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Application of the Socio-Ecological System Framework to Forest Fire Risk Management: A Systematic Literature Review
| Content Provider | MDPI |
|---|---|
| Author | Vigna, Ingrid Besana, Angelo Comino, Elena Pezzoli, Alessandro |
| Copyright Year | 2021 |
| Description | Although increasing concern about climate change has raised awareness of the fundamental role of forest ecosystems, forests are threatened by human-induced impacts worldwide. Among them, wildfire risk is clearly the result of the interaction between human activities, ecological domains, and climate. However, a clear understanding of these interactions is still needed both at the global and local levels. Numerous studies have proven the validity of the socioecological system (SES) approach in addressing this kind of interdisciplinary issue. Therefore, a systematic review of the existing literature on the application of SES frameworks to forest ecosystems is carried out, with a specific focus on wildfire risk management. The results demonstrate the existence of different methodological approaches that can be grouped into seven main categories, which range from qualitative analysis to quantitative spatially explicit investigations. The strengths and limitations of the approaches are discussed, with a specific reference to the geographical setting of the works. The research suggests the importance of local community involvement and local knowledge consideration in wildfire risk management. This review provides a starting point for future research on forest SES and a supporting tool for the development of a sustainable wildfire risk adaptation and mitigation strategy. |
| Starting Page | 2121 |
| e-ISSN | 20711050 |
| DOI | 10.3390/su13042121 |
| Journal | Sustainability |
| Issue Number | 4 |
| Volume Number | 13 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2021-02-17 |
| Access Restriction | Open |
| Subject Keyword | Sustainability Water Science and Technology Socio-ecological System Wildfire Risk Spatial System Modelling Participatory Modelling Traditional Knowledge Agent-based Model |
| Content Type | Text |
| Resource Type | Article |
