论文部分内容阅读
以阴山中段(大青山自然保护区)主要乔木类型:白桦(Betula platyphlla)天然林、油松(Pinus Tabulaeformis)人工林和华北落叶松(Larix principis rupprechtii Mayr)人工林为研究对象,通过标准地主要林分因子调查和生物生物量测定,运用生物量建模时常用的10种数学模型对生物量与蓄积量进行回归拟合研究,以确定二者之间的相关关系,进而建立各树种生物量与蓄积量间的回归预测模型,拟建立基于二类调查数据基础上的森林生物量估算与预测模型。结果表明:白桦天然林和华北落叶松人工林以Power模型拟合的效果最佳;油松人工林以Cubic模型拟合效果最佳。各估测模型均符合检验精度要求。同时,利用内蒙古林业勘察设计一院调查队2006年国家二类调查数据,对大青山自然保护区(呼和浩特部分)进行森林生物量估算。
The main tree species of Betula platyphlla, Pinus Tabulaeformis plantation and Larix principis rupprechtii Mayr plantation in the middle section of Yinshan Mountain (Daqingshan Nature Reserve) Stand factor survey and bio-biomass measurement, 10 mathematical models commonly used in biomass modeling were used to conduct regression fitting study on biomass and stock volume to determine the correlation between them, and then to establish the biomass of each species And the volume of the regression prediction model, to establish based on two types of survey data based on forest biomass estimation and prediction model. The results showed that the best fitting effect was obtained by the Power model between the natural forests of Betula platyphylla and Larix principis-rupprechtii, and the Cubic model was the best. The estimation models are in line with the test accuracy requirements. At the same time, using the data of the second-class national survey conducted by a survey team of forestry investigation and design institute in Inner Mongolia in 2006, the forest biomass of Daqingshan Nature Reserve (Hohhot) was estimated.