Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/263909 
Year of Publication: 
2022
Series/Report no.: 
Working Paper No. 021.2022
Publisher: 
Fondazione Eni Enrico Mattei (FEEM), Milano
Abstract: 
Climate change impacts in coastal areas (CA) have exposed coastal ecosystems to unprecedented conditions. System dynamic modelling (SD) has been used as a powerful tool to improve climate change adaptation (CCA) strategies. However, until now there are no review papers that summarize how academic literature that employs SD modelling has addressed CCA in CA. Hence, the main objective of this study is to provide an overview of the state of the art of this field. A systematic literature review was chosen as the main method of analysis, which was complemented with a bibliometric analysis and a categorization of the main contents of the papers selected. Our results suggest that the literature is clustered in three groups: physical or social impacts, water and agriculture management, as well as ecosystem services. Following the classification of key representative risks (KRK) of the IPCC, some topics have been addressed more than others. Most papers focus on Disaster Risk Reduction (DRR) compared to adaptation to slow onset hazards. Besides, research in developing countries remains scarce, except for the case of Vietnam. One group of models seem to be in an advanced stage or abstract enough to be applied in other areas, whereas another group is better suited for local modelling. Quantitative SD modelling has been preferred compared to qualitative or mixed approaches. Finally, Stella and Vensim seem to be the most popular platforms to run simulations.
Subjects: 
Climate change adaptation
Coastal areas
System dynamics modelling
Environmental modelling
Literature review
JEL: 
C61
C63
Q54
Document Type: 
Working Paper

Files in This Item:
File
Size





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.