area (Center-West of Senegal). American Journal of Environmental Protection, 4(6), 306-317. https://doi.org/10.11648/j.ajep.20150406.17
ACS Style
Simon Sambou; Anne Mette Lykke; Hyacinthe Sambou; Idrissa Guiro; Bienvenu Sambou, et al. Land Use-Land Cover Change and Drivers of Deforestation in the Patako Protected Area (Center-West of Senegal). Am. J. Environ. Prot. 2015, 4(6), 306-317. doi: 10.11648/j.ajep.20150406.17
AMA Style
Simon Sambou, Anne Mette Lykke, Hyacinthe Sambou, Idrissa Guiro, Bienvenu Sambou, et al. Land Use-Land Cover Change and Drivers of Deforestation in the Patako Protected Area (Center-West of Senegal). Am J Environ Prot. 2015;4(6):306-317. doi: 10.11648/j.ajep.20150406.17
@article{10.11648/j.ajep.20150406.17, author = {Simon Sambou and Anne Mette Lykke and Hyacinthe Sambou and Idrissa Guiro and Bienvenu Sambou and Cheikh Mbow}, title = {Land Use-Land Cover Change and Drivers of Deforestation in the Patako Protected Area (Center-West of Senegal)}, journal = {American Journal of Environmental Protection}, volume = {4}, number = {6}, pages = {306-317}, doi = {10.11648/j.ajep.20150406.17}, url = {https://doi.org/10.11648/j.ajep.20150406.17}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajep.20150406.17}, abstract = {This study focus on land use-land cover changes relation to the multidimensional characteristics of spatial and temporal patterns of land dynamics and social practices. The objectives are to characterize the dynamics of land-use and land-cover changes from 1992 to 2015, and to identify the drivers of deforestation and land degradation. Nine (09) types of classes were identified: humid vegetation (HV), savanna/wooded savanna (WS), savanna/shrub savanna (SSS), shrub savanna (SS), mangrove (MA), grass savanna (GS), cropland (CP), water (WA), and bare soil (BS). The process of change was analysed within a 5614.6 ha which includes the Patako protected area. The results have shown significant changes in land use-land cover for more than two decades (1992 to 2015). A high variability of land cover transfer was recorded between periods and class categories. At least, 55% of the HV changed to WS that was manifested by a loss of 16% during the first decade. The most important decline in area was recorded annually within the HV (4.8%), and the WS (2.6%), while the SSS experienced a substantial annual increase of 0.5%. The appearance of the SS (10.3%), during the last fifteen years, is a witness to degradation process as a result of anthropogenic pressure mainly for subsistence raisons. This pressure resulted to a conversion of small forested land to agricultural land on the boundary of the protected area. Tree cover represented 99.4% of the entire forest area in 1992, 97.4% in 2010, and slightly more (+1.2%) in 2015. According to this evolution, the annual rate of deforestation was estimated to 0.09% with an average of 0.11±0.08% for the three defined periods. The drivers leading to changes in land use-land cover stresses the complexity that is related to sustainable management of protected areas. Urgent action is necessary to reduce loss of biodiversity due to deforestation and land degradation. For this purpose, a particular attention must be paid to the implementation of the Patako management plan under a Reducing Emissions from Deforestation and Forest Degradation (REDD+) project.}, year = {2015} }
TY - JOUR T1 - Land Use-Land Cover Change and Drivers of Deforestation in the Patako Protected Area (Center-West of Senegal) AU - Simon Sambou AU - Anne Mette Lykke AU - Hyacinthe Sambou AU - Idrissa Guiro AU - Bienvenu Sambou AU - Cheikh Mbow Y1 - 2015/12/03 PY - 2015 N1 - https://doi.org/10.11648/j.ajep.20150406.17 DO - 10.11648/j.ajep.20150406.17 T2 - American Journal of Environmental Protection JF - American Journal of Environmental Protection JO - American Journal of Environmental Protection SP - 306 EP - 317 PB - Science Publishing Group SN - 2328-5699 UR - https://doi.org/10.11648/j.ajep.20150406.17 AB - This study focus on land use-land cover changes relation to the multidimensional characteristics of spatial and temporal patterns of land dynamics and social practices. The objectives are to characterize the dynamics of land-use and land-cover changes from 1992 to 2015, and to identify the drivers of deforestation and land degradation. Nine (09) types of classes were identified: humid vegetation (HV), savanna/wooded savanna (WS), savanna/shrub savanna (SSS), shrub savanna (SS), mangrove (MA), grass savanna (GS), cropland (CP), water (WA), and bare soil (BS). The process of change was analysed within a 5614.6 ha which includes the Patako protected area. The results have shown significant changes in land use-land cover for more than two decades (1992 to 2015). A high variability of land cover transfer was recorded between periods and class categories. At least, 55% of the HV changed to WS that was manifested by a loss of 16% during the first decade. The most important decline in area was recorded annually within the HV (4.8%), and the WS (2.6%), while the SSS experienced a substantial annual increase of 0.5%. The appearance of the SS (10.3%), during the last fifteen years, is a witness to degradation process as a result of anthropogenic pressure mainly for subsistence raisons. This pressure resulted to a conversion of small forested land to agricultural land on the boundary of the protected area. Tree cover represented 99.4% of the entire forest area in 1992, 97.4% in 2010, and slightly more (+1.2%) in 2015. According to this evolution, the annual rate of deforestation was estimated to 0.09% with an average of 0.11±0.08% for the three defined periods. The drivers leading to changes in land use-land cover stresses the complexity that is related to sustainable management of protected areas. Urgent action is necessary to reduce loss of biodiversity due to deforestation and land degradation. For this purpose, a particular attention must be paid to the implementation of the Patako management plan under a Reducing Emissions from Deforestation and Forest Degradation (REDD+) project. VL - 4 IS - 6 ER -