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Table 1 Summary of posterior distributions from the multi-season occupancy model (400-ha scale). Results are organized by sub-model component (detection, initial occupancy, colonization, and persistence). SD standard deviation, LCL lower 95% Bayesian credible limit, UCL upper 95% Bayesian credible limit, f proportion of posterior distribution with the same sign as the mean (i.e., probability of effect being in the direction of the mean). All coefficient values are on the logit scale

From: Frequent burning and limited stand-replacing fire supports Mexican spotted owl pair occupancy

 

Mean

SD

LCL

UCL

f

Detection (p)

 Intercept

− 0.862

0.394

− 1.613

− 0.081

0.983

 Wind

− 0.166

0.089

− 0.341

0.002

0.972

 Julian date

0.013

0.002

0.008

0.018

1.000

 Noise

− 0.404

0.126

− 0.659

− 0.173

0.999

 Year (random effect)a

6.615

4.837

1.185

19.031

1.000

Initial occupancy (ψ1)

 Intercept

− 0.172

0.229

− 0.613

0.278

0.787

 Fire (grouping variable)

0.236

0.330

− 0.381

0.907

0.761

 Number of burns (1984–2014)

0.345

0.319

− 0.248

0.974

0.857

 High-severity (1984–2014)

− 0.013

0.206

− 0.433

0.389

0.521

Colonization (γ)

 Intercept

− 2.619

0.448

− 3.376

− 1.723

0.998

 Fire (grouping variable)

− 0.573

0.717

− 2.103

0.681

0.781

 After

0.397

1.084

−1.671

2.470

0.644

 Fire × after

0.374

1.083

− 1.713

2.532

0.637

 Fire × after × high-severity

0.057

0.274

− 0.494

0.481

0.653

 Year (random effect)a

5.892

6.179

0.216

22.25

1.000

Persistence (ϕ)

 Intercept

2.560

0.352

1.908

3.268

1.000

 Fire (grouping variable)

0.498

0.601

− 0.632

1.746

0.799

 After

− 0.255

1.120

− 2.421

1.959

0.590

 Fire × after

−0.242

1.082

− 2.346

1.885

0.603

 Fire × after × high-severity

− 0.484

0.193

− 0.889

− 0.120

0.992

 Year (random effect)a

6.991

6.993

0.539

24.879

1.000

  1. aThe random effect for year is represented as precision, or 1 divided by the variance