Navigating nature-related data: metrics, sources and uses

More data is becoming available to support the analysis of nature-related financial risks. This note helps users identify relevant data sources and prioritise data and metrics according to specific use cases. It presents case studies showing how nature-related indicators can support financial risk analysis. Key lessons include the need for centralised data infrastructure, improved geospatial information, and combined datasets to better reflect complex ecosystem dynamics. The note also highlights the potential of new technologies, such as artificial intelligence, as well as stronger public-private cooperation to improve data quality and availability

This note is part of the NGFS 2026 Nature Package.