Abstract
Drought is one of the disasters that most widely affect and damage agricultural production in the world. In this study, the rice yield loss risk of drought at global is assessed and mapped at the 0.5°×0.5° grid unit, comparable-geographic unit and country and region unit based on the GEPIC-V-R model. The result indicates that the top 10% countries with the highest expected annual rice yield loss risk are Afghanistan, China, Spain, Pakistan, Tanzania, India, Russia, Brazil, Burkina Faso, Australia, and Kazakhstan.
Mapping Editors: Jing’ai Wang (Key Laboratory of Regional Geography, Beijing Normal University, Beijing 100875, China), Chunqin Zhang (School of Geography, Beijing Normal University, Beijing 100875, China), Shujuan Cui (School of Geography, Beijing Normal University, Beijing 100875, China), and Fang Chen (School of Geography, Beijing Normal University, Beijing 100875, China).
Language Editor: Wei Xu (Key Laboratory of Environmental Change and Natural Disaster, Ministry of Education, Beijing Normal University, Beijing 100875, China).
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Intergovernmental Panel on Climate Change (IPCC). 2012. Managing the risks of extreme events and disasters to advance climate change adaptation. A special report of working groups I and II of the intergovernmental panel on climate change. Cambridge and New York: Cambridge University Press.
Intergovernmental Panel on Climate Change (IPCC). 2013. Summary for policymakers. In: Climate change 2013: The physical science basis. Contribution of working group I to the fifth assessment report of the intergovernmental panel on climate change. Cambridge and New York: Cambridge University Press.
Li, Y.P., W. Ye, M. Wang, et al. 2009. Climate change and drought: A risk assessment of crop-yield impacts. Climate Research 39(1): 31–46.
Moss R.H., M. Babiker, S. Brinkman, et al. 2008. Towards new scenarios for analysis of emissions, climate change, impacts, and response strategies. Technical Summary, Intergovernmental Panel on Climate Change, Geneva.
United Nations Development Programme (UNDP), Bureau for Crisis Prevention and Recovery. 2004. Reducing disaster risk: A challenge for development. New York: UNDP, Bureau for Crisis Prevention and Recovery.
Yin, Y.Y., X.M. Zhang, D.G. Lin, et al. 2014. GEPIC-V-R model: A GIS-based tool for regional crop drought risk assessment. Agricultural Water Management 144: 107–119.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer-Verlag Berlin Heidelberg and Beijing Normal University Press
About this chapter
Cite this chapter
Zhang, X., Lin, D., Guo, H., Wu, Y., Wang, J. (2015). Mapping Drought Risk (Rice) of the World. In: Shi, P., Kasperson, R. (eds) World Atlas of Natural Disaster Risk. IHDP/Future Earth-Integrated Risk Governance Project Series. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45430-5_13
Download citation
DOI: https://doi.org/10.1007/978-3-662-45430-5_13
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-45429-9
Online ISBN: 978-3-662-45430-5
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)