Evaluation of CropSyst model embedded in BioMa platform in simulating the yield of winter wheat in North China

文献类型： 外文期刊

第一作者： Huang Qing

作者： Huang Qing;Liu Hang;Wu Wenbin;Chen Zhongxin

作者机构：

关键词： Biophysical model application;Modelling solutions;CropSys;Yield predition;Modeling Efficiency;Winter wheat;Huang-Huai-Hai Plain;North China

期刊名称：2016 FIFTH INTERNATIONAL CONFERENCE ON AGRO-GEOINFORMATICS (AGRO-GEOINFORMATICS)

ISSN： 2334-3168

年卷期： 2016 年

页码：

收录情况： SCI

摘要： CropSyst is an advanced model for crop growth simulation in the world; it is a multi-year, multi-crop, daily time step cropping systems simulation model developed to serve as an analytical tool to study the effect of climate, soils, and management on cropping systems productivity and the environment. BioMA(Biophysical Model Application) developed by European Commission Joint Research Center is an application for analyzing, parameterizing and running modelling solutions based on biophysical models against a database which includes spatially explicit units. Now, the CropSyst model has been embedded in BioMa platform with some improvements, for example, with less default parameters, different model algorithm and more user-friendly interface, and links to other model solutions etc. Based on the latest CropSyst model embedded in BioMa platform, and using field measured soil, crop phenology, LAI, above ground biomass, yield and management data from 2012 to 2014 which come from 11 counties of winter wheat main production areas in Hengshui city, Hebei province, China, this paper analyzed the CropSyst model use conditions and calibrated some model parameters and then evaluated the CropSyst model by comparing model estimated data with field data. The results showed that the Pearson's correlation coefficient of CropSyst model in simulating winter wheat yield reached 0.97 averagely, the Modeling Efficiency (EF) is 0.93, the Index Of Agreement (IOA) is 0.98. This study got a set of parameters that proved to be suitable to simulate winter wheat growth process and production in North China after calibration and validation to default parameters. This research showed that the improved CropSyst model embed in BioMa platform has good use effect in simulating winter wheat yield in China North China, and is promising in simulating other crops growth process.

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