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DOI | 10.1007/s10584-016-1736-8 |
Temporal variability in the thermal requirements for vegetation phenology on the Tibetan plateau and its implications for carbon dynamics | |
Jin, Zhenong; Zhuang, Qianlai; Dukes, Jeffrey S.; He, Jin-Sheng; Sokolov, Andrei P.; Chen, Min; Zhang, Tonglin; Luo, Tianxiang | |
通讯作者 | Zhuang, QL (通讯作者) |
发表日期 | 2016 |
ISSN | 0165-0009 |
EISSN | 1573-1480 |
起始页码 | 617 |
结束页码 | 632 |
卷号 | 138期号:3-4 |
英文摘要 | Static thermal requirements (T (req) ) are widely used to model the timing of phenology, yet may significantly bias phenological projections under future warming conditions, since recent studies argue that climate warming will increase T (req) for triggering vegetation phenology. This study investigates the temporal trend and inter-annual variation of T (req) derived from satellite-based spring and autumn phenology for the alpine and temperate vegetation on the Tibetan Plateau from 1982 to 2011. While we detected persistent warming in both spring and autumn across this time period, we did not find a corresponding long-term increase in T (req) for most of the study area. Instead, we found a substantial interannual variability of T (req) that could be largely explained by interannual variations in other climatic factors. Specifically, the number of chilling days and fall temperature were robust variables for predicting the dynamics of T (req) for spring onset and autumn senescence, respectively. Phenology models incorporating a dynamic T (req) algorithm performed slightly better than those with static T (req) values in reproducing phenology derived from SPOT-VGT NDVI data. To assess the degree to which T (req) variation affects large-scale phenology and carbon cycling projections, we compared the output from versions of the Terrestrial Ecosystem Model that incorporated static and dynamic T (req) values in their phenology algorithms. Under two contrasting future climate scenarios, the dynamic T (req) setting reduced the projected growing season length by up to 1-3 weeks by the late twenty-first century, leading to a maximum reduction of 8.9 % in annual net primary production and similar to 15 % in cumulative net ecosystem production for this region. Our study reveals that temporal dynamics of T (req) meaningfully affect the carbon dynamics on the Tibetan Plateau, and should thus be considered in future ecosystem carbon modeling. |
关键词 | SPRING PHENOLOGYCLIMATE-CHANGEGROWING-SEASONGREEN-UPMODELPRECIPITATIONFEEDBACKSIMPACTSWINTERCHINA |
语种 | 英语 |
WOS研究方向 | Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences |
WOS类目 | Environmental Sciences ; Meteorology & Atmospheric Sciences |
WOS记录号 | WOS:000383615200018 |
来源期刊 | CLIMATIC CHANGE |
来源机构 | 中国科学院青藏高原研究所 |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/258822 |
推荐引用方式 GB/T 7714 | Jin, Zhenong,Zhuang, Qianlai,Dukes, Jeffrey S.,et al. Temporal variability in the thermal requirements for vegetation phenology on the Tibetan plateau and its implications for carbon dynamics[J]. 中国科学院青藏高原研究所,2016,138(3-4). |
APA | Jin, Zhenong.,Zhuang, Qianlai.,Dukes, Jeffrey S..,He, Jin-Sheng.,Sokolov, Andrei P..,...&Luo, Tianxiang.(2016).Temporal variability in the thermal requirements for vegetation phenology on the Tibetan plateau and its implications for carbon dynamics.CLIMATIC CHANGE,138(3-4). |
MLA | Jin, Zhenong,et al."Temporal variability in the thermal requirements for vegetation phenology on the Tibetan plateau and its implications for carbon dynamics".CLIMATIC CHANGE 138.3-4(2016). |
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