中国东北落叶松立木生物量模型的研建

Modeling of Standing Tree Biomass for Larix in Northeast China

利用从东北地区采集的150株落叶松(Larix spp.)立木生物量数据,对立木地上生物量和地下生物量通用性模型的建立方法进行了研究。结果表明,非线性模型要优于线性模型,仅用胸径作为预估因子的一元模型的预估精度可达95%以上,可用于大尺度森林生物量的估计。建立根茎比模型对地下生物量进行估计是可行的,预估精度接近90%。建立的落叶松地上生物量模型和地下生物量模型可用于东北地区落叶松生物量估计。

The approach on establishment of above-and below-ground standing tree biomass equations was studied using the biomass data of 150 sample trees of larch （Larix spp.） in northeast China.Result showed that the non-linear equation was better than the linear equation.The non-linear biomass equation with diameter at breast height （DBH） as the predicted factor explained more than 95 percent of the biomass variance,and it could be applied to forest biomass estimation at large-scale level.It is feasible to estimate the below-ground biomass by establishing a root-shoot ratio model,with a prediction precision of nearly 90 percent.The established models of above-and below-ground biomass could be applied to estimate the biomass of larch forests in northeast China.