Sentence examples for fire probability from inspiring English sources

LANDIS evaluated the potential fire risk for each forest stand by rating the potential fire intensity and fire probability.

Estimates of fire probability were obtained by relating previous fire locations to environmental variables and human population density.

Here we integrate global fire datasets and environmental covariates to build spatial statistical models of fire probability at a 0.5° resolution and examine environmental controls on fire activity.

This is repeated for over 100 million discrete ignition points across California to generate "heat maps" of fire probability, fire consequence, and fire risk.

Potential fire risk is determined by the potential fire intensity and fire probability, which are derived from fire cycle (fire return interval) and the time since last fire.

To forecast wren abundance, we used a meta-population model created from maps of wren abundance, cactus abundance, land use, and estimated fire probability.

Finally, a sensitivity analysis of input fire probabilities and transition times was performed.

Most far-term model agreement on increasing fire probabilities (62 percent) occurs at mid- to high-latitudes, while agreement on decreasing probabilities (20 percent) is mainly in the tropics.

Rather, we find that the interplay of changing temperature and precipitation might result in a rearrangement of global fire probabilities overall, even as global temperature increases.

Current fire probabilities (Figure 1C) exhibited a median of 0.42, and values 0.08 above and below the median were selected as cutoffs for current low and high probabilities, respectively.

However, the potential for relatively rapid and large changes in fire probabilities seen in our FIRENPP ensembles for 2010 2039 illustrate that in the near term, fire activity could change faster than many terrestrial species may be able to accommodate.