Systematic Literature Review and Meta‐Analysis of Landscape‐Scale Green Infrastructure Identification

ABSTRACT As an early concept in Green Infrastructure (GI) research, landscape‐scale GI (LGI) has faced challenges due to its large spatial scale, limiting its application compared to smaller‐scale GI. However, its efficiency and multifunctionality in supporting Sustainable Development Goals (SDGs) are gaining attention. To address knowledge fragmentation and research gaps, this study integrates meta‐analysis with a systematic review to examine key factors influencing LGI identification methods and their impact on results. Following PRISMA guidelines, relevant literature was systematically screened, and extracted data were transformed into binary‐coded variables for quantitative analysis. The findings reveal multiple determinants affecting LGI identification, validated through meta‐analytic techniques. By introducing an innovative binary‐variable meta‐analysis in environmental science, this study develops a generalizable framework that systematically synthesizes literature and extracts new insights, ultimately enhancing LGI's capacity to support SDGs more effectively.