Analysis of Research Networks in Landscape and Ecology Related to Climate Change Adaptation Using Text Mining

Background and objective: This study systematically explores the research structure and trends in the fields of landscape and ecology in the context of climate change adaptation.Methods: A total of 509 research articles published between 1976 and 2025 were retrieved from the Scopus database and analyzed using author keyword-based text mining with VOSviewer.Results: The analysis revealed that research on climate change adaptation in the landscape and ecology fields showed sharp quantitative growth from 2008, coinciding with the IPCC Fourth Assessment Report and the first commitment period of the Kyoto Protocol. Keywords including climate change (363 occurrences), adaptation (136), landscape ecology (135), ecosystem (123), and biodiversity (103) formed the central axis of the research network. Cluster analysis identified four research domains: Cluster 1, "Biological Understanding," exploring genetic and physiological adaptation mechanisms; Cluster 2, "Policy and Management Feedback," addressing mitigation-adaptation policies and institutional implementation; Cluster 3, "Distribution and Change Prediction," predicting species distribution and habitat changes under future climate scenarios; and Cluster 4, "Spatial Decision Making and Execution," encompassing conservation prioritization and the development of protected area networks. Interpreting inter-cluster relationships through the frameworks of EBDM and IPCC (2014) revealed a cyclical structure: C1→C3→C4→C2→C1.Conclusion: This study quantitatively analyzes the flow of climate change adaptation research, demonstrating the development of a systematic and integrated research system, which spans from basic ecological understanding to policy implementation. The results can serve as foundational data for future policy formulation, evaluation indicators, and model development related to climate change and biodiversity.