Earlier leaf senescence dates are constrained by soil moisture
文献类型:期刊论文
作者 | Wang, Xiaoyue1,2; Wu, Chaoyang1,2,7; Liu, Ying3,8; Penuelas, Josep4,5; Peng, Jie6 |
刊名 | GLOBAL CHANGE BIOLOGY
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出版日期 | 2022-12-29 |
页码 | 17 |
关键词 | autumn phenology climate warming leaf senescence date soil moisture |
ISSN号 | 1354-1013 |
DOI | 10.1111/gcb.16569 |
通讯作者 | Wu, Chaoyang(wucy@igsnrr.ac.cn) ; Liu, Ying(liuy.19b@igsnrr.ac.cn) |
英文摘要 | The unprecedented warming that has occurred in recent decades has led to later autumn leaf senescence dates (LSD) throughout the Northern Hemisphere. Yet, great uncertainties still exist regarding the strength of these delaying trends, especially in terms of how soil moisture affects them. Here we show that changes in soil moisture in 1982-2015 had a substantial impact on autumn LSD in one-fifth of the vegetated areas in the Northern Hemisphere (>30 degrees N), and how it contributed more to LSD variability than either temperature, precipitation or radiation. We developed a new model based on soil-moisture-constrained cooling degree days (CDDSM) to characterize the effects of soil moisture on LSD and compared its performance with the CDD, Delpierre and spring-influenced autumn models. We show that the CDDSM model with inputs of temperature and soil moisture outperformed the three other models for LSD modelling and had an overall higher correlation coefficient (R), a lower root mean square error and lower Akaike information criterion (AIC) between observations and model predictions. These improvements were particularly evident in arid and semi-arid regions. We studied future LSD using the CDDSM model under two scenarios (SSP126 and SSP585) and found that predicted LSD was 4.1 +/- 1.4 days and 5.8 +/- 2.8 days earlier under SSP126 and SSP585, respectively, than other models for the end of this century. Our study therefore reveals the importance of soil moisture in regulating autumn LSD and, in particular, highlights how coupling this effect with LSD models can improve simulations of the response of vegetation phenology to future climate change. |
WOS关键词 | CLIMATE-CHANGE ; AUTUMN PHENOLOGY ; GREEN-UP ; VEGETATION ; CARBON ; TEMPERATURE ; PRODUCTIVITY ; FEEDBACKS ; NDVI |
资助项目 | National Key R&D Program of China[2019YFA0606603] ; National Natural Science Foundation of China[42125101] ; National Natural Science Foundation of China[41901359] ; CAS Interdisciplinary Innovation Team[JCTD-2020-05] ; Youth Innovation Promotion Association of Chinese Academy of Sciences[2022051] |
WOS研究方向 | Biodiversity & Conservation ; Environmental Sciences & Ecology |
语种 | 英语 |
WOS记录号 | WOS:000905001400001 |
出版者 | WILEY |
资助机构 | National Key R&D Program of China ; National Natural Science Foundation of China ; CAS Interdisciplinary Innovation Team ; Youth Innovation Promotion Association of Chinese Academy of Sciences |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/188563] ![]() |
专题 | 中国科学院地理科学与资源研究所 |
通讯作者 | Wu, Chaoyang; Liu, Ying |
作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing, Peoples R China 2.Univ Chinese Acad Sci, Beijing, Peoples R China 3.Peking Univ, Sino French Inst Earth Syst Sci, Coll Urban & Environm Sci, Beijing, Peoples R China 4.UAB, CSIC, Global Ecol Unit CREAF, Barcelona, Spain 5.CREAF, Barcelona, Spain 6.Lanzhou Univ, Coll Ecol, State Key Lab Grassland Agroecosyst, Lanzhou, Peoples R China 7.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China 8.Peking Univ, Sino French Inst Earth Syst Sci, Coll Urban & Environm Sci, Beijing 100871, Peoples R China |
推荐引用方式 GB/T 7714 | Wang, Xiaoyue,Wu, Chaoyang,Liu, Ying,et al. Earlier leaf senescence dates are constrained by soil moisture[J]. GLOBAL CHANGE BIOLOGY,2022:17. |
APA | Wang, Xiaoyue,Wu, Chaoyang,Liu, Ying,Penuelas, Josep,&Peng, Jie.(2022).Earlier leaf senescence dates are constrained by soil moisture.GLOBAL CHANGE BIOLOGY,17. |
MLA | Wang, Xiaoyue,et al."Earlier leaf senescence dates are constrained by soil moisture".GLOBAL CHANGE BIOLOGY (2022):17. |
入库方式: OAI收割
来源:地理科学与资源研究所
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