Systematic Literature Review and Meta‐Analysis of Landscape‐Scale Green Infrastructure Identification
Bibliographic Data
| ID | 12306166 |
|---|---|
| Authors | Xiaoqi Yang (0000-0002-9086-9732, Graduate School of Horticulture Chiba University Matsudo Japan), Takeshi Kinoshita (0000-0002-1290-0650, Graduate School of Horticulture Chiba University Matsudo Japan), Qian Wang (0000-0002-8601-749X, Institute for Excellence in Educational Innovation Chiba University Chiba Japan), Yifan Chen (0000-0003-4075-7860, Graduate School of Science and Technology Keio University Yokohama Japan, corresponding author) |
| Year | 2025 |
| Volume | 33 |
| Issue | S1 |
| Pages | 475-500 |
| Publication date | 2025-06-21 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Sustainable Development (JOURNAL) |
| Journal identifiers | ISSN: 0968-0802 • E-ISSN: 1099-1719 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1002/sd.70011 |
| OpenAlex | W4411516844 |
| Language | EN |
| Citations received | 1 |
| References cited | 84 |
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
Data science · Geography · Identification (biology · Limiting · Management science · MEDLINE · Meta-analysis · Political science · Scale (ratio · Sustainable development · Systematic review · Computer Science · Engineering · Medicine · Noise Effects and Management · Urban Green Space and Health · Wildlife-Road Interactions and Conservation · Ecology
Land Mosaics
Clarifying differences between review designs and methods
Method for conducting systematic literature review and meta-analysis for environmental science research
A Comparison between Two Main Academic Literature Collections
Meta-analysis and the science of research synthesis
Writing Integrative Literature Reviews
Gray literature
The application of ‘least-cost’ modelling as a functional landscape model
Comparison of PubMed, Scopus, Web of Science, and Google Scholar
Promoting ecosystem and human health in urban areas using Green Infrastructure
Advancing urban green infrastructure in Europe
Green Infrastructure, Ecosystem Services, and Human Health
The PRISMA 2020 statement
Planetary boundaries
Machine Learning-Based Supervised Classification of Point Clouds Using Multiscale Geometric Features
A review of green infrastructure research in Europe
A ‘green’ chameleon
Quantitative assessment of green coverage changes under the human-biometeorological perspective
Progressing Green Infrastructure planning
From Multifunctionality to Multiple Ecosystem Services? A Conceptual Framework for Multifunctionality in Green Infrastructure Planning for Urban Areas
Ecosystem Services in Urban Landscapes
Nature-Based Solutions to Climate Change Adaptation in Urban Areas
The Regime Complex for Climate Change
| Citations per year | 1 |
|---|---|
| Citation span | 2025 - 2025 (1) |
| Highly cited | No |