Keep forest care funded between crises
Separate prevention costs from emergency readiness.
A three-minute learning game about local nature and money
Nature-protection insurance moves pre-agreed money quickly when storms, floods, or other shocks damage ecosystems and the communities that depend on them. It can support the recovery of reefs, wetlands, forests, farms, and local livelihoods, often alongside community funds and prevention investment. Its value is not only compensation: it reduces the financing gap after a disaster and helps nature and work recover together. In this game, compare cases, amounts, and evidence, then shape a first idea for your own community.
About 3 minutesNo sign-upFree

IrohaYour guide to nature and money
2 / 3 Choose a route
Start with the three-minute game, or move straight into detailed regional design. You can switch later.
Start with nature or a local concern.
Keep evidence, calculation, and hypothesis distinct.
Get one page you can discuss locally.
Separate prevention costs from emergency readiness.
3 / 3 Design community nature insurance
1 Choose
You will learn: An entry point for nature and money

If unsure, start with any of the three recommendations.
3 results (three to start)
Enter two items only if you use this search.
Your input stays on this screen.
Where do these numbers come from?
Published cases and learning models are shown separately with sources.
about $850k Evidence
The Nature Conservancy: Insuring nature ↗up to $1m / storm Evidence
The Nature Conservancy: Hawai‘i reef insurance ↗¥300k–¥1m Calculation
U.S. Geological Survey: Why wetlands matter ↗¥200k–¥800k Hypothesis
FAO: Climate resilience for forest and farm producers ↗¥50k–¥300k Calculation
World Bank: Index-based insurance ↗within 14 days Evidence
CCRIF: COAST fisheries insurance ↗Can these numbers be trusted?
Verifiability matters more than making a number look large.
If a yen conversion is added, show the rate and date used.
Make it possible to verify which numbers were used and how.
Use three badges and never mix them as equivalent numbers.
Leave unknowns visible and name the information still needed.
Show when, where, and what a number covers beside its source.