The socioeconomics of food crop production and climate change vulnerability: a global scale quantitative analysis of how grain crops are sensitive to drought
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Many studies warn that climate change may undermine global food security. Much work on this topic focuses on modelling crop-weather interactions but these models do not generally account for the ways in which socio-economic factors influence how harvests are affected by weather. To address this gap, this paper uses a quantitative harvest vulnerability index based on annual soil moisture and grain production data as the dependent variable in a Linear Mixed Effects model with national scale socio-economic data as independent variables for the period 1990–2005. Results show that rice, wheat and maize production in middle income countries were especially vulnerable to droughts. By contrast, harvests in countries with higher investments in agriculture (e.g. higher amounts of fertilizer use) were less vulnerable to drought. In terms of differences between the world’s major grain crops, factors that made rice and wheat crops vulnerable to drought were quite consistent, while those of maize crops varied considerably depending on the type of region. This is likely due to the fact that maize is produced under very different conditions worldwide. One recommendation for reducing drought vulnerability risks is coordinated development and adaptation policies, including institutional support that enables farmers to take proactive action.
KeywordsDrought vulnerability index Crop failure Soil moisture Food security Transition economies Linear model Adaptive capacity
We would like to thank Jami Dixon for collecting data, and Esben Almquist and Alexander Walther for their Matlab scripts. This research was funded by grants from: the Natural Environment Research Council (NERC) under the QUEST programme (grant number NE/E001890/1); the Rural Economy and Land Use Programme which is a collaboration between the Economic and Social Research Council (ESRC), the Biotechnology and Biological Sciences Research Council (BBSRC); and the Centre for Climate Change Economic and Policy, which is funded by the Economics and Social Research Council. We are grateful to two anonymous reviewers for their constructive comments.
- Beddington, J. (2009). Food, energy, water and the climate: A perfect storm of global events? Government Office for Science. Full text available at: http://www.bis.gov.uk/assets/bispartners/goscience/docs/p/perfect-storm-paper.pdf.
- Challinor, A. J., Simelton, E. S., Fraser, E. D., Hemming, D., Collins, M. (2010). Increased crop failure due to climate change: assessing adaptation options using models and socio-economic data for wheat in China. Environmental Research Letters, 5, doi: 10.1088/1748-9326/5/3/034012.
- Conway, D., & Schipper L. E. F. (2011). Adaptation to climate change in Africa: Challenges and opportunities identified from Ethiopia. Global Environmental Change, 21, 227–237.Google Scholar
- EarthTrends (2008). The environmental information portal. World Resources Institute. http://earthtrends.wri.org/searchable_db/index.php?theme=4.
- Ericksen, P. et al. (2011). Mapping hotspots of climate change and food insecurity in the global tropics. Copenhagen: CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS).Google Scholar
- Erigayama, N., Smakhtin, V., & Gamage, N. (2009). Mapping drought patterns and impacts: a global perspective. Colombo: International Water Management Institute.Google Scholar
- FAO (2003). Trade reforms and food security. Conceptualizing the linkages, Commodity Policies and Projections Service, Commodities and Trade Division. Rome, Italy. 296pp.Google Scholar
- FAO (2008). FAOSTAT Online database. Food and Agriculture Organization of the United Nations. http://faostat.fao.org/default.aspx.
- Foley, J. A., et al. (2011). Solutions for a cultivated planet. Nature. doi: 10.1038/nature10452.
- Fraser, E. D. G., Rimas, A. (2011). The psychology of food riots. Foreign Affairs, January 30, http://www.foreignaffairs.com/articles/67338/evan-fraser-and-andrew-rimas/the-psychology-of-food-riots.
- Fraser, E. D. G, Dougill, A. J., Hubacek, K., Quinn, C. H., Sendzimir, J., Termansen, M. (2011). Assessing vulnerability, resilience and adaptive capacity to climate change in arid/semi-arid social ecological systems. Ecology and Society 16(3), Art. 3.Google Scholar
- Gbetibouo, G., Ringler, C. (2009). Mapping South African farming sector vulnerability to climate change and variability: A subnational assessment. IFPRI Discussion Paper 885. International Food Policy Research Institute Washington, DC.Google Scholar
- Hazell, P., & Wood, S. (2007). Drivers of change in global agriculture. Philosophical Transactions of the Royal Society B. doi: 10.1098/rstb.2007.2166.
- IPCC (2001). Glossary, Fourth Assessment Report, Working Group 2. Intergovernmental Panel on Climate Change. Cambridge, United Kingdom and New York, NY, USA: Cambridge University Press. http://www.ipcc.ch/pdf/glossary/ar4-wg2.pdf
- IPCC. (2007). Contribution of Working Group II to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge: Cambridge University Press.Google Scholar
- Leff, B., Ramankutty, N., Foley, J. A. (2004). Geographic distribution of major crops across the world. Global Biogeochemical Cycles 18, GB 1009.Google Scholar
- Nelson, G., et al. (2010). Food security, farming, and climate change to 2050: Scenarios, results, policy options. IFPRI. Washington DC. 155 pp http://www.ifpri.org/sites/default/files/publications/rr172.pdf.
- OECD-FAO (2009). OECD-FAO Agricultural outlook Highlights No1 Feb 2009. OECD/FAO.Google Scholar
- Simelton, E., Fraser, E. D. G., Termansen, M., Forster, P. M., & Dougill, A. J. (2009). Typologies of crop-drought vulnerability: an empirical analysis of the socio-economic factors that influence the sensitivity and resilience to drought of three major food crops in China (1961–2001). Environmental Science and Policy, 12(4), 438–452.CrossRefGoogle Scholar
- The Economist (2009). The Economist Intelligence Unit’s Index of Democracy 2008. http://graphics.eiu.com/PDF/Democracy%20Index%202008.pdf.
- Thenkabail, P. S., et al. (2008). A Global Irrigated Area Map (GIAM) Using remote sensing at the end of the last millennium. Colombi. Sri Lanka: International Water Management Institute. 63 pp. http://www.iwmigiam.org/info/gmi-doc/GIAM-world-book.pdf.
- The World Bank Group (2008). World Development Indicators Online database. http://data.worldbank.org/indicator
- Government, U. K. (2011). Global food and farming futures. London: Foresight Government of the United Kingdom.Google Scholar
- USDA (2004). Ukraine: Average harvest prospects for winter grains, production estimates and crop assessment division, foreign agricultural service. United States Department of Agriculture.Google Scholar
- Verchot, L. V., et al. (2007). Climate change: linking adaptation and mitigation through agroforestry. Mitigation and Adaptation Strategies for Global Change. doi: 10.1007/s11027-007-9105-6.
- Wagner, W., Scipal, K., Pathe, C., Gerten, D., Lucht, W., Rudolf, B. (2003). Evaluation of the agreement between first global remotely sensed soil moisture data with model and precipitation data, Journal of Geophysical Research, 108(D19), 4611, doi: 10.1029/2003JD003663.
- World Bank (2009). Country classification 2008. http://go.worldbank.org/K2CKM78CC0.