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以大兴安岭兴安落叶松为研究对象,利用统计学软件SPSS拟合林木生物量模型,结果表明:建立的总量、地上部分、树干、树枝、树叶、树皮及树根生物量方程,其R2均大于94.3%;标准化残差与各组分生物量之间不存在任何趋势,各组分生物量回归方程为随机分布,证明数学模型具有统计学上的意义;各组分生物量模型预估精度均大于84%以上,而树干和地上生物量模型则在90%以上。模型的可行性较高,其参数也可为寒温带兴安落叶松生物量分配研究提供参考。
Taking Larix gmelini in the Greater Xing’an Mountains as the research object, the statistical software SPSS was used to fit the forest biomass model. The results showed that the total biomass, aerial parts, trunk, branches, leaves, barks and roots biomass equation were R2 Which is more than 94.3%. There is no trend between the standardized residuals and the biomass of each component. The regression equations of biomass of each component are randomly distributed, which proves that the mathematical model has statistical significance. The prediction accuracy of each component biomass model Were more than 84%, while the trunk and aboveground biomass models were above 90%. The model is more feasible and its parameters can also provide reference for the biomass allocation of Larix gmelinii in cold temperate zone.