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Assessing the harvested area gap in China

Author

Listed:
  • Yu, Qiangyi
  • Wu, Wenbin
  • You, Liangzhi
  • Zhu, Tingju
  • van Vliet, Jasper
  • Verburg, Peter H.
  • Liu, Zhenhuan
  • Li, Zhengguo
  • Yang, Peng
  • Zhou, Qingbo
  • Tang, Huajun

Abstract

Total crop production is a function of the harvested area and the yield. Many studies have investigated opportunities to increase production by closing the yield gap and by expanding cropland area. However, the potential to increase the harvested area by increasing the cropping frequency on existing cropland has remained largely unexplored. Our study suggests that the attainable harvested area gap (HAG) in China ranges from 13.5 to 36.3 million ha, depending on the selected water allocation scenario, relative to the current harvested area of 160.0 million ha. Spatially, South China and the Lower Yangtze region have the largest potential to increase harvested area, as these regions allow triple-cropping, have sufficient water available, and have a good irrigation infrastructure. The results imply that management factors are equally important for exploring the potential against the resource endowment: water allocation has a large impact on both the size and the spatial pattern of the attainable HAG. This indicates the necessity of further examining the spatial-temporal dynamics of HAG at national and regional scales, and its potential contribution to food security and sustainable agricultural development.

Suggested Citation

  • Yu, Qiangyi & Wu, Wenbin & You, Liangzhi & Zhu, Tingju & van Vliet, Jasper & Verburg, Peter H. & Liu, Zhenhuan & Li, Zhengguo & Yang, Peng & Zhou, Qingbo & Tang, Huajun, 2017. "Assessing the harvested area gap in China," Agricultural Systems, Elsevier, vol. 153(C), pages 212-220.
    • Handle: RePEc:eee:agisys:v:153:y:2017:i:c:p:212-220
    DOI: 10.1016/j.agsy.2017.02.003
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    1. Neumann, Kathleen & Verburg, Peter H. & Stehfest, Elke & Müller, Christoph, 2010. "The yield gap of global grain production: A spatial analysis," Agricultural Systems, Elsevier, vol. 103(5), pages 316-326, June.
    2. You, Liangzhi & Wood, Stanley & Wood-Sichra, Ulrike & Wu, Wenbin, 2014. "Generating global crop distribution maps: From census to grid," Agricultural Systems, Elsevier, vol. 127(C), pages 53-60.
    3. Anonymous, 2013. "Introduction to the Issue," Journal of Wine Economics, Cambridge University Press, vol. 8(3), pages 243-243, December.
    4. Anonymous, 2013. "Introduction to the Issue," Journal of Wine Economics, Cambridge University Press, vol. 8(2), pages 129-130, November.
    5. Deepak K. Ray & Navin Ramankutty & Nathaniel D. Mueller & Paul C. West & Jonathan A. Foley, 2012. "Recent patterns of crop yield growth and stagnation," Nature Communications, Nature, vol. 3(1), pages 1-7, January.
    6. Wolfram Mauser & Gernot Klepper & Florian Zabel & Ruth Delzeit & Tobias Hank & Birgitta Putzenlechner & Alvaro Calzadilla, 2015. "Global biomass production potentials exceed expected future demand without the need for cropland expansion," Nature Communications, Nature, vol. 6(1), pages 1-11, December.
    7. Swinkels, R.A. & Franzel, S. & Shepherd, K.D. & Ohlsson, E. & Ndufa, J.K., 1997. "The economics of short rotation improved fallows: evidence from areas of high population density in Western Kenya," Agricultural Systems, Elsevier, vol. 55(1), pages 99-121, September.
    8. Robinson, Sherman & Mason d'Croz, Daniel & Islam, Shahnila & Sulser, Timothy B. & Robertson, Richard D. & Zhu, Tingju & Gueneau, Arthur & Pitois, Gauthier & Rosegrant, Mark W., 2015. "The International Model for Policy Analysis of Agricultural Commodities and Trade (IMPACT): Model description for version 3:," IFPRI discussion papers 1483, International Food Policy Research Institute (IFPRI).
    9. Nathaniel D. Mueller & James S. Gerber & Matt Johnston & Deepak K. Ray & Navin Ramankutty & Jonathan A. Foley, 2012. "Closing yield gaps through nutrient and water management," Nature, Nature, vol. 490(7419), pages 254-257, October.
    10. Weifeng Zhang & Guoxin Cao & Xiaolin Li & Hongyan Zhang & Chong Wang & Quanqing Liu & Xinping Chen & Zhenling Cui & Jianbo Shen & Rongfeng Jiang & Guohua Mi & Yuxin Miao & Fusuo Zhang & Zhengxia Dou, 2016. "Closing yield gaps in China by empowering smallholder farmers," Nature, Nature, vol. 537(7622), pages 671-674, September.
    11. Erb, Karl-Heinz & Haberl, Helmut & Jepsen, Martin Rudbeck & Kuemmerle, Tobias & Lindner, Marcus & Müller, Daniel & Verburg, Peter H & Reenberg, Anette, 2013. "A conceptual framework for analysing and measuring land-use intensity," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 5(5), pages 464-470.
    12. Patricio Grassini & Kent M. Eskridge & Kenneth G. Cassman, 2013. "Distinguishing between yield advances and yield plateaus in historical crop production trends," Nature Communications, Nature, vol. 4(1), pages 1-11, December.
    Full references (including those not matched with items on IDEAS)

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