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Regional Water and Soil Assessment for Managing Sustainable Agriculture in China and Australia

Editor

Listed:
  • McVicar, Tim R.
  • Rui, Li
  • Walker, Joe
  • Fitzpatrick, Rob W.
  • Changming, Liu

Abstract

Many environmental problems are caused by changes in aspects of the hydrological cycle. Water balance modelling combined with field experiments can give us a better understanding of the components of the hydrological cycle from which to develop appropriate management options. Water balance models can be constructed at any level of complexity. In simple ‘bucket’ models only the most important processes are represented. When appropriately used, bucket models can provide useful insights into the functional behaviour of a system. Complex models are needed to understand complex feedbacks and interactions among different processes of the system. However, increasing the complexity of a model does not necessarily lead to a more accurate model and it is essential that model complexity matches the availability of data. The key to successful water balance modelling is to have a clearly defined objective and to select an appropriate model. This chapter outlines the principles of water balance modelling and explains how models can be used in crop management.

Suggested Citation

  • McVicar, Tim R. & Rui, Li & Walker, Joe & Fitzpatrick, Rob W. & Changming, Liu (ed.), 2002. "Regional Water and Soil Assessment for Managing Sustainable Agriculture in China and Australia," Monographs, Australian Centre for International Agricultural Research, number 114792.
  • Handle: RePEc:ags:aciarm:114792
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    Citations

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    Cited by:

    1. Pascual, Miquel & Villar, Josep M. & Rufat, Josep, 2016. "Water use efficiency in peach trees over a four-years experiment on the effects of irrigation and nitrogen application," Agricultural Water Management, Elsevier, vol. 164(P2), pages 253-266.
    2. Zhen, Lin & Cao, Shuyan & Cheng, Shengkui & Xie, Gaodi & Wei, Yunjie & Liu, Xuelin & Li, Fen, 2010. "Arable land requirements based on food consumption patterns: Case study in rural Guyuan District, Western China," Ecological Economics, Elsevier, vol. 69(7), pages 1443-1453, May.
    3. Wang, Enli & Smith, Chris J. & Macdonald, Ben C.T. & Hunt, James R. & Xing, Hongtao & Denmead, O.T. & Zeglin, Steve & Zhao, Zhigan & Isaac, Peter, 2018. "Making sense of cosmic-ray soil moisture measurements and eddy covariance data with regard to crop water use and field water balance," Agricultural Water Management, Elsevier, vol. 204(C), pages 271-280.
    4. Gao, Xiaoyu & Huo, Zailin & Xu, Xu & Qu, Zhongyi & Huang, Guanhua & Tang, Pengcheng & Bai, Yining, 2018. "Shallow groundwater plays an important role in enhancing irrigation water productivity in an arid area: The perspective from a regional agricultural hydrology simulation," Agricultural Water Management, Elsevier, vol. 208(C), pages 43-58.
    5. Mishra, Mukunda & Chatterjee, Soumendu, 2018. "Application of Analytical Hierarchy Process (AHP) algorithm to income insecurity susceptibility mapping – A study in the district of Purulia, India," Socio-Economic Planning Sciences, Elsevier, vol. 62(C), pages 56-74.
    6. Wang, Xuehong & Bennett, Jeff & Xie, Chen & Zhang, Zhitao & Liang, Dan, 2007. "Estimating non-market environmental benefits of the Conversion of Cropland to Forest and Grassland Program: A choice modeling approach," Ecological Economics, Elsevier, vol. 63(1), pages 114-125, June.
    7. Mueller, Lothar & Behrendt, Axel & Schalitz, Gisbert & Schindler, Uwe, 2005. "Above ground biomass and water use efficiency of crops at shallow water tables in a temperate climate," Agricultural Water Management, Elsevier, vol. 75(2), pages 117-136, July.

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    Keywords

    Resource /Energy Economics and Policy;

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