Linking species distributions and urban governance through social ecological fit in blue green infrastructure
Abstract Blue-Green Infrastructure (BGI) integrates natural elements into urban areas, supporting biodiversity and delivering multiple co-benefits. Its successful implementation, however, requires data-driven ecological planning and coordinated governance, jointly conceived of as social-ecological fit. We assess social-ecological fit using a spatial network framework that combines habitat suitability and connectivity models applied to declining amphibians, with BGI and social network analysis based on multi-sector actor surveys, in Zürich City, a mid-sized European city. Using social-ecological networks (SENs), we identify areas of fit and misfit between BGI and actors. Results show that collaboration among actors is influenced by social-ecological fit, particularly in BGI overlapping with amphibian biodiversity hotspots. However, fit remains limited and uneven: high-value natural and artificial connector habitats, such as natural springs and cemeteries, are often overlooked. The environmental sector serves as a network bridge, while others remain peripheral despite their environmental influence. Our findings highlight the need for cross-sectoral collaboration to enhance biodiversity in cities.
Authors
- Francine van den Brandeler (ORCID: https://orcid.org/0000-0001-8898-7986)
- Manuel Fischer (ORCID: https://orcid.org/0000-0003-3065-0891)
- Giulia Donati (ORCID: https://orcid.org/0000-0002-5954-3283)
- Janine Bolliger (ORCID: https://orcid.org/0000-0001-8145-559X)
- Jessica Casanova
- Jahmaira Archbold
Institutions
- University of Bern (CH)
- Georgetown University (US)
- Swiss Federal Institute for Forest, Snow and Landscape Research (CH)
- Swiss Federal Institute of Aquatic Science and Technology (CH)
Publication Details
- Journal
- npj Urban Sustainability
- Published
- 2026-07-02
- DOI
- https://doi.org/10.1038/s42949-026-00426-w
- Primary Topic
- Wildlife-Road Interactions and Conservation
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Eidgenössische Technische Hochschule Zürich