Abstract: To investigate the effects of climate change on canopy transpiration, a process-based carbon and water coupling multi-layer model was verified, and used to simulate the canopy transpiration over a broad-leaved Korean pine forest in Changbai Mountains. This multi-layer model could well estimate canopy transpiration. The simulated values fitted well with the measured data based on eddy covariance method. The simulation of the responses of canopy transpiration to climate change indicated that the latent heat flux (LE) increased with increasing air temperature, and decreased with the decline of soil water content or the increase of air CO₂ concentration. Under the climate scenarios in this study, the LE was most sensitive to the associated variation of 10% reduction of soil water content in 0-20 cm layer and 190 μmol·mol^-1 increase of CO₂ concentration, but not sensitive to the synchronous variation of 10% reduce of soil water content and 3.6 ℃ increase of air temperature.

Key words: multi-layer model, eddy covariance method, latent heat flux, canopy transpiration, climate change