Linking a farmer crop selection model (FCS) with an agronomic model (EPIC) to simulate cropping pattern in Northeast China

doi:10.1016/S2095-3119(15)61247-3

Journal of Integrative Agriculture ›› 2016, Vol. 15 ›› Issue (10): 2417-2425.DOI: 10.1016/S2095-3119(15)61247-3

收稿日期:2015-10-26 出版日期:2016-10-01 发布日期:2016-10-01

Linking a farmer crop selection model (FCS) with an agronomic model (EPIC) to simulate cropping pattern in Northeast China

HE Ying-bin^{1, 2}, CAI Wei-min²

¹ Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, P.R.China
² Management School, Tianjin Polytechnic University, Tianjin 300387, P.R.China

Received:2015-10-26 Online:2016-10-01 Published:2016-10-01
Contact: CAI Wei-min, Tel/Fax: +86-22-83956271, E-mail: 2771215@sina.com
About author:HE Ying-bin, Tel: +86-10-82106225, E-mail: heyingbin@caas.cn
Supported by:
This research was funded by the National Natural Science Foundation of China (41001049, 2011–2013) and the China Regional Arable Land Resources Changes and its Warning - A Case Study in Northeast China, Ministry of Science and Technology of China (2004DIB3J092, 2003–2008).

摘要/Abstract

Abstract: In this paper, authors established a farmer crop selection model (FCS) for the three provinces of Liaoning, Jilin and Heilongjiang of the Northeast China. With linking to the environmental policy integrated climate model (EPIC), the simulated results of FCS model for maize, rice and soybean were spatialized with 1 km×1 km grids to obtain cropping pattern. The reference map of spatial distribution for the three staple crops acquired by remote sensing imageries was applied to validate the simulated cropping pattern. The results showed that (1) the total simulation accuracy for the study area was 78.62%, which proved simulation method was applicable and feasible; (2) simulation accuracy for Jilin Province was the highest among the three provinces with a rate of 82.45% since its simple cropping system and not complex topography; (3) simulation accuracy for maize was the best among the three staple crops with a ratio of 81.14% because the study area is very suitable for maize growth. We hope this study could provide the reference for cropping pattern forecasting and decision-making.

Key words: cropping pattern , staple crops , EPIC model , FCS model , simulation

HE Ying-bin, CAI Wei-min. [J]. Journal of Integrative Agriculture, 2016, 15(10): 2417-2425.

HE Ying-bin, CAI Wei-min. Linking a farmer crop selection model (FCS) with an agronomic model (EPIC) to simulate cropping pattern in Northeast China[J]. Journal of Integrative Agriculture, 2016, 15(10): 2417-2425.

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Linking a farmer crop selection model (FCS) with an agronomic model (EPIC) to simulate cropping pattern in Northeast China

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