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Table 2 Statistically significant results of the logistic regression model of fire occurrences

From: Effect of spring grass fires on vegetation patterns and soil quality in abandoned agricultural lands at local and landscape scales in Central European Russia

Predictor Estimate Std. error Wald z value P Odds ratio 95% CI for odds ratio
Intercept − 5.925 0.478 − 12.937 < 0.001 0.003 0.001–0.007
Continuous
Polygon area, log2 0.190 0.027 7.098 < 0.001 1.209 1.152–1.276
Ratio of the number of burnt neighboring polygons to the number of total neighboring polygons, % 0.027 0.002 16.790 < 0.001 1.027 1.024–1.030
Categorical
Presence of settlements (1/0) 0.198 0.090 2.207 0.027 1.219 1.023–1.454
Al2 1.402 0.180 7.847 < 0.001 4.063 2.875–5.795
Al3 2.080 0.177 11.744 < 0.001 8.005 5.686–11.393
Al4 2.836 0.163 17.375 < 0.001 17.054 12.456–23.636
Arable lands 3.452 0.228 15.138 < 0.001 31.555 20.386–49.885
Meadows 2.249 0.181 12.432 < 0.001 9.475 6.681–13.585
Sparse forests 1.903 0.339 5.610 < 0.001 6.707 3.467–13.173
  1. McFadden’s pseudo R2 = 0.217. le Cessie-van Houwelingen-Copas-Hosmer global goodness-of-fit test: z = 1.5387, P value = 0.1239
  2. Al2, Al3, and Al4 are abandoned lands which differ in coverage of woody vegetation: Al2 with a dense tree cover in spots, Al3 with a tree cover of small density, and Al4 without trees or with a few single trees