Quantitative Analysis of Driving Factors of Grassland Degradation: A Case Study in Xilin River Basin, Inner Mongolia

Table 2

Results of BLR analysis for SG succession.

Variable	𝛽	S.E. (𝛽)	Sig.	Exp (𝛽)	95.0% C.I. for Exp(𝛽)
					Lower	Upper
(a) During 1985~1998
DVSG-85	.022	.003	<.001	1.017	1.017	1.028
AGI8–98	−.016	.004	<.001	.976	.976	.993
DR85	−.115	.012	<.001	.891	.832	.945
ALT	.122	.021	<.001	1.130	1.116	1.214
DS	−0.109	0.23	<.001	0.890	0.877	0.913
*SLP
*ORI
*NDVI85
*DW
Intercept	−1.912	.706	<.001	.148
(b) During 1998~2004
DVSG-98	.040	.003	<.001	1.041	1.036	1.046
AGI(9–04)	.109	.002	.031	1.115	1.000	1.208
DR98	−.161	.021	<.001	.851	.800	.889
ALT	.191	.019	<.001	1.210	1.112	1.277
*SLP
*ORI
*NDVI98
*DW
*DS
Intercept	−14.411	.853	<.001	.000
Hosmer and Lemeshow Goodness-of-Fit Test: Chi-square =  1.802, Pr  >  Chi-square =  .213

𝑛=4000.
Maximum likelihood estimate of the parameter. S.E. (β): estimated standard error of the parameter estimate; Wald 𝜒²: Wald chi-squared statistic; Sig.: 𝑃 value of the Wald chi-squared statistic; Exp(𝛽): odd ratio.
*variables excluded by the logistic regression model after the run.
C.I.: confidence intervals.
The cut value is 500.