Nature Stress TestPrimer

Nature Stress Test — Primer

A jargon-free introduction to the Nature Stress Test for newcomers: what it measures, the key words you will meet (shock, ecosystem service, dependency, scenario), and how to read the results.

Nature Stress Test — Primer

Who this page is for. Anyone new to nature risk who wants to understand the Nature Stress Test without the technical vocabulary — corporate sustainability teams, newcomers, or anyone reading the results for the first time. It introduces the ideas in plain words. The full method is on the Nature Stress Test overview; the precise definitions are in the Glossary.

The one idea

Nature does a lot of work for a company, for free. Bees pollinate its crops, wetlands filter its water, healthy soils hold together its land. A business rarely pays for this work, but it depends on it.

The Nature Stress Test asks a simple question: if that free work from nature degrades in the future, how much of a company's production — and therefore its revenue — is at risk?

It does this site by site, because a factory in a dry region and a farm in a wet one are not exposed in the same way.

The words you will meet

Five words carry most of the method. Once they are clear, the rest follows.

1. Shock

A shock is how much something from nature is expected to change in the future, compared to today. We write it as a percentage.

The sign matters, and it may feel backwards at first:

  • A negative shock means degradation — the bad case. Less clean water, fewer pollinators, poorer soils.
  • A positive shock means recovery — the good case.

So throughout the tool, more negative = worse.

2. Ecosystem service

An ecosystem service is a benefit nature gives you — a job nature does for your business. Clean water, pollination, protection from soil erosion, natural pest control. These are the things a company would have to pay for, or lose production over, if nature stopped providing them.

3. Ecosystem component

An ecosystem component is a building block of nature — a part of the natural world we can measure on a map. The tool uses five: water, species, soils, atmosphere, and habitats.

The difference between a component and a service is worth holding onto:

  • A component is a part of nature (the soil, the water).
  • A service is a benefit that part provides (holding land in place, filtering pollutants).

Components combine to deliver services — healthy soils and water together deliver "water purification", for example.

4. Dependency

A dependency is how much a given site actually relies on a service. A soft-drink plant depends heavily on water; a data centre much less. The tool does not guess this — it reads it from ENCORE, a scientific reference database that rates each activity's dependency on each service, from very low to very high.

A shock only hurts you in proportion to your dependency. A big shock on a service you barely use does little damage; a moderate shock on a service you lean on heavily does a lot.

5. Scenario and horizon

Nobody knows the exact future, so the tool tests two of them:

  • an optimistic scenario, where the world acts strongly and pressures on nature stay low;
  • a pessimistic scenario, where action is weak and nature is under heavy pressure.

Each is projected at three dates2035, 2050 and 2080 — so you see a trajectory, not just a single snapshot.

How a shock becomes euros

The whole method is one short chain. In plain words:

A service degrades (the shock) → it hits your production, but only as much as you depend on that service → the lost production is applied to the site's revenue → the result is a financial loss, in euros.

A worked example, with round numbers:

  1. Water purification is projected to degrade by 20 % at your site (the shock).
  2. Your site's dependency on water is 80 % — it relies heavily on it.
  3. So the production actually at risk is 20 % × 80 % = 16 %.
  4. The site earns €10 million. 16 % of that is a €1.6 million expected loss.

Every number in the tool is built this way, and you can always open it to see each step.

Reading the results without over-reading them

Three habits will keep you on the right side of the method.

Treat it as a signal, not an invoice. The tool tells you where the risk is concentrated — which sites, which services — far more reliably than it tells you an exact euro amount. Trust the ranking more than the decimals.

The signal is strong when results agree. When the same sites and the same services keep coming up across both scenarios and all three horizons, that is a robust finding. When a result appears in only one scenario, treat it with more caution.

Expect a range, not a single figure. Because there are two scenarios and three horizons, each loss comes as a minimum-to-maximum bracket. A wide range is itself information — it tells you the outcome depends a lot on which future unfolds.

Two results can look surprising, and both are normal. A 2080 loss can be smaller than a 2050 one, and the "optimistic" scenario can occasionally look worse than the pessimistic one at a specific site. These are real features of the underlying climate and land-use projections, not errors — the Shock Layers page explains why.

Mini-glossary

TermIn plain words
ShockHow much something from nature is expected to change vs today, in %. Negative = degradation (bad).
Ecosystem serviceA benefit nature gives your business for free — clean water, pollination, pest control.
Ecosystem componentA measurable part of nature: water, species, soils, atmosphere, habitats.
DependencyHow much a site relies on a service (from very low to very high), read from the ENCORE database.
Production shockThe share of a site's production put at risk = shock × dependency.
ExposureThe financial base the loss is applied to — usually the site's revenue.
ScenarioOne plausible future — an optimistic and a pessimistic one are tested.
HorizonA future date the tool projects to: 2035, 2050 or 2080.
Aggregation (Max / Sum)How losses are combined. Max keeps only the single worst service per site (a prudent "weakest-link" reading); Sum adds them all up.
Range (min–max)The bracket a loss falls in across scenarios and horizons — a wide bracket means the future path matters a lot.
ENCOREThe scientific reference database behind the dependency ratings. See the ENCORE page.

This primer simplifies deliberately. For exact definitions, sources and formulas, see the Nature Stress Test overview, the Shock Layers page, and the Glossary.