A Framework for Adaptive Resilience in Urban Green Space Plant Communities

Thesis Abstract

Urban green spaces are essential components of sustainable cities, providing ecological, social, and economic benefits; however, their plant communities face increasing threats from climate change, urbanization, and environmental stressors that compromise their resilience. This study seeks to develop a comprehensive framework for understanding and enhancing the adaptive resilience of plant communities within urban green spaces, aiming to inform sustainable management strategies that promote ecological stability amidst mounting urban pressures. The specific objectives include (1) to identify key ecological and social factors contributing to plant community resilience in urban contexts; (2) to evaluate existing resiliency models using empirical data; (3) to develop an integrated theoretical framework grounded in resilience theory, adaptive management, and ecological succession; and (4) to validate the framework through case studies in diverse urban environments. The study adopted a mixed-methods research design, integrating quantitative and qualitative approaches to capture complex interactions influencing resilience. The target population comprises plant communities in urban parks, residential green areas, and institutional campuses within a metropolitan city with a population exceeding five million. A stratified random sampling technique was employed to select 25 green spaces from different urban zones, yielding a total sample of 150 plant community plots. Data collection involved structured phytosociological surveys, remote sensing imagery, and semi-structured interviews with urban landscape managers, sustainability officers, and local policymakers. Vegetation parameters such as species diversity, structural complexity, and physiological stress indicators were assessed, alongside spatial data on land use changes. The validity and reliability of survey instruments were confirmed through pilot testing and expert validation, with inter-rater reliability coefficients exceeding 0.85. Data analysis is conducted via multivariate statistical techniques, including Principal Component Analysis (PCA) to identify key resilience factors, followed by multiple regression analysis to evaluate their influence on plant community stability. Thematic analysis was applied to qualitative interview transcripts to explore social dimensions influencing resilience strategies. The study also employs structural equation modeling (SEM) to develop and validate the proposed resilience framework, linking ecological and social variables based on resilience theory and the Adaptive Cycle model. Findings are expected to reveal that biodiversity richness, habitat connectivity, community engagement, and adaptive management practices significantly enhance resilience. The identification of stakeholder perceptions and policy impacts will elucidate social drivers of resilience, while spatial analyses will demonstrate the importance of landscape connectivity. The theoretical contribution of this study lies in the integration of resilience theory and ecological succession models into a practical framework tailored to urban plant communities. Anticipated results will highlight how adaptive management practices, community participation, and landscape connectivity synergistically bolster resilience, providing a foundation for urban planning policies that foster sustainable green spaces. The developed framework aims to serve as a decision-support tool for urban planners, landscape architects, and policymakers seeking to mitigate environmental stresses and enhance ecological stability. In conclusion, this research offers a novel, empirically validated framework for fostering adaptive resilience in urban green space plant communities. Recommendations include implementing community-based conservation programs, enhancing habitat connectivity, and adopting flexible management practices aligned with ecological dynamics. Further research should explore long-term monitoring of resilience indicators and the application of the framework across different climatic and socio-economic contexts to generalize its utility. The study underscores the necessity of interdisciplinary approaches combining ecological science, social participation, and urban planning to sustain resilient urban landscapes amidst the challenges of the 21st century.