Abstract

Building a large-scale biodiversity data infrastructure based on citizen science and its practical applications

Shogoro FUJIKI, Takezo KANAOKA, Hisayoshi KOGA

Biome Inc.

 Nature-related risk assessment and disclosure are becoming increasingly important for a wide range of actors, including corporations, financial institutions, and local governments. The advancement of the Kunming–Montreal Global Biodiversity Framework and the Taskforce on Nature-related Financial Disclosures (TNFD) has intensified the need to visualize dependencies and impacts on nature and to integrate them into decision-making processes. However, data infrastructures that quantitatively capture ecosystem conditions at regional scales and connect them to economic activities and policy decisions remain insufficient.

 This presentation outlines the development of a large-scale biodiversity database built upon citizen-science-based biological observation data, as well as advances in species distribution modeling derived from these datasets. By organizing ecological information into spatially explicit layers, we examine how overlay analyses with corporate activities, financial portfolios, and regional planning frameworks can help identify nature-related risks and opportunities.

 We demonstrate that biodiversity data accumulated through citizen science can function as a foundational information base for understanding regional ecosystem conditions and supporting nature-related risk awareness in business activities, public policy, and financial practice.