C. Flux calculation, WUE and data processing The fluxes of CO2, ( (1) (1) (2) (3) were (1) (1) is air density, (1) is the instantaneous (1) (2) (3) (1) deviation vertical wind velocity, (1) instantaneous deviation of CO2 concentration, (2) is the latent heat of vaporization, (2) instantaneous deviation of water vapor density from the mean, is gross primary (3) productivity (3) is the (2) is the (3) (2) (3) (2) (3) (2) (3) 268 Proceedings of the International Conference on Climate Change, Biodiversity and Ecosystem Services for the Sustainable Development Goals (SDGs): Policy and Practice 27-29 June 2016, Cha-am, Phetchaburi, Thailand and (1) (2) is evapotranspiratio(n3. )D ata acquisition for flux measurements was done with EddyPro express software (open source version 6.0.0, LI-COR Bioscience 2010). Raw data were processed to half-hourly averages with the EddyPro software. In this study, fluxes data uses a double rotation with 30 min block averaging. Spikes were removed by statistical tests embed in the software 6, 7. Corrections for density fluctuations 8 were applied during post-processing to the half-hourly averaged data. Spectral correction was followed those described by 9. Periods with low turbulence conditions were excluded based on friction velocity (u*<0.05 m/s) by ejection data were small turbulence (applying appropriate corrections for site-specific parameter). The amounts of ET half-hourly dataset were applied from Eqs (2) using specific heat of vaporization 10 and gaps were filled using the mean diurnal variation (MDV) and nonlinear regression method, respectively 11. III. RESULTS AND DISCUSSIONS A.Climate conditions The seasonal patterns of climatic variables and soil water content are shown in Fig.1. The results of daily air and soil temperatures, precipitation and soil water content during June 2013 to December 2015 are shown in Fig. 2 . Dai ly ai r and soil temperatures varied between 9.04 to 36.45°C and 14.15 to 34.62°C respectively. The highest air and soil temperatures were observed in March, April and May, while the lowest air and soil temperatures were observed in December and January. Both were following the seasonal changes respectively. The average of air temperature (24.68±3.82°C) and soil temperature (24.47±2.58°C) were similar; moreover the most values of minimum of soil temperature was higher than minimum of air temperature throughout the year. However the fluctuation of air temperature was higher than soil temperature was of around 5% during study period. As a general pattern, rainfall in this upland dipterocarp forest started during May and endured until October, thus characterizing a rainy season. During this season the rainfall was>100 mm. The rest of the year was a dry season. The total precipitation in 2013, 2014 and 2015 were 816, 968 and 927 mm respectively. ) latent heat ( (1) (2) (3) ) and ecosystem water use efficiency ( (1) (2) ) were (3) determined 5 as:
Proceedings of International Conference on Climate Change, Biodiversity and Ecosystem Services for the Sustainable Development Goals : Policy and Practice 27-29 June 2016 at the Sirindhorn International Environmental Park, Cha-am, Phetchaburi, Thailand
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