Nature Data Lab Launches Global Safety Net v3 to Monitor Worldwide Conservation Efforts
The Nature Data Lab has introduced Global Safety Net v3 (GSN3), a geospatial platform utilizing satellite imagery and artificial intelligence to monitor the status of natural lands globally. Developed to assist in tracking progress toward the U.N. Convention on Biological Diversity's '30x30' goal—protecting 30% of global lands and oceans by 2030—the tool provides a neutral, third-party assessment of conservation effectiveness. GSN3 operates at a 90-meter resolution, offering significantly higher detail than previous iterations, and incorporates data on Indigenous-managed territories, which the initiative identifies as highly effective for conservation.
Key points
- Global Safety Net v3 (GSN3) uses satellite imagery and AI to map natural land and conservation status.
- The platform aims to support the U.N. '30x30' goal of protecting 30% of global land and oceans by 2030.
- GSN3 operates at a 90-meter resolution, described as 100 times more accurate than the original version.
- The tool includes Indigenous and traditional territories as a distinct, effective category of conservation.
- GSN3 serves as an independent watchdog to monitor how countries and organizations are meeting conservation targets.
What happened
The Nature Data Lab, a U.S.-based research organization, has launched the third version of its Global Safety Net (GSN3) platform. This geospatial tool is designed to provide a consistent, global-scale view of natural land, its ecological importance, and its current conservation status.
According to Karl Burkart, director of the GSN3 initiative, the platform functions as a neutral observer for the biodiversity community. It allows users to analyze land classes, ecological functionality, and various conservation methodologies, including government-protected areas and Indigenous-led territories.
Context
The development of GSN3 follows the 2022 adoption of the Kunming-Montreal Global Biodiversity Framework, which established the '30x30' target. Conservation scientists have faced challenges in determining which specific lands are most critical for biodiversity and how to accurately monitor progress toward these international goals.
GSN3 improves upon previous versions by utilizing a 90-meter resolution, developed in partnership with The Nature Conservancy. By analyzing the history of human modification—such as roads, mining, and urban expansion—the team can deductively identify areas that remain ecologically significant versus those converted to human use.
What's next
The Nature Data Lab intends for the platform to be used for annual monitoring of conservation trends across different countries. Potential future applications include guiding philanthropic investment toward priority landscapes and exploring corporate accountability by identifying ecoregions that are most degraded or least protected.
The team is also exploring the use of AI to model connectivity scenarios, aiming to help link smaller 'microrefugia'—pockets of biodiversity that have escaped development—to larger protected areas.
Why it matters
GSN3 provides a standardized, independent method for tracking global conservation progress, helping to ensure that land protection efforts are directed toward areas of highest ecological importance rather than just meeting arbitrary percentage targets.
