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DOI | 10.1016/j.agrformet.2021.108480 |
Temporally variable parameters simulate asymmetrical interannual variation of aboveground and belowground carbon pools in an alpine meadow | |
Xu, Qian; He, Honglin; Ren, Xiaoli; Zhang, Li; Lin, Li; Zhang, Fawei; Cao, Guangming; Williams, Mathew; Ge, Rong; Niu, Zhongen; Lv, Yan | |
通讯作者 | He, HL (通讯作者),Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China. ; Cao, GM (通讯作者),Chinese Acad Sci, Northwest Inst Plateau Biol, Xining 810008, Peoples R China. |
发表日期 | 2021 |
ISSN | 0168-1923 |
EISSN | 1873-2240 |
卷号 | 307 |
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. |
关键词 | CHINA TERRESTRIAL ECOSYSTEMSCLIMATE-CHANGEAUTUMN PHENOLOGYTIBETAN PLATEAUGROWING-SEASONPRIMARY PRODUCTIVITYNORTHERN-HEMISPHEREVEGETATION DYNAMICSNITROGEN ADDITIONMODEL PERFORMANCE |
英文关键词 | Interannual variation; Temporally variable parameter; Constant parameter; Carbon sequestration; Carbon pool; Allocation parameter |
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:000682515100009 |
来源期刊 | AGRICULTURAL AND FOREST METEOROLOGY |
来源机构 | 中国科学院西北生态环境资源研究院 |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/254399 |
作者单位 | [Xu, Qian; He, Honglin; Ren, Xiaoli; Zhang, Li; Niu, Zhongen; Lv, Yan] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China; [Xu, Qian; He, Honglin; Ren, Xiaoli; Zhang, Li; Niu, Zhongen; Lv, Yan] Chinese Acad Sci, Natl Ecosyst Sci Data Ctr, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China; [Xu, Qian; Niu, Zhongen; Lv, Yan] Univ Chinese Acad Sci, Beijing 100049, Peoples R China; [He, Honglin] Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100190, Peoples R China; [Lin, Li; Cao, Guangming] Chinese Acad Sci, Northwest Inst Plateau Biol, Xining 810008, Peoples R China; [Zhang, Fawei] Luoyang Normal Univ, Coll Life Sci, Luoyang 471934, Peoples R China; [Williams, Mathew] Univ Edinburgh, Sch GeoSci, Edinburgh EH9 3FF, Midlothian, Scotland; [Ge, Rong] Nanjing Audit Univ, Sch Govt Audit, Inst Nat Resources & Environm Audits, Nanjing, Peoples R China |
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]. 中国科学院西北生态环境资源研究院,2021,307. |
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. |
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). |
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