Improving rice development and phenology prediction across contrasting climate zones of China

doi:10.1016/j.agrformet.2019.01.019

	Improving rice development and phenology prediction across contrasting climate zones of China
	Zhang, Shuai 1; Tao, Fulu 1,2,3
刊名	AGRICULTURAL AND FOREST METEOROLOGY
	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.
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关键词	INDUCED SPIKELET STERILITY ; HIGH-TEMPERATURE STRESS ; TASSEL INITIATION ; MODEL STRUCTURE ; SPRING WHEAT ; RESPONSES ; UNCERTAINTIES ; PRODUCTIVITY ; IMPACTS ; GROWTH
WOS研究方向	Agriculture ; Forestry ; Meteorology & Atmospheric Sciences
语种	英语
出版者	ELSEVIER SCIENCE BV
WOS记录号	WOS:000460844700023
资助机构	National Key R&D Program of China ; National Science Foundation of China
内容类型	期刊论文
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.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China 3.Nat Resources Inst Finland Luke, FI-00790 Helsinki, Finland
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.