earticle

영어

Forest ecosystems are increasingly vulnerable to a range of natural disasters such as wildfires, landslides, and windstorms, which cause significant ecological and economic damage. As postdisaster recovery becomes a priority in forest management, the reuse of site-specific byproducts, including timber, debris, and eroded materials, serves as a viable strategy to enhance ecological restoration and support emergency rehabilitation. Despite growing interest, the scientific landscape surrounding forest disaster recovery and the utilization of residual materials remains unexplored. This study aims to synthesize the current body of research on forest disaster recovery and byproduct utilization to prevent secondary disturbances. We conducted a text mining approach to explore the current landscape of research on forest disaster recovery and the utilization of byproducts. We collected a dataset of research abstracts and titles from publicly available databases, such as PubMed, Crossref, and Google Scholar, using targeted keyword queries (e.g., “forest disaster”, “restoration”, “rehabilitation”, “recovery”, “byproduct utilization”, and related terms). The text data were pre-processed to remove stop words and standardize terms. We then conducted word frequency analysis, term co-occurrence mapping, and topic modelling to identify dominant themes, conceptual linkages, and emerging trends. These findings provide a foundational understanding of existing research directions, inform the design of subsequent field-based technology development phases, and help identify emerging opportunities for interdisciplinary collaboration. Ultimately, this literature-based insight will support the development of practical, standardized, and locally adaptable technologies for post-disaster forest restoration and sustainable byproduct reuse, aligned with national and global sustainability goals.