Optimizing climate crisis adaptation information: Establishment and evaluation of a taxonomic framework

Area of Science:

• Climate Science and Adaptation Planning
• Information Systems and Data Management

Background:

• Standardized adaptation information systems are lacking, hindering effective cross-border climate risk responses.
• Existing frameworks struggle to comprehensively categorize diverse climate impact drivers and adaptation strategies.

Purpose of the Study:

• To introduce the Korea National Climate Adaptation Information Taxonomy (KADT) for systematic organization of adaptation data.
• To enhance national climate risk classifications and improve the efficiency of adaptation planning.

Main Methods:

• Developed a bidirectional taxonomic structure integrating top-down policy categories and bottom-up climate impact drivers.
• Implemented a four-stage completeness inspection algorithm and impact chain for risk component categorization.
• Validated the framework through compatibility testing with the UK Climate Change Risk Assessment framework and function point analysis.

Main Results:

• Expanded national climate risk classifications from 72 to 118 detailed categories.
• Achieved operational efficiency improvements of 47.8-123.2% in risk analyses using KADT.
• Demonstrated international applicability and enhanced data integration capabilities with the Common Standard Format for Adaptation Information (CSFAI).

Conclusions:

• The KADT provides a standardized, efficient framework for national and international climate adaptation planning.
• The CSFAI enables automated quality assurance and facilitates evidence-based decision-making for climate risks.
• This approach supports enhanced cross-border collaboration to achieve global adaptation goals.