Spatiotemporal Assessment of Deforestation Effects on Aerosol Optical Characteristics and Climate Variability over the Mau Forest Complex Based on MERRA-2 Reanalysis
The deforestation has far-reaching effects on aerosol characteristics and climatic variables. Deforestation disrupts the local climate by altering temperature, aerosol optical properties, and impacting air quality. Further, it also modifies precipitation patterns at varied scales. Nevertheless, the long-term impacts of deforestation on climate variables and aerosol properties over Mau remain not very well explored, especially considering the context of altered natural emissions and anthropogenic sources. This study bridges this gap through an in-depth analysis of deforestation impacts on aerosol characteristics and climate variables over the Mau Forest complex bounded by (0.2S, 35.2E) and (0.8S, 35.8E) using satellite and model-derived data from 2001 to 2024. The findings of the present study reveal that Aerosol optical depth (<0.2) and ?ngstr?m exponent (>1) are predominantly attributed to deforestation and climate change. The Correlation analysis found that surface temperature has a strong negative correlation with Aerosol Optical Depth (AOD), with a coefficient of <?0.3, and is influenced by deforestation activities such as land clearing, agricultural activities, and dust storms. In addition, precipitation identified a moderate positive correlation with AOD, with values ranging from 0.1 to 0.4, attributed to factors such as the complex interplay of aerosol types, size distribution, and dust and atmospheric dynamics like strong winds, which can transport aerosols over long distances, and the presence of moist air masses. Besides aerosol optical depth (AOD), ?ngstr?m Exponent (AE), precipitation, and temperature are interconnected, influencing each other through complex atmospheric processes. Increased precipitation led to reduced AOD due to wet scavenging of aerosols. On the other hand, temperature affects aerosol formation and distribution. Changes in AOD, in turn, can impact precipitation patterns and temperature through radiative forcing. In short, the investigation indicates that aerosols’ optical properties over the Mau Forest complex exhibit distinct spatial and temporal patterns driven by both human and natural processes. The statistically significant correlations with meteorological parameters such as precipitation and temperature prove the modulating role of aerosol optical properties in regional climate processes. The policymakers must therefore prioritize emission control actions targeted at biomass burning, and scientists must keep investigating high-resolution aerosol optical properties-climate interactions using integrated ground and satellite observations to advance climate impact assessment over the Mau Forest complex in Kenya.
Cite this paper
Jepchirchir, C. M. , Khamala, G. W. and Makokha, J. W. (2026). Spatiotemporal Assessment of Deforestation Effects on Aerosol Optical Characteristics and Climate Variability over the Mau Forest Complex Based on MERRA-2 Reanalysis. Open Access Library Journal, 13, e14932. doi: http://dx.doi.org/10.4236/oalib.1114932.
Cesareo, K., Walker, L., Varela, J. and Smith, A. (2021) Deforestation and Forest Degradation.https://www.worldwildlife.org/our-work/forests/deforestation-and-forest-degradation/#causes
Nabutola, W. (2010) The Mau Forest in the Rift Valley: Kenya’s Largest Water Tower: A Perfect Model for the Challenges and Opportunities of a Sustainable Development Project? https://www.fig.net/resources/proceedings/fig_proceedings/fig2010/papers/ts02e/ts02e_nabutola_4755.pdf
Kipkoech, A., Mogaka, H., Cheboiwo, J. and Kimaro, D. (2011) The Total Economic Value of Maasai Mau, Transmara and East Mau Forest Blocks of Thes Mau Forest, Kenya. Lake Victoria Basin Commission Secretariat.
Olang, L.O., Kundu, P., Bauer, T. and Fürst, J. (2011) Analysis of Spatio-Temporal Land Cover Changes for Hydrological Impact Assessment within the Nyando River Basin of Kenya. Environmental Monitoring and Assessment, 179, 389-401. https://doi.org/10.1007/s10661-010-1743-6
FAO (2023) Global Forest Resources Assessment 2025. Terms and Definitions FRA 2025. Food and Agriculture Organization of the United Nations (FAO). Forest Resources Assessment Working Paper No. 194.
United Nations Office for Disaster Risk Reduction (UNDRR), International Science Council (ISC) (2025) UNDRR-ISC Hazard Information Profiles—2025 Update: EN0201 Deforestation United Nations Office for Disaster Risk Reduction. International Science Council. https://www.undrr.org/terms/hips/EN0201
Ali, E., Azhar, M.F., Alam, E., Rehman, Z., Ullah, S., Ahmad, A., et al. (2023) Deforestation Perspectives of Dry Temperate Forests: Main Drivers and Possible Strategies. Frontiers in Environmental Science, 11, Article 1151320. https://doi.org/10.3389/fenvs.2023.1151320
Arfin, T., Pillai, A.M., Mathew, N., Tirpude, A., Bang, R. and Mondal, P. (2023) An Overview of Atmospheric Aerosol and Their Effects on Human Health. Environmental Science and Pollution Research, 30, 125347-125369. https://doi.org/10.1007/s11356-023-29652-w
Nieder, R., Benbi, D.K. and Reichl, F.X. (2018) Soil-Borne Particles and Their Impact on Environment and Human Health. Springer. https://doi.org/10.1007/978-94-024-1222-2
Das, S., Pal, D. and Sarkar, A. (2021) Particulate Matter Pollution and Global Agricultural Productivity. In: Kumar Singh, V., Singh, R., Lichtfouse, E., Sustainable Agriculture Reviews, Springer, 79-107. https://doi.org/10.1007/978-3-030-63249-6_4
Makokha, J.W. and Angeyo, H.K. (2013) Investigation of Radiative Characteristics of the Kenyan Atmosphere Due to Aerosols Using Sun Spectrophotometry Measurements and the COART Model. Aerosol and Air Quality Research, 13, 201-208. https://doi.org/10.4209/aaqr.2012.06.0146
Khamala, G.W., Makokha, J.W., Boiyo, R. and Kumar, K.R. (2023) Spatiotemporal Analysis of Absorbing Aerosols and Radiative Forcing over Environmentally Distinct Stations in East Africa during 2001-2018. Science of the Total Environment, 864, Article 161041. https://doi.org/10.1016/j.scitotenv.2022.161041
Karri, R.R., Vera, T., Mohamed Hassan, S.K., Khoder, M.I., Dehghani, M.H., Mubarak, N.M., et al. (2024) Classification, Sources, and Occurrence of Outdoor Air Pollutants: A Comprehensive Overview. In: Health and Environmental Effects of Ambient Air Pollution, Elsevier, 1-34. https://doi.org/10.1016/b978-0-443-16088-2.00002-8
O’Dowd, C. (2012) Aerosol in Global Atmosphere. In: Goodsite, M.E., Johnson, M.S. and Hertel, O., Eds., Air Pollution Sources, Statistics and Health Effects, Encyclopedia of Sustainability Science and Technology Series, Springer, 239-278. https://doi.org/10.1007/978-1-0716-0596-7_322
Akinyoola, J.A., Oluleye, A. and Gbode, I.E. (2024) A Review of Atmospheric Aerosol Impacts on Regional Extreme Weather and Climate Events. Aerosol Science and Engineering, 8, 249-274. https://doi.org/10.1007/s41810-024-00223-x
Jepchirchir, C.M., Khamala, G.W. and Makokha, J.W. (2025) Long-Term Assessment of Deforestation and Its Impacts on Aerosol Optical Properties and Climate Variables over Mau Forest Complex Using Multisensory Data. Atmospheric and Climate Sciences, 15, 742-760. https://doi.org/10.4236/acs.2025.154038
Lawrence, D., Coe, M., Walker, W., Verchot, L. and Vandecar, K. (2022) The Unseen Effects of Deforestation: Biophysical Effects on Climate. Frontiers in Forests and Global Change, 5, Article 756115. https://doi.org/10.3389/ffgc.2022.756115
Lawrence, D. and Vandecar, K. (2015) Effects of Tropical Deforestation on Climate and Agriculture. Nature Climate Change, 5, 27-36. https://doi.org/10.1038/nclimate2430
Jajere, A.I., Jajere, A.I. and Jajere, A.M. (2025) Impact of Deforestation on Climate Change and Agricultural Activities in Jajere. Trends in Environmental Sciences, 1, 193-199. https://doi.org/10.21124/tes.2025.193.199
Rotstayn, L.D. and Lohmann, U. (2002) Tropical Rainfall Trends and the Indirect Aerosol Effect. Journal of Climate, 15, 2103-2116. https://doi.org/10.1175/1520-0442(2002)015<2103:trtati>2.0.co;2
Lohmann, U. and Feichter, J. (2005) Global Indirect Aerosol Effects: A Review. Atmospheric Chemistry and Physics, 5, 715-737. https://doi.org/10.5194/acp-5-715-2005
Ali, S., Zahid, A., Ahmed, M.U., Liaqat, I. and Aftab, M.N. (2024) Properties of Aerosol Particles in the Air and Their Effects on Greenhouse Gases Dispersion. In: Advances and Technology Development in Greenhouse Gases: Emission, Capture and Conversion, Elsevier, 71-102. https://doi.org/10.1016/b978-0-443-19066-7.00004-7
Wolff, N.H., Masuda, Y.J., Meijaard, E., Wells, J.A. and Game, E.T. (2018) Impacts of Tropical Deforestation on Local Temperature and Human Well-Being Perceptions. Global Environmental Change, 52, 181-189. https://doi.org/10.1016/j.gloenvcha.2018.07.004
Gelaro, R., McCarty, W., Suárez, M.J., Todling, R., Molod, A., et al. (2017) The Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2). Journal of Climate, 30, 5419-5454.
Khamala, G.W., Makokha, J.W., Boiyo, R. and Kumar, K.R. (2022) Long-Term Climatology and Spatial Trends of Absorption, Scattering, and Total Aerosol Optical Depths over East Africa during 2001-2019. Environmental Science and Pollution Research, 29, 61283-61297. https://doi.org/10.1007/s11356-022-20022-6
Khan, R., Kumar, K.R., Zhao, T., Ullah, W. and de Leeuw, G. (2021) Interdecadal Changes in Aerosol Optical Depth over Pakistan Based on the MERRA-2 Reanalysis Data during 1980-2018. Remote Sensing, 13, Article 822. https://doi.org/10.3390/rs13040822
Weatherhead, E.C., Reinsel, G.C., Tiao, G.C., Meng, X., Choi, D., Cheang, W., et al. (1998) Factors Affecting the Detection of Trends: Statistical Considerations and Applications to Environmental Data. Journal of Geophysical Research: Atmospheres, 103, 17149-17161. https://doi.org/10.1029/98jd00995
Kumar, K.R., Sivakumar, V., Yin, Y., Reddy, R.R., Kang, N., Diao, Y., et al. (2014) Long-Term (2003-2013) Climatological Trends and Variations in Aerosol Optical Parameters Retrieved from MODIS over Three Stations in South Africa. Atmospheric Environment, 95, 400-408. https://doi.org/10.1016/j.atmosenv.2014.07.001
Kumar, K.R., Yin, Y., Sivakumar, V., Kang, N., Yu, X., Diao, Y., et al. (2015) Aerosol Climatology and Discrimination of Aerosol Types Retrieved from MODIS, MISR and OMI over Durban (29.88˚S, 31.02˚E), South Africa. Atmospheric Environment, 117, 9-18. https://doi.org/10.1016/j.atmosenv.2015.06.058
Kang, N., Kumar, K.R., Hu, K., Yu, X. and Yin, Y. (2016) Long-Term (2002-2014) Evolution and Trend in Collection 5.1 Level-2 Aerosol Products Derived from the MODIS and MISR Sensors over the Chinese Yangtze River Delta. Atmospheric Research, 181, 29-43. https://doi.org/10.1016/j.atmosres.2016.06.008
Boiyo, R., Kumar, K.R. and Zhao, T. (2018) Optical, Microphysical and Radiative Properties of Aerosols over a Tropical Rural Site in Kenya, East Africa: Source Identification, Modification and Aerosol Type Discrimination. Atmospheric Environment, 177, 234-252. https://doi.org/10.1016/j.atmosenv.2018.01.018
Amani, C. and Pham, T.T. (2023) Deforestation and Its Potential Disruption of the Weather Patterns of the Democratic Republic of the Congo: Insights from the Kahuzi-Biega National Park landscape. CIFOR-ICRAF.
Khamala, G.W., Makokha, J.W. and Boiyo, R. (2024) The Spatiotemporal and Dependency Analysis of Selected Meteorological Parameters and Normalized Difference Vegetation Index with Aerosol Optical Depth over East Africa. Heliyon, 10, e39961. https://doi.org/10.1016/j.heliyon.2024.e39961
Hesslerova, P. and Pokorny, J. (2010) Forest Clearing, Water Loss, and Land Surface Heating as Development Costs. International Journal of Water, 5, 401-418.https://doi.org/10.1504/IJW.2010.038732
Kiros, G., Shetty, A. and Nandagiri, L. (2015) Performance Evaluation of SWAT Model for Land Use and Land Cover Changes under Different Climatic Conditions: A Review. Journal of Waste Water Treatment & Analysis, 6, 1-7. https://doi.org/10.4172/2157-7587.1000216
Yang, S., Xu, B., Cao, J., Zender, C.S. and Wang, M. (2015) Climate Effect of Black Carbon Aerosol in a Tibetan Plateau Glacier. Atmospheric Environment, 111, 71-78. https://doi.org/10.1016/j.atmosenv.2015.03.016
Leley, N.C., Langat, D.K., Kosgey, C.C., et al. (2023) Implications of Livestock Grazing on Sustainable Management of Montane Forests: A Case of South West Mau Forest, Kenya. XV World Forestry Congress, Seoul, 2-6 May 2022. https://openknowledge.fao.org/server/api/core/bitstreams/6b0c9adc-5ad8-4e29-9915-534996fbf313/content
Makokha, J.W., Odhiambo, J.O. and Godfrey, J.S. (2017) Trend Analysis of Aerosol Optical Depth and Ångström Exponent Anomaly over East Africa. Atmospheric and Climate Sciences, 7, 588-603. https://doi.org/10.4236/acs.2017.74043
Mulago, S.K., Makokha, J.W. and Boiyo, R. (2024) Spatial-Temporal Variation of Aerosol Optical Depth and Ångström Exponent over Selected Towns in Kenya: Environmental Impact and Climate Change. Open Access Library, 11, 1-16. https://doi.org/10.4236/oalib.1111803
Leung, G.R., Grant, L.D. and van den Heever, S.C. (2024) Deforestation-Driven Increases in Shallow Clouds Are Greatest in Drier, Low-Aerosol Regions of Southeast Asia. Geophysical Research Letters, 51, e2023GL107678. https://doi.org/10.1029/2023gl107678
Yirga, G., Fekrie, D., Menberu, T. and Workineh, Y. (2024) Time Series Trends and Correlations of Aerosol Optical Depth and Cloud Parameters over Addis Ababa. Frontiers in Earth Science, 12, Article 1452075. https://doi.org/10.3389/feart.2024.1452075
Kinyanjui, M.J. (2011) NDVI-Based Vegetation Monitoring in Mau Forest Complex, Kenya. African Journal of Ecology, 49, 165-174. https://doi.org/10.1111/j.1365-2028.2010.01251.x
Boitt, M.K. (2016) Impacts of Mau Forest Catchment on the Great Rift Valley Lakes in Kenya. Journal of Geoscience and Environment Protection, 4, 137-145. https://doi.org/10.4236/gep.2016.45014