中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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
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
DOI10.1016/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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