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Table 2 Prediction of fire behavior variables from weather and fuel variables

From: Season affects fire behavior in annually burned humid savanna of West Africa

Response and explanatory variables

s.e.e.

R2

F

P-value

Log(I) = 10.61 – 0.0589 FM*** – 0.0187 AH.

0.5701

0.55

14.89

< 0.0001

Log(r) = 0.8036 – 0.0717 FM*** – 0.0191 AH*

0.5697

0.63

20.54

< 0.0001

H = 4.4963 – 0.0388 FM*** – 0.0189 AH**

0.3587

0.64

20.97

< 0.0001

T = 1028.161 – 73.324 GH – 4.226 FM – 3.466 AH*

105.967

0.45

6.41

0.002

Rt = 0.8694 – 0.7908 FL** + 0.0206 FM.+ 0.0221 AH** + 0.02496 AT

0.7276

0.51

5.74

0.002

C = 106.755 – 6.452 GH*

3.197

0.34

12.99

0.001

  1. Results show best models found by stepwise backward multiple regressions with plot and year as crossed random effects (using the R step function of the lmerTest package). Response (predicted) variables: fire intensity (I), rate of fire spread (r), flame height (H), fire maximum temperature (T), fire residence time above 60 °C (Rt), and combustion efficiency (C). Explanatory (predictors) variables: fuel load (FL), fuel moisture content (FM), grass height (GH), wind speed (W), air humidity (AH), air temperature (AT). s.e.e. = standard error of estimation; R2 = coefficient of determination; F = F value
  2. ***P < 0.001
  3. ** P < 0.01
  4. *P < 0.05
  5. .P < 0.1
  6. P > 0.1