Carbon dioxide,water vapour and energy fluxes over a semi-evergreen forest in Assam,Northeast India

The eddy covariance method is a powerful technique for quantification of (hbox {CO}_{2},) (hbox {H}_{2})O and energy fluxes in natural ecosystems. Leaf area index (LAI) and its changes are significant drivers of (hbox {CO}_{2}) and (hbox {H}_{2})O exchange in a forest ecosystem due to their role in photosynthesis. The present study reports the seasonal variation of (hbox {CO}_{2}) and energy fluxes and their relationship with other meteorological parameters of a semi-evergreen primary forest of Kaziranga National Park, Assam, India during February 2016–January 2017. The diurnal pattern of half hourly average (hbox {CO}_{2 }) fluxes over the forest was found to be mostly dominated by the incident photosynthetically active radiation. During the period of study, diurnal variations of (hbox {CO}_{2}) flux showed a maximum value of (-9.97,upmu )mol (hbox {m}^{-2}hbox {s}^{-1}) in the month of June during summer which is also the beginning of the monsoon season. The monthly averaged diurnal (hbox {CO}_{2}) flux and variation in LAI of the forest canopy closely followed each other. The annual net ecosystem exchange of the forest estimated from the (hbox {CO}_{2}) flux data above the canopy is 84.21 g C (hbox {m}^{-2},hbox {yr}^{-1}). Further studies are in progress to confirm these findings. The estimated average annual evapotranspiration of the semi-evergreen forest is 2.8 ± 0.19 mm (hbox {day}^{-1}). The study of partitioning of energy fluxes showed the dominance of latent heat fluxes over sensible heat fluxes. The energy balance closure was found to increase with an increase in instability and the highest closure of around 83% was noted under neutral conditions.