中文摘要：

用材积源生物量（volume-derived biomass）法对祁连山森林植被进行了研究。结果表明,11种森林植被的总生物量4.06×10^7 t,总碳储量1.90×10^7 t,总生长量1.49×10^6 t·a-1,年凋落量9.3×10^5 t·a-1,净生产量2.4×10^6 t·a-1,总生物量、总碳储量较大的是青海云杉林、祁连圆柏林,较小的是杨树林、华北落叶松林,山杨林、桦树林、油松林和混交林居中,主要分配在中龄林和近熟林中;平均碳密度为201.07t·hm2,依次为：白桦林〉针阔混交林〉红桦林〉油松林〉山杨林〉针叶混交林〉杨树林〉阔叶混交林〉祁连圆柏林〉青海云杉林〉华北落叶松林;总生长量、年凋落量、净生产量较高的是青海云杉林、祁连圆柏林,较低的是油松林、华北落叶松林,在龄组中的分配依次为：中龄林〉近熟林〉成熟林〉幼龄林〉过熟林;碳交易的潜在价值为1.11×10^9美元（JI）或1.68×10^9美元（CDM）,青海云杉林碳交易的潜在价值达到7.01×10^8美元（JI）或1.06×10^9美元（CDM）,占总碳交易的潜在价值的62.98%。

英文摘要：

The forest vegetation biomass, carbon storage, increment, litter amount, net production and carbon sink function were studied by volume-derived biomass method in Qilian Mountains. The results showed that the total biomass of 11 forest vegetations, total carbon storage, total growth increment, and annual lit- ter amount,and net production were 4.06×10^7 t,1.90×10^7 t,1.49×10^6 t· a-1 ,9.3×10^5 t·a-1 ,and 2.4× 10^6 t · a-1 ,respectively. Stands of the tree species with higher biomass were Picea crassifolia and Sabi- na przewalskii forests, smaller ones were Pinus tabulaeformis and Larix principis-rupprechtii forests, and the medium ones were mainly distributed in middle-aged and near-mature forests. The average carbon density was 201.07 t · hm-2 ,for individual stands,the density followed the order of Betula platyphylla〉mixed coniferous and broad-leaf〉 B. albo-sinensis 〉F. tabulae f orrnis 〉 Populus davidiana 〉 coniferous mixed〉Populus spp. 〉 mixed broad-leaf〉 Sabina przewalskii 〉 Picea crassi f olia 〉L. principis-ruppre- chtii forests. The total increment,annual litter amount and net production were higher in Populus davidi- ann and S. przewalskii forests,lower in P. tabulaeformis and L. principis-rupprechtii forests,and in the age group distribution, the order was middle-aged 〉 near-mature〉 mature 〉young 〉over-mature forests.The potential price for carbon trading was $1.11 ×10^9 （JI）or $1.68 × 10^9 （CDM）and the potential price for carbon trading of P. crassifolia forest was $ 7.01×10^8（JI）or $1.06×10^9（CDM）,62.98% of the total potential price of carbon trading.