【摘要】 观测研究发现重庆缙云山毛竹干流在降雨量大于0.3mm时就会出现,它与降雨量呈非线性多项式关系,y=-2E-06x4+0.0003x3-0.0158x2+0.3187x,R2=0.9216。干流过程与LCR电路暂态过程相似,干流量、干流强度、干流率、干流持续时间、干流开始时间与降雨性质和毛竹植株特性有关,用BP模型预测精度高。树干干流是林木水分与养分重要的点源输入途径,因此,进一步研究利用树干干流特性将是森林生态培育和更新的重要途径之一。更多还原

【Abstract】 In a 2-year observation at the Jinyun Mountain Eco-benefit Monitoring Station, stemflow occurred when rainfall exceeded (0.3) mm and showed a non-linear polynomial relationship against rainfall, i.e. Y = 2 E-06 x~4 + 0.0003 x~3 – 0.0158 x~2 + 0.3187 x, R~2 = 0.9216. The stemflow process was similar to the transient state of LCR electric circuit. The amount, intensity, rate, duration and starting time of stemflow on Phyllostachus pubescens depended on the characteristics of the plant and the property of the rainfall. BP neural net appeared to be an effective means to predict stemflow in bamboo forests. As the stemflow is an important point source of water and nutrients to plants, it is worthwhile to further study and utilize the properties of stemflow in forest eco-culture and afforestation.更多还原