Category: Ecology

Summary: Testing whether adaptive wildfire suppression reduces burned area when sensing is timely but worsens outcomes when observations are delayed, noisy, and wind-amplified.

Wildfire management often depends on adapting suppression effort to changing fire intensity, but delayed or noisy situational awareness can make that feedback unreliable. This experiment asks whether adaptive suppression beats a fixed strategy when information is fresh, yet becomes counterproductive once observation lag and uncertainty grow.

The simulation evolves fires on a two-dimensional landscape with heterogeneous fuel and moisture, directional wind support, and suppression targeted to frontier cells under the highest ignition pressure. It compares fixed and adaptive effort across combinations of delay, observation noise, and wind strength, then measures burned fraction, containment, containment time, and control variability.

The main scientific question is whether feedback timing creates a reversal in policy performance. If it does, the result would show that adaptive suppression is not uniformly better, but instead depends on whether monitoring is fast and accurate enough to keep pace with fire spread.

Method: Repeated grid-based wildfire simulations comparing fixed and adaptive suppression across sensing delays, observation-noise levels, and wind strengths.

What is measured: Burned fraction, containment rate, containment time, control variance, adaptive-minus-fixed burned-area differences, and whether a delay-driven inversion in suppression performance is observed.