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On the ratio of intercellular to ambient CO2 (c(i)/c(a)) derived from ecosystem flux

文献类型: 外文期刊

作者: Tan, Zheng-Hong 1 ; Wu, Zhi-Xiang 2 ; Hughes, Alice C. 3 ; Schaefer, Douglas 4 ; Zeng, Jiye; Lan, Guo-Yu 2 ; Yang, 1 ;

作者机构: 1.Hainan Univ, Inst Trop Agr & Forestry, Ecol Program, Haikou 570228, Hainan, Peoples R China

2.Chinese Acad Trop Agr Sci, Rubber Res Inst, Danzhou 571737, Peoples R China

3.Chinese Acad Sci, Ctr Integrat Conservat, Xishuangbanna Trop Bot Garden, Menglun 666303, Peoples R China

4.Chinese Acad Sci, Key Lab Trop Forest Ecol, Xishuangbanna Trop Bot Garden, Kunming 6

关键词: Canopy conductance;Photosynthesis;Eddy covariance;Water vapor deficit;Ecosystem model

期刊名称:INTERNATIONAL JOURNAL OF BIOMETEOROLOGY ( 影响因子:3.787; 五年影响因子:3.811 )

ISSN: 0020-7128

年卷期: 2017 年 61 卷 12 期

页码:

收录情况: SCI

摘要: The ratio of intercellular to ambient CO2 concentrations (c(i)/c(a)) plays a key role in ecophysiology, micromete-orology, and global climatic change. However, systematic investigation on c(i)/c(a) variation and its determinants are rare. Here, the c(i)/c(a) was derived from measuring ecosystem fluxes in an even-aged monoculture of rubber trees (Hevea brasiliensis). We tested whether c(i)/c(a) is constant across environmental gradients and if not, which dominant factors control c(i)/c(a) variations. Evidence indicates that c(i)/c(a) is not a constant. The c(i)/c(a) exhibits a clear "V"-shaped diurnal pattern and varies across the environmental gradient. Water vapor pressure deficit (D) is the dominant factor controls over the c(i)/c(a) variations. c(i)/c(a) consistently decreases with increasing D. c(i)/c(a) decreases with square root of D as predicted by the optimal stomatal model. The D-driving single-variable model could simulate c(i)/c(a) as well as that of sophisticated model. Many variables function on longer timescales than a daily cycle, such as soil water content, could improve c(i)/c(a) model prediction ability. Ecosystem flux can be effectively used to calculate c(i)/c(a) and use it to better understand various natural cycles.

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