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Indicator Assessment

Forest fire danger

Indicator Assessment
Prod-ID: IND-185-en
  Also known as: CLIM 035
Published 08 Sep 2008 Last modified 11 May 2021
5 min read
This is an old version, kept for reference only.

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  • In a warmer climate, more severe fire weather is expected and, as a consequence, more area burned, more ignitions and longer fire seasons.
  • Climate change will increase the fire potential during summer months, especially in southern and central Europe.
  • The period during which fire danger exists will become longer as a result of climate change, with a probable increase in the frequency of extreme fire danger days in spring and autumn.

Update planned for November 2012

Average annual changes in fire danger level 1958-2006

Note: Based on use of Seasonal Severity Rating (SSR)

Data source:

Camia, A.; Amatulli G.; San-Miguel-Ayanz, J., 2008. Past and future trends of forest fire danger in Europe. EUR Technical Report (EUR 23124).

Modelled three-monthly fire danger levels in Europe for 1961-1990 and 2071-2100 and change between these periods

Note: Based on the IPCC SRES high emissions A2 scenario and the HIRAM model

Data source:

Camia, A.; Amatulli G.; San-Miguel-Ayanz, J., 2008. Past and future trends of forest fire danger in Europe. EUR Technical Report (EUR 23124).

Past trends

Fire risk depends on many factors of a different nature that change over time (e.g. weather, fuel load, fuel type and condition, forest management practices, socio-economic context). Historic fire series can be used to support statements on trends but, unfortunately, long and consistent time series of fire events are rarely available in Europe. In addition, by looking at the historic fire series alone, it is difficult to get a clear picture and recognize the effect of climate on fire potential. In contrast, meteorological fire danger indices, which are designed to rate the component of fire risk that depends on weather conditions, can be usefully employed to analyse fire trends in a consistent way over longer periods. These indices, normally applied on a daily basis, can be summarised on a seasonal basis to rate the overall fire potential of a given year (seasonal fire severity) due to meteorological conditions. The index of Seasonal Severity Rating (SSR) has been derived from daily values of Van Wagner's Fire Weather Index (FWI), Van Wagner (1987), the fire danger assessment method most widely applied throughout the world (San Miguel-Ayanz et al., 2003). Results of a recent study on SSR development are shown in Figure 1.
The average trend for 1958-2006 was computed for all the grid cells, but it was statistically significant for only 21 % of the cases (15 % positive and 6 % negative), which appear to be concentrated in specific geographical areas.

Projections

Projections were derived for the IPCC SRES scenario A2, processing data from the PRUDENCE data archive, namely the daily-high resolution data (12 km) from the HIRHAM model run by DMI, for the time periods 1960-1990 (control) and 2070-2100 (projections) (see Figure 2). In agreement with a similar assessment performed for North America (Flannigan et al., 2005), the results for Europe confirm a significant increase of fire potential, an enlargement of the fire-prone area and a lengthening of the fire season.

Supporting information

Indicator definition

  • Average annual changes in fire danger level 1958-2006
  • Modelled three-monthly fire danger levels in Europe for 1961-1990 and 2071-2100 and change between these periods

Units

http://www.eea.europa.eu/publications/eea_report_2008_4/pp111-148CC2008_ch5-7to9_Terrestrial_ecosystems_soil_and_agriculture.pdf


 

Policy context and targets

Context description

No context has been specified

Targets

No targets have been specified

Related policy documents

No related policy documents have been specified

 

Uncertainties

Methodology uncertainty

http://www.eea.europa.eu/publications/eea_report_2008_4/pp193-207CC2008_ch8_Data_gaps.pdf

Data sets uncertainty

http://www.eea.europa.eu/publications/eea_report_2008_4/pp193-207CC2008_ch8_Data_gaps.pdf

Rationale uncertainty

No uncertainty has been specified

Data sources

  • EFFIS data
    provided by European Forest Fire Information System (EFFIS)

Other info

DPSIR: Impact
Typology: Descriptive indicator (Type A - What is happening to the environment and to humans?)
Indicator codes
  • CLIM 035
EEA Contact Info

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Geographic coverage

Temporal coverage

Dates

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