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.