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Modeling place-based nature-based solutions to promote urban carbon neutrality
Massachusetts Institute of Technology, Cambridge, MA, USA; University of Illinois at Urbana-Champaign, Champaign, IL, USA.
Shanghai Jiao Tong University, China.ORCID iD: 0000-0002-0709-632X
Stockholm University.
University of Gävle, Faculty of Engineering and Sustainable Development, Department of Building Engineering, Energy Systems and Sustainability Science, Environmental Science. Stockholm Resilience Centre, Stockholm University, Stockholm, Sweden.ORCID iD: 0000-0003-2637-2024
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2023 (English)In: Ambio, ISSN 0044-7447, E-ISSN 1654-7209, Vol. 52, p. 1297-1313Article in journal (Refereed) Published
Abstract [en]

Nature-based solutions (NbS) are recognized as widely available and cost-effective mechanisms for sequestering carbon and offsetting carbon emissions. Realistic NbS implementations for carbon neutrality need to be effective at the global level and also appropriate for the socio-economic and physical conditions prevailing at the local level. This paper presents a framework that can help stakeholders identify demands, locations, and types of NbS interventions that could maximize NbS benefits at the local scale. Key processes in the framework include (1) interpolating carbon emissions data at larger spatial scales to high-resolution cells, using land use and socio-economic data; (2) assessing NbS effects on carbon reduction and their location-related suitability, through qualitative literature review, and (3) spatially allocating and coupling multiple NbS interventions to land use cells. The system was tested in Stockholm, Sweden. The findings show that the urban center should be allocated with combinations of improving access to green spaces and streetscapes, while the rural and suburban areas should prioritize preserving and utilizing natural areas. Our proposed method framework can help planners better select target locations for intended risk/hazard-mitigating interventions.

Place, publisher, year, edition, pages
Springer , 2023. Vol. 52, p. 1297-1313
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Environmental Sciences
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URN: urn:nbn:se:hig:diva-41798DOI: 10.1007/s13280-023-01872-xISI: 000987957600002PubMedID: 37184623Scopus ID: 2-s2.0-85159373547OAI: oai:DiVA.org:hig-41798DiVA, id: diva2:1758067
Funder
Swedish Research Council Formas, Formas Grant 2021-00293Swedish Research Council Formas, 2021-00416Mistra - The Swedish Foundation for Strategic Environmental Research, DIA 2019/28KTH Royal Institute of TechnologyAvailable from: 2023-05-22 Created: 2023-05-22 Last updated: 2023-06-16Bibliographically approved

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Barthel, Stephan

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