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Temporally variable parameters simulate asymmetrical interannual variation of aboveground and belowground carbon pools in an alpine meadow
Xu, Qian1,2,3; He, Honglin1,2,4; Ren, Xiaoli1,2; Zhang, Li1,2; Lin, Li5; Zhang, Fawei6; Cao, Guangming5; Williams, Mathew7; Ge, Rong8; Niu, Zhongen1,2,3; Lv, Yan1,2,3
2021-09-15
Source PublicationAGRICULTURAL AND FOREST METEOROLOGY
ISSN0168-1923
Volume307Pages:14
Corresponding AuthorHe, Honglin(hehl@igsnrr.ac.cn) ; Cao, Guangming(caogm@nwipb.cas.cn)
AbstractExploring 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.
KeywordInterannual variation Temporally variable parameter Constant parameter Carbon sequestration Carbon pool Allocation parameter
DOI10.1016/j.agrformet.2021.108480
WOS KeywordCHINA TERRESTRIAL ECOSYSTEMS ; CLIMATE-CHANGE ; AUTUMN PHENOLOGY ; TIBETAN PLATEAU ; GROWING-SEASON ; PRIMARY PRODUCTIVITY ; NORTHERN-HEMISPHERE ; VEGETATION DYNAMICS ; NITROGEN ADDITION ; MODEL PERFORMANCE
Indexed BySCI
Language英语
Funding ProjectNational 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]
Funding OrganizationNational Natural Science Foundation of China ; National Key Research and Development Program of China ; Strategic Priority Research Program of the Chinese Academy of Sciences
WOS Research AreaAgriculture ; Forestry ; Meteorology & Atmospheric Sciences
WOS SubjectAgronomy ; Forestry ; Meteorology & Atmospheric Sciences
WOS IDWOS:000682515100009
PublisherELSEVIER
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/164646
Collection中国科学院地理科学与资源研究所
Corresponding AuthorHe, Honglin; Cao, Guangming
Affiliation1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China
2.Chinese Acad Sci, Natl Ecosyst Sci Data Ctr, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
4.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100190, Peoples R China
5.Chinese Acad Sci, Northwest Inst Plateau Biol, Xining 810008, Peoples R China
6.Luoyang Normal Univ, Coll Life Sci, Luoyang 471934, Peoples R China
7.Univ Edinburgh, Sch GeoSci, Edinburgh EH9 3FF, Midlothian, Scotland
8.Nanjing Audit Univ, Sch Govt Audit, Inst Nat Resources & Environm Audits, Nanjing, Peoples R China
Recommended Citation
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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