Improving rice development and phenology prediction across contrasting climate zones of China
文献类型：期刊论文
| 作者 | Zhang, Shuai3; Tao, Fulu1,2,3
|
| 刊名 | AGRICULTURAL AND FOREST METEOROLOGY
 |
| 出版日期 | 2019-04-15 |
| 卷号 | 268页码:224-233 |
| 关键词 | Rice model Extreme temperature Rice development rate Uncertainty Crop model improvement |
| ISSN号 | 0168-1923 |
| DOI | 10.1016/j.agrformet.2019.01.019 |
| 通讯作者 | Tao, Fulu(taofl@igsnrr.ac.cn) |
| 英文摘要 | Modelling rice development rate and phenology is crucial for robust yield prediction. However significant uncertainties originating from the temperature response functions in rice models exist. In this study, both the Wang-Engel temperature response function and the Johnson temperature response function were coupled in the MCWLA-Rice model and evaluated at 10 agro-meteorological experiment stations located in contrasting climate zones across China. Results show that the MCWLA-Rice model with the Wang-Engel temperature response function is able to improve the predictions of heading and maturity date for double season rice at the stations in the middle and lower reaches of the Yangtze River. Mean improvements were 23.5% and 25.1%, respectively. The MCWLA-Rice model with the Johnson temperature response function is able to improve the predictions of heading date by 26.2% and maturity date by 22.9% on average at all stations. At the locations characterised by high temperature stress conditions, both the Wang-Engel and the Johnson temperature response functions are able to improve predictions of heading and maturity date, nevertheless the improvement is not as pronounced as for those locations not suffered from high temperature stress. These results demonstrate how rice phenology simulation can be improved, yet suggest that further improvements should be made to reproduce phenology in locations suffering from heat stress. This study highlights the value of environment-controlled experiments on the effects of exceeding threshold temperatures from several hours to several days on instantaneous crop development rate and improving crop phenology simulations. |
| WOS关键词 | INDUCED SPIKELET STERILITY ; HIGH-TEMPERATURE STRESS ; TASSEL INITIATION ; MODEL STRUCTURE ; SPRING WHEAT ; RESPONSES ; UNCERTAINTIES ; PRODUCTIVITY ; IMPACTS ; GROWTH |
| 资助项目 | National Key R&D Program of China[2016YFD0300201] ; National Science Foundation of China[41801078] ; National Science Foundation of China[31561143003] ; National Science Foundation of China[41571088] |
| WOS研究方向 | Agriculture ; Forestry ; Meteorology & Atmospheric Sciences |
| 语种 | 英语 |
| WOS记录号 | WOS:000460844700023 |
| 出版者 | ELSEVIER SCIENCE BV |
| 资助机构 | National Key R&D Program of China ; National Science Foundation of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/49153]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Tao, Fulu |
| 作者单位 | 1.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China 2.Nat Resources Inst Finland Luke, FI-00790 Helsinki, Finland 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhang, Shuai,Tao, Fulu. Improving rice development and phenology prediction across contrasting climate zones of China[J]. AGRICULTURAL AND FOREST METEOROLOGY,2019,268:224-233. |
| APA | Zhang, Shuai,&Tao, Fulu.(2019).Improving rice development and phenology prediction across contrasting climate zones of China.AGRICULTURAL AND FOREST METEOROLOGY,268,224-233. |
| MLA | Zhang, Shuai,et al."Improving rice development and phenology prediction across contrasting climate zones of China".AGRICULTURAL AND FOREST METEOROLOGY 268(2019):224-233. |
入库方式： OAI收割
来源：地理科学与资源研究所
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