A Novel Large-Scale Temperature Dominated Model for Predicting the End of the Growing Season

doi:10.1371/journal.pone.0167302

IMR OpenIR

	A Novel Large-Scale Temperature Dominated Model for Predicting the End of the Growing Season
	Fu, Yang 1,2; Zheng, Zeyu 1,2; Shi, Haibo 1,2; Xiao, Rui 3
通讯作者	Zheng, Zeyu(zhengzeyu@sia.cn)
	2016-11-28
发表期刊	PLOS ONE
ISSN	1932-6203
卷号	11 期号:11 页码:13
摘要	Vegetation phenology regulates many ecosystem processes and is an indicator of the biological responses to climate change. It is important to model the timing of leaf senescence accurately, since the canopy duration and carbon assimilation are strongly determined by the timings of leaf senescence. However, the existing phenology models are unlikely to accurately predict the end of the growing season (EGS) on large scales, resulting in the misrepresentation of the seasonality and interannual variability of biosphere-atmosphere feedbacks and interactions in coupled global climate models. In this paper, we presented a novel large-scale temperature dominated model integrated with the physiological adaptation of plants to the local temperature to assess the spatial pattern and interannual variability of the EGS. Our model was validated in all temperate vegetation types over the Northern Hemisphere. The results indicated that our model showed better performance in representing the spatial and interannual variability of leaf senescence, compared with the original phenology model in the Integrated Biosphere Simulator (IBIS). Our model explained approximately 63% of the EGS variations, whereas the original model explained much lower variations (coefficient of determination R-2 = 0.01-0.18). In addition, the differences between the EGS reproduced by our model and the MODIS EGS at 71.3% of the pixels were within 10 days. For the original model, it is only 26.1%. We also found that the temperature threshold (TcritTm) of grassland was lower than that of woody species in the same latitudinal zone.
资助者	Program for One-hundred Talent Program of the Chinese Academy of Sciences
DOI	10.1371/journal.pone.0167302
收录类别	SCI
语种	英语
资助项目	Program for One-hundred Talent Program of the Chinese Academy of Sciences[Y5AA100A01]
WOS研究方向	Science & Technology - Other Topics
WOS类目	Multidisciplinary Sciences
WOS记录号	WOS:000389472400110
出版者	PUBLIC LIBRARY SCIENCE
引用统计	被引频次：1[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.imr.ac.cn/handle/321006/126975
专题	中国科学院金属研究所
通讯作者	Zheng, Zeyu
作者单位	1.Chinese Acad Sci, Shenyang Inst Automat, Shenyang, Peoples R China 2.Chinese Acad Sci, Key Lab Network Control Syst, Shenyang, Peoples R China 3.Univ Penn, Dept Biostat & Epidemiol, Perelman Sch Med, Philadelphia, PA 19104 USA
推荐引用方式 GB/T 7714	Fu, Yang,Zheng, Zeyu,Shi, Haibo,et al. A Novel Large-Scale Temperature Dominated Model for Predicting the End of the Growing Season[J]. PLOS ONE,2016,11(11):13.
APA	Fu, Yang,Zheng, Zeyu,Shi, Haibo,&Xiao, Rui.(2016).A Novel Large-Scale Temperature Dominated Model for Predicting the End of the Growing Season.PLOS ONE,11(11),13.
MLA	Fu, Yang,et al."A Novel Large-Scale Temperature Dominated Model for Predicting the End of the Growing Season".PLOS ONE 11.11(2016):13.