Feature extraction and classification of climate change risks: a bibliometric analysis.

Area of Science:

• Environmental Science
• Climate Science
• Risk Assessment

Background:

• Climate change poses significant risks to global development, necessitating a deeper understanding of its features.
• Existing research lacks a systematic review for extracting and classifying climate change risk features.

Purpose of the Study:

• To systematically review and extract features of climate change risks.
• To establish a comprehensive climate change risk feature system for better identification and assessment.

Main Methods:

• Bibliometric analysis of climate change literature from the Web of Science database.
• Analysis of coauthorship, citations, bibliographic coupling, co-citations, and keyword co-occurrence.
• Text mining and cluster analysis to establish the risk feature system.

Main Results:

• Five key dimensions of climate change risk features were extracted: nature, politics, economy, society, and culture.
• A risk feature system was established, encompassing ecosystem/sustainability, uncertainty/vulnerability/efficiency, behavior/decision-making, governance/management, and adaptation/mitigation.
• Climate change risks exhibit high variability, blurred boundaries, expanding affected areas, and diversified governance strategies.

Conclusions:

• The identified features highlight the need for adjusted policymaking and managerial practices.
• Strengthening interdisciplinary cooperation, human cognition, and public participation is crucial for addressing climate change risks.