ARTIFICIAL INTELLIGENCE TECHNOLOGY FOR RAPID NATURAL CAPITAL ACCOUNTING: THE ARIES FOR SEEA EXPLORER
Summary
The ARIES for SEEA Explorer is an AI-powered, open-source tool that enables rapid, standardized, and customizable natural capital accounting globally. By utilizing machine reasoning and a semantic web of data, it allows National Statistical Offices (NSOs) and other users to generate ecosystem accounts for any terrestrial area, reducing technical barriers for data-scarce countries while allowing for local customization. The tool supports monitoring for the SDGs, the Paris Climate Agreement, and the post-2020 Global Biodiversity Framework.
Key insights
- The ARIES for SEEA Explorer is an open-source digital tool that allows for rapid, standardized, and customizable ecosystem accounting for any terrestrial area on Earth, including countries, administrative regions, or watersheds.
- The tool currently provides functionalities to assess three primary areas: ecosystem extent based on the IUCN Global Ecosystem Typology, ecosystem condition (currently limited to forest types), and selected ecosystem services in both physical and monetary units.
- ARIES utilizes machine reasoning, a form of AI, to automate the selection of the most appropriate data and models based on a user's specific request, location, and spatiotemporal resolution.
- The tool is designed to bridge technical gaps between nations by providing global data and generalized models for data-scarce countries, while remaining customizable for those with better local data resources.
Cite the original document
- APA
- Villa, F., Balbi, S., Bulckaen, A., & Ochoa, A. (2021). ARTIFICIAL INTELLIGENCE TECHNOLOGY FOR RAPID NATURAL CAPITAL ACCOUNTING: THE ARIES FOR SEEA EXPLORER. Basque Centre for Climate Change. https://www.bc3research.org/h6T8Uy8Nm4gFs0O/202109060157421709414720.pdf
- Chicago
- Villa, Ferdinando, Stefano Balbi, Alessio Bulckaen, and Amelia Ochoa. ARTIFICIAL INTELLIGENCE TECHNOLOGY FOR RAPID NATURAL CAPITAL ACCOUNTING: THE ARIES FOR SEEA EXPLORER. Basque Centre for Climate Change, 2021. https://www.bc3research.org/h6T8Uy8Nm4gFs0O/202109060157421709414720.pdf.
- Wikipedia
- {{cite report |last1=Villa |first1=Ferdinando |last2=Balbi |first2=Stefano |last3=Bulckaen |first3=Alessio |last4=Ochoa |first4=Amelia |title=ARTIFICIAL INTELLIGENCE TECHNOLOGY FOR RAPID NATURAL CAPITAL ACCOUNTING: THE ARIES FOR SEEA EXPLORER |publisher=Basque Centre for Climate Change |date=2 September 2021 |url=https://www.bc3research.org/h6T8Uy8Nm4gFs0O/202109060157421709414720.pdf |access-date=23 October 2026 |via=Climate Insights Directory}}
- BibTeX
- @techreport{villa2021artificial, author = {Villa, Ferdinando and Balbi, Stefano and Bulckaen, Alessio and Ochoa, Amelia}, title = {{ARTIFICIAL INTELLIGENCE TECHNOLOGY FOR RAPID NATURAL CAPITAL ACCOUNTING: THE ARIES FOR SEEA EXPLORER}}, institution = {Basque Centre for Climate Change}, year = {2021}, month = sep, url = {https://www.bc3research.org/h6T8Uy8Nm4gFs0O/202109060157421709414720.pdf}, urldate = {2026-10-23}, note = {Indexed by Climate Insights Directory} }
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