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7th Workshop on Forest Fire Management - EARSeL, European ...

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First steps towards a l<strong>on</strong>g term forest fire risk of Europe 81<br />

Martinez et al. (2009) applied the historical values of the cumulative number<br />

of fires divided by the forest area of municipalities. Alternatively,<br />

records of fire events with coordinates can be used to analyse point locati<strong>on</strong><br />

patterns (Catry et al., 2007) and apply a weighted probability to the<br />

distributi<strong>on</strong> of the points for which there are no coordinates.<br />

For the purpose of this study, the distributi<strong>on</strong> of igniti<strong>on</strong> points with coordinates<br />

in Portugal, the country with the l<strong>on</strong>gest series of fire data, was<br />

analysed in view of the land cover. Between 2001 and 2007, Portugal<br />

recorded 133411 IP. The land cover of each IP was retrieved based <strong>on</strong><br />

Corine Land Cover (CLC) 2000 (25 m). Additi<strong>on</strong>ally, it was also obtained the<br />

corresp<strong>on</strong>dent category of the Pan-<strong>European</strong> <strong>Forest</strong>/N<strong>on</strong>-<strong>Forest</strong> Map 2000<br />

(25 m) (Pekkarinen et al., 2009).<br />

C<strong>on</strong>sidering Corine Land Cover data, it was found the following:<br />

• The number of igniti<strong>on</strong> points in each CLC category does not corresp<strong>on</strong>d<br />

to the surface area occupied by each land cover in the country. Chisquare<br />

test was applied in order to verify if there was any difference<br />

between the observed and the expected number of igniti<strong>on</strong> points per<br />

land cover class (χ2 = 895.006, df=40, p90% than<br />

expected) and Agricultural Areas (heterogeneous agricultural areas -<br />

>74% than expected).<br />

• CLC classes were assembled into larger groups based <strong>on</strong> the fire domain<br />

defined in EFFIS. IP density was calculated based <strong>on</strong> the number of<br />

points per km2 in each fire domain group. Artificial surfaces show the<br />

higher density, followed by agriculture (Fig. 1).<br />

Figure 1 - Density of igniti<strong>on</strong> points per land use group.

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