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Titel |
The history and characteristics of the 1980–2005 Portuguese rural fire database |
VerfasserIn |
M. G. Pereira, B. D. Malamud, R. M. Trigo, P. I. Alves |
Medientyp |
Artikel
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Sprache |
Englisch
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ISSN |
1561-8633
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Digitales Dokument |
URL |
Erschienen |
In: Natural Hazards and Earth System Science ; 11, no. 12 ; Nr. 11, no. 12 (2011-12-21), S.3343-3358 |
Datensatznummer |
250009838
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Publikation (Nr.) |
copernicus.org/nhess-11-3343-2011.pdf |
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Zusammenfassung |
We focus here on a mainland Continental Portuguese Rural Fire Database
(PRFD) that includes 450 000 fires, the largest such database in Europe in
terms of total number of recorded fires in the 1980–2005 period. In this
work, we (a) list the most important factors for triggering and controlling
the fire regime in mainland Continental Portugal, (b) describe the dataset's
production, (c) discuss procedures adopted to identify and correct different
fire data inconsistencies, creating a modified PRFD which we use here and
make available as Supplement, (d) explore some basic temporal
and completeness properties of the data. We find that the dataset's minimum
measured burnt areas have changed with time between
AF = 0.1 ha (1980–1990), AF = 0.01 ha (1991–1992), and
AF = 0.001 ha (1992–2005), with varying degrees of completeness down to these values.
These changes in minimum area measured are responsible for greater numbers
of fires being recorded. A relatively small number of large fires in the
PRFD are responsible for the majority of the burnt area. For example, fires
with AF > 100 ha
represent about 1% of all fire records but 75% of total burnt area.
Finally, we consider for each Continental Portugal district and for the 26-yr
period, the total number of rural fires and area burnt in forests and
shrublands, each normalized by district areas. We find that the highest
numbers of fires per unit area are in highly populated districts, and that
the largest fraction of burnt area is in forested areas, coinciding with
large parcels of continuous forests (predominantly rural and moderately
urban areas). |
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