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Table 3 Results of generalized linear mixed effect models used to predict ponderosa pine seedling presence/absence (top) and seedling density (bottom) from ten fires surveyed across Arizona and New Mexico, USA, in 2018 and 2019. Predictor variables were scaled prior to model fitting. Table includes beta coefficient (β), standard error (SE), Z-statistic, and P-value of each predictor. Boldfaced P-value indicates significance (α = 0.05)

From: Moisture and vegetation cover limit ponderosa pine regeneration in high-severity burn patches in the southwestern US

 

β

SE

Z

P

Seedling presence/absence model

 Intercept

−15.429

7.906

−1.952

0.051

 Slope cosine

2.160

0.782

2.764

0.006

 Oak cover (%)

−2.315

0.990

−2.338

0.019

 Curvature

1.547

0.669

2.312

0.021

 Elevation (m)

18.477

8.440

2.189

0.029

Seedling density model

 Intercept

8.490

0.760

11.160

<0.001

 Northness

1.100

0.320

3.460

<0.001

 Grass cover

−1.630

0.494

−3.290

<0.001

 Shrub cover

−0.850

0.352

−2.430

0.015

 Oak cover (%)

−2.580

0.495

−5.210

<0.001

 Distance to nearest tree (m)

−0.750

0.378

−1.970

0.048