Inverse analysis of coupled carbon-nitrogen cycles against multiple datasets at ambient and elevated CO2

doi:10.1093/jpe/rtv059

	Inverse analysis of coupled carbon-nitrogen cycles against multiple datasets at ambient and elevated CO2
	Shi, Zheng ; Yang, Yuanhe1 ; Zhou, Xuhui ; Weng, Ensheng ; Finzi, Adrien C.; Luo, Yiqi
	2016
发表期刊	JOURNAL OF PLANT ECOLOGY
ISSN	1752-9921
卷号	9 期号:3 页码:285-295
摘要	Aims Carbon (C) sequestration in terrestrial ecosystems is strongly regulated by nitrogen (N) processes. However, key parameters that determine the degree of N regulation on terrestrial C sequestration have not been well quantified. Methods Here, we used a Bayesian probabilistic inversion approach to estimate 14 target parameters related to ecosystem C and N interactions from 19 datasets obtained from Duke Forests under ambient and elevated carbon dioxide (CO2). Important Findings Our results indicated that 8 of the 14 target parameters, such as C:N ratios in most ecosystem compartments, plant N uptake and external N input, were well constrained by available datasets whereas the others, such as N allocation coefficients, N loss and the initial value of mineral N pool were poorly constrained. Our analysis showed that elevated CO2 led to the increases in C:N ratios in foliage, fine roots and litter. Moreover, elevated CO2 stimulated plant N uptake and increased ecosystem N capital in Duke Forests by 25.2 and 8.5%, respectively. In addition, elevated CO2 resulted in the decrease of C exit rates (i.e. increases in C residence times) in foliage, woody biomass, structural litter and passive soil organic matter, but the increase of C exit rate in fine roots. Our results demonstrated that CO2 enrichment substantially altered key parameters in determining terrestrial C and N interactions, which have profound implications for model improvement and predictions of future C sequestration in terrestrial ecosystems in response to global change.
关键词	Bayesian probabilistic inversion carbon-nitrogen interactions carbon-nitrogen coupled model Duke FACE
学科领域	Plant Sciences ; Ecology ; Forestry
DOI	10.1093/jpe/rtv059
收录类别	SCI
语种	英语
WOS关键词	TERRESTRIAL ECOSYSTEM MODEL ; PINE FOREST ; ATMOSPHERIC CO2 ; PARAMETER-ESTIMATION ; DATA ASSIMILATION ; DUKE FOREST ; ENRICHMENT ; RESPONSES ; DYNAMICS ; SEQUESTRATION
WOS研究方向	Science Citation Index Expanded (SCI-EXPANDED)
WOS记录号	WOS:000377446700004
出版者	OXFORD UNIV PRESS
文献子类	Article
出版地	OXFORD
EISSN	1752-993X
资助机构	US National Science Foundation (NSF)National Science Foundation (NSF) [DEB 0743778, DEB 0840964, DBI 0850290, EPS 0919466] ; Office of Science (BER), Department of EnergyUnited States Department of Energy (DOE) [DE-FG02-006ER64319] ; Midwestern Regional Center of the National Institute for Climatic Change Research at Michigan Technological University [DE-FC02-06ER64158] ; Direct For Biological SciencesNational Science Foundation (NSF)NSF - Directorate for Biological Sciences (BIO) [0840964] Funding Source: National Science Foundation
作者邮箱	yhyang@ibcas.as.cn
作品OA属性	Bronze
引用统计	被引频次：24[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ibcas.ac.cn/handle/2S10CLM1/25177
专题	植被与环境变化国家重点实验室
作者单位	1.Univ Oklahoma, Dept Bot & Microbiol, Norman, OK 73019 USA 2.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing 100093, Peoples R China 3.Finzi, Adrien C.] Boston Univ, Dept Biol, 5 Cummington St, Boston, MA 02215 USA
推荐引用方式 GB/T 7714	Shi, Zheng,Yang, Yuanhe,Zhou, Xuhui,et al. Inverse analysis of coupled carbon-nitrogen cycles against multiple datasets at ambient and elevated CO2[J]. JOURNAL OF PLANT ECOLOGY,2016,9(3):285-295.
APA	Shi, Zheng,Yang, Yuanhe,Zhou, Xuhui,Weng, Ensheng,Finzi, Adrien C.,&Luo, Yiqi.(2016).Inverse analysis of coupled carbon-nitrogen cycles against multiple datasets at ambient and elevated CO2.JOURNAL OF PLANT ECOLOGY,9(3),285-295.
MLA	Shi, Zheng,et al."Inverse analysis of coupled carbon-nitrogen cycles against multiple datasets at ambient and elevated CO2".JOURNAL OF PLANT ECOLOGY 9.3(2016):285-295.

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