实测了青藏高原植被样带22个地区不同植被类型的地上部分生物量并进行了格局分析，对于未受人为干扰的以常绿阔叶林为基带的亚高山天然植被，随着海拔升高，地上生物量呈递增趋势，在一定海拔高度达最大，海拔继续升高上生物量则迅速下降，这一垂直分异规律在一定程度上反映了全球地带性森林植被最大生物量分布的纬向分异性。基于Weber定律的回归分析表明，地上生物量与水势因子的相关关系可用Logistic函数拟合，1月平均气温，7月平均气温，年平均气温，年降水量及其组合因子可解释高原植被样带地上生物量变化的28％－53％，其中年降水量及其同年平均气温的组合与地下生物量的相关性最高（R^2为0．46－0．53，p＜0．001），但是，年降水量和平均气温的变化不足以解释西藏色齐拉山暗针叶林具有最高的地上生物量。我们认为，自然植被地上部分生物量的分布格局受到更为复杂的气候因子的制，例如太阳辐射，湿度，风、水分和能量平衡等。

We developed a methodology for linking together data from forest and grassland inventories and ecological research sites, and provided a comprehensive report about live biomass and net primary productivity (NPP) on the Tibetan Plateau, the ‘‘Third Pole’’ of the earth where little information about plant biomass and production had been available outside China. Results were as follows. (1) The total live biomass of the natural vegetation in the Xizang (Tibet) Autonomous Region and Qinghai Province was estimated as 2.17 Gg dry mass, of which 72.9% was stored in forests where spruce–fir accounted for 65.1%.

We have constructed a phenological model of leaf area index (LAI) of forests based on biological principles of leaf growth. Field data of maximum LAI from 794 plots with mature or nearly mature stand ages over China were used to parameterize and calibrate the model. New measurements of maximum LAI from 16 natural forest sites were used to validate the simulated maximum LAI. The predictions of seasonal LAI patterns were compared with seasonal changes derived from the 1‐km satellite AVHRR‐NDVI data for nine undisturbed forest sites in eastern China. Then, we used the model to map maximum LAI values for forests in China.