Temporally variable parameters simulate asymmetrical interannual variation of aboveground and belowground carbon pools in an alpine meadow
Xu, Qian3,4,5; He, Honglin3,4,6; Ren, Xiaoli3,4; Zhang, Li3,4; Lin, Li7; Zhang, Fawei1; Cao, Guangming7; Williams, Mathew8; Ge, Rong2; Niu, Zhongen3,4,5
刊名AGRICULTURAL AND FOREST METEOROLOGY
2021-09-15
卷号307页码:14
关键词Interannual variation Temporally variable parameter Constant parameter Carbon sequestration Carbon pool Allocation parameter
ISSN号0168-1923
DOI10.1016/j.agrformet.2021.108480
通讯作者He, Honglin(hehl@igsnrr.ac.cn) ; Cao, Guangming(caogm@nwipb.cas.cn)
英文摘要Exploring interannual variation (IAV) of terrestrial carbon cycle is crucial for understanding the climate-carbon cycle feedback. However, model simulations of IAV in carbon pools are highly sensitive to parameterization. Although researches indicate that parameters vary as environment changes, most terrestrial carbon cycle models apply time-invariant parameters, leading to uncertainty in reproducing IAV. We compared the IAV simulation accuracy of carbon pools between constant and temporally variable parameters, generated by a piecewise modeldata fusion framework based on long-term multi-observations in an alpine meadow over the Tibetan Plateau. Piecewise assimilation showed that key parameters involved in photosynthesis and allocation processes exhibited significant temporal variation under warming and nitrogen deposition. Specifically, day length threshold for leaf senescence was postponed, while allocation to autotrophic respiration, allocation to root, leaf nitrogen content, and nitrogen use efficiency increased. Compared with constant parameters, temporally variable parameters captured the observed asymmetrical response of aboveground and belowground carbon pools to climate fluctuations, improved modeled magnitude of IAV in carbon pools by 34% on average, and advanced carbon sink estimation accuracy by 43.15%. Therefore, fitting parameter dynamics to climatic conditions can provide a benchmark for future simulation in the Tibetan Plateau. Our research suggests that IAV in different carbon pools is crucial in determining carbon sinks. Temporal variations of parameters present how ecosystems adapt to a changing environment and should be incorporated to terrestrial carbon cycle models to reduce uncertainty in model prediction.
资助项目National Natural Science Foundation of China[42030509] ; National Natural Science Foundation of China[31988102] ; National Key Research and Development Program of China[2016YFC0500204] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA19020301]
WOS关键词CHINA TERRESTRIAL ECOSYSTEMS ; CLIMATE-CHANGE ; AUTUMN PHENOLOGY ; TIBETAN PLATEAU ; GROWING-SEASON ; PRIMARY PRODUCTIVITY ; NORTHERN-HEMISPHERE ; VEGETATION DYNAMICS ; NITROGEN ADDITION ; MODEL PERFORMANCE
WOS研究方向Agriculture ; Forestry ; Meteorology & Atmospheric Sciences
语种英语
出版者ELSEVIER
WOS记录号WOS:000682515100009
资助机构National Natural Science Foundation of China ; National Key Research and Development Program of China ; Strategic Priority Research Program of the Chinese Academy of Sciences
内容类型期刊论文
源URL[http://ir.igsnrr.ac.cn/handle/311030/164645]  
专题中国科学院地理科学与资源研究所
通讯作者He, Honglin; Cao, Guangming
作者单位1.Luoyang Normal Univ, Coll Life Sci, Luoyang 471934, Peoples R China
2.Nanjing Audit Univ, Sch Govt Audit, Inst Nat Resources & Environm Audits, Nanjing, Peoples R China
3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China
4.Chinese Acad Sci, Natl Ecosyst Sci Data Ctr, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
5.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
6.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100190, Peoples R China
7.Chinese Acad Sci, Northwest Inst Plateau Biol, Xining 810008, Peoples R China
8.Univ Edinburgh, Sch GeoSci, Edinburgh EH9 3FF, Midlothian, Scotland
推荐引用方式
GB/T 7714
Xu, Qian,He, Honglin,Ren, Xiaoli,et al. Temporally variable parameters simulate asymmetrical interannual variation of aboveground and belowground carbon pools in an alpine meadow[J]. AGRICULTURAL AND FOREST METEOROLOGY,2021,307:14.
APA Xu, Qian.,He, Honglin.,Ren, Xiaoli.,Zhang, Li.,Lin, Li.,...&Lv, Yan.(2021).Temporally variable parameters simulate asymmetrical interannual variation of aboveground and belowground carbon pools in an alpine meadow.AGRICULTURAL AND FOREST METEOROLOGY,307,14.
MLA Xu, Qian,et al."Temporally variable parameters simulate asymmetrical interannual variation of aboveground and belowground carbon pools in an alpine meadow".AGRICULTURAL AND FOREST METEOROLOGY 307(2021):14.
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