Cross-country risk quantification of extreme wildfires in Mediterranean Europe.

Meier, Sarah; Strobl, Eric; Elliott, Robert J R; Kettridge, Nicholas (2023). Cross-country risk quantification of extreme wildfires in Mediterranean Europe. Risk analysis, 43(9), pp. 1745-1762. Wiley 10.1111/risa.14075

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We estimate the country-level risk of extreme wildfires defined by burned area (BA) for Mediterranean Europe and carry out a cross-country comparison. To this end, we avail of the European Forest Fire Information System (EFFIS) geospatial data from 2006 to 2019 to perform an extreme value analysis. More specifically, we apply a point process characterization of wildfire extremes using maximum likelihood estimation. By modeling covariates, we also evaluate potential trends and correlations with commonly known factors that drive or affect wildfire occurrence, such as the Fire Weather Index as a proxy for meteorological conditions, population density, land cover type, and seasonality. We find that the highest risk of extreme wildfires is in Portugal (PT), followed by Greece (GR), Spain (ES), and Italy (IT) with a 10-year BA return level of 50'338 ha, 33'242 ha, 25'165 ha, and 8'966 ha, respectively. Coupling our results with existing estimates of the monetary impact of large wildfires suggests expected losses of 162-439 million € (PT), 81-219 million € (ES), 41-290 million € (GR), and 18-78 million € (IT) for such 10-year return period events. SUMMARY: We model the risk of extreme wildfires for Italy, Greece, Portugal, and Spain in form of burned area return levels, compare them, and estimate expected losses.

Item Type:

Journal Article (Original Article)

Division/Institute:

03 Faculty of Business, Economics and Social Sciences > Department of Economics

UniBE Contributor:

Strobl, Eric Albert

Subjects:

300 Social sciences, sociology & anthropology > 330 Economics

ISSN:

1539-6924

Publisher:

Wiley

Language:

English

Submitter:

Pubmed Import

Date Deposited:

13 Dec 2022 13:55

Last Modified:

13 Sep 2023 00:11

Publisher DOI:

10.1111/risa.14075

PubMed ID:

36509545

Uncontrolled Keywords:

environmental economics environmental hazards extreme value statistics risk analysis wildfires

BORIS DOI:

10.48350/175774

URI:

https://boris.unibe.ch/id/eprint/175774

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