Construction and progress of Chinese terrestrial ecosystem carbon, nitrogen and water fluxes coordinated observation

doi:10.1007/s11442-016-1300-5

摘要/Abstract

Abstract:

Eddy Covariance technique (EC) achieves the direct measurement on ecosystem carbon, nitrogen and water fluxes, and it provides scientific data for accurately assessing ecosystem functions in mitigating global climate change. This paper briefly reviewed the construction and development of Chinese terrestrial ecosystem flux observation and research network (ChinaFLUX), and systematically introduced the design principle and technology of the terrestrial ecosystem carbon, nitrogen and water fluxes coordinated observation system of ChinaFLUX. In addition, this paper summarized the main progress of ChinaFLUX in the ecosystem carbon, nitrogen and water exchange and environmental controlling mechanisms, the spatial pattern of carbon, nitrogen and water fluxes and biogeographical mechanisms, and the regional terrestrial ecosystem carbon budget assessment. Finally, the prospects and emphases of the terrestrial ecosystem carbon, nitrogen and water fluxes coordinated observation of ChinaFLUX are put forward to provide theoretical references for the development of flux observation and research in China.

Key words: eddy covariance technique, carbon-water-nitrogen fluxes, coupling cycle, coordinated observation, ChinaFLUX

. [J]. 地理学报(英文版), 2016, 26(7): 803-826.

Guirui YU, Wei REN, Zhi CHEN, Leiming ZHANG, Qiufeng WANG, Xuefa WEN, Nianpeng HE, Li ZHANG, Huajun FANG, Xianjin ZHU, Yang GAO, Xiaomin SUN. Construction and progress of Chinese terrestrial ecosystem carbon, nitrogen and water fluxes coordinated observation[J]. Journal of Geographical Sciences, 2016, 26(7): 803-826.

图/表 5

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Ecosystem types	Climate zones	NEP (g C m^-2 yr^-1)	GPP (g C m^-2 yr^-1)	RE (g C m^-2 yr^-1)	Flux sites	References
Forest	Tropical	202±47	2156±263	1954±310	XSBN, JFL	Zhang et al.,2010; Chen et al., 2010
	Southern subtropical	250±206	1424±81	1174±287	DHS, DG	Sun et al., 2012; Yu et al., 2013b; Chen et al., 2014
	Central subtropical	550±258	1801±167	1253±226	HT, AQ, YY, QYZ, ALS	Yu et al., 2013; Chen et al., 2014; Tan et al., 2011; Zhang et al., 2010; Zhao et al., 2011; Han et al., 2008
	Northern subtropical	343	1288	965	XP	Geng et al., 2011
	Warm temperate	492±37	1379±103	887±67	DX, XLD	Huang et al., 2011; Zha et al., 2007; Fang et al., 2011
	Temperate	302	1338	1036	CBS	Yu et al., 2013b; Chen et al., 2014
	Cool temperate	135±114	970±326	774±298	HZ, LS	Wang et al., 2008; Cui et al., 2007; Qiu et al., 2011; Zhou et al., 2010
Grassland	Temperate	24±83	282±108	260±95	DL, NM, CL, XLHT (1, 2, 3), KBQ, TY, LP, FK	Yu et al., 2013b; Chen et al., 2014; FLUXNET, 2013; Du et al., 2012; Wang et al., 2008; Liu et al., 2011a, 2011b; Dong et al., 2011a, 2011b; Zhang et al., 2007
Grassland	Alpine	45±59	470±193	424±146	DX, SJY, HB	Yu et al., 2013b; Chen et al., 2014; Wu et al., 2010; Wang et al., 2012
Cropland	Subtropical	675	1598	923	TY	Zhu et al., 2005
	Warm temperate	462±136	1792±64	1329±72	WS, YC	Yu et al., 2013b; Chen et al., 2014; Lei et al., 2010a, 2010b
	Temperate semi-arid	75	381	306	DL	Zhang et al., 2007; FLUXNET, 2013
Wetland	Subtropical	577±123	1553±155	977±133	DT(1,2,3)	Guo et al., 2010; Yan et al., 2009; FLUXNET 2103
	Warm temperate	65	1298	1233	PJ	Zhou et al., 2009, 2010
	Cool temperate	98±148	570±116	473±107	SJ (1,2,3)	Song et al., 2007
	alpine	-79	489	568	HBSD	Yu et al., 2013b; Chen et al., 2014