Estimating potential yield of wheat production in China based on cross-scale data-model fusion

Tian, Zhan; Zhong, Honglin; Shi, Runhe; Sun, Laixiang; Fischer, Günther; Liang, Zhuoran

Abstract

The response of the agro-ecological system to the environment includes the response of individual crop 19s
physiologic process and the adaption of the crop community
to the environment. Observation and simulation at the
single scale level cannot fully explain the above process. It is necessary to develop cross-scale agro-ecological models and study the interaction of agro-ecological processes across different scales. In this research, two typical agroecological models, the Decision Support System for Agrotechnology Transfer (DSSAT) model and the Agroecological Zone (AEZ) model, are employed, and a
framework for effective cross-scale data-model fusion is
proposed and illustrated. The national observed data from
36 different agricultural observation stations and historical weather stations (1962-1999) are employed to estimate average crop productivity. Comparison of the two models 19 estimations are consistent, which would indicate the
possibility of cross-scale crop model fusion.

Citation

Tian, Z., Zhong, H., Shi, R., Sun, L., Fischer, G., & Liang, Z. (2012). Estimating potential yield of wheat production in China based on cross-scale data-model fusion. Frontiers of Earth Science, 6(4), 364-372. https://doi.org/10.1007/s11707-012-0332-0

• Journal Article Type: Article
• Publication Date: Dec 1, 2012
• Deposit Date: Dec 4, 2012
• Print ISSN: 2095-0195
• Electronic ISSN: 2095-0209
• Publisher: Springer
• Peer Reviewed: Peer Reviewed
• Volume: 6
• Issue: 4
• Pages: 364-372
• DOI: https://doi.org/10.1007/s11707-012-0332-0
• Keywords: DSSAT model, AEZ model, data-model fusion, agro-ecological system