气候变化领域集成服务门户(CCPortal): Temporally variable parameters simulate asymmetrical interannual variation of aboveground and belowground carbon pools in an alpine meadow

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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 ECOSYSTEMS CLIMATE-CHANGE AUTUMN PHENOLOGY TIBETAN PLATEAU GROWING-SEASON PRIMARY PRODUCTIVITY NORTHERN-HEMISPHERE VEGETATION DYNAMICS NITROGEN ADDITION MODEL 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).