Nature-based Solutions as Building Blocks for coastal flood risk reduction: a model-based ecosystem service assessment DOI Creative Commons
Massimiliano Marino, Martin J. Baptist,

Ahmad I K Alkharoubi

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: April 9, 2025

Nature-based Solutions (NbS) are increasingly recognized as effective measures for mitigating flood risks and enhancing climate change adaptation. However, evaluating their efficacy in delivering risk reduction ecosystem service (FRR-ESS) is usually limited by reliance on qualitative, expert-based "quick-scan" scoring methods. While already challenging present-day evaluations, this limitation becomes even more significant when addressing future scenarios, introducing deep uncertainties the evaluation. The present study introduces a model-based framework to quantify FRR-ESS provided coastal NbS, which integrates assessments with quantitative results from an eco-hydro-morphodynamic numerical model. model enables comparative evaluation of individual combined effects NbS following Building Blocks approach. By integrating habitat map prediction evaluation, response storm scenarios (i.e. wave sea level rise) investigated. methodology applied Mediterranean lagoon Sicily (Italy), can be easily adapted diverse ecosystems. Our findings underscore role habitats reducing highlight importance physically-based modelling into This approach provides robust flexible tool policymakers stakeholders make informed decisions that support both ecological sustainability disaster reduction.

Language: Английский

Nature-based Solutions as Building Blocks for coastal flood risk reduction: a model-based ecosystem service assessment DOI Creative Commons
Massimiliano Marino, Martin J. Baptist,

Ahmad I K Alkharoubi

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: April 9, 2025

Nature-based Solutions (NbS) are increasingly recognized as effective measures for mitigating flood risks and enhancing climate change adaptation. However, evaluating their efficacy in delivering risk reduction ecosystem service (FRR-ESS) is usually limited by reliance on qualitative, expert-based "quick-scan" scoring methods. While already challenging present-day evaluations, this limitation becomes even more significant when addressing future scenarios, introducing deep uncertainties the evaluation. The present study introduces a model-based framework to quantify FRR-ESS provided coastal NbS, which integrates assessments with quantitative results from an eco-hydro-morphodynamic numerical model. model enables comparative evaluation of individual combined effects NbS following Building Blocks approach. By integrating habitat map prediction evaluation, response storm scenarios (i.e. wave sea level rise) investigated. methodology applied Mediterranean lagoon Sicily (Italy), can be easily adapted diverse ecosystems. Our findings underscore role habitats reducing highlight importance physically-based modelling into This approach provides robust flexible tool policymakers stakeholders make informed decisions that support both ecological sustainability disaster reduction.

Language: Английский

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