Interactive influence analysis
The seasonal differences of vegetation diversity (Simpson, Shannon, Pielou index of vegetation community) and the effects of temperature and precipitation on vegetation diversity were analyzed according to linear correlation. Linear correlation was used to analyze the effect of grazing on vegetation diversity. The differences in the relationship between vegetation diversity and temperature and precipitation were compared under different grazing gradients, and the differences in the relationship between vegetation diversity and grazing intensity were compared under different temperature and precipitation. Using NMDS analysis and three -dimensional curved interpolation fitting to reproduce and deeply analyze the interaction between climate factor and grazing on the diversity of vegetation. Linear correlation analysis will ignore some special changes trends, and the three -dimensional curved surface can more specifically display the local changes in the state variable with the pressure variable. Linear correlation analysis is drawn with Origin software, and the three -dimensional curved interpolation fitting is drawn with the cubic method in MATLAB. In addition, according to the changes of the interaction effects of the interaction effects under the dual gradient of the main advantage and the height of the plant and the height of the plant.