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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