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

文献类型：期刊论文

作者Wang, Guocheng; Xiao, Meijia2,6; Xia, Xiangao6; Huang, Yao1; Luo, Zhongkui5; Wei, Yurong4; Zhang, Wen
刊名GEOPHYSICAL RESEARCH LETTERS
出版日期2022
卷号49期号:1
ISSN号0094-8276
DOI10.1029/2021GL096558
文献子类Article
英文摘要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.
学科主题Geosciences, Multidisciplinary
出版地WASHINGTON
电子版国际标准刊号1944-8007
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)
语种英语
WOS记录号WOS:000743989800017
出版者AMER GEOPHYSICAL UNION
资助机构Major Program for Basic Research Project of Yunnan Province [202101BC070002] ; National Natural Science Foundation of China [41775156]
源URL[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.Univ Chinese Acad Sci, Beijing, Peoples R China
2.Chinese Acad Sci, Inst Atmospher Phys, LAGEO, Beijing, Peoples R China
3.Inner Mongolia Ecol & Agrometeorol Ctr, Hohhot, Peoples R China
4.Zhejiang Univ, Coll Environm & Resource Sci, Hangzhou, Peoples R China
5.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing, Peoples R China
6.Chinese Acad Sci, LAPC, Inst Atmospher Phys, Beijing, 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).

入库方式： OAI收割

来源：植物研究所

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