A calibration procedure to improve global rice yield simulations with EPIC
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DOI: 10.1016/j.ecolmodel.2013.10.026
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- Food and Agricultural Organization [FAO], 2016. "Climate Change and Food Systems: Global Assessments and Implications for Food Security and Trade," Working Papers id:8512, eSocialSciences.
- 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.
- Zhang, Yuanhong & Peng, Xingxing & Ning, Fang & Dong, Zhaoyang & Wang, Rui & Li, Jun, 2022. "Assessing the response of orchard productivity to soil water depletion using field sampling and modeling methods," Agricultural Water Management, Elsevier, vol. 273(C).
- Wang, Zhiqiang & Ye, Li & Jiang, Jingyi & Fan, Yida & Zhang, Xiaoran, 2022. "Review of application of EPIC crop growth model," Ecological Modelling, Elsevier, vol. 467(C).
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- Dennis Junior Choruma & Frank Chukwuzuoke Akamagwuna & Nelson Oghenekaro Odume, 2022. "Simulating the Impacts of Climate Change on Maize Yields Using EPIC: A Case Study in the Eastern Cape Province of South Africa," Agriculture, MDPI, vol. 12(6), pages 1-24, May.
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Keywords
Global calibration; Crop model; Rice; EPIC;All these keywords.
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