Assessing the Impact of Urban Green Spaces on Biodiversity in Riverside City Parks

Thesis Abstract

Urban green spaces (UGS) within city environments are increasingly recognized for their critical role in supporting biodiversity, yet their actual impact on ecological health remains insufficiently quantified in rapidly urbanizing contexts. This study addresses the need to systematically assess how park management practices and spatial configurations influence biodiversity levels in Riverside City Parks, with implications for urban planning and conservation strategies. The primary aim is to evaluate the relationship between the extent and quality of green spaces and the diversity of flora and fauna, identifying key factors that enhance or hinder biodiversity in urban park settings. Specific objectives include (1) to quantify biodiversity indices across selected parks; (2) to analyze the influence of park size, vegetation cover, and human activity on biodiversity; (3) to examine stakeholder perceptions and park management practices; and (4) to develop a model for optimizing biodiversity conservation in urban parks. To achieve these objectives, the research adopts a mixed-methods approach. The quantitative component involves a cross-sectional survey of ten strategic parks within Riverside City, selected through stratified random sampling, with a total sample of 250 park visitors and 40 park managers. Vegetation and wildlife surveys will be conducted using transect sampling and point count methods, with biodiversity assessed through Shannon-Wiener and Simpson diversity indices. The qualitative component comprises semi-structured interviews with park managers and focus group discussions with community stakeholders, analyzed thematically to capture contextual insights. Data collection instruments include biodiversity assessment protocols, questionnaires, interview guides, and observational checklists. The validity and reliability of survey instruments will be ensured through pilot testing, expert validation, and consistency checks. Analytical techniques planned include descriptive statistics to summarize biodiversity data, multiple regression analysis to examine relationships between park attributes and biodiversity indices, and thematic analysis for qualitative data. The study will employ the Social-Ecological Systems Theory and the Biophilia Hypothesis to interpret findings within broader ecological and human-nature interaction frameworks. These theories underpin the analysis of how human behavior and park management influence ecological outcomes. The expected findings are that larger parks with highVegetation heterogeneity and limited human disturbance significantly enhance biodiversity levels. The study anticipates identifying specific park features, such as native plant species richness and habitat connectivity, as critical determinants of biodiversity. Furthermore, stakeholder perceptions are likely to reveal gaps in park maintenance and community engagement that impact ecological sustainability. The combined data will facilitate the development of a predictive model for biodiversity conservation in urban green spaces, integrating ecological, social, and management variables. This research contributes novel empirical evidence to the growing body of literature on urban ecology by integrating ecological assessments with stakeholder perspectives and management practices. It provides a case-specific model that can inform urban planning policies, emphasizing biodiversity-friendly design and management of green spaces. The study underscores the importance of strategic spatial planning, native vegetation restoration, and community involvement in fostering resilient urban ecosystems. In conclusion, the findings suggest that targeted interventions in park management and urban spatial planning can significantly enhance biodiversity outcomes in Riverside City. Recommendations include increasing park sizes where feasible, promoting native species replanting, enhancing habitat connectivity, and fostering community stewardship programs. The study advocates for policies that integrate ecological metrics into urban development frameworks and calls for further longitudinal research to monitor biodiversity dynamics over time in response to urban expansion and climate change.