Chilling Accumulation Is Not an Effective Predictor of Vegetation Green-Up Date in Inner Mongolian Grasslands

doi:10.1029/2021GL096558

	Chilling Accumulation Is Not an Effective Predictor of Vegetation Green-Up Date in Inner Mongolian Grasslands
	Wang, Guocheng ; Xiao, Meijia 1,2; Xia, Xiangao 1; Huang, Yao3 ; Luo, Zhongkui 4; Wei, Yurong 5; Zhang, Wen
	2022
发表期刊	GEOPHYSICAL RESEARCH LETTERS
ISSN	0094-8276
卷号	49 期号:1
摘要	Chilling accumulation (CA) might be reduced under a warming climate, which raises a critical question: is vegetation green-up date (VGD) altered by varing CA? If the answer is yes, existing thermal-time models should be modified to include a chilling component. By collating observations from eight long-term (1982-2019) field experiments across Inner Mongolia, we quantitatively assessed the responses of VGD of 27 grass species to CA in this region. The results indicated that effect of CA on VGD is in general negligible for most grass species. As excepted, rather than CA, VGD was predominantly determined by other climatic attributes such as heat requirement (HR) and precipitation. These results demonstrate the robustness of existing thermal-time models without a chilling component to predict variations in VGD of major plant species in Inner Mongolian temperate grasslands. Plain Language Summary Low temperature in winter (i.e., chilling) is recognized as an important regulator on plant spring phenology in the following year. Growing studies have highlighted the need to include a chilling factor in thermal-time phenology models. To date, the effect of chilling on vegetation green-up date (VGD) has seldom been explored in temperate grasslands. In this study, we collated a comprehensive data set of field observations of VGD from eight long-term experimental sites in Inner Mongolia, China, to address this issue. It was found that chilling accumulation (CA) has very limited impact on dynamics of VGD, particularly for individual grass species. Introducing CA into models cannot significantly improve the performances of models treating heat requirement (HR) and precipitation as predictor variables in predicting VGD dynamics. Consequently, there is no need to incorporate a chilling component into existing VGD phenology models in the study region.
学科领域	Geosciences, Multidisciplinary
DOI	10.1029/2021GL096558
收录类别	SCI
语种	英语
WOS关键词	AIR-TEMPERATURE ; SPRING PHENOLOGY ; HEAT REQUIREMENT ; WINTER ; PRECIPITATION ; RESPONSES ; TREES
WOS研究方向	Science Citation Index Expanded (SCI-EXPANDED)
WOS记录号	WOS:000743989800017
出版者	AMER GEOPHYSICAL UNION
文献子类	Article
出版地	WASHINGTON
EISSN	1944-8007
资助机构	Major Program for Basic Research Project of Yunnan Province [202101BC070002] ; National Natural Science Foundation of China [41775156]
作者邮箱	wanggc@mail.iap.ac.cn
引用统计	被引频次：3[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ibcas.ac.cn/handle/2S10CLM1/28875
专题	植被与环境变化国家重点实验室
作者单位	1.Chinese Acad Sci, LAPC, Inst Atmospher Phys, Beijing, Peoples R China 2.Chinese Acad Sci, Inst Atmospher Phys, LAGEO, Beijing, Peoples R China 3.Univ Chinese Acad Sci, Beijing, Peoples R China 4.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing, Peoples R China 5.Zhejiang Univ, Coll Environm & Resource Sci, Hangzhou, Peoples R China 6.Inner Mongolia Ecol & Agrometeorol Ctr, Hohhot, Peoples R China
推荐引用方式 GB/T 7714	Wang, Guocheng,Xiao, Meijia,Xia, Xiangao,et al. Chilling Accumulation Is Not an Effective Predictor of Vegetation Green-Up Date in Inner Mongolian Grasslands[J]. GEOPHYSICAL RESEARCH LETTERS,2022,49(1).
APA	Wang, Guocheng.,Xiao, Meijia.,Xia, Xiangao.,Huang, Yao.,Luo, Zhongkui.,...&Zhang, Wen.(2022).Chilling Accumulation Is Not an Effective Predictor of Vegetation Green-Up Date in Inner Mongolian Grasslands.GEOPHYSICAL RESEARCH LETTERS,49(1).
MLA	Wang, Guocheng,et al."Chilling Accumulation Is Not an Effective Predictor of Vegetation Green-Up Date in Inner Mongolian Grasslands".GEOPHYSICAL RESEARCH LETTERS 49.1(2022).

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