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Pilot 4

Forest insurances against windthrow risks

Pilot lead: AXA Climate


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Insurance is a risk transfer solution which can compensate financial losses of forest stakeholders following climate disasters, while encouraging landowners or forest managers to invest in risk reduction and adaptation measures. This pilot aims to actively engage forest owners and other key stakeholders in exploring existing forest insurance products and designing new innovative insurance covers that also consider evolving climate risks and implemented adaptation measures, focusing on windthrow risks.



Windstorms account for approximately 50% of all reported forest disturbance damage in Europe between 1950 and 2019. Yet only 1-5% of Germany's forest area is insured against this risk. This pilot, led by AXA Climate, set out to close that gap by designing and validating an innovative, climate-sensitive insurance solution for windthrow—one that reflects actual forest vulnerability and delivers fast, transparent payouts.

The first phase of the pilot focused on building a use-case of climate insurance for forests in Germany by working together with a private forest owner Forst Arco-Zinneberg through six co-design workshops to scope risks and develop first modelling concepts. It involves identifying significant weather-related risks for the plots, comparing those to currently available products, and understanding the non-insured local partner's interest for various types of insurance covers. AXA Climate partnered with AXA Germany and Arco-Zinneberg to understand the perceived risks and primary considerations for the local context, and windthrow was rapidly identified as the dominant and most insurable peril. Based on this initial scoping exercise, different scenarios of insurance design were then explored, studying both indemnity and parametric insurance structures, with variations in the degree of risk, triggers, and insured value.

From there, the team built two core technical components: a stand-level forest vulnerability map, using machine-learning clustering of characteristics such as species composition, canopy height, tree density, and topography; and a Wind Power Exposure Index (WPEI), integrating wind intensity, direction, and storm duration. Together, these can be utilized for the estimation of expected storm damages at a forest-stand level, and support insurance product development and pricing. This combined framework was validated across regions in Germany, France, Ireland, Scotland, and Denmark. Indicative pricing simulations produced a premium of approximately 5 €/ha/year for an insured value of 1,000 €/ha, which is broadly aligned with the observed willingness-to-pay levels for forest insurance in Europe.

The framework developed under PIISA demonstrates that wind risk for forests can be quantified, priced, and insured in a scalable way. The WPEI modelling architecture uses globally available ERA-5 Land data, making it deployable across Europe without structural redesign, though regional calibration remains essential to tailor the index to different biogeographic regions and calibrate it with local back-testing against historical events.





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