Abstract

The Dinghushan flux observation site, as one of the four forest sites of ChinaFLUX, aims to acquire long-term measurements of CO2 flux over a typical southern subtropical evergreen coniferous and broad-leaved mixed forest ecosystem using the open path eddy covariance method. Based on two years of data from 2003 to 2004, the characteristics of temporal variation in CO2 flux and its response to environmental factors in the forest ecosystem are analyzed. Provided two-dimensional coordinate rotation, WPL correction and quality control, poor energy-balance and underestimation of ecosystem respiration during nighttime implied that there could be a CO2 leak during the nighttime at the site. Using daytime (PAR > 1.0 mu mol(-1.)m(-2.)s(-1)) flux data during windy conditions (u* > 0.2 m(.)s(-1)), monthly ecosystem respiration (Reco) was derived through the Michaelis-Menten equation modeling the relationship between net ecosystem CO2 exchange (NEE) and photosynthetically active radiation (PAR). Exponential function was employed to describe the relationship between Reco and soil temperature at 5 cm depth (Ts05), then Reco of both daytime and nighttime was calculated respectively by the function. The major results are: (i) Derived from the Michaelis-Menten equation, the apparent quantum yield (a) was 0.0027 +/- 0.0011 mgCO(2)-mu mol(-1) photons, and the maximum photosynthetic assimilation rate (Amax) was 1.102 +/- 0.288 mgCO(2)(.)m(-2.)s(-1). Indistinctive seasonal variation of a or Amax was consistent with weak seasonal dynamics of leaf area index (LAI) in such a lower subtropical evergreen mixed forest. (ii) Monthly accumulated Reco was estimated as 95.3 +/- 21.1 gC(.)m(-2)mon(-1), accounting for about 68% of the gross primary product (GPP). Monthly accumulated NEE was estimated as -43.2 +/- 29.6 gC(.)m(-2.)mon(-1). The forest ecosystem acted as carbon sink all year round without any seasonal carbon efflux period. Annual NEE of 2003 and 2004 was estimated as -563.0 and -441.2 gC(.)m(-2.)a(-1) respectively, accounting for about 32% of GPP.

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