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International Journal of Wildland Fire International Journal of Wildland Fire Society
Journal of the International Association of Wildland Fire
RESEARCH ARTICLE

Factors influencing the pattern of fire severities in a large wildfire under extreme meteorological conditions in the Mediterranean basin

Imma Oliveras A B , Marc Gracia A , Gerard Moré A and Javier Retana A
+ Author Affiliations
- Author Affiliations

A CREAF (Centre for Ecological Research and Forestry Applications) and Unit of Ecology, Department of Animal and Plant Biology and Ecology, Autonomous University of Barcelona, E-08193 Bellaterra, Spain.

B Corresponding author. Email: imma.oliveras@gmail.com

International Journal of Wildland Fire 18(7) 755-764 https://doi.org/10.1071/WF08070
Submitted: 7 May 2008  Accepted: 23 December 2008   Published: 27 October 2009

Abstract

In Mediterranean ecosystems, large fires frequently burn under extreme meteorological conditions, but they are usually characterized by a spatial heterogeneity of burn severities. The way in which such mixed-severity fires are a result of fuels, topography and weather remains poorly understood. We computed fire severity of a large wildfire that occurred in Catalonia, Spain, as the difference between the post- and pre-fire Normalized Difference Vegetation Index (NDVI) values obtained through Landsat images. Fuel and topographic variables were derived from remote sensing, and fire behavior variables were obtained from an exhaustive reconstruction of the fire. Results showed that fire severity had a negative relationship with percentage of canopy cover, i.e. green surviving plots were mainly those with more forested conditions. Of the topographic variables, only aspect had a significant effect on fire severity, with higher values in southern than in northern slopes. Fire severity was higher in head than in flank and back fires. The interaction of these two variables was significant, with differences between southern and northern aspects being small for head fires, but increasing in flank and back fires. The role of these variables in determining the pattern of fire severities is of primary importance for interpreting the current landscapes and for establishing effective fire prevention and extinction policies.

Additional keywords: fire behavior, fuel, NDVI, topography, vegetation structure.


Acknowledgements

We thank J. Piñol for his critical and helpful comments on the research and the manuscript and A. Ribas and two anonymous reviewers for their useful comments on the manuscript. M. Miralles, M. Castellnou, M. López and S. Massagué from Bombers de la Generalitat de Catalunya provided useful comments based on experience in fighting that fire, GRAF supplied the weather and fire records, and Roberto Molowny-Horas computed water availability data. This paper was supported by the Ministerio de Educación y Ciencia operating Formación del Personal Universitario (FPU) grant to I. Oliveras, and project RTA04–015 from the National Research Institute and Food and Agrarian Technology (INIA).


References


Aber JD, Ollinger SV, Federer CA, Reich PB, Goulden ML, Kicklighter DW, Melillo JM , Lathrop RG (1995) Predicting the effects of climate change on water yield and forest production in the north-eastern United States. Climate Research  5, 207–222.
Crossref | GoogleScholarGoogle Scholar | Agee JK (1993) ‘Fire Ecology of Pacific North-West Forests.’ (Island Press: Washington, DC)

Agee JK , Skinner CN (2005) Basic principles of forest fuel reduction treatments. Forest Ecology and Management  211, 83–96.
Crossref | GoogleScholarGoogle Scholar | Albini FA (1976) Computer-based models of wildland fire behavior: a user’s manual. USDA Forest Service, Intermountain Forest and Range Experiment Station, General Technical Report INT-30. (Ogden, UT)

Albini FA, Latham DJ, Baughman RG (1982) Estimating upslope convective wind speeds for predicting wildland fire behavior. USDA Forest Service, Intermountain Forest and Range Experimental Station, General Technical Report INT-257. (Ogden, UT)

Alexander JD, Seavy NE, Ralph CJ , Hogoboom B (2006) Vegetation and topographical correlates of fire severity from two fires in the Klamath–Siskiyou region of Oregon and California. International Journal of Wildland Fire  15, 237–245.
Crossref | GoogleScholarGoogle Scholar | Allen RG, Pereira LS, Raes D, Smith M (1998) ‘Crop Evatranspiration – Guidelines for Computing Crop Water Requirements.’ (FAO: Rome)

Arnaldos J, Navalón X, Pastor E, Planas E, Zárate L (2004) ‘Manual de Ingeniería Básica para la Prevención y Extinción de Incendios Forestales.’ (Ediciones Mundi-Prensa: Barcelona)

Austin JM, Mackey BG , Van Niel KP (2003) Estimating forest biomass using satellite radar: an exploratory study in a temperate Australian eucalyptus forest. Forest Ecology and Management  176, 575–583.
Crossref | GoogleScholarGoogle Scholar | Christensen NL (1993) Fire regimes and ecosystems dynamics. In ‘Fire in the Environment: Ecological, Atmospheric and Climatic Importance of Vegetation Fires’. (Eds PJ Crutzen, JG Goldammer) pp. 233–244. (Wiley: New York)

Chuvieco E (2002) ‘Teledetección Ambiental. La Observación de la Tierra desde el Espacio.’ (Ariel Ciencia: Barcelona)

Cumming SG (2001) Forest type and wildfire in the Alberta boreal mixedwood: what do fires burn? Ecological Applications  11, 97–110.
Crossref | GoogleScholarGoogle Scholar | Espelta JM, Rodrigo A, Habrouk A, Meghelli N, Ordoñez JL, Retana J (2002) Land use changes, natural regeneration patterns and restoration practices after a large wildfire in NE Spain: challenges for fire ecology and landscape restoration. In ‘Fire and Biological Processes’. (Eds L Trabaud, R Prodon) pp. 315–324. (Backhuys Publishers: Leiden, the Netherlands)

Finney M (2001) Design of regular landscape fuel treatment patterns for modifying fire growth and behavior. Forest Science  47, 219–228.
IEFC (2000) ‘Inventari Ecològic i Forestal de Catalunya.’ (CREAF, Barcelona) Available at http://www.creaf.uab.cat/iefc [Verified 28 September 2009]

Jensen JR (2005). ‘Introductory Digital Image Processing. A Remote Sensing Perspective.’ 3rd edn. (Pearsons Prentice Hall: Upper Saddle River, NJ)

Keeley J (1999) Re-examining fire suppression impacts on brushland fire regimes. Science  284, 1829–1832.
Crossref | GoogleScholarGoogle Scholar | CAS | PubMed | Pons X (2004) ‘MiraMon. Geographic Information System and Remote Sensing Software.’ (Centre de Recerca Ecològica i Aplicacions Forestals, CREAF: Bellaterra, Spain)

Retana J, Espelta JM, Habrouk A, Ordóñez JL , Solà-Morales F (2002) Regeneration patterns of three Mediterranean pines and forest changes after a large wildfire in NE Spain. Ecoscience  9, 89–97.
Román-Cuesta RM (2002) Human and environmental factors influencing fire trends in different forest ecosystems. PhD dissertation, Autonomous University of Barcelona.

Rothermel RC (1972) A mathematical model for predicting fire spread in wildland fuels. USDA Forest Service, Intermountain Forest and Range Experimental Station, General Technical Report INT-115. (Ogden, UT)

Rothermel RC (1983) How to predict the spread and intensity of forest and range fires. USDA Forest Service, General Technical Report INT-143. (Ogden, UT)

Ruiz-Gallardo JR, Castaño S , Calera A (2004) Application of remote sensing and GIS to locate priority intervention areas after wildland fires in Mediterranean systems: a case study from south-eastern Spain. International Journal of Wildland Fire  13, 241–252.
Crossref | GoogleScholarGoogle Scholar | Viegas DX (1998) Weather, fuel status and fire occurrence: predicting large fires. In ‘Large Forest Fires’. (Ed. JM Moreno) pp. 31–48. (Backhuys Publishers: Leiden, the Netherlands)

Weatherspoon CP , Skinner CN (1995) An assessment of factors associated with damage to tree crowns from the 1987 wildfires in northern California. Forest Science  41, 430–451.