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Vulnerability of Kenya’s Water Towers to Future Climate Change: An Assessment to Inform Decision Making in Watershed Management

DOI: 10.4236/ajcc.2020.93020, PP. 317-353

Keywords: Kenya Water Towers, Climate Change, Vulnerability, Exposure, Sensitivity, Adaptive Capacity

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Abstract:

Recent trends show that in the coming decades, Kenya’s natural resources will continue to face significant pressure due to both anthropogenic and natural stressors, and this will have greater negative impacts on socio-economic development including food security and livelihoods. Understanding the impacts of these stressors is an important step to developing coping and adaptation strategies at every level. The Water Towers of Kenya play a critical role in supplying ecosystems services such as water supply, timber and non-timber forest products and regulating services such as climate and water quantity and quality. To assess the vulnerability of the Water Towers to climate change, the study adopted the IPCC AR4 framework that defines vulnerability as a function of exposure, sensitivity, and adaptive capacity. The historical trends in rainfall indicate that the three Water Towers show a declining rainfall trend during the March-April-May (MAM) main rainy season, while the October-November-December (OND) short rainy season shows an increase. The temperature patterns are consistent with the domain having a common rising trend with a rate in the range of 0.3°C to 0.5°C per decade. Projection analysis considered three emissions scenarios: low-emission (mitigation) scenario (RCP2.6), a medium-level emission scenario (RCP4.5), and a high-emission (business as usual) scenario (RCP8.5). The results of the high-emission scenario show that the annual temperature over the Water Towers could rise by 3.0°C to 3.5°C by the 2050s (2036-2065) and 3.6°C to 4.8°C by the 2070s (2055-2085 results not presented), relative to the baseline period 1970-2000. The findings indicate

References

[1]  Boko, M., Niang, I., Nyong, A., Vogel, C., Githeko, A., Medany, M., Yanda, P. et al. (2007). Africa. In M. L. Parry, O. F. Canziani, J. P. Palutikof, P. J. van der Linden, & C. E. Hanson (Eds.), Climate Change 2007: Impacts, Adaptation and Vulnerability. Contribution of Working Group II to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change (pp. 433-467). Cambridge: Cambridge University Press.
[2]  Bonal, D., Burban, B., Stahl, C., Wagner, F., & Hérault, B. (2016). The Response of Tropical Rainforests to Drought—Lessons from Recent Research and Future Prospects. Annals of Forest Science, 73, 27-44.
https://doi.org/10.1007/s13595-015-0522-5
[3]  Bore, J. K. (2015). Tea Adaptation and Mitigation to Climate Change in Kenya (No. Presentation). Kericho, Kenya.
[4]  Carlos, L. E., & Yoon, S. W. (2015). Local Vulnerability Indicators and Adaptation to Climate Change; A Survey (pp. 4-46). Washington DC: Inter-American Development Bank, Technical (Climate Change and Sustainability Division).
[5]  Choat, B., Jansen, S., Brodribb, T. J., Cochard, H., Delzon, S., Bhaskar, R., Zanne, A. E. et al. (2012). Global Convergence in the Vulnerability of Forests to Drought. Nature, 491, 752-755.
https://doi.org/10.1038/nature11688
[6]  de Sherbinin, A. (2014). Spatial Climate Change Vulnerability Assessments: A Review of Data, Methods, and Issues (pp. 1-70).
[7]  de Sherbinin, A., Chai-Onn, T., Giannini, A., Jaiteh, M., Levy, M., Mara, V., Trzaska, S. et al. (2014). Mali Climate Vulnerability Mapping. USAID.
[8]  Deutsche Gesellschaft für Internationale Zusammenarbeit GIZ (2014). The Vulnerability Sourcebook (p. 171).
[9]  Endris, H. S., Lennard, C., Hewitson, B., Dosio, A., Nikulin, G., & Panitz, H.-J. (2015). Teleconnection Responses in Multi-GCM Driven CORDEX RCMs over Eastern Africa. Climate Dynamics, 46, 2821-2846.
https://doi.org/10.1007/s00382-015-2734-7
[10]  Endris, H. S., Omondi, P., Jain, S., Lennard, C., Hewitson, B., Chang’a, L., Tazalika, L. et al. (2013). Assessment of the Performance of CORDEX Regional Climate Models in Simulating East African Rainfall. Journal of Climate, 26, 8453-8475.
https://doi.org/10.1175/JCLI-D-12-00708.1
[11]  FPP (2014). Forest Peoples Program Report. The Case of the Cherangany Hills, Kenya-State Forest Protection Is Forcing People from Their Lands.
http://www.iapad.org/wp-content/uploads/2016/01/141130_Cherangany_Hills_Case.pdf
[12]  Funk, C., Galu, G., Massawa, E., McCormick, S., Omondi, P., Sebina, E., White, L. et al. (2017). Climate Change Vulnerability, Impacts and Adaptation Assessment for East Africa.
[13]  Funk, C., Peterson, P., Landsfeld, M., Pedreros, D., Verdin, J., Shukla, S., Michaelsen, J. et al. (2015). The Climate Hazards Infrared Precipitation with Stations—A New Environmental Record for Monitoring Extremes. Scientific Data, 2, Article ID: 150066.
https://doi.org/10.1038/sdata.2015.66
[14]  Giorgi, F., Jones, C., & Asrar, G. R. (2009). Addressing Climate Information Needs at the Regional Level: The CORDEX Framework.
[15]  Glick, P., Stein, B. A., & Edelson, N. A. (2010). Scanning the Conservation Horizon: A Guide to Climate Change Vulnerability Assessment (p. 176). Washington DC: National Wildlife Federation.
[16]  GoK (2013). National Climate Change Action Plan 2013-2017. Nairobi: Government of Kenya.
[17]  IPCC, Intergovernmental Panel on Climate Change (2014). Climate Change 2014: Synthesis Report. Contribution of Working Groups I, II and III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change (151 p.). Geneva: IPCC.
[18]  Jiao, W., Zhang, L., Chang, Q., Fu, D., Cen, Y., & Tong, Q. (2016). Evaluating an Enhanced Vegetation Condition Index (VCI) Based on VIUPD for Drought Monitoring in the Continental United States. Remote Sensing, 8, 224.
https://doi.org/10.3390/rs8030224
[19]  Kienberger, S., Lang, S., & Zeil, P. (2009). Spatial Vulnerability Units—Expert-Based Spatial Modelling of Socio-Economic Vulnerability in the Salzach Catchment, Austria. Natural Hazards and Earth System Science, 9, 767-778.
https://doi.org/10.5194/nhess-9-767-2009
[20]  KWTA (2019). Kenya Water Towers Agency Coordinated Environmental Protection. Policy Brief Mt. Elgon Water Tower.
https://watertowers.go.ke/wp-content/uploads/2019/05/Kenya-Water-Towers-Policy-Mt.-Elgon-Policy-30-4-2019_2.pdf
[21]  Livada, I., & Assimakopoulos, V. D. (2006). Spatial and Temporal Analysis of Drought in Greece Using the Standardized Precipitation Index (SPI). Theoretical and Applied Climatology, 89, 143-153.
https://doi.org/10.1007/s00704-005-0227-z
[22]  Locatelli, B., Brockhaus, M., Buck, A., & Thompson, I. (2010). Forests and Adaptation to Climate Change: Challenges and Opportunities. In G. Mery, P. Katila, G. Galloway, R. I. Alfaro, M. Kanninen, M. Lobovikov, & J. Varjo (Eds.), Forests and Society—Responding to Global Drivers of Change (pp. 21-42). Vienna: IUFRO.
[23]  Luck, J., Spackman, M., Freeman, A., Trebicki, P., Griffiths, W., Finley, K., & Chakraborty, S. (2011). Climate Change and Diseases of Food Crops. Plant Pathology, 60, 113-121.
https://doi.org/10.1111/j.1365-3059.2010.02414.x
[24]  Moret, W. (2014). Vulnerability Assessment Methodologies: A Review of the Literature (pp. 1-89).
[25]  Moss, R. H., Edmonds, J. A., Hibbard, K. A., Manning, M. R., Rose, S. K., van Vuuren, D. P., Wilbanks, T. J. et al. (2010). The Next Generation of Scenarios for Climate Change Research and Assessment. Nature, 463, 747-756.
https://doi.org/10.1038/nature08823
[26]  Pfeifer, M., Gonsamo, A., Woodgate, W. et al. (2018). Tropical Forest Canopies and Their Relationships with Climate and Disturbance: Results from a Global Dataset of Consistent Field-Based Measurements. Forest Ecosystems, 5, 7.
https://doi.org/10.1186/s40663-017-0118-7
[27]  PROVIA (2013). PROVIA Guidance on Assessing Vulnerability, Impacts and Adaptation to Climate Change.
[28]  Riahi, K., Rao, S., Krey, V., Cho, C., Chirkov, V., Fischer, G., Rafaj, P. et al. (2011). RCP 8.5—A Scenario of Comparatively High Greenhouse Gas Emissions. Climatic Change, 109, 33-57.
https://doi.org/10.1007/s10584-011-0149-y
[29]  Roy, D. C., & Blaschke, T. (2015). A Grid-Based Approach for Spatial Vulnerability Assessment to Floods: A Case Study on the Coastal Area of Bangladesh.
[30]  Seswa, F. (2012). Assessment of Human Activities on the Vegetation of Tropical Rainforest in Kakamega County, Kenya. MSc Thesis.
[31]  Swanston, C., & Janowiak, M. (2012). Forest Adaptation Resources: Climate Change Tools and Approaches for Land Managers (121 p.). USDA For. Serv., Gen. Tech. Rep. NRS-87, Northern Research Station Newtown Square, PA.
https://doi.org/10.2737/NRS-GTR-87
[32]  Tarus, G. K. (2017). Modelling Impacts of Climate Change on Tree Biomass and Distribution in Arabuko Sokoke Forest Reserve, Kenya (104 p.). MSc Thesis, Nairobi: University of Nairobi.
[33]  Thornton, P. K., Ericksen, P. J., Herrero, M., & Challinor, A. J. (2014). Climate Variability and Vulnerability to Climate Change: A Review. Global Change Biology, 20, 3313-3328.
https://doi.org/10.1111/gcb.12581
[34]  Tierney, J. E., Ummenhofer, C. C., & deMenocal, P. B. (2015). Past and Future Rainfall in the Horn of Africa. Science Advances, 1, e1500682.
https://doi.org/10.1126/sciadv.1500682
[35]  UNEP (2008). Mau and Marmanet Forests. Economic and Socioeconomic Contributions, Current State and Trends.
[36]  UNEP (2012a). Kenya Integrated Forest Ecosystem Services. Technical Report.
[37]  UNEP (2012b). The Role and Contribution of Montane Forests and Related Ecosystem to the Kenyan Economy.
[38]  UNEP and GoK (2012). Water Towers, Forests and Green Economy; Outcome of the First High Level National Dialogue in Kenya.
[39]  Weis, S. W. M., Agostini, V. N., Roth, L. M., Gilmer, B., Schill, S. R., Knowles, J. E., & Blyther, R. (2016). Assessing Vulnerability: An Integrated Approach for Mapping Adaptive Capacity, Sensitivity, and Exposure. Climatic Change, 136, 615-629.
https://doi.org/10.1007/s10584-016-1642-0
[40]  Willis, I., & Fitton, J. (2016). A Review of Multivariate Social Vulnerability Methodologies: A Case Study of the River Parrett Catchment, UK. Natural Hazards and Earth System Sciences, 16, 1387-1399.
https://doi.org/10.5194/nhess-16-1387-2016

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