使用二类调查数据对森林碳储量评估及多因素预测

Forest Carbon Storage Assessment and Multi-factor Prediction Based on Two-Class Survey Data

为及时且准确地估算森林碳储量,以湖南省怀化市靖州县排牙山国有林场为研究对象,使用森林资源二类调查数据,在分树种(组)及龄组的情况下,采用联合国政府间气候变化专门委员会(IPCC)材积源生物法估算了研究区林场碳储量、碳密度及其分布。运用空间代替时间法,筛选碳储量的影响因子并对其量化,验证多因素方法预测的准确性。结果表明:林场乔木林总碳储量为192 508.07 t,林分平均碳密度为34.46 t·hm^(-2)。在人工抚育的林分中通过用胸径、株数密度、树种组成多样性因素参数化的多因素方法对碳储量进行量化。其预测结果较精确,而在大面积天然林中使用该方法结果则存在一定误差。碳储量多因素预测模型可以在较大面积的人工林中进行碳储量预测。

To timely and accurately estimate forest carbon storage,the Paiya mountain state-owned forest farm in Jingzhou County,Huaihua City,Hunan Province was selected as the research object.Forest resource category 2 survey data was used to estimate the carbon storage,carbon density,and distribution of the forest farm.The estimation considered tree species(groups)and age groups,using the IPCC volume-biomass method.The spatial substitution time method was employed to select and quantify the influencing factors of carbon storage,and the accuracy of the multi-factor method in predicting carbon storage was verified.The results showed that the total carbon storage of the forest farm’sarbor forest was 192508.07 t,with an average carbon density of 34.46 t·hm^(-2).In artificially nurtured forest stands,a multi-factor method parameterized with factors such as diameter at breast height,tree density,and tree species composition diversity was used to quantify carbon storage.The prediction results were relatively accurate,while using this method in large areas of natural forests resulted in certain errors.The multi-factor prediction model for carbon storage can be used for prediction carbon storage in large-scale artificial forests.