Evaluation of global gridded crop models (GGCMs) for the simulation of major grain crop yields in China
文献类型：期刊论文
| 作者 | Li, Zhonghe1,2; Zhan, Chesheng1,3; Hu, Shi4; Ning, Like1,3; Wu, Lanfang1,3; Guo, Hai2,4 |
| 刊名 | HYDROLOGY RESEARCH
 |
| 出版日期 | 2022-03-08 |
| 页码 | 17 |
| 关键词 | China food security global gridded crop model (GGCM) model comparison multimodel ensemble yield gap |
| ISSN号 | 1998-9563 |
| DOI | 10.2166/nh.2022.087 |
| 通讯作者 | Zhan, Chesheng(zhancs@igsnrr.ac.cn) |
| 英文摘要 | Multimodel ensembles are powerful tools for evaluating agricultural production. Multimodel simulation results provided by the Global Gridded Crop Model Intercomparison (GGCMI) facilitate the evaluation of grain production situation in China. With census crop yield data, the performance of nine global gridded crop models (GGCMs) in China was evaluated, and the yield gaps of four crops (maize, rice, soybean, and wheat) were estimated. The results showed that GGCMs better simulated maize yields than those of other crops in the northeast, north, northwest, east, and center. GEPIC (CLM-CROP) performed best in simulating maize (wheat) yield in the north, east, and northwest (southwest and south), due to reasonable parameter (cultivar and phenology parameters) settings. Because the rice phenology parameters were calibrated against phenological observation networks and a simple nitrogen limitation index was introduced, ORCHIDEE-CROP performed well in rice yield simulation and soybean yield simulation (center and southwest). Among four crops, wheat has the largest yield gap (7.3-14.1%), in which the poor soil of northwest (14.1%) exposes wheat to relatively high nutritional stress. Thus, in northwest China, optimizing nitrogen management in wheat production can effectively mitigate the negative impact of climate change on crop production. |
| WOS关键词 | CLIMATE-CHANGE ; WINTER-WHEAT ; USE EFFICIENCY ; FOOD SECURITY ; GAP ANALYSIS ; MAIZE ; MANAGEMENT ; POTENTIALS ; RICE ; OPPORTUNITIES |
| 资助项目 | National Key R&D Program of China[2017YFA0603702] ; National Natural Science Foundation of China[41701023] ; National Natural Science Foundation of China[51809105] ; Agricultural Intercomparison and Improvement Project (AgMIP) |
| WOS研究方向 | Water Resources |
| 语种 | 英语 |
| WOS记录号 | WOS:000768592300001 |
| 出版者 | IWA PUBLISHING |
| 资助机构 | National Key R&D Program of China ; National Natural Science Foundation of China ; Agricultural Intercomparison and Improvement Project (AgMIP) |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/172778]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Zhan, Chesheng |
| 作者单位 | 1.Chinese Acad Sci, Key Lab Ecosyst Network Observat & Modeling, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Chinese Acad Sci, Yucheng Comprehens Expt Stn, Beijing 100101, Peoples R China 4.Chinese Acad Sci, Key Lab Water Cycle & Related Land Surface Proc, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Li, Zhonghe,Zhan, Chesheng,Hu, Shi,et al. Evaluation of global gridded crop models (GGCMs) for the simulation of major grain crop yields in China[J]. HYDROLOGY RESEARCH,2022:17. |
| APA | Li, Zhonghe,Zhan, Chesheng,Hu, Shi,Ning, Like,Wu, Lanfang,&Guo, Hai.(2022).Evaluation of global gridded crop models (GGCMs) for the simulation of major grain crop yields in China.HYDROLOGY RESEARCH,17. |
| MLA | Li, Zhonghe,et al."Evaluation of global gridded crop models (GGCMs) for the simulation of major grain crop yields in China".HYDROLOGY RESEARCH (2022):17. |
入库方式： OAI收割
来源：地理科学与资源研究所
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