Assessment of fire selectivity in relation to land cover and topography: a comparison between Southern European countries
Sandra Oliveira A D , Francisco Moreira B , Roberto Boca C , Jesús San-Miguel-Ayanz C and José M. C. Pereira A
+ Author Affiliations
- Author Affiliations
A School of Agriculture, Department of Natural Resources, Environment and Land, Technical University of Lisbon, Tapada da Ajuda, PT-1349-017 Lisbon, Portugal.
B School of Agriculture, Centre of Applied Ecology, ‘Prof Baeta Neves’ Research Department, Technical University of Lisbon, Tapada da Ajuda, PT-1349-017 Lisbon, Portugal.
C European Commission - Joint Research Centre, Institute for Environment and Sustainability, Forest Resources and Climate Unit, Via E. Fermi 2749, I-21027 Ispra (VA), Italy.
D Corresponding author. Email: sisoliveira@gmail.com
International Journal of Wildland Fire 23(5) 620-630 https://doi.org/10.1071/WF12053
Submitted: 31 March 2012 Accepted: 27 November 2012 Published: 8 March 2013
Abstract
Land cover distribution is one of the factors that influence fire behaviour and its consequences in the landscape. The relation between land cover type and fire was investigated at a broad scale, in order to analyse land cover differences in fire proneness. The selection ratio for nine different land cover categories was calculated for the fire perimeters mapped in Southern Europe between 2000 and 2008. The results obtained were then compared per country and region. The fire proneness of topographic classes and its potential association with land cover types were also assessed. At a broad scale, shrublands and grasslands were the most preferred by fire, whereas artificial surfaces and agricultural areas were less fire prone. Forests showed intermediate values of selection ratio. Principal components and cluster analysis identified three regions with significant differences among them: the Mediterranean area, the Balkans and Turkey–Cyprus. Slopes >25% and with a north aspect were also less susceptible to burning. The identification of common land cover and topographic characteristics allows for the application of common management strategies in Southern Europe, coupled with particular measures adjusted to the conditions that are country- and region-specific.
Additional keywords: burnt areas, fire proneness, selection ratio.
References
Bajocco S, Ricotta C (2008) Evidence of selective burning in Sardinia (Italy): which land-cover classes do wildfires prefer? Landscape Ecology 23, 241–248.| Evidence of selective burning in Sardinia (Italy): which land-cover classes do wildfires prefer?Crossref | GoogleScholarGoogle Scholar |
Bond WJ, Keeley JE (2005) Fire as a global ‘herbivore’: the ecology and evolution of flammable ecosystems. Trends in Ecology and Evolution 20, 387–394.
| Fire as a global ‘herbivore’: the ecology and evolution of flammable ecosystems.Crossref | GoogleScholarGoogle Scholar |
Cardille JA, Ventura SJ (2001) Occurrence of wildfire in the northern Great Lakes Region: effects of land cover and land ownership assessed at multiple scales. International Journal of Wildland Fire 10, 145–154.
| Occurrence of wildfire in the northern Great Lakes Region: effects of land cover and land ownership assessed at multiple scales.Crossref | GoogleScholarGoogle Scholar |
Carmo M, Moreira F, Casimiro P, Vaz P (2011) Land use and topography influences on wildfire occurrence in northern Portugal. Landscape and Urban Planning 100, 169–176.
| Land use and topography influences on wildfire occurrence in northern Portugal.Crossref | GoogleScholarGoogle Scholar |
Conedera M, Torriani D, Neff C, Ricotta C, Bajocco S, Pezzatti GB (2011) Using Monte Carlo simulations to estimate relative fire ignition danger in a low-to-medium fire-prone region. Forest Ecology and Management 261, 2179–2187.
| Using Monte Carlo simulations to estimate relative fire ignition danger in a low-to-medium fire-prone region.Crossref | GoogleScholarGoogle Scholar |
Cumming SG (2001) Forest type and wildfire in the Alberta boreal mixedwood: what do fires burn? Ecological Applications 11, 97–110.
| Forest type and wildfire in the Alberta boreal mixedwood: what do fires burn?Crossref | GoogleScholarGoogle Scholar |
EC (1994) CORINE Land Cover technical guide. European Commission, EUR 12585 EN. (Office for Official Publications of the European Communities: Luxembourg)
EC (2010) Forest fires in Europe 2009. European Commission, EUR 24502 EN – Joint Research Centre, Institute for Environment and Sustainability, Report number 10,
EC (2011) Forest fires in Europe 2010. European Commission, EUR 24910 EN – Joint Research Centre, Institute for Environment and Sustainability, Report number 11,
EEA (1994) Corine Land Cover report. (European Environmental Agency) Available at http://www.eea.europa.eu/publications/COR0-landcover [Verified 20 February 2013]
EEA (2002) Europe’s biodiversity: biogeographical regions and seas. European Environmental Agency, EEA report number 1/2002. (Copenhagen)
EEA (2006) European forest types. Categories and types for sustainable forest management reporting, European Environmental Agency EEA technical report number 9/2006. (Copenhagen)
EEA (2012) Biogeographical regions, Europe 2011. (European Environmental Agency) Available at http://www.eea.europa.eu/data-and-maps/data/biogeographical-regions-europe
EEA-ETC/TE (2002) CORINE Land Cover update: I&CLC2000 Project Technical Guidelines, 2002. (European Topic Centre on Terrestrial Environment: Barcelona, Spain)
Fernandes PM (2009) Combining forest structure data and fuel modelling to assess fire hazard in Portugal. Annals of Forest Science 66, 415
| Combining forest structure data and fuel modelling to assess fire hazard in Portugal.Crossref | GoogleScholarGoogle Scholar |
Jarvis A, Reuter HI, Nelson A, Guevara E (2008) Hole-filled seamless SRTM data V4. (International Centre for Tropical Agriculture (CIAT)) Available at http://srtm.csi.cgiar.org [Verified 1 January 2013]
Konstantinidis P, Tsiourlis G, Galatsidas S (2005) Effects of wildfire season on the resprouting of kermes oak (Quercus coccifera L.). Forest Ecology and Management 208, 15–27.
| Effects of wildfire season on the resprouting of kermes oak (Quercus coccifera L.).Crossref | GoogleScholarGoogle Scholar |
Legendre P, Legendre L (1998) ‘Numerical Ecology’ (Elsevier, Amsterdam)
Lloret F, Calvo E, Pons X, Diaz-Delgado R (2002) Wildfires and landscape patterns in the Eastern Iberian Peninsula. Landscape Ecology 17, 745–759.
| Wildfires and landscape patterns in the Eastern Iberian Peninsula.Crossref | GoogleScholarGoogle Scholar |
Manly BFJ, MacDonald LL, Thomas DL (1993) ‘Resource Selection by Animals: Statistical Design and Analysis for Field Studies.’ (Chapman and Hall: London)
Manly BFJ, McDonald LL, Thomas DL, McDonald TL, Erickson WP (2002) ‘Resource Selection by Animals: Statistical Design and Analysis for Field Studies’, 2nd edn. (Kluwer Academic Publishers: London)
McKenzie D, Miller C, Falk DA (2011) Toward a theory of landscape fire. Ecological Studies 213, 3–25.
| Toward a theory of landscape fire.Crossref | GoogleScholarGoogle Scholar |
Mermoz M, Kitzberger T, Veblen TT (2005) Landscape influences on occurrence and spread of wildfires in Patagonian forests and shrublands. Ecology 86, 2705–2715.
| Landscape influences on occurrence and spread of wildfires in Patagonian forests and shrublands.Crossref | GoogleScholarGoogle Scholar |
Moreira F, Rego FC, Ferreira PG (2001) Temporal (1958–1995) pattern of change in a cultural landscape of northwestern Portugal: implications for fire occurrence. Landscape Ecology 16, 557–567.
| Temporal (1958–1995) pattern of change in a cultural landscape of northwestern Portugal: implications for fire occurrence.Crossref | GoogleScholarGoogle Scholar |
Moreira F, Vaz P, Catry F, Silva JS (2009) Regional variations in wildfire susceptibility of land-cover types in Portugal: implications for landscape management to minimize fire hazard. International Journal of Wildland Fire 18, 563–574.
| Regional variations in wildfire susceptibility of land-cover types in Portugal: implications for landscape management to minimize fire hazard.Crossref | GoogleScholarGoogle Scholar |
Moreira F, Viedma O, Arianoutsou M, Curt T, Koutsias N, Rigolot E, Barbati A, Corona P, Vaz P, Xanthopoulos G, Mouillot F, Bilgili E (2011) Landscape – wildfire interactions in southern Europe: implications for landscape management. Journal of Environmental Management 92, 2389–2402.
| Landscape – wildfire interactions in southern Europe: implications for landscape management.Crossref | GoogleScholarGoogle Scholar |
Mouillot F, Ratte JP, Joffre R, Moreno JM, Rambal S (2003) Some determinants of the spatio-temporal fire cycle in a mediterranean landscape (Corsica, France). Landscape Ecology 18, 665–674.
| Some determinants of the spatio-temporal fire cycle in a mediterranean landscape (Corsica, France).Crossref | GoogleScholarGoogle Scholar |
Nunes MC (2004) A selectividade do fogo face ao coberto do solo e à topografia (Fire selectivity in relation to land cover and topography). PhD thesis, Cartography Center, Institute for Cientific and Tropical Investigation, Lisbon. [In Portuguese]
Nunes MC, Vasconcelos MJ, Pereira JMC, Dasgupta N, Alldredge RJ, Rego FJ (2005) Land cover type and fire in Portugal: do fires burn land cover selectively? Landscape Ecology 20, 661–673.
| Land cover type and fire in Portugal: do fires burn land cover selectively?Crossref | GoogleScholarGoogle Scholar |
Pezzatti GB, Bajocco S, Torriani D, Conedera M (2009) Selective burning of forest vegetation in Canton Ticino (southern Switzerland). Plant Biosystems 143, 609–620.
| Selective burning of forest vegetation in Canton Ticino (southern Switzerland).Crossref | GoogleScholarGoogle Scholar |
Pyne S, Andrews PL, Laven RD (1996) ‘Introduction to Wildland Fire.’ (Wiley: New York)
R Development Core Team (2010) R: a language and environment for statistical computing. (R Foundation for Statistical Computing: Vienna, Austria) Available at http://www.R-project.org/ [Verified 1 January 2013]
Reuter HI, Nelson A, Jarvis A (2007) An evaluation of void-filling interpolation methods for SRTM data. International Journal of Geographical Information Science 21, 983–1008.
| An evaluation of void-filling interpolation methods for SRTM data.Crossref | GoogleScholarGoogle Scholar |
Romero-Calcerrada R, Barrio-Parra F, Millington JDA, Novillo CJ (2010) Spatial modelling of socioeconomic data to understand patterns of human-caused wildfire ignition risk in the SW of Madrid, Central Spain. Ecological Modelling 221, 34–45.
| Spatial modelling of socioeconomic data to understand patterns of human-caused wildfire ignition risk in the SW of Madrid, Central Spain.Crossref | GoogleScholarGoogle Scholar |
Siegel S, Castellan NJ (1988) ‘Nonparametric Statistics for the Behavioral Sciences’ (McGraw-Hill, Inc.: New York)
Silva JS, Moreira F, Vaz P, Catry F, Godinho-Ferreira P (2009) Assessing the relative fire-proneness of different forest types in Portugal. Plant Biosystems 143, 597–608.
| Assessing the relative fire-proneness of different forest types in Portugal.Crossref | GoogleScholarGoogle Scholar |
Sokal RR, Rohlf FJ (1995) ‘Biometry: The Principles and Practice of Statistics in Biological Research’, 3rd edn. (W.H. Freeman: New York)
Viedma O (2008) The influence of topography and fire in controlling landscape composition and structure in Sierra de Gredos (Central Spain). Landscape Ecology 23, 657–672.
| The influence of topography and fire in controlling landscape composition and structure in Sierra de Gredos (Central Spain).Crossref | GoogleScholarGoogle Scholar |
Viedma O, Angeler DG, Moreno JM (2009) Landscape structural features control fire size in a Mediterranean forest area of central Spain. International Journal of Wildland Fire 18, 575–583.
| Landscape structural features control fire size in a Mediterranean forest area of central Spain.Crossref | GoogleScholarGoogle Scholar |
Viegas DX (1998) Forest fire propagation. Philosophical Transactions of the Royal Society of London. Series A, Mathematical and Physical Sciences 356, 2907–2928.
| Forest fire propagation.Crossref | GoogleScholarGoogle Scholar |
