摘要
以2013年全国林业碳汇计量监测体系建设碳汇专项调查中的连翘、黄刺玫数据为基础,以灌木地径(D)、高度(H)、冠幅(C)、地径与株高乘积(DH)、地径平方与株高乘积(D^(2)H)、冠幅面积[A=π(C/2)^(2)]、冠幅体积(V=AH)为自变量,以生物量为因变量,通过数理统计的回归分析方法,建立生物量预测模型。结果表明,连翘以地径平方与株高乘积(D^(2)H)为自变量的三次函数估测模型最优,方程式为W=220.538+154.166(D^(2)H)+1.491(D^(2)H)^(3);黄刺玫以冠幅体积(V)为自变量的三次函数估测模型最优,方程式为W=277.428+0.001V-(8.73E-10)V^(2)+(1.75E-16)V^(3)。从精度检验的结果来看(R_(S)<30%,R_(M.A)<20%),该模型可以用来推算、预测灌木生物量。
Based on the data of Forsythia suspensa and Rosa xanthina from the special carbon sequestration survey on the construction of the national forestry carbon sequestration measurement and monitoring system in 2013,the biomass prediction model was established through the regression analysis method of mathematical statistics with taking the shrub ground diameter(D),height(H),crown width(C),product of ground diameter and plant height(DH),product of ground diameter square and plant height(D^(2)H),crown area[A=π(C/2)^(2)],crown volume(V=AH)as independent variables and biomass as dependent variables.Results showed that the cubic function estimation model of Forsythia suspensa with the product of the square of ground diameter and plant height(D^(2)H)as the independent variable was optimal,which equation was W=220.538+154.166(D^(2)H)+1.491(D^(2)H)^(3).The cubic function estimation model of Rosa xanthina with the crown volume(V=AH)as the independent variable was optimal,which equation was W=277.428+0.001 V-(8.73E-10)V^(2)+(1.75E-16)V^(3).From the results of model accuracy test(R_(S)<30%,R_(M.A)<20%),the models could be used to calculate and predict shrub biomass.
作者
王志萍
Wang Zhiping(Shanxi Forestry and Grassland Resources Survey and Monitoring Center, Taiyuan 030012, China)
出处
《山西林业科技》
2022年第2期28-30,共3页
Shanxi Forestry Science and Technology
关键词
连翘
黄刺玫
生物量
模型预测
Forsythia suspensa
Rosa xanthina
Biomass
Prediction model
