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Table 4 Effect of fire intensity on raking treatment efficacy for sugar pine in Sequoia and Kings Canyon national parks, California, USA. Three-year post-fire mortality was modeled using logistic mixed effects regression. Trees were assigned to a fire intensity category based on percent crown volume scorched. Low intensity = scorch (percent crown volume scorched) = 0% (n = 172), Moderate intensity = scorch between 1% and 79% (n = 181), or High intensity = scorch% >80% (n = 104). Fixed effects in the models were burn unit, raking treatment, and fire intensity category, and an interaction between raking and fire intensity category. Plot was included as a random effect. Estimate is the coefficient from the GLMM, with associated standard error (SE) and P-value.

From: The Effects of Raking on Sugar Pine Mortality following Prescribed Fire in Sequoia and Kings Canyon National Parks, California, USA

Mixed effects logistic regression

Fixed effects

Estimate

SE

P-value

Intercept

−1.917

0.906

0.034

Redwood Canyon

−1.101

0.672

0.101

Wall Spring

−1.941

0.654

0.003

Unraked

1.141

0.854

0.181

Low intensity

6.563

0.920

<0.001

Moderate intensity

4.861

0.795

<0.001

Unraked: low intensity

−1.393

1.100

0.205

Unraked: moderate intensity

−1.940

0.922

0.035