Ecological Archives A024-034-A2

Susan J. Prichard, Maureen C. Kennedy. 2014. Fuel treatments and landform modify landscape patterns of burn severity in an extreme fire event. Ecological Applications 24:571–590. http://dx.doi.org/10.1890/13-0343.1

Appendix B. Spur area sequential autoregression (SAR) regression models of categorical predictor variables including: (a) treatment type, (b) mountasin pine beetle (MPB) classification, and (c) cover type.

Spur area SAR regression models of categorical predictor variables including: (a) treatment type (base contrast = no treatment; AIC = 1908719), (b) mountain pine beetle class (MPBclass; base contrast = green, AIC = 1908687), and (c) cover type (base contrast = Grassland; AIC = 1908756). Intercepts of each model represent the base contrast and slope coefficients and corresponding p-values indicate whether factors have a significantly greater or less effect on the relative difference Normalized Burn Ratio (RdNBR) than the base contrast. Treatment types include clearcuts (CC), clearcut and broadcast burn (CCBB), no treatment (NT), thin only (Thin), thin and broadcast burn (ThinBB), and past wildfires (WF). MPB classes include unattacked, green vegetation (Green), mixture of red attack and green vegetation (Mixed), and red attack (Red).

a)

Treatment

Estimate

SE

p

(Intercept)

770.2325

5.7350

< 0.0001

CC

-18.6152

5.7493

0.0013

CCBB

-53.2577

5.2963

< 0.0001

LB

-37.8212

27.0926

  0.1627

Thin

-3.3561

7.5688

0.6575

ThinBB

-24.3981

8.4952

0.0041

ThinSan

-7.7566

14.8867

0.6023

WF

-7.7496

11.8452

0.5130

b)

MPB class

Estimate

SE

p

(Intercept)

765.3223

5.7679

< 0.0001

Mixed

5.6664

0.7757

< 0.0001

Red

8.8354

1.4855

< 0.0001

Regen

-22.0276

2.5886

< 0.0001

c)

Cover type

Estimate

SE

p

(Intercept)

758.9260

5.9513

< 0.0001

dry mixed conifer

7.2283

1.8275

< 0.0001

Engelmann spruce / subalpine fir

12.9484

1.9940

< 0.0001

lodgepole pine

15.1546

2.1310

< 0.0001

nonvegetated

-4.3772

4.2482

0.3028

ponderosa pine

6.5372

3.1592

0.0385

riparian

2.0705

3.8034

0.5862

shrub

-2.2335

2.9601

0.4505

subalpine forest

13.0450

2.2539

< 0.0001


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