GIS-Based Analysis of Wildlife Habitat Suitability and Conservation Strategies in Maasai Mara Reserve
DOI:
https://doi.org/10.54097/hset.v67i.11631Keywords:
Protecting animal habitats, GIS, AHP, Kernel density estimation.Abstract
The significance of conducting an animal habitats suitability analysis is to enhance sustainable management in the face of land use modification, population growth, and changing settlement patterns, thereby safeguarding Kenya's natural resources, tourism, biodiversity, resource utilization, and community livelihoods. This paper establishes a habitat suitability analysis of specific animal habitats based on GIS technology. Firstly, key indicators were identified and subjected to the single factor analysis. Secondly, the AHP model was employed to calculate the weights of the indicators. A comprehensive evaluation was then carried out to visualize the animal habitat suitability map. Finally, the results of the animal habitat suitability analysis were overlaid with the spatial data of the road network. Overall, the results show that the suitable habitat for wildlife habitat is concentrated in the eastern and western corners of the Masai Mara Reserve, evenly distributed in the south-eastern corner, with a small amount in the north. The impact of lost opportunities for people living near the reserve will be significantly reduced. A kernel density estimation model was introduced to make predictions based on the first law of geography. The visualized predictions show that the habitable range of animals is relatively close to the results of model 1, which proves that animal populations and the quality of human life are secure.
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References
Corten, A. Northern distribution of North Sea herring as a response to high water temperatures and/or low food abundance. Fisheries Research, 2001, 50(1-2), 189-204.
Zhang, Meng-Rong, Guo, Min-Na, Cai, Cui-Fang. Habitat suitability evaluation of Farmer's Mantle based on MaxEnt model and ArcGIS [J]. Chinese Journal of Experimental Formulary, 2021, 27(4): 8.
Muchiri, M. N., & Mureithi, S. M. Socio-economic Benefits of Wildlife Conservation in Kenya: The Case of Maasai Mara National Reserve. International Journal of Social Sciences and Humanities Research, 2017, 5(2), 121-132.
Kipkemoi, J. K., & Wanyama, J. M. Impacts of Climate Change on the Ecology of the Maasai Mara Ecosystem, Kenya. Journal of Environmental Science and Management, 2019, 22(1), 36-45.
Wanjiku, J., & Mwangi, E. Assessment of the Impacts of Urbanization on Wetlands and Their Ecosystem Services: A Case Study of Nairobi City, Kenya. Journal of Ecology and the Natural Environment, 2016, 8(4), 45-53.
Gichuki, N. N., Gikuma-Njuru, P., & Wamicha, W. N. Community Participation in the Management of Samburu National Reserve, Kenya. Journal of Environment and Earth Science, 2017, 7(2), 50-59.
B. O. Oindo, A. K. Skidmore & P. de Salvo Mapping habitat and biological diversity in the Maasai Mara ecosystem, International Journal of Remote Sensing 2003, 24: 5, 10531069.
KENYA NATIONAL WILDLIFE CENSUS 2021 REPORT ABRIDGED FINAL, 2022.
Noorollahi Y, Ghenaatpisheh Senani A, Fadaei A, Simaee M, Moltames R. A framework for GIS-based site selection and technical potential evaluation of PV solar farm using Fuzzy-Boolean logic and AHP multi-criteria decision-making approach. Renew Energy, 2022, 186: 89–104.
ZHAO Cha, ZHAO Mingjie, GUO Qing, et al. Analysis of water quality of Longfeng River based on single factor evaluation method and comprehensive pollution index method [J]. Jiangsu Science and Technology Information, 2023, 40(6): 4.
STATUS AND VIABILITY OF WILDLIFE CORRIDORS IN THE MAASAI MARA ECOSYSTEM, 2022.
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