A social-ecological-technological systems framework for urban ecosystem services

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McPhearson, T.; Cook, E.M.; Berbés-Blázquez, M.; Cheng, C.; Grimm, N.B. et al.: A social-ecological-technological systems framework for urban ecosystem services. In: One Earth 5 (2022), Nr. 5, S. 505-518. DOI: https://doi.org/10.1016/j.oneear.2022.04.007

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To cite the version in the repository, please use this identifier: https://doi.org/10.15488/15537

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Sum total of downloads: 23




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Abstract: 
As rates of urbanization and climatic change soar, decision-makers are increasingly challenged to provide innovative solutions that simultaneously address climate-change impacts and risks and inclusively ensure quality of life for urban residents. Cities have turned to nature-based solutions to help address these challenges. Nature-based solutions, through the provision of ecosystem services, can yield numerous benefits for people and address multiple challenges simultaneously. Yet, efforts to mainstream nature-based solutions are impaired by the complexity of the interacting social, ecological, and technological dimensions of urban systems. This complexity must be understood and managed to ensure ecosystem-service provisioning is effective, equitable, and resilient. Here, we provide a social-ecological-technological system (SETS) framework that builds on decades of urban ecosystem services research to better understand four core challenges associated with urban nature-based solutions: multi-functionality, systemic valuation, scale mismatch of ecosystem services, and inequity and injustice. The framework illustrates the importance of coordinating natural, technological, and socio-economic systems when designing, planning, and managing urban nature-based solutions to enable optimal social-ecological outcomes.
License of this version: CC BY-NC-ND 4.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2022
Appears in Collections:Naturwissenschaftliche Fakultät

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pos. country downloads
total perc.
1 image of flag of Germany Germany 13 56.52%
2 image of flag of United States United States 4 17.39%
3 image of flag of China China 3 13.04%
4 image of flag of Indonesia Indonesia 2 8.70%
5 image of flag of Russian Federation Russian Federation 1 4.35%

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