The Impact of Deforestation and Restoration Trends on Land Use and Land Cover Changes in Eastern Mau Forest Reserve, Kenya
English
DOI:
https://doi.org/10.48346/IMIST.PRSM/ajlp-gs.v8i7.54139Keywords:
Deforestation, Remote sensing, reforestation, land use change, ecological analysis, GISAbstract
Context and Background
This study aims to assess the environmental impact of Land Use and Land Cover (LULC) changes in the Eastern Mau Forest Reserve, Kenya, using remote sensing and GIS techniques. Over four decades, satellite imagery and socio-economic data were utilized to analyze the extent of deforestation, agricultural expansion, and human settlement growth. Supervised classification and NDVI analysis were conducted to evaluate the drivers and ecological implications of these changes, which threaten the forest's biodiversity and ecosystem services.
Goal and Objectives:
The primary goal of this study is to evaluate the dynamics of LULC changes and their impacts on forest sustainability and community livelihoods. Specific objectives include:
1. Mapping the extent of deforestation and vegetation recovery.
2. Assessing vegetation health using spectral indices.
3.Providing evidence-based recommendations for sustainable forest management and policy-making.
Methodology:
Spectral indices, including NDVI, were used to quantify vegetation health over time, identifying zones of degradation and recovery. GIS tools were employed for post-classification change detection to map LULC transitions. Ground truthing validated classifications, and socio-economic data were incorporated to contextualize drivers of change. Analysis revealed the interplay between population growth, agricultural practices, and conservation efforts in shaping the forest's current state.
Results:
The analysis revealed significant changes in land use and cover within the Eastern Mau Forest Reserve. Vegetation cover declined drastically, reducing from 52% in 1984 to 36% in 2002, and recovering to 42% by 2024 through reforestation initiatives. Bare soil areas increased considerably, accounting for 26% of the classified area in 2024, highlighting ongoing deforestation and degradation challenges.
Forest degradation was primarily driven by agricultural expansion, which grew from 15% in 1984 to 28% in 2024, and settlement areas that nearly doubled due to population pressure. The quantities of displaced soil increased significantly, contributing to erosion and siltation in downstream water systems. Analysis showed the degradation of aquatic habitats along riverbanks, with water bodies impacted by sedimentation and pollution caused by human activities.
References
Akotsi, E., & Gachanja, M. (2004). Changes in forest cover in Kenya's five 'Water Towers' 2000-2003.
Baldyga, T. J., Miller, S. N., Driese, K. L., & Gichaba, C. M. (2008). Assessing land cover change in Kenya's Mau Forest region using remotely sensed data. African Journal of Ecology, 46(1), 46-54.
Cherotich, F. & Letema, S. (2021). Settlement Schemes and their Implication on Eastern Mau Water Catchment, Kenya. East African Journal of Environment and Natural Resources. 4. 39-51. 10.37284/eajenr.4.1.484.
DRSRS & KFWG (2006). Changes in Forest Cover in Kenya’s Five Water Towers, 2003-2005. Nairobi: Department of Resource Surveys and Kenya Forestry Working Group.
FAO (2020). National Forest Monitoring Systems. Retrieved from http://www.fao.org/redd/areas-of-work/nationalforest-monitoring-system/en/
Githumbi, E. N., Courtney Mustaphi, C. J., & Marchant, R. (2021). Late Pleistocene and Holocene Afromontane vegetation and headwater wetland dynamics within the Eastern Mau Forest, Kenya. Journal of Quaternary Science, 36(2), 239-254. https://doi.org/10.1002/jqs.3267
IPCC (2006). 2006 Intergovernmental Panel on Climate Change Guidelines for National Greenhouse Gas Inventories.
James W. Q. (2001). Band combination for Landsat imagery. Retrieved from http://qeb.pdx.edu/~emch/ip1/bandcombinations.html
Kweyu, R., Thenya, T., Kiemo, K., & Emborg, J. (2019). The nexus between land cover changes, politics and conflict in Eastern Mau Forest complex, Kenya. Applied Geography, 114, 102115. https://doi.org/10.1016/j.apgeog.2019.102115
Lambin, E. F., & Geist, H. J. (2006). Land-use and land-cover change: Springer.
Lambin, E. F., Geist, H. J., & Lepers, E. (2003). Dynamics of land-use and land-cover change in tropical regions. Annual review of environment and resources, 28(1), 205241.
Lambrechts, C., Gachanja, M., & Woodley, B. (2005). Maasai Mau Forest Status Report 2005.
Langat, David & Maranga, Elias & Aboud, A & Cheboiwo, Joshua. (2014). THE VALUE OF SELECTED ECOSYSTEM SERVICES: A CASE STUDY OF EAST MAU FOREST ECOSYSTEM, KENYA.
MFRS (2009). Frequently Asked Questions about the Mau Forests
Suzanna Cuypers, Andrea Nascetti, Maarten Vergauwen (2023) - Land Use and Land Cover Mapping with VHR and Multi-Temporal Sentinel-2 Imagery - Remote sensing DOI: 10.3390/rs15102501
Turner and Meyer. (1994). Change in Land Use and Land Cover. A Global Perspective. Complex. Office of the Prime Minister, Government of Kenya
Were, K., Dick, Ø., & Singh, B. (2013). Remotely sensing the spatial and temporal land cover changes in Eastern Mau Forest reserve and Lake Nakuru drainage basin, Kenya. Applied Geography, 41, 75-86. https://doi.org/10.1016/j.apgeog.2013.03.017 20. MoEF (2016). National Forest Programme. Nairobi: Ministry of Environment and Natural Resources. Retrieved from https://kwcakenya.com/download/kenya-nationalforest-programme-2016-2030/?wpdmdl=10306&refresh=6033acea691471613999338
Vahid Nasiri, Azade Deljouei, Fardin Moradi, Seyed Mohammad Moein Sadeghi, Stelian Alexandru Borz (2022) - Land Use and Land Cover Mapping Using Sentinel-2, Landsat-8 Satellite Images, and Google Earth Engine: A Comparison of Two Composition Methods - Remote sensing - DOI: 10.3390/rs14091977
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