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Scale dependence and parameter sensitivity of the EPIC model in the agro-pastoral transitional zone of north China

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  • Qiao, Jianmin
  • Cao, Qian
  • Liu, Yupeng
  • Wu, Quanyuan

Abstract

Under the background of rapid population growth, achieving accurate assessments of crop yields is critical to national policy adjustment and food security. Among all the evaluation methods for crop yields, the Environmental Policy Integrated Climate (EPIC) model is considered to be an effective tool. Since published, it has been widely applied on local, regional, and global scales. However, in its practical applications, the impact of scale variation on the simulation results has not received full consideration. The scale variation can introduce many uncertain effects in the simulation results. Furthermore, as a basis for parameter calibration, parameters sensitivity analyses were always been ignored at large scale studies. In this study, we used the GIS-based EPIC (GEPIC) model to assess the simulation accuracies at different scales and local sensitivity analysis was adopted to analyze the sensitivity of the crop parameters in each grid first time. The results showed that EPIC model has scale-dependence and the smaller the scale is, the more accurate the results are. The most sensitive parameter of maize and soybeans is the energy conversion to biomass factor (WA) in the agro-pastoral transitional zone of north China, whereas the harvest index (HI) is the most sensitive parameter for the three other crops of rice, spring wheat, and winter wheat. For the same crop, parameter sensitivity is heterogeneous in space due to varied input variables. In addition, we find that parameters sensitivities (Si) vary as the parameters and the variations in Si for the five parameters are different. Excluding the Si of HI for spring wheat which has the greatest change and the variation is nearly 0.5, the Si of other parameters change slightly. In the application of GEPIC model, we should consider the effects of scale variation on crop yields, particular for areas with high heterogeneity of cropland patches. In addition, this study provides a reference for setting the input parameters of the EPIC model.

Suggested Citation

  • Qiao, Jianmin & Cao, Qian & Liu, Yupeng & Wu, Quanyuan, 2018. "Scale dependence and parameter sensitivity of the EPIC model in the agro-pastoral transitional zone of north China," Ecological Modelling, Elsevier, vol. 390(C), pages 51-61.
    • Handle: RePEc:eee:ecomod:v:390:y:2018:i:c:p:51-61
    DOI: 10.1016/j.ecolmodel.2018.10.021
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    1. Gerald C. Nelson & Richard D. Robertson, 2008. "Green Gold or Green Wash: Environmental Consequences of Biofuels in the Developing World," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 30(3), pages 517-529.
    2. You, Liangzhi & Wood, Stanley, 2006. "An entropy approach to spatial disaggregation of agricultural production," Agricultural Systems, Elsevier, vol. 90(1-3), pages 329-347, October.
    3. Xiong, Wei & Balkovič, Juraj & van der Velde, Marijn & Zhang, Xuesong & Izaurralde, R. César & Skalský, Rastislav & Lin, Erda & Mueller, Nathan & Obersteiner, Michael, 2014. "A calibration procedure to improve global rice yield simulations with EPIC," Ecological Modelling, Elsevier, vol. 273(C), pages 128-139.
    4. Guang Wan & Enjiang Cheng, 2001. "Effects of land fragmentation and returns to scale in the Chinese farming sector," Applied Economics, Taylor & Francis Journals, vol. 33(2), pages 183-194.
    5. Ye, Liming & Tang, Huajun & Wu, Wenbin & Yang, Peng & Nelson, Gerald C. & Mason-D'Croz, Daniel & Palazzo, Amanda, 2014. "Chinese food security and climate change: Agriculture futures," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 8, pages 1-39.
    6. Zhongyi Sun & JiQuan Zhang & DengHua Yan & Lan Wu & Enliang Guo, 2015. "The impact of irrigation water supply rate on agricultural drought disaster risk: a case about maize based on EPIC in Baicheng City, China," 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. 78(1), pages 23-40, August.
    7. Haggblade, Steven & Longabaugh, Steven & Tschirley, David L., 2009. "Spatial Patterns of Food Staple Production and Marketing in South East Africa: Implications for Trade Policy and Emergency Response," Food Security International Development Working Papers 54553, Michigan State University, Department of Agricultural, Food, and Resource Economics.
    8. Neumann, Kathleen & Stehfest, Elke & Verburg, Peter H. & Siebert, Stefan & Müller, Christoph & Veldkamp, Tom, 2011. "Exploring global irrigation patterns: A multilevel modelling approach," Agricultural Systems, Elsevier, vol. 104(9), pages 703-713.
    9. Su, Shiliang & Hu, Yi’na & Luo, Fanghan & Mai, Gengchen & Wang, Yaping, 2014. "Farmland fragmentation due to anthropogenic activity in rapidly developing region," Agricultural Systems, Elsevier, vol. 131(C), pages 87-93.
    10. Liu, Junguo & Williams, Jimmy R. & Zehnder, Alexander J.B. & Yang, Hong, 2007. "GEPIC - modelling wheat yield and crop water productivity with high resolution on a global scale," Agricultural Systems, Elsevier, vol. 94(2), pages 478-493, May.
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