Reducing the uncertainty of parameters controlling seasonal carbon and water fluxes in Chinese forests and its implication for simulated climate sensitivities
文献类型：期刊论文
| 作者 | Li, Yue; Yang, Hui; Wang, Tao4,5; MacBean, Natasha3; Bacour, Cedric2,6; Ciais, Philippe2; Zhang, Yiping7; Zhou, Guangsheng8,9; Piao, Shilong4,5 |
| 刊名 | GLOBAL BIOGEOCHEMICAL CYCLES
 |
| 出版日期 | 2017 |
| 卷号 | 31期号:8页码:1344-1366 |
| ISSN号 | 0886-6236 |
| DOI | 10.1007/s10967-017-5414-8 |
| 文献子类 | Article |
| 英文摘要 | Reducing 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. |
| 学科主题 | Chemistry ; Nuclear Science & Technology |
| 出版地 | WASHINGTON |
| 电子版国际标准刊号 | 1944-9224 |
| WOS关键词 | NET ECOSYSTEM EXCHANGE ; LAND-SURFACE MODEL ; EDDY-COVARIANCE ; TERRESTRIAL BIOSPHERE ; FUTURE CLIMATE ; ENVIRONMENTAL CONTROLS ; NONLINEAR INVERSION ; CYCLE FEEDBACK ; MONTE-CARLO ; VEGETATION |
| 语种 | 英语 |
| WOS记录号 | WOS:000412543600043 |
| 出版者 | AMER GEOPHYSICAL UNION |
| 资助机构 | National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [41530528, 41561134016] ; 111 ProjectMinistry of Education, China - 111 Project [B14001] ; National Youth Topnotch Talent Support Program in China |
| 源URL | [http://ir.ibcas.ac.cn/handle/2S10CLM1/22014]  |
| 专题 | 植被与环境变化国家重点实验室 |
| 作者单位 | 1.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing, Peoples R China 2.Univ Arizona, Sch Nat Resources & Environm, Tucson, AZ USA 3.Chinese Acad Sci, CAS Ctr Excellence Tibetan Plateau Earth Sci, Beijing, Peoples R China 4.Chinese Acad Sci, Inst Tibetan Plateau Res, Key Lab Alpine Ecol & Biodivers, Beijing, Peoples R China 5.Peking Univ, Sinofrench Inst Earth Syst Sci, Coll Urban & Environm Sci, Beijing, Peoples R China 6.UVSQ, CEA CNRS, Lab Sci Climat & Environm, Gif Sur Yvette, France 7.NOVELTIS, Labege, France 8.Chinese Acad Sci, Xishuangbanna Trop Bot Garden, Key Lab Trop Forest Ecol, Mengla, Peoples R China 9.Chinese Acad Meteorol Sci, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Li, Yue,Yang, Hui,Wang, Tao,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, Yue.,Yang, Hui.,Wang, Tao.,MacBean, Natasha.,Bacour, Cedric.,...&Piao, Shilong.(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, Yue,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. |
入库方式： OAI收割
来源：植物研究所
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