Modeling the start of frozen dates with leaf senescence over Tibetan Plateau
文献类型:期刊论文
作者 | Li, Jialing3; Wu, Chaoyang1; Wu, Mousong3; Zhang, Yongguang3; Ran, Youhua2 |
刊名 | REMOTE SENSING OF ENVIRONMENT
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出版日期 | 2022-11-01 |
卷号 | 281页码:14 |
关键词 | SOF EOS Biogeophysical feedbacks Permafrost Tibetan plateau |
ISSN号 | 0034-4257 |
DOI | 10.1016/j.rse.2022.113258 |
通讯作者 | Wu, Chaoyang(wucy@igsnrr.ac.cn) ; Wu, Mousong(mousongwu@nju.edu.cn) |
英文摘要 | As the amplifier of global climate change, climate warming exerts an important impact on the freezing/thawing cycles of soil over the Tibetan Plateau, and it shapes the trend of permafrost degradation. Intensified frozen soil collapse causes severe effects on ecosystem water and energy balance as well as on carbon cycle. Previous studies have focused on the direct effects of climate change on permafrost degradation. However, there is also growing evidence showing vegetation growth can affect regional climate system, and consequently we hypothesize that vegetation autumn phenology (i.e., the end of the growing season, EOS) may influence the start date of frozen (SOF) through feedbacks to regional climates. Using satellite greenness data derived EOS and the microwave remote sensing generated SOFESDR (freeze-thaw Earth system data record) over 2001-2018, we showed a dominant-negative (13.1% vs. 0.9%) relationship between SOFESDR and EOS, suggesting an earlier SOFESDR with a delayed EOS. We found that biogeophysical indicators served as potential connections, including surface al-bedo, soil temperature, soil water content, and evapotranspiration, for the observed relationship. We therefore proposed a new site-level SOFf(EOS)xESDR algorithm based on the EOS-SOF relationship. With ground SOFALT observed from the active layer thickness at 63 sites over Tibetan Plateau, the new model provided significantly improved estimates of SOF with Pearson's correlation coefficient (R) of 0.84 and root mean square error (RMSE) of 7.63 days, comapred with current remote sensing-based SOF product (R = 0.26, RMSE = 22.60 days). We further proposed a look-up table approach to map the SOF over TP and found an overall earlier SOF (24.0 +/- 15.8) than current SOFESDR products. Therefore, our results identified a significant correlation between the autumn phenology and the SOF variability, highlighting the importance of feedbacks of autumn phenology on climate change. |
WOS关键词 | CLIMATE-CHANGE ; SNOW COVER ; PHENOLOGY ; VEGETATION ; DEGRADATION ; FEEDBACKS ; DYNAMICS ; IMPACTS ; ALBEDO ; MAP |
资助项目 | National Natural Science Foundation of China ; National Key Research and Development Program of China ; [42111530184] ; [2020YFA0607504] |
WOS研究方向 | Environmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology |
语种 | 英语 |
WOS记录号 | WOS:000862500100001 |
出版者 | ELSEVIER SCIENCE INC |
资助机构 | National Natural Science Foundation of China ; National Key Research and Development Program of China |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/184927] ![]() |
专题 | 中国科学院地理科学与资源研究所 |
通讯作者 | Wu, Chaoyang; Wu, Mousong |
作者单位 | 1.Inst Geog Sci & Nat Resources Res, Chinese Acad Sci, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China 2.Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Lanzhou 730000, Peoples R China 3.Nanjing Univ, Int Inst Earth Syst Sci, Nanjing 210023, Peoples R China |
推荐引用方式 GB/T 7714 | Li, Jialing,Wu, Chaoyang,Wu, Mousong,et al. Modeling the start of frozen dates with leaf senescence over Tibetan Plateau[J]. REMOTE SENSING OF ENVIRONMENT,2022,281:14. |
APA | Li, Jialing,Wu, Chaoyang,Wu, Mousong,Zhang, Yongguang,&Ran, Youhua.(2022).Modeling the start of frozen dates with leaf senescence over Tibetan Plateau.REMOTE SENSING OF ENVIRONMENT,281,14. |
MLA | Li, Jialing,et al."Modeling the start of frozen dates with leaf senescence over Tibetan Plateau".REMOTE SENSING OF ENVIRONMENT 281(2022):14. |
入库方式: OAI收割
来源:地理科学与资源研究所
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