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Reducing the uncertainty of parameters controlling seasonal carbon and water fluxes in Chinese forests and its implication for simulated climate sensitivities
Li, Y (Li, Yue)1; Yang, H (Yang, Hui)1; Wang, T (Wang, Tao)2,3; MacBean, N (MacBean, Natasha)4; Bacour, C (Bacour, Cedric)5,6; Ciais, P (Ciais, Philippe)5; Zhang, YP (Zhang, Yiping)7; Zhou, GS (Zhou, Guangsheng)8,9; Piao, SL (Piao, Shilong)1,2,3; Piao, SL
Source PublicationGLOBAL BIOGEOCHEMICAL CYCLES
2017
Volume31Issue:8Pages:1344-1366
DOI10.1002/2017GB005714
AbstractReducing parameter uncertainty of process-based terrestrial ecosystem models (TEMs) is one of the primary targets for accurately estimating carbon budgets and predicting ecosystem responses to climate change. However, parameters in TEMs are rarely constrained by observations from Chinese forest ecosystems, which are important carbon sink over the northern hemispheric land. In this study, eddy covariance data from six forest sites in China are used to optimize parameters of the ORganizing Carbon and Hydrology In Dynamics EcosystEms TEM. The model-data assimilation through parameter optimization largely reduces the prior model errors and improves the simulated seasonal cycle and summer diurnal cycle of net ecosystem exchange, latent heat fluxes, and gross primary production and ecosystem respiration. Climate change experiments based on the optimized model are deployed to indicate that forest net primary production (NPP) is suppressed in response to warming in the southern China but stimulated in the northeastern China. Altered precipitation has an asymmetric impact on forest NPP at sites in water-limited regions, with the optimization-induced reduction in response of NPP to precipitation decline being as large as 61% at a deciduous broadleaf forest site. We find that seasonal optimization alters forest carbon cycle responses to environmental change, with the parameter optimization consistently reducing the simulated positive response of heterotrophic respiration to warming. Evaluations from independent observations suggest that improving model structure still matters most for long-term carbon stock and its changes, in particular, nutrient-and age-related changes of photosynthetic rates, carbon allocation, and tree mortality.
Subject Area普通生物学
WOS IDWOS:000409481500009
Language英语
Indexed BySCI
KeywordNet Ecosystem Exchange Land-surface Model Global Vegetation Models Earth System Models Eddy-covariance Terrestrial Biosphere Data Assimilation Future Climate Environmental Controls Nonlinear Inversion
WOS Research AreaEnvironmental Sciences & Ecology; Geology; Meteorology & Atmospheric Sciences
WOS SubjectEnvironmental Sciences; Geosciences, Multidisciplinary; Meteorology & Atmospheric Sciences
Cooperation Status国际
Citation statistics
Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.itpcas.ac.cn/handle/131C11/8009
Collection图书馆
Corresponding AuthorPiao, SL
Affiliation1.Peking Univ, Sinofrench Inst Earth Syst Sci, Coll Urban & Environm Sci, Beijing, Peoples R China.
2.Chinese Acad Sci, Inst Tibetan Plateau Res, Key Lab Alpine Ecol & Biodivers, Beijing, Peoples R China.
3.Chinese Acad Sci, CAS Ctr Excellence Tibetan Plateau Earth Sci, Beijing, Peoples R China.
4.Univ Arizona, Sch Nat Resources & Environm, Tucson, AZ USA.
5.UVSQ, CEA CNRS, Lab Sci Climat & Environm, Gif Sur Yvette, France.
6.NOVELTIS, Labege, France.
7.Chinese Acad Sci, Xishuangbanna Trop Bot Garden, Key Lab Trop Forest Ecol, Mengla, Peoples R China.
8.Chinese Acad Meteorol Sci, Beijing, Peoples R China.
9.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing, Peoples R China.
Recommended Citation
GB/T 7714
Li, Y ,Yang, H ,Wang, T ,et al. Reducing the uncertainty of parameters controlling seasonal carbon and water fluxes in Chinese forests and its implication for simulated climate sensitivities[J]. GLOBAL BIOGEOCHEMICAL CYCLES,2017,31(8):1344-1366.
APA Li, Y .,Yang, H .,Wang, T .,MacBean, N .,Bacour, C .,...&Piao, SL.(2017).Reducing the uncertainty of parameters controlling seasonal carbon and water fluxes in Chinese forests and its implication for simulated climate sensitivities.GLOBAL BIOGEOCHEMICAL CYCLES,31(8),1344-1366.
MLA Li, Y ,et al."Reducing the uncertainty of parameters controlling seasonal carbon and water fluxes in Chinese forests and its implication for simulated climate sensitivities".GLOBAL BIOGEOCHEMICAL CYCLES 31.8(2017):1344-1366.
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