Building Climate Resilience in Coastal City Living Labs Using Ecosystem-Based Adaptation: A Systematic Review

SCORE project partners, ATU and ENT have published a paper in the Sustainability journal. It is available in open access.

Abstract

Climate change leads to an unequivocal rise in the intensity and frequency of natural disasters. This necessitates mainstreaming of climate adaptation strategies in the global movement on climate action. Ecosystem-Based Adaptation (EBA) has become popular as an effective means of climate adaptation, which can be resilient and flexible compared to hard engineering-based measures. However, ecosystem-based approaches in disaster risk reduction still remain under-researched despite their growing popularity. This study delves into the utility of EBA in the context of the living lab, using a PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) based Systematic Literature Review. A living lab (LL) is a participatory tool invented to foster innovation through real-life testing environments, such as individual cities. This study focuses on European coastal regions, as these are both highly populated and vulnerable to climate change impacts such as sea-level rise, storms, flooding and erosion. This study identified multiple synergies between the EBA concepts, living lab and disaster-risk reduction and concludes that EBA schemes can be highly effective in the living lab set-up. It also demonstrates that increased stakeholder engagement and the consideration of socio-economic co-benefits as part of the EBA-LL model can lead to successful disaster risk reduction.

References

Title: Building Climate Resilience in Coastal City Living Labs Using Ecosystem-Based Adaptation: A Systematic Review

Authors: Ananya Tiwari, Luís Campos Rodrigues, Frances Lucy, & Salem Gharbia

Cite as: Tiwari, A.; Rodrigues, L.C.; Lucy, F.E.; Gharbia, S. Building Climate Resilience in Coastal City Living Labs Using Ecosystem-Based Adaptation: A Systematic Review. Sustainability 2022, 14, 10863. https://doi.org/10.3390/su141710863

 

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