大兴安岭北部兴安落叶松天然林单木地上生物量

摘要

基于大兴安岭北部林区19块样地内104株天然兴安落叶松实测生物量数据，建立兴安落叶松天然林地上总量和分量相容性生物量模型，分别采用权函数和联立线性方程组消除方程的异方差和度量误差。结果表明：1)含度量误差的单木生物量相容性模型能解决总量生物量模型和分量生物量模型不兼容的问题，而且模型的预估精度高于经验模型；2)所建模型参数的决定系数 R2和模型偏差统计量，估计值的标准差 SEE、平均估计误差MPE、平均相对偏差 ME、平均相对偏差绝对值 MAE 分别为0.907～0.947，1.887～17.368，1.011%～2.703%，-4.937%～6.998%，5.408%～10.886%；3)对大兴安岭北部兴安落叶松天然林样木实测值进行统计分析，得到兴安落叶松天然林单木干材生物量占地上生物量的60.37%～76.80%，所占比例随年龄增加先增加再减小。树皮生物量占地上生物量的7.15%～20.11%，所占比例随年龄增加而减小；树枝生物量占地上生物量的8.51%～14.29%，所占比例随年龄增加基本呈现增加趋势；树叶生物量占地上生物量的5.12%～7.09%，在低林龄期时所占比例最大。%Based on 104 sample tree trunk and branches parse biomass data in 19 sample plots,established the compatible model of aboveground total model and component of Larix gmelinii natural forest,by using weight function and simultaneous linear equations to eliminate heteroscedasticity and measurement error equation. The results showed that:1) Compatibility biomass model solved the total biomass model and component biomass model of incompatible problem,and the compatibility of biomass model prediction accuracy was higher than empirical model;2 ) Utilize modern built biomass model parameter determination coefficient R2 and compatibility model deviation statistics estimate the standard deviation SEE,mean estimated error MPE,mean relative deviation ME,mean relative deviation absolute MAE were 0. 907 -0. 947 ,1. 887 -17. 368 ,1. 011% -2. 703%,-4. 937% -6. 998%,5. 408% -10. 886%; 3 ) Statistical analysis of the measured values of Larix gmelinii natural forest in the northern Greater Khingan Mountains,got the region single natural forest stem biomass covered the aboveground biomass of 60. 37% -76. 80%,stem biomass proportion with the increase of forest age increased first,then decreased. Bark biomass covered the aboveground biomass of 7. 15% -20. 11%,the proportion trend of decrease with the increase of forest age. Branch biomass covered the aboveground biomass of 8. 51% -14. 29%,branch biomass proportion along with the age increasing basic rendering. Leaf biomass covered the aboveground biomass of 5. 12% -7. 09%,leaf biomass accounted for the proportion of the biggest was low forest age.