黑河天涝池流域森林生物量1m分辨率空间分布数据（1961-2010）

样地调查数据为，于2013年8月份，在天涝池流域设置森林样地30块，样地规格为10 m×20 m，样地长边与山坡走向平行，其中青海云杉林26块，祁连圆柏林2块，云杉圆柏混交林2块，在样地内，采用围尺测量每株树木的胸径（树干1.3 m高度处的直径），采用手持超声波测高器测量每株树木的树高、枝下高（树冠下端第一活枝的高度），采用皮尺测量南北方向和东西方向冠幅，利用差分GPS对样地进行定位.以样地碳储量数据为优化控制条件，以Kriging插值得到的生物量空间分布图驱动场，采用HASM算法模拟天涝池森林生物量空间分布图，模拟结果符合研究区的植被分布规律，获得较好的效果。分辨率1m

The plot survey data was collected as follows: In August 2013, 30 forest plots were established in the Tianlaochi Basin. Each plot had a size of 10 m × 20 m, with its long side parallel to the slope direction. Among these plots, 26 were Picea crassifolia forests, 2 were Sabina przewalskii forests, and 2 were mixed stands of Picea crassifolia and Sabina przewalskii. Within each plot, the diameter at breast height (DBH, defined as the trunk diameter at 1.3 m above the ground) of every tree was measured with a diameter tape; tree height and clear bole height (height of the first living branch at the base of the crown) were measured using a handheld ultrasonic hypsometer; and crown widths in the north-south and east-west directions were measured with a steel tape. All plots were georeferenced using differential GPS (DGPS). Taking plot-level carbon storage data as the optimization control condition and the spatial distribution map of biomass obtained via Kriging interpolation as the driving field, the HASM (High Accuracy Surface Modeling) algorithm was adopted to simulate the spatial distribution of forest biomass in the Tianlaochi Basin. The simulation results aligned with the vegetation distribution patterns of the study area, yielding satisfactory outcomes. The dataset has a spatial resolution of 1 m.