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<p>The conservation of urban biodiversity increasingly requires the identification and management of potential habitat beyond formally protected areas. This study examines spatial disparities between expert-based ecological health assessments and citizen perceptions to inform the development of more inclusive and socially acceptable urban biodiversity management strategies. The research was conducted in three stages: (1) developing a health assessment framework informed by expert consensus, (2) collecting citizen survey data on spaces perceived as healthy wildlife habitats (<i>n</i> = 9950), and (3) performing spatial and statistical comparative analyses in Suwon, South Korea. The expert-based framework comprised twelve indicators encompassing habitat and food-web dimensions, with the analytic hierarchy process identifying habitat size and species diversity as critical determinants of ecological health. In contrast, citizen responses frequently identified urban spaces with low expert-based ecological ratings, such as roadside green buffers, artificial grasslands, and vacant lands, as healthy habitats. Statistical analyses revealed significant discrepancies between expert and citizen assessments (<i>p</i> &lt; 0.001), suggesting that citizen perceptions are influenced more by factors like accessibility, visual appeal, and familiarity than by ecological integrity. The proposed indicator-based framework is transferable to other cities but requires context-specific calibration depending on the type, availability, and spatial resolution of baseline datasets (e.g., biotope maps and species observation records). Although citizen responses were received for only about 3.0% of biotopes, this study highlights the practical potential of integrating expert knowledge with participatory perception data and provides an empirical foundation for advancing urban biodiversity governance that aligns ecological soundness with social acceptance.</p>

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Identifying spatial gaps in the estimated space for healthy biodiversity between expert-based indicators and citizen perceptions

  • 期刊论文

  • 发表日期：

    2026年6月2日

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  • Suryeon Kim,
  • Wonkyong Song,
  • Jaeyeon Choi

摘要

The conservation of urban biodiversity increasingly requires the identification and management of potential habitat beyond formally protected areas. This study examines spatial disparities between expert-based ecological health assessments and citizen perceptions to inform the development of more inclusive and socially acceptable urban biodiversity management strategies. The research was conducted in three stages: (1) developing a health assessment framework informed by expert consensus, (2) collecting citizen survey data on spaces perceived as healthy wildlife habitats (n = 9950), and (3) performing spatial and statistical comparative analyses in Suwon, South Korea. The expert-based framework comprised twelve indicators encompassing habitat and food-web dimensions, with the analytic hierarchy process identifying habitat size and species diversity as critical determinants of ecological health. In contrast, citizen responses frequently identified urban spaces with low expert-based ecological ratings, such as roadside green buffers, artificial grasslands, and vacant lands, as healthy habitats. Statistical analyses revealed significant discrepancies between expert and citizen assessments (p < 0.001), suggesting that citizen perceptions are influenced more by factors like accessibility, visual appeal, and familiarity than by ecological integrity. The proposed indicator-based framework is transferable to other cities but requires context-specific calibration depending on the type, availability, and spatial resolution of baseline datasets (e.g., biotope maps and species observation records). Although citizen responses were received for only about 3.0% of biotopes, this study highlights the practical potential of integrating expert knowledge with participatory perception data and provides an empirical foundation for advancing urban biodiversity governance that aligns ecological soundness with social acceptance.