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	Modeling the response of rice phenology to climate change and variability in different climatic zones: Comparisons of five models
	Zhang S. ; Tao F. L.
	2013
关键词	Climate change Extreme temperature Maturity date Phenology change Rice phenology model temperate trees change impacts day length china growth radiation patterns quantify
英文摘要	Crop models have been widely used in simulating and predicting changes in rice phenology in the major rice production regions of China, however the uncertainties in simulating crop phenology at a large scale and from different models were rarely investigated. In the present study, five rice phenological models/modules (i.e., CERES-Rice, ORYZA2000, RCM, Beta Model, SIMRIW) were firstly calibrated and validated based on a large number of rice phenological observations across China during 1981-2009. The inner workings of the models, as well as the simulated phenological response to climate change/variability, were compared to determine if the models adequately handled climatic changes and climatic variability. Results showed these models simulated rice phenological development over a large area fairly well after calibration, although the relative performance of the models varied in different regions. The simulated changes in rice phenology were generally consistent when temperatures were below the optimum; however varied largely when temperatures were above the optimum. The simulated rice growing season under future climate scenarios was shortened by about 0.45-5.78 days; but in northeastern China, increased temperature variability may prolong the growing season of rice. We concluded more modeling and experimental studies should be conducted to accelerate understanding of rice phenology development under extreme temperatures. (c) 2012 Elsevier B.V. All rights reserved.
出处	European Journal of Agronomy
卷	45
页	165-176
收录类别	SCI
语种	英语
ISSN号	1161-0301
内容类型	SCI/SSCI论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/30040]
专题	地理科学与资源研究所_历年回溯文献
推荐引用方式 GB/T 7714	Zhang S.,Tao F. L.. Modeling the response of rice phenology to climate change and variability in different climatic zones: Comparisons of five models. 2013.

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