IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v91y2018i3d10.1007_s11069-018-3181-7.html
   My bibliography  Save this article

Exposure, vulnerability, and adaptation of major maize-growing areas to extreme temperature

Author

Listed:
  • Liangliang Zhang

    (Beijing Normal University)

  • Zhao Zhang

    (Beijing Normal University)

  • Yi Chen

    (Beijing Normal University
    Chinese Academy of Sciences)

  • Xing Wei

    (Beijing Normal University)

  • Xiao Song

    (Beijing Normal University)

Abstract

Driven by increasing demand for food and industrial consumption, world’s maize supply is under stress. Besides, the extreme temperature events are now exposing more threat to maize yield with ongoing climate change. Thus, a comprehensive analysis on maize exposure (exposure is defined as the cultivated area which is exposed to extreme temperature stress), vulnerability (here it means how much yield losses with each temperature increase/decrease at a national scale), and adaptation to extreme temperature is essential to better understand the effects on global maize production, especially in major production countries. It was found that warming trends during the growing season have extensively dominated the main maize-growing areas across the globe. And along with this mean temperature trend was the increasing heat stress and decreasing cold stress among most regions. Moreover, from 1981 to 2011, maize yield losses caused by heat stress in China, India, and the USA were 1.13, 0.64 and 1.12% per decade, respectively, while Mexico has been experiencing a reduction of yield loss due to decreased cold stress of 0.53% per decade. Furthermore, during the period of 2021–2051, the extreme heat stress would increase substantially, while the low temperature was estimated to drop slightly during the growing seasons. Such pattern had also been found over the key reproductive stage of maize. Accordingly, through the sensitivity test of two adaption measures, improved high-temperature-tolerant varieties and changing maize calendar earlier could both mitigate extreme meteorological stress on maize, while the former method would be the most effective way to do so. Our study could provide a paradigm for other crops and other countries in the world to analyze their exposure and vulnerability to the temperature stress and make corresponding adaptation measures.

Suggested Citation

  • Liangliang Zhang & Zhao Zhang & Yi Chen & Xing Wei & Xiao Song, 2018. "Exposure, vulnerability, and adaptation of major maize-growing areas to extreme temperature," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 91(3), pages 1257-1272, April.
  • Handle: RePEc:spr:nathaz:v:91:y:2018:i:3:d:10.1007_s11069-018-3181-7
    DOI: 10.1007/s11069-018-3181-7
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11069-018-3181-7
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11069-018-3181-7?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. W. Neil Adger & Saleemul Huq & Katrina Brown & Declan Conway & Mike Hulme, 2003. "Adaptation to climate change in the developing world," Progress in Development Studies, , vol. 3(3), pages 179-195, July.
    2. Per Pinstrup-Andersen, 2009. "Food security: definition and measurement," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 1(1), pages 5-7, February.
    3. Hertel, Thomas & Burke, Marshall & Lobell, David, 2010. "The Poverty Implications of Climate-Induced Crop Yield Changes by 2030," GTAP Working Papers 3196, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University.
    4. Hertel, Thomas & Burke, Marshall & Lobell, David, 2010. "The Poverty Implications of Climate-Induced Crop Yield Changes by 2030," GTAP Working Papers 3196, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University.
    5. Huaijun Wang & Yaning Chen & Zhongshen Chen & Weihong Li, 2013. "Changes in annual and seasonal temperature extremes in the arid region of China, 1960–2010," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 65(3), pages 1913-1930, February.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Hengli Wang & Hong Liu & Rui Ma, 2022. "Assessment and Prediction of Grain Production Considering Climate Change and Air Pollution in China," Sustainability, MDPI, vol. 14(15), pages 1-22, July.
    2. Mwaka Kayula & Collins Otieno Odoyo & Chanda Sichinsambwe, 2022. "Effects of Crop Insurance and Finance on Small-Scale Maize Productivity in Zambia," International Business Research, Canadian Center of Science and Education, vol. 15(10), pages 1-48, October.
    3. Xiaojun Huang & Yanyu Li & Yuhui Guo & Dianyuan Zheng & Mingyue Qi, 2020. "Assessing Urban Risk to Extreme Heat in China," Sustainability, MDPI, vol. 12(7), pages 1-17, April.
    4. Yuhe Ji & Guangsheng Zhou & Qijin He & Lixia Wang, 2018. "The Effect of Climate Change on Spring Maize ( Zea mays L.) Suitability across China," Sustainability, MDPI, vol. 10(10), pages 1-10, October.
    5. Ran Wang & Yao Jiang & Peng Su & Jing’ai Wang, 2019. "Global Spatial Distributions of and Trends in Rice Exposure to High Temperature," Sustainability, MDPI, vol. 11(22), pages 1-53, November.
    6. Gao, Haihe & Yan, Changrong & Liu, Qin & Li, Zhen & Yang, Xiao & Qi, Ruimin, 2019. "Exploring optimal soil mulching to enhance yield and water use efficiency in maize cropping in China: A meta-analysis," Agricultural Water Management, Elsevier, vol. 225(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Abdoul G. Sam & Babatunde O. Abidoye & Sihle Mashaba, 2021. "Climate change and household welfare in sub-Saharan Africa: empirical evidence from Swaziland," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 13(2), pages 439-455, April.
    2. Alejandro Lopez-Feldman, 2013. "Climate change, agriculture, and poverty: A household level analysis for rural Mexico," Economics Bulletin, AccessEcon, vol. 33(2), pages 1126-1139.
    3. Jayatilleke S. Bandara & Yiyong Cai, 2014. "The impact of climate change on food crop productivity, food prices and food security in South Asia," Economic Analysis and Policy, Elsevier, vol. 44(4), pages 451-465.
    4. Liu, Xing & Lehtonen, Heikki & Purola, Tuomo & Pavlova, Yulia & Rötter, Reimund & Palosuo, Taru, 2016. "Dynamic economic modelling of crop rotations with farm management practices under future pest pressure," Agricultural Systems, Elsevier, vol. 144(C), pages 65-76.
    5. Chalise, Sudarshan & Naranpanawa, Athula & Bandara, Jayatilleke S. & Sarker, Tapan, 2017. "A general equilibrium assessment of climate change–induced loss of agricultural productivity in Nepal," Economic Modelling, Elsevier, vol. 62(C), pages 43-50.
    6. Eshita Gupta & Bharat Ramaswami & E. Somanathan, 2021. "The Distributional Impact of Climate Change: Why Food Prices Matter," Economics of Disasters and Climate Change, Springer, vol. 5(2), pages 249-275, July.
    7. Catherine L. Kling & Raymond W. Arritt & Gray Calhoun & David A. Keiser, 2016. "Research Needs and Challenges in the FEW System: Coupling Economic Models with Agronomic, Hydrologic, and Bioenergy Models for Sustainable Food, Energy, and Water Systems," Center for Agricultural and Rural Development (CARD) Publications 16-wp563, Center for Agricultural and Rural Development (CARD) at Iowa State University.
    8. Shinichiro Fujimori & Tomoko Hasegawa & Volker Krey & Keywan Riahi & Christoph Bertram & Benjamin Leon Bodirsky & Valentina Bosetti & Jessica Callen & Jacques Després & Jonathan Doelman & Laurent Drou, 2019. "A multi-model assessment of food security implications of climate change mitigation," Nature Sustainability, Nature, vol. 2(5), pages 386-396, May.
    9. Munir Ahmed & Ghulam Mustafa & Muhammad Iqbal, 2016. "Impact of Farm Households’ Adaptations to Climate Change on Food Security: Evidence from Different Agro-ecologies of Pakistan," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 55(4), pages 561-588.
    10. Balistreri, Edward J. & Tarr, David G., 2011. "Services Liberalization in Preferential Trade Arrangements: The Case of Kenya," Conference papers 332152, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    11. Phemelo Tamasiga & Helen Onyeaka & Adenike Akinsemolu & Malebogo Bakwena, 2023. "The Inter-Relationship between Climate Change, Inequality, Poverty and Food Security in Africa: A Bibliometric Review and Content Analysis Approach," Sustainability, MDPI, vol. 15(7), pages 1-35, March.
    12. Randell, Heather & Jiang, Chengsheng & Liang, Xin-Zhong & Murtugudde, Raghu & Sapkota, Amir, 2021. "Food insecurity and compound environmental shocks in Nepal: Implications for a changing climate," World Development, Elsevier, vol. 145(C).
    13. Mun Ho & Wolfgang Britz & Ruth Delzeit & Florian Leblanc & Roberto Roson & Franziska Schuenemann & Matthias Weitzel, 2020. "Modelling Consumption and Constructing Long-Term Baselines in Final Demand," Journal of Global Economic Analysis, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University, vol. 5(1), pages 63-108, June.
    14. Montaud, Jean-Marc & Pecastaing, Nicolas & Tankari, Mahamadou, 2017. "Potential socio-economic implications of future climate change and variability for Nigerien agriculture: A countrywide dynamic CGE-Microsimulation analysis," Economic Modelling, Elsevier, vol. 63(C), pages 128-142.
    15. T. S. Amjath-Babu & Pramod K. Aggarwal & Sonja Vermeulen, 2019. "Climate action for food security in South Asia? Analyzing the role of agriculture in nationally determined contributions to the Paris agreement," Climate Policy, Taylor & Francis Journals, vol. 19(3), pages 283-298, March.
    16. Jerome Dumortier & Miguel Carriquiry & Amani Elobeid, 2021. "Impact of climate change on global agricultural markets under different shared socioeconomic pathways," Agricultural Economics, International Association of Agricultural Economists, vol. 52(6), pages 963-984, November.
    17. Saeed Nosratabadi & Sina Ardabili & Zoltan Lakner & Csaba Mako & Amir Mosavi, 2021. "Prediction of Food Production Using Machine Learning Algorithms of Multilayer Perceptron and ANFIS," Papers 2104.14286, arXiv.org.
    18. Sudarshan Chalise & Dr Athula Naranpanawa, 2016. "Climate change adaptation in agriculture: A general equilibrium analysis of land re-allocation in Nepal," EcoMod2016 9272, EcoMod.
    19. Briones, Roehlano & Felipe, Jesus, 2013. "Agriculture and Structural Transformation in Developing Asia: Review and Outlook," ADB Economics Working Paper Series 363, Asian Development Bank.
    20. Brian C. Thiede & Sara Ronnkvist & Anna Armao & Katrina Burka, 2022. "Climate anomalies and birth rates in sub-Saharan Africa," Climatic Change, Springer, vol. 171(1), pages 1-20, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:nathaz:v:91:y:2018:i:3:d:10.1007_s11069-018-3181-7. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.