摘 要 ：为准确估计甘肃小陇山林区森林植被的碳库大小，应用干烧法对该地区主要林分类型的13种乔木、14种灌木、10种草本植物的不同器官和7类林分的枯落物有机含碳率进行了测定，同时利用生物量标准地资料对8类林分的乔木层平均含碳率及森林植被的储碳密度和碳储量进行了估算，并分析了林分各组分的碳储量分配特征。结果表明：锐齿栎、油松、栓皮栎、白桦、红桦、日本落叶松、华山松、云杉、秦岭冷杉、水曲柳、大叶椋子木、五角枫、辽东栎13种乔木树种的器官平均含碳率范围为0.4501~0.5049，14种灌木和10种草本的器官平均含碳率分别为0.4446和0.3270，7类林分枯落物平均含碳率为0.4221。该地区8类林分的乔木层平均含碳率范围为0.4676~0.4976；小陇山林区森林植被层平均储碳密度为39.4254 t hm-2，总碳储量为133579 Tg。8类林分总碳储量分配中，乔木层占98.07%±0.73%，灌木层占1.38%±0.43%，草本层占0.17%±0.08%，枯落物层占0.37%±0.37%。甘肃小陇山8类林分乔木层的平均储碳密度值与我国及世界各地森林平均储碳密度的一些估计值基本接近。
Abstract:In order to accurately estimate the size of carbon pool in the forest region of Xiaolong Mountains (Gansu Province, China), carbon content rates (CCRs) of dominant forest vegetations (13 tree species, 14 shrub species, 10 herbaceous plants) and the forest litters of 7 stand types were measured with dry combustion method. Based on the biomass data from sample plots, the average CCR of tree layer, carbon storage density and carbon storage of forest vegetation were calculated, as well as the carbon storage allocation of each component in 8 forest stands. The average CCR of the 13 tree species, Quercus Aliena var. Acuteserrata, Pinus tabulaeformis, Quercus variabilis, Betula platyphylla, Betula albo-sinensis, Larix kaempferi, Pinus armandii, Picea asperata, Abies chensiensis, Fraxinus mandschurica, Cornus macrophylla, Acer mono, and Quercus liaotungensis ranges from 0.4501 to 0.5049. The mean CCR of shrubs (14), herbaceous plants (10) and forest litters (7 stands) are 0.4446, 0.3270 and 0.4221, respectively. In this region, the average CCR of tree layer in the 8 stands varies between 0.4676 and 0.4976. Results show that the carbon storage density of forest vegetation in Xiaolong Mountains is 39.4254 t hm-2, and carbon storage is 13.3579 Tg. In the tested 8 stands, carbon storage allocations of tree layer, shrub layer, herb layer and forest litters are 98.07%±0.73%, 1.38%±0.43%, 0.17%±0.08% and 0.37%±0.37%, respectively. We conclude that the estimated tree layer carbon storage density in Xiaolong Mountains is similar to the reported value in other areas of China and around the world.