A conceptual framework for assessing adaptive strategies in urban-dwelling wildlife populations

Thesis Abstract

Urbanization has increasingly transformed natural habitats, compelling wildlife populations to adapt in ways that ensure survival within anthropogenic environments. Despite growing recognition of these adaptive strategies, there exists a significant knowledge gap in systematically assessing and conceptualizing the processes underpinning wildlife responses to urban pressures. This study aims to develop a comprehensive conceptual framework for evaluating adaptive strategies employed by urban-dwelling wildlife populations, thereby contributing to conservation biology and urban ecology. The specific objectives are to (1) identify and categorize the types of adaptive behaviors exhibited by select taxa in urban settings, (2) analyze the environmental and anthropogenic factors influencing these strategies, and (3) synthesize these findings into an integrative framework that can be used for effective assessment and management. The research adopts a mixed-methods approach, combining quantitative and qualitative data collection and analysis. The study population comprises urban-adapted wildlife species, specifically foxes, raccoons, and certain bird species such as pigeons and crows, within a metropolitan area of approximately 10 million residents. A stratified random sampling technique was employed to select 30 sites representing diverse urban habitats, from city parks to residential neighborhoods. Quantitative data were gathered through direct behavioral observations, GPS telemetry to track movement patterns, and environmental assessments measuring variables like human activity levels, green space coverage, and resource availability. Qualitative data were obtained via semi-structured interviews with wildlife biologists and urban planners, and focus group discussions with local residents. Data analysis utilized thematic analysis for qualitative data, employing NVivo software to identify recurring themes related to adaptive behaviors and environmental influences. Quantitative data were analyzed through descriptive statistics, followed by multivariate regression analyses to determine significant predictors of adaptive strategies. Structural equation modeling (SEM) was employed to develop an integrated conceptual framework illustrating the relationships between environmental variables and wildlife adaptive responses. Additionally, the study applied the Theory of Urban Ecology and the Niche Theory to underpin the conceptual model, ensuring that it is grounded in established ecological and behavioral theories. The expected findings will characterize key adaptive behaviors such as altered foraging patterns, changes in activity periods, and modified social structures, correlated with specific urban environmental variables. The analysis anticipates revealing how anthropogenic pressures, including dietary modifications and disturbance levels, influence adaptive strategies. The resultant conceptual framework is expected to depict a dynamic interaction between wildlife behaviors and urban environmental factors, facilitating better assessment and prediction of wildlife resilience in urban landscapes. This research advances theoretical understanding by integrating behavioral ecology with urban environmental variables into a holistic interpretive model. Practically, it provides urban planners, conservationists, and policymakers with a validated tool for assessing wildlife adaptation, thereby informing targeted management interventions. The study’s main conclusion emphasizes that adaptive strategies are multifaceted and context-dependent, requiring nuanced evaluation frameworks. Recommendations include incorporating the framework into urban planning policies to foster coexistence, and further research should test its applicability across different ecological zones and species assemblages to enhance its generalizability and robustness. This study, therefore, makes a significant contribution to advancing urban ecology theory and the practical management of wildlife in rapidly urbanizing landscapes.