Climate Change Data Portal
DOI | 10.1016/j.agrformet.2017.11.032 |
Modeling vegetation green-up dates across the Tibetan Plateau by including both seasonal and daily temperature and precipitation | |
Cao, Ruyin; Shen, Miaogen; Zhou, Ji; Chen, Jin | |
通讯作者 | Cao, RY (通讯作者) |
发表日期 | 2018 |
ISSN | 0168-1923 |
EISSN | 1873-2240 |
起始页码 | 176 |
结束页码 | 186 |
卷号 | 249 |
英文摘要 | Shifts in vegetation phenology induced by climate change are substantially modifying various ecosystem processes, and those changes can in turn affect weather and climate systems. Realistic modeling of spring vegetation green-up is critical to improving process-based ecosystem models of the Tibetan Plateau (TP) and for better understanding of the coupling between TP terrestrial biophysical processes and the Asian monsoon system. However, no model is available for simulating the vegetation green-up date (VGD) across the entire TP. In this study, we first assessed the ability of several existing state-of-the-art phenological models to estimate VGD across the TP. We then modified the existing models by adding environmental constraints identified by partial least squares analyses. The modified models simulated VGDs with lower estimation errors than other models (Mean absolute error: 8.2 days vs. 8.7-12.9 days; P < 0.01, t-test). Moreover, although our model captured the inter annual variations in VGD better than any previous model, the correlation coefficient between predicted and remotely sensed VGDs was still low, especially in the western TP. This study revealed the necessity of considering multiple factors in VGD models and highlighted the challenge of developing models that will better represent phenology in future ecosystem models. |
关键词 | LAND-SURFACE PHENOLOGYRECENT CLIMATE-CHANGESPRING PHENOLOGYMODISRESPONSESTREESFORESTPATTERNSBUDBURSTSNOWFALL |
英文关键词 | Alpine vegetation; Asymmetric warming; Daytime mean temperature; Phenological model; Remotely sensed phenology; Start of growing season |
语种 | 英语 |
WOS研究方向 | Agriculture ; Forestry ; Meteorology & Atmospheric Sciences |
WOS类目 | Agronomy ; Forestry ; Meteorology & Atmospheric Sciences |
WOS记录号 | WOS:000424180100015 |
来源期刊 | AGRICULTURAL AND FOREST METEOROLOGY |
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/259217 |
推荐引用方式 GB/T 7714 | Cao, Ruyin,Shen, Miaogen,Zhou, Ji,et al. Modeling vegetation green-up dates across the Tibetan Plateau by including both seasonal and daily temperature and precipitation[J]. 中国科学院青藏高原研究所,2018,249. |
APA | Cao, Ruyin,Shen, Miaogen,Zhou, Ji,&Chen, Jin.(2018).Modeling vegetation green-up dates across the Tibetan Plateau by including both seasonal and daily temperature and precipitation.AGRICULTURAL AND FOREST METEOROLOGY,249. |
MLA | Cao, Ruyin,et al."Modeling vegetation green-up dates across the Tibetan Plateau by including both seasonal and daily temperature and precipitation".AGRICULTURAL AND FOREST METEOROLOGY 249(2018). |
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