The Global Centre for Risk and Innovation (GCRI)
Model descriptions are published here once reviewed, with their assumptions, evidence and validation. They describe models; they are not live simulations.
Biodiversity Nexus reviewed models are published descriptions of the models used in the biodiversity and nature field, with their assumptions, data, validation and limits, built on methods such as ecology and biodiversity science as well as Earth observation and remote sensing. They describe models; they are not live simulations, and no output on them is a finding.
Fig.A programme from scoping to the owner's decision. Design, not a record.
Mountain ranges, deserts, wetlands, glaciers and reefs, and how remote each division is from large cities, shown for the Andes as an example geography for this subject.
| Model class | Open examples | Question it answers | Validation |
|---|---|---|---|
| Species distribution models | MaxEnt and open ensemble frameworks | Where species occur and may shift | Independent occurrence data, transferability tests |
| Biodiversity scenario models | Models used in IPBES scenario assessments | Biodiversity under land-use and climate pathways | Model intercomparison |
| Ecosystem service models | InVEST, ARIES | Service flows and beneficiaries | Comparison with measured flows |
| Land-use change models | Open land-change models | Where conversion pressure is highest | Hindcast against observed change |
Scenario outputs indicate direction and relative size of change under stated assumptions.
Analysis runs in Nexus Foundry; reviewed releases are listed here.
Each term as this page uses it. Where a standard-setting body defines the term, the wording follows that body.
| Term | Definition |
|---|---|
| Model validation | Comparing model predictions with independent observations to judge fitness for a stated use. |
| Model card | A short document describing a model's intended use, training data, performance and limits. |
| Uncertainty quantification | Characterising and propagating the uncertainties in a model to state confidence in its outputs. |
| Surrogate model | A fast statistical model trained to approximate a slow simulation or experiment. |
The bodies and documents this page is read against. Status and editions change; each link goes to the issuing body.
The current service level is R0: information and enquiries. An enquiry receives a reference and names the next step; applications, payments, compute allocations and registrations open only when their team, terms and review capacity exist.