globalchange  > 气候变化事实与影响
DOI: 10.1002/2017GB005714
Scopus记录号: 2-s2.0-85028991189
论文题名:
Reducing the uncertainty of parameters controlling seasonal carbon and water fluxes in Chinese forests and its implication for simulated climate sensitivities
作者: Li Y; , Yang H; , Wang T; , MacBean N; , Bacour C; , Ciais P; , Zhang Y; , Zhou G; , Piao S
刊名: Global Biogeochemical Cycles
ISSN: 8866236
出版年: 2017
卷: 31, 期:8
起始页码: 1344
结束页码: 1366
语种: 英语
英文关键词: carbon cycle ; China ; climate change ; eddy flux ; forest ; parameter optimization
Scopus关键词: biomass allocation ; broad-leaved forest ; carbon budget ; carbon cycle ; carbon flux ; carbon sequestration ; carbon sink ; climate change ; coniferous tree ; deciduous forest ; ecosystem response ; forest ecosystem ; net ecosystem exchange ; net primary production ; Northern Hemisphere ; optimization ; parameter estimation ; respiration ; terrestrial ecosystem ; China
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. ©2017. American Geophysical Union. All Rights Reserved.
Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/77713
Appears in Collections:气候变化事实与影响

Files in This Item:

There are no files associated with this item.


作者单位: Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing, China; Key Laboratory of Alpine Ecology and Biodiversity, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, China; CAS Center for Excellence in Tibetan Plateau Earth Sciences, Chinese Academy of Sciences, Beijing, China; School of Natural Resources and the Environment, University of Arizona, Tucson, AZ, United States; Laboratoire des Sciences du Climat et de l'Environnement, CEA CNRS, UVSQ, Gif-sur-Yvette, France; NOVELTIS, Labège, France; Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Mengla, China; Chinese Academy of Meteorological Sciences, Beijing, China; State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, China

Recommended Citation:
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,2017-01-01,31(8)
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Li Y]'s Articles
[, Yang H]'s Articles
[, Wang T]'s Articles
百度学术
Similar articles in Baidu Scholar
[Li Y]'s Articles
[, Yang H]'s Articles
[, Wang T]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Li Y]‘s Articles
[, Yang H]‘s Articles
[, Wang T]‘s Articles
Related Copyright Policies
Null
收藏/分享
所有评论 (0)
暂无评论
 

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.