SIMULATION OF SPATIAL DISTRIBUTION OF VEGETABLE TRANSPIRATION IN CHANGBAI MOUNTAIN
长白山植被蒸腾量空间变化特征的模拟

Abstract: Using EPPML, a model of biological biochemical cycle is built to simulate spatial distribution of yearly transpiration of the vegetation in Changbai Mountain. The simulated average is 0.683m/a, which fit the data from field survey very well. The trend of increasing yearly transpiration along with increasing altitude is abated. The maximum yearly transpiration occurs in Korean pine forests (0.885m/a) while the alpine gravel grass contributes the minimum (0.094m/a). The vegetable factors (leaf area index) and environmental factors (climatic factors and soil water content) which affects the spatial distribution are analyzed and the results indicate that transpiration is highly correlated with leaf area index (LQI)( R =0.77). However, their correlativity is not a simple direct ratio. When LAI is more than 2m 2/m 2, transpiration of most plants become saturated. The results also indicate that transpiration is mostly affected by soil water content and other elements in influencing sequence are relative moisture, air temperature, precipitation, wind speed and total radiation.