Plantation Fire Risk Modelling Is Getting Better. Insurance Is Not Catching Up


Plantation fire risk modelling has improved substantially in the last three years. The combination of finer-resolution remote sensing, better fuel load models, and integration with climate prediction has produced fire risk estimates at the individual coupe level that are genuinely useful for operational decisions. The insurance market has not adjusted to reflect these improvements, and the gap is creating both opportunity and risk.

What the models can do

The modern plantation fire risk models can produce probability estimates for fire affecting a specific coupe over the next 12 to 24 months, accurate to within ranges that are operationally meaningful. The inputs are fuel load, weather forecasting, fire weather indices, ignition source proximity, and historical fire patterns at the location.

The outputs are probability distributions rather than point estimates, but the distributions are tight enough that operational and financial decisions can be made off them.

What the insurance market is doing

Plantation fire insurance pricing is still largely based on broad geographic categories and historical loss ratios. The granular risk estimates that the modelling produces are not being reflected in premium structure.

The effect is that plantations in genuinely high-risk locations are paying premiums that may not adequately price the risk, while plantations in genuinely lower-risk locations are paying premiums that overstate it. This is a market inefficiency that should not persist.

Why insurance has not adjusted

Three reasons. The first is data verification — insurers want to verify the model inputs and outputs independently before pricing off them, and that work is slow. The second is regulatory and reinsurance pressure to maintain historical pricing methodologies until enough validation data has accumulated. The third is competitive — insurers are reluctant to be the first to reprice in a market where the risk pool dynamics are uncertain.

The third reason is the one that is most likely to break first. As soon as one major insurer prices off the new modelling, the rest will have to follow or lose the lower-risk customers.

The operational opportunity

For plantation operators in genuinely lower-risk locations, the insurance pricing gap is an opportunity. Switching to insurers willing to price off the new modelling can reduce premiums materially. The operators that have done this in 2025 and early 2026 are reporting savings of 20% to 35%.

For plantation operators in higher-risk locations, the gap is a warning. Premiums will reprice when the market adjusts, and the operations that have planned for that adjustment will be in better shape than the ones that have not.

The risk management response

Beyond insurance, the better risk modelling enables better operational risk management. Coupe-level risk estimates inform decisions about fuel reduction burning, fire break maintenance, water point placement, and equipment positioning. The operators that have integrated the modelling into their operational decision-making are reducing actual fire losses, not just managing the financial exposure.

The combination of better operational risk management and right-priced insurance is the destination. Most plantation operators are partway through the journey.

What is next

The pressure on the insurance market to adjust is building. The next 18 months will probably see at least one major insurer reprice based on the new modelling, which will force a broader market response. The plantation operators who have built relationships with the insurers that are most likely to lead will be positioned to benefit.

The plantation forestry sector has more sophisticated risk management capability than the insurance market is rewarding. That gap is going to close one way or another, and the operators who have prepared for the close will do better than those who have not.