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作者:Robertson Jones Katunga
作者(英文):Robertson Jones Katunga
論文名稱:氣候變異度及氣候變遷對玉米甘藷作物產量的影響 : 以馬拉威Mangochi區為例
論文名稱(英文):Effects of Climate variability and change on Crop production of Maize ans Sweet potato: The case of Mangochi District, Malawi
指導教授:蘇銘千
指導教授(英文):Ming-Chien Su
口試委員:周慧君
高年信
蘇銘千
口試委員(英文):Christina Chou
Nien-Hsin Kao
Ming-Chien Su
學位類別:碩士
校院名稱:國立東華大學
系所名稱:人文與環境碩士學位學程
學號:610755003
出版年(民國):109
畢業學年度:108
語文別:英文
論文頁數:78
關鍵詞(英文):Climate variabilityClimate changeCrop productionInterpolationKriging
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Geospatial assessments on the relationship between climate variability and crop production are essential for planning adaptation programs to climate change impacts on agriculture production. However, there are limited geostatistical studies related to climate variability’s impacts on crop production, specifically in Malawi. Therefore, this study assesses the effects of climate variability and change on crop production of maize and sweet potato in Mangochi district, Malawi, through the use of geostatistical methods. The study will bring a new scientific perspective in the research area and is important in the development of adaptation programs to climate change impacts on Malawian crop production. Firstly, the analysis was done by using descriptive statistics, multiple regressions, and ANOVA. Then geostatistical methods are applied to assess changes in the patterns of precipitation and temperature and corresponding changes in the maize and sweet potato crop production in Mangochi district, Malawi. Surfaces depicting changes in the total precipitation and average monthly temperature from 2009 to 2018, and changes in maize and sweet potato crop yield from 2009-2010 to 2018-2019 crop years are generated through Ordinary Kriging methods. Performance evaluation of the model is also done. An assessment of the relationships between the surfaces of different precipitation and temperature seasons and the surfaces of varying maize and sweet potato yield seasons is finally done. The results display that there is a significant correlation between precipitation and temperature changes and maize and sweet potato yield changes with notable correlation coefficients and similarity in the patterns. Substantial conformity of the high precipitation and lower temperature zones to the high maize and sweet potato yielding zones is also depicted. However, further exploration of geospatial techniques is needed for a realistic assessment of the effects of climate variability and change on crop production.
Chapter 1: Introduction 1
Chapter 2: Literature review 7
Chapter 3: Study Area and Methods 15
Chapter 4: Results and Discussion 31
Chapter 5: Conclusion and Suggestions 65
Abou-Shleel, S. M., & El-Shirbeny, M. A. (2014). GIS assessment of climate change impacts on tomato crop in Egypt. Global Journal of Environmental Research, 8(2), 26-34.
Ayanlade, A., Odekunle, T. O., & Orimoogunje, O. O. I. (2010). Impacts of climate variability on tuber crops in Guinea Savanna part of Nigeria: A GIS Approach. Journal of Geography and Geology, 2(1), 27.
Belloumi, M. (2014). Investigating the impact of climate change on agricultural production in eastern and southern African countries (Vol. 3): Intl Food Policy Research Institute.
Bhowmik, A. K., & Costa, A. C. (2012). A Geostatistical Approach to the Seasonal Precipitation Effect on Boro Rice Production in Bangladesh. International Journal of Geosciences, 03(03), 443-462. doi:10.4236/ijg.2012.33048
Boer, E. P., de Beurs, K. M., & Hartkamp, A. D. (2001). Kriging and thin plate splines for mapping climate variables. International Journal of Applied Earth Observation and Geoinformation, 3(2), 146-154.
Chipungu, F., Changadeya, W., Ambali, A., Saka, J., Mahungu, N., & Mkumbira, J. (2017). Analysis of micronutrient variations among sweet potato (Ipomoea batatas [L.] Lam) genotypes in Malawi.
Cline, W. R. (1996). The impact of global warming on agriculture: Comment. American Economic Review, 86(5), 1309–1311.
Cline, W. R. (2007). Global warming and agriculture: Impact estimates by country: Peterson Institute.
Costa, A. C., Durão, R., Pereira, M. J., & Soares, A. (2008). Using stochastic space-time models to map extreme precipitation in southern Portugal. Natural Hazards and Earth System Science, 8(4), 763-773.
Davies, R., Midgley, S., & Chesterman, S. (2010). Climate risk and vulnerability mapping for southern Africa, status quo (2008), and future (2050). available at: www. thesis. com/data/literature/Climate% 20Risk% 20and% 20Vulnerability% 20Mapping% 20for% 20Southern, 20.
Dessai, S., & Hulme, M. (2004). Does climate adaptation policy need probabilities? Climate policy, 4(2), 107-128.
Durão, R. M., Pereira, M. J., Costa, A. C., Delgado, J., Del Barrio, G., & Soares, A. (2010). Spatial-temporal dynamics of precipitation extremes in southern Portugal: a geostatistical assessment study. International Journal of Climatology, 30(10), 1526-1537.
Ericksen, P., de Leeuw, J., Thornton, P., Ayantunde, A., Said, M., Herrero, M., & Notenbaert, A. (2011). Climate change in Sub-Saharan Africa: Consequences and implications for the future of pastoralism. Paper presented at the International Conference on the Future of Pastoralism.
Funk, C. C., & Brown, M. E. (2009). Declining global per capita agricultural production and warming oceans threaten food security. Food Security, 1(3), 271-289.
Füssel, H.-M. (2010). Review and quantitative analysis of indices of climate change exposure, adaptive capacity, sensitivity, and impacts.
Gaveta, E. (2017). Crop Yield Responses to temperature and Rainfall Variability in Bolero, Malawi. Mzuzu University,
Giertz, A., Caballero, J., Galperin, D., Makoka, D., Olson, J., & German, G. (2015). Malawi Agricultural Sector Risk Assessment.
Goovaerts, P. (1997). Geostatistics for natural resources evaluation: Oxford University Press on Demand.
Gourdji, S. M., Mathews, K. L., Reynolds, M., Crossa, J., & Lobell, D. B. (2013). An assessment of wheat yield sensitivity and breeding gains in hot environments. Proceedings of the Royal Society B: Biological Sciences, 280(1752), 20122190.
Gourdji, S. M., Sibley, A. M., & Lobell, D. B. (2013). Global crop exposure to critical high temperatures in the reproductive period: historical trends and future projections. Environmental Research Letters, 8(2), 024041.
Government of Malawi (2014), Mangochi District State of Environment and Outlook Report, Mangochi District Council, Mangochi.
Government of Malawi (2017), Mangochi Social Economic Profile, Mangochi District Council, Malawi.

Government of Malawi (2011), Mangochi Land Resource Annual Report, Mangochi District Council, Mangochi.
Government of Malawi (2011), Mangochi Meteorological Reports (1965-2009), Department of Climate Change and Meteorological Services, Mangochi.
Hamzat, M., Ojo, O. I., & Onifade, T. (2017). Impact of Weather Variability on Yam Yield in South-Western Nigeria.
Harrison, L., Michaelsen, J., Funk, C., & Husak, G. (2011). Effects of temperature changes on maize production in Mozambique. Climate Research, 46(3), 211-222.
IPCC, F. C. (2014). Climate change 2014: impacts, adaptation, and vulnerability. Part A: global and sectoral aspects. Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. In (pp. 1132): Cambridge University Press Cambridge, United Kingdom and New York, NY.
Islam, M., & Wong, A. (2017). Climate change and food in/security: A critical nexus. Environments, 4(2), 38.
Islam, M. S., Roy, S., Afrin, R., & Mia, M. Y. (2019). Influence of climate-induced disasters and climatic variability on cropping pattern and crop production in Bangladesh. Environment Development and Sustainability. Retrieved from ://WOS:000492581100001
Jo, A., Ryu, J., Chung, H., Choi, Y., & Jeon, S. (2018). Applicability of Various Interpolation Approaches for High-Resolution Spatial Mapping of Climate Data in Korea. International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences, 42(3).
Kang, Y., Khan, S., & Ma, X. (2009). Climate change impacts on crop yield, crop water productivity, and food security – A review. Progress in Natural Science, 19(12), 1665-1674. doi:https://doi.org/10.1016/j.pnsc.2009.08.001
Khosla, R., Westfall, D., Reich, R., Mahal, J., & Gangloff, W. (2010). Spatial variation and site-specific management zones. In Geostatistical applications for precision agriculture (pp. 195-219): Springer.
Linacre, E. (1992). Climate data and resources: a reference and guide: Psychology Press.
Liu, D. L., Mob, J., Fairweatherc, H., & Timbald, B. (2009). A GIS tool to evaluate climate change impact: functionality and case study.
Lobell, D. B., Bänziger, M., Magorokosho, C., & Vivek, B. (2011). Nonlinear heat effects on African maize, as evidenced by historical yield trials. Nature climate change, 1(1), 42-45.
Lobell, D. B., & Field, C. B. (2007). Global-scale climate–crop yield relationships and the impacts of recent warming. Environmental Research Letters, 2(1), 014002.
Lobell, D. B., Schlenker, W., & Costa-Roberts, J. (2011). Climate trends and global crop production since 1980. Science, 333(6042), 616-620.
Masuka, A. J. (2016). Potato production and marketing in Zimbabwe: Challenges and opportunities. Zimbabwe Agricultural Society.
Mendelsohn, R. (1998). Climate-change damages. Economics and policy issues in climate change, 219-236.
Mendelsohn, R., Dinar, A., & Williams, L. (2006). The distributional impact of climate change on rich and poor countries. Environment and development economics, 11(2), 159-178.
Mijinyawa, Y., & Akpenpuun, T. D. (2015). Climate change and its effect on grain crop yields in the middle belt in Nigeria. African Journal of Environmental Science and Technology, 9(7), 641-645.
Minot, N. (2010). Transmission of world food price changes to markets in Sub-Saharan Africa: International Food Policy Research Institute Washington.
Msowoya, K., Madani, K., Davtalab, R., Mirchi, A., & Lund, J. R. (2016). Climate change impacts on maize production in the warm heart of Africa. Water Resources Management, 30(14), 5299-5312.
National Statistical Office - NSO/Malawi. 2018. Malawi 2018 Population and Housing Census Report. Zomba, Malawi: NSO.
NSO National Statistical Office ii. https://localgovt.gov.mw/publications/social-economic-profiles-seps/mangochi-1/40-mangochi-district-council-social-economic-profile-2017-2022/file
Olson, J., Alagarswamy, G., Gronseth, J., & Moore, N. (2017). Impacts of Climate Change on Rice and Maize, and Opportunities to Increase Productivity and Resilience in Malawi. Global Center for Food Systems Innovation Technical Paper. Michigan State University.
Pauw, K., Thurlow, J., & Van Seventer, D. (2010). Droughts and floods in Malawi: Assessing the economywide effects: International Food Policy Research Institute (IFPRI).
Perry, M., & Hollis, D. (2005). The generation of monthly gridded datasets for a range of climatic variables over the UK. International Journal of Climatology, 25(8), 1041-1054.
Postiglione, P., Benedetti, R., & Piersimoni, F. (2010). Spatial prediction of agricultural crop yield. Agricultural Survey Methods, 369-387.
Santra, S., Mallick, A., & Samal, A. (2014). Global warming impact on crop productivity. Climate Change Effect on Crop. Productivity; Sengar, RS, Sengar, K., Eds, 357-384.
Schlenker, W., & Lobell, D. B. (2010). Robust negative impacts of climate change on African agriculture. Environmental Research Letters, 5(1), 014010.
Schmidhuber, J., & Tubiello, F. N. (2007). Global food security under climate change. Proceedings of the National Academy of Sciences, 104(50), 19703-19708.
Skoufias, E., Rabassa, M., & Olivieri, S. (2011). The poverty impacts of climate change: a review of the evidence: The World Bank.
Thornton, P.K.; Jones, P.G.; Owiyo, T.M.; Kruska, R.L.; Herrero, M.; Kristjanson, P.; Notenbaert, A.; Bekele, N.; Orindi, V.; Otiende, B.; Ochieng, A.; Bhadwal, S.; Anantram, K.; Nair, S.; Kumar, V.; Kulkar, U. (2006). Mapping climate vulnerability and poverty in Africa: Report to the Department for International Development. Nairobi (Kenya): International Livestock Research Institute (ILRI), 1-200.
Udom, B. E., & Kamalu, O. J. (2019). Crop Water Requirements during Growth Period of Maize (Zea mays L.) in a Moderate Permeability Soil on Coastal Plain Sands. International Journal of Plant Research, 9(1), 7. doi:10.5923/j.plant.20190901.01.
UNDP (2014). Climate Proofing Local Development Gains in Rural and Urban Areas of Machinga and MangochiDistricts.https://info.undp.org/docs/pdc/Documents/MWI/Final%20PIMS%204508%20Malawi%20GEF%20Climate%20Proofing%20UNDP%20ProDoc%2008%2012%202014%20clean.doc. Retrieved on 28/01/2020.
 
 
 
 
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