Construction of Carbon Density Prediction Model of Natural Birch Forest in Inner Mongolia
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 coef-ficient R2 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.
natural forestbirchcarbon storagecarbon density model