Abstract
Background and objective: Rapid urbanization has led to habitat degradation and fragmentation in urban ecosystems, negatively impacting biodiversity. Various natural spaces and green areas, particularly urban biotopes, are essential to foster an environment for diverse species within urban areas. The increase in biotope grades is a crucial factor in enhancing biodiversity and expanding wildlife habitats in urban areas, thereby improving the overall health and sustainability of urban ecosystems. This study focuses on environmentally sensitive bird species, applying scenarios of biotope grade elevation to derive efficient methods for improving biotope grades. The goal is to support projects and policy decisions to increase urban biodiversity and sustain ecosystems within the city.Methods: The analysis model employed the MaxEnt species distribution model, and 11 environmental variables tailored to bird characteristics were considered. Additionally, four scenarios for upward adjustments in biotope grades were examined: (1) current biotope grades, (2) upgrading second-grade areas to first-grade, (3) upgrading third-grade areas to second-grade, and (4) upgrading second and third-grade areas to first-grade. The study aimed to derive the efficiency of potential habitats in response to biotope grade increases under each scenario.Results: The results of the biotope grade upward scenarios showed an increase in efficiency of 81% for Scenario(2), 38.6% for Scenario (3), and 54.6% for Scenario (4). This reveals the efficiency of potential habitat expansion for urban birds with improved biotope grades. The findings underscore the significant role of biotope grade enhancement in securing bird habitats within the city.Conclusion: Focusing on birds in Seoul, this study concluded that higher biotope ratings significantly increase potential habitats. Limitations of the study include the omission of specific bird species when considering environmental variables and the lack of reflection of habitat characteristics like meteorological factors. Future research aims to develop a more in-depth and accurate model for evaluating the efficiency of biotope rating change scenarios.
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