长白山植被蒸腾量空间变化特征的模拟

该研究运用以建立的EPPML生物地球化学循环模型，对长白山各类植被年蒸腾量的空间分布格局进行了模拟，模拟值平均为0.638m/a,与实测值比较吻合。年蒸腾量在空间上随海拔升高呈现明显降低的趋势，其中阔叶红松林最高（0.885m/a),高山流砾滩草类最低（0.0994m/a)。此外，还对影响该格局的植被因子（叶面积指数LAI)和环境因子（气象因子和土壤含水量）进行了分析。结果表明，蒸腾量与LAI高度正相关（R=0.77),但两者并不呈简单的正比关系，当LAI大于2m2/m2时，大多数植物的蒸腾量达到饱和；蒸腾量受土壤含水量的影响最大，其它依次为相对湿度、气温、降水量、风度和总辐射。

SIMULATION OF SPATIAL DISTRIBUTION OF VEGETABLE TRANSPIRATION IN CHANGBAI MOUNTAIN

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.