Abstract
The expansion of cities has increased the necessity of multidisciplinary strategies to reduce the impacts of urbanization on ecosystems. Here we present the Urban Biodiversity Suitability (UBS) Index, a spatially explicit tool that describes levels of environmental suitability for biodiversity based on several urbanistic and socioeconomic data through a wilderness mapping approach. Using a tropical metropolis as a case study (Belo Horizonte, Brazil), we applied a Multi-Criteria Analysis to produce and join four geospatial layers that we believe describe the main aspects of cities that modulate urban biodiversity distribution: human accessibility, soundscape, built artifacts and volume, and land cover. To assess the accuracy of the UBS Index, we used bird species richness, functional richness (FRic), and Rao’s Quadratic Entropy (RaoQ) based on data collected across several urban habitats (from streets to natural vegetation patches). We observed that as the suitability levels described by the UBS Index increases, higher bird species richness, FRic, and RaoQ values are also observed. Thus, quieter, less accessible urban regions, with few built artifacts, and with higher amounts of urban vegetation presented diverse bird communities. Those regions are distributed across the analyzed urban landscape, highlighting its spatial and environmental heterogeneity. The UBS Index is a simple tool that can be replicated in other cities across the globe to inform public policies for biodiversity conservation and environmental restoration in urban landscapes.
Graphical abstract
Highlights
We developed a spatially explicit Urban Biodiversity Suitability (UBS) Index.
The UBS Index is a multidisciplinary approach that joins several geospatial data.
The UBS Index efficiently described levels of urban bird community diversity.
The UBS Index can indicate urban areas with different levels of ecological integrity.
The UBS Index can guide public policies for a more sustainable urban development.
Similar content being viewed by others
Data Availability
All the data are in Supplementary Material.
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Acknowledgements
We thank all the Institutions and Companies that allowed us to conduct the fieldwork across Belo Horizonte: Belo Horizonte City Hall / Fundação de Parques, Fundação João Pinheiro, Fundação Benjamin Guimarães / Hospital da Baleia, Minas Tênis Clube, COMUPRA, CBTU-BH, Casa de Francisco, MHNJB/UFMG, COPASA, ASPRA, IRS, and IEF (license: 025/2020). TB received scholarships from the Coordination of Superior Level Staff Improvement (CAPES process: 88887.364396/2019-00) and thanks to Fundo Brasileiro para a Biodiversidade (FUNBIO / Humanize) and Idea Wild for their support. JCP thanks to São Paulo Research Foundation (FAPESP Grant 2018/00107-3). ACMM thanks to National Council for Scientific and Technological Development (CNPq process: 401066/2016-9) and Minas Gerais Research Foundation (FAPEMIG PPM-00368-18) for their financial support, and to the Company of Informatics and Information of the Municipality of Belo Horizonte (PRODABEL) for its support. MR is granted by CNPq (research scholarship).
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T.B. wrote the main manuscript; prepared Figs. 1, 2, 3, 4, 5 and 6 and the graphical abstract; conducted fieldwork and developed the methodology. J.C.P. developed the methodology and supervision. A.C.M.M. developed the methodology; prepared Figs. 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12 and 13 in the Supplementary Material and performed the statistical analysis using GIS software. D.P. performed the statistical analysis and prepared the graphs in Fig. 5. L.S. performed the statistical analysis using GIS software. M.R. developed the methodology and supervision. All authors made substantial contributions to the intellectual content, interpretation of the literature review, and editing/review of the manuscript.
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Bhakti, T., Pena, J.C., Moura, A.C.M. et al. Urban biodiversity suitability index: decoding the relationships between cities and birds. Urban Ecosyst 27, 305–319 (2024). https://doi.org/10.1007/s11252-023-01446-5
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DOI: https://doi.org/10.1007/s11252-023-01446-5