气候变化领域集成服务门户(CCPortal): Reducing the uncertainty of parameters controlling seasonal carbon and water fluxes in Chinese forests and its implication for simulated climate sensitivities

CCPortal

DOI	10.1002/2017GB005714
	Reducing the uncertainty of parameters controlling seasonal carbon and water fluxes in Chinese forests and its implication for simulated climate sensitivities
	Li, Yue; Yang, Hui; Wang, Tao; MacBean, Natasha; Bacour, Cedric; Ciais, Philippe; Zhang, Yiping; Zhou, Guangsheng; Piao, Shilong
通讯作者	Piao, SL (通讯作者)
发表日期	2017
ISSN	0886-6236
EISSN	1944-9224
起始页码	1344
结束页码	1366
卷号	31 期号:8
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.
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研究方向	Environmental Sciences & Ecology ; Geology ; Meteorology & Atmospheric Sciences
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Meteorology & Atmospheric Sciences
WOS记录号	WOS:000409481500009
来源期刊	GLOBAL BIOGEOCHEMICAL CYCLES
来源机构	中国科学院青藏高原研究所
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/259097
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]. 中国科学院青藏高原研究所,2017,31(8).
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).
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).