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

摘要

The response of the agro-ecological system to the environment includes the response of individual crop’s 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’ estimations are consistent, which would indicate the possibility ofcross-scale crop model fusion.