内蒙古地区天然白桦林碳密度预测模型的构建  

Construction of Carbon Density Prediction Model of Natural Birch Forest in Inner Mongolia

作　　者：王维芳[1] 孙钰 戴亚维 Wang Weifang;Sun Yu;Dai Yawei(Northeast Forestry University,Harbin 150040,China)

机构地区：[1]东北林业大学,黑龙江哈尔滨150040

出　　处：《防护林科技》2024年第5期30-33,共4页Protection Forest Science and Technology

基　　金：东北林业大学大学生创新训练项目(202310225616)。

摘　　要：为了对天然白桦林碳储量预测提供方法,以内蒙古地区198块天然白桦林样地实测数据为材料,建立了碳密度预测模型,并进行了模型拟合优度检验,选出最优的内蒙古地区天然白桦林碳密度预测模型。结果表明:该模型为二元线性模型,决定系数R^(2)为0.568,均方根误差RMSE为12.515 t·hm^(-2),平均偏差ME为0.005 t·hm^(-2),平均绝对偏差为9.435 t·hm^(-2),准确率Acc为0.776。该二元线性模型能更好模拟碳密度与各个因子之间的关系,估算精度更高,可为估测森林碳储量提供参考依据。In order to provide a method for predicting the carbon storage of natural birch forest,the carbon density prediction model was established based on the measured data of 198 natural birch forest plots in Inner Mongolia,and the goodness test of the model fitting was carried out to select the optimal carbon density prediction model of natural birch forest in Inner Mongolia.The results showed that the model was a binary linear model,the determination coefficient R^(2)was 0.568,the root mean square error RMSE was 12.515 t·hm^(-2),the average deviation ME was 0.005 t·hm^(-2),the average absolute deviation was 9.435 t·hm^(-2),and the accuracy rate Acc was 0.776.The binary linear model can better simulate the relationship between carbon density and various factors,and the estimation accuracy is higher,which can provide a reference for estimating forest carbon storage.

关 键 词：天然林 白桦 碳储量 碳密度模型 

分 类 号：S792.153.03[农业科学—林木遗传育种]