Research on the Importance Relationship Between Environmental Factors and Natural Forest Volume
The study of forest volume is of great significance for understanding forest ecosystems,stand productivity,and forest biomass.It explores the factors that affect the changes in forest volume of four tree species(groups)and provides theoretical support for establishing natural forest growth models in the future.The study focuses on the stock volume of natural Pinus massoniana,broad-leaved forest species(groups),mixed coniferous and broad-leaved tree species(groups),and mixed coniferous tree species(groups)in the latest continuous inventory of forest resources in Fujian Province.Environmental factors such as meteorology and geomorphology are used as in-dependent variables,and decision tree regression,random forest regression,adaboost regression,gradient lifting tree regression(GBDT),CatBoost regression,ExtraTrees regression,XGBoost regression are used The LightGBM regression method is used to analyze the impact of environmental factors on the stock volume of four natural forest tree species(groups).The results showed that Gradient Ascending Tree Regression(GBDT)could better fit the relationship between environmental factors and the stock volume of four tree species(groups).The stock volume R2 of all four tree species(groups)was 0.999,and MSE,RMSE,MAE,and MAPE were all within the range of 0.1;The close relationship between stand age and stock volume,with an importance of over 0.50;There are differences in the importance of meteo-rological and geomorphological factors on the accumulation of four tree species(groups),and it is recommended to conduct stripping anal-ysis during the specific modeling process.
stand volumeenvironmental factorsstand agemachine learning
NETL
NSTL
万方数据
