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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