Research on Multi-factor Regression Estimation Model of Above-ground Carbon Storage in Forest Park

Abstract

Considering the distribution of carbon storage of forests has the characteristics of spatial correlation and spatial heterogeneity, above-ground carbon storage is related with not only the characteristics of tree species but also of spatial position and spatial relationships. Therefore, in this paper the study focuses on six factors of spatial terrain and tree characteristics, which are used to build the estimation model of carbon storage. The research region is Dalingshan Forest Park in Dongguan City. The carbon storage is considered as the dependent variable. The six factors of terrain and tree characteristics, such as slope, elevation, tree height, crown density, tree diameter, and tree age, are considered as the independent variables. The relationship and model between the carbon storage and the six factors are researched by the method of regression analysis. By non-linear regression analysis, the estimation models of carbon storage are built based on the six factors. By using the non-linear regression model, the carbon storage of every compartment in Dalingshan Forest Park is estimated then visualized by means of thematic map.