Human-caused wildfire risk rating for prevention planning in Spain

Journal of Environmental Management

Volumn 90, Issue 2, 2009, Pages 1241-1252

  Martínez, Jesús ^a   Vega Garcia, Cristina ^b   Chuvieco, Emilio ^c  

^a INSTITUTO PIRENAICO DE ECOLOGÍA   (Spain)

^b UNIVERSITY OF LLEIDA   (Spain)

^c UNIVERSITY OF ALCALÁ   (Spain)

Author keywords

Fire causes; Fire risk assessment; Forest fires; Human factors; Logistic regression; Mediterranean; Spain

Indexed keywords

AGRICULTURAL LAND; FOREST FIRE; FRAGMENTATION; GIS; PLANNING METHOD; PREDICTION; PROBABILITY; REGRESSION ANALYSIS; RISK ASSESSMENT; SPATIAL DISTRIBUTION; WILDFIRE;

AGRICULTURAL LAND; ARTICLE; EXPLORATORY RESEARCH; FIRE PROTECTION; FOREST FRAGMENTATION; FOREST MANAGEMENT; GEOGRAPHIC INFORMATION SYSTEM; HUMAN FACTORS RESEARCH; LANDSCAPE; LOGISTIC REGRESSION ANALYSIS; PREDICTION; PROBABILITY; RISK ASSESSMENT; SPAIN;

BALEARIC ISLANDS; EURASIA; EUROPE; MEDITERRANEAN SEA; SOUTHERN EUROPE; SPAIN;

EID: 56249083510     PISSN: 03014797     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jenvman.2008.07.005     Document Type: Article

References (64)

1. Abhineet J., Ravan S.A., Singh R.K., Das K.K., and Roy P.S. Forest fire risk modelling using remote sensing and geographic information system. Current Science 70 (1996) 928-933
2. Agresti A. An Introduction to Categorical Data Analysis (1996), Wiley & Sons, New York
3. Alcázar J., Vega-García C., Grauet M., Pemán J., and Fernández A. Human risk and fire danger estimation through multicriteria evaluation methods for forest fire prevention in Barcelona, Spain. In: Viegas D.X. (Ed). III International Conference on Forest Fire Research - 14th Conference on Fire and Forest Meteorology (1998), Coimbra, ADAI, Portugal 2379-2387
4. Altobellis A.T. In: USDA Forest Service (Ed). A Survey of Rural Population Density and Forest Fire Occurrence in the South, 1956-1970. Report SO-294 (1983), Southern Forest Experimental Station, New Orleans
5. Ben-Akiva M., and Lerman S.R. Discrete Choice Analysis: Theory and Application to Travel Demand (1985), The MIT Press, Cambridge, Massachusetts
6. Bertrand A.L., and Baird A.W. In: USDA Forest Service (Ed). Incendiarims in Southern Forest: A Decade of Sociological Research. Southern Forest Experiment Station Bulletin No. 838 (1975), Social Science Research Center at Mississippi University
7. Calvo J.L., Pueyo A., and Jover J.M. Potenciales demográficos. Atlas Nacional de España, Sección IV, Grupo 14b (1992), MOPT-IGN, Madrid 23-24
8. Camia A., Marzano R., and Bovio G. Preliminary analysis of wildland urban interface prone areas in Italy. In: Viegas D.X. (Ed). IV International Conference on Forest Fire Research & 2002 Wildland Fire Safety Summit (2002), Coimbra, ADAI, Portugal (Cd-Rom, 9 pp.)
9. Cardille J.A., Ventura S.J., and Turner M.G. Environmental and social factors influencing wildfires in the Upper Midwest. United States Ecological Applications 11 (2001) 111-127
10. Comité de Lucha contra Incendios Forestales. CLIF. Libro Rojo de la Prevención Contra los Incendios Forestales (1997), ICONA, Madrid
11. Chuvieco E., Aguado I., and Dimitrakopoulos A. Conversion of fuel moisture content values to ignition potential for integrated fire danger assessment. Canadian Journal of Forest Research 34 11 (2004) 2284-2293
12. Chuvieco E., Allgöwer B., and Salas F.J. Integration of physical and human factors in fire danger assessment. In: Chuvieco E. (Ed). Wildland Fire Danger Estimation and MappingThe Role of Remote Sensing Data (2003), World Scientific Publishing, Singapore 197-218
13. Chuvieco E., and Congalton R.G. Application of remote sensing and geographic information systems to forest fire hazard mapping. Remote Sensing of Environment 29 (1989) 147-159
14. Chuvieco E., Salas F.J., Carvacho L., and Rodríguez-Silva F. Integrated fire risk mapping. In: Chuvieco E. (Ed). Remote Sensing of Large Wildfires in the European Mediterranean (1999), Springer-Verlag, Berlin 61-84
15. Cunningham A.A., and Martell D.L. A stochastic model for the ocurrence of man-caused forest fires. Canadian Journal of Forest Research 3 (1973) 282-287
16. Cunningham A.A., and Martell D.L. The use of subjective probability assessments to predict forest fire occurrence. Canadian Journal of Forest Research 6 (1976) 348-356
17. Dagorne A., Duché Y., Castex J.M., and Ottavi J.Y. Protection des fôrets contre l'incendie & système d'information géographique. Application à la commune d'Auribeau-sur-Siagne (Alpes-Maritimes). Fôret Méditerranéenne XV (1994) 409-420
18. De la Riva J., Pérez-Cabello F., Lana-Renault N., and Koutsias N. Mapping wildfire occurrence at regional scale. Remote Sensing of the Environment 92 (2004) 288-294
19. (Dirección General de Conservación de la Naturaleza). DGCN. Los incendios forestales en España. Informe anual y decenal (2006), Ministerio de Medio Ambiente, Madrid
20. Donoghue L.R., and Main W.A. Some factors influencing wildfire occurrence and measurement of fire-prevention effectiveness. Journal of Environmental Management 20 (1985) 87-96
21. Doolittle, M.L., 1972. The dimensions of man-caused forest fire risk: a systematic assessment. Thesis published by College of Forest Resources, University of Washington, Seattle.
22. FAO. Fire Management - Global Assessment 2006. A Thematic Study Prepared in the Framework of the Global Forest Resources Assessment 2005 (2007), FAO, Rome
23. Farina A. Principles and Methods in Landscape Ecology (1998), Chapman & Hall Ltd, Cambridge, UK
24. Fotheringham A.S., Brunsdon C., and Charlton M. Geographically weighted regression. The Analysis of Spatially Varying Relationships (2002), John Wiley & Sons, West Sussex, UK
25. Genton M.G., Butry D.T., Gumpertz M.L., and Prestemon J.P. Spatio-temporal analysis of wildfire ignitions in the St Johns River Water Management District, Florida. International Journal of Wildland Fire 15 (2006) 87-97
26. Jamnick M.S., and Beckett D.R. A logit analysis of private woodlot owner's harvesting decisions in New Brunswick. Canadian Journal of Forest Research 18 (1988) 330-336
27. Jappiot, M., Sauer, S., Alibert, N., Philiber-Caillat, C., 2002. Wildland/urban interfaces and fire risk - an automatic mapping. In: Viegas, D.X. (Ed.), IV International Conference on Forest Fire Research & 2002 Wildland Fire Safety Summit. Coimbra, ADAI. Portugal.
28. Koutsias N., Martínez J., Chuvieco E., and Allgöwer B. Modelling Wildland Fire Occurrence in Southern Europe by Geographically Weighted Regression Approach. In: De la Riva J., Pérez-Cabello F., and Chuvieco E. (Eds). Fifth International Workshop on Remote Sensing and GIS Applications to Forest Fire Management: Fire Effects Assessment, Zaragoza (2005) 57-60
29. Lee B., Park P.S., and Chung J. Temporal and spatial characteristics of forest fires in South Korea between 1970 and 2003. International Journal of Wildland Fire 15 (2006) 389-396
30. Leone V., Koutsias N., Martínez J., Vega-García C., Allgöwer B., and Lovreglio R. The human factor in fire danger assessment. In: Chuvieco E. (Ed). Wildland Fire Danger Estimation and Mapping. The Role of Remote Sensing Data (2003), World Scientific Publishing, Singapore 143-196
31. Leone V., Lovreglio R., and Martínez J. Forest fires and anthropic influences: a study case (Gargano National Park, Italy). In: Viegas D.X. (Ed). IV International Conference on Forest Fire Research & 2002 Wildland Fire Safety Summit (2002), Coimbra, ADAI, Portugal
32. Leone V., and Vita F. Incendi boschivi e marginalitá economica: il caso della. Puglia Cellulosa e Carta 7/8 (1982) 41-57
33. Lloret F., Calvo E., Pons X., and Díaz-Delgado R. Wildfires and landscape patterns in the Eastern Iberian Peninsula. Landscape Ecology 8 (2002) 745-759
34. Lovreglio R., Leone V., Giaquinto P., and Notarnicola A. New tools for the analysis of fire causes and their motivations: the Delphi technique. Forest Ecology and Management 234S (2006) S18
35. Maddala G.S. The probit and logit models. In: Maddala G.S. (Ed). Introduction to Econometrics (1988), University of Florida, Macmillan Publishing Company, New York 272-291
36. Maingi J.K., and Henry M.C. Factors influencing wildfire occurrence and distribution in eastern Kentucky, USA. International Journal of Wildland Fire 16 (2007) 23-33
37. Martell D.L., Otukol S., and Stocks B.J. A logistic model for predicting daily people-caused forest fire occurrence in Ontario. Canadian Journal of Forest Research 17 (1987) 394-401
38. Menard S.W. Applied Logistic Regression Analysis (1995), Sage Publications, Thousand Oaks, California
39. Menard S.W. Six approaches to calculating standardized logistic regression coefficients. The American Statistician 58 (2004) 218-223
40. Mollicone D., Eva H.D., and Achard F. Human role in Russian wild fires. Nature 440 (2006) 436-437
41. Morehouse B., Christopherson G., Crimmins M., Orr B., Overpeck T., Swetnam T., and Yool S.R. Modeling interactions among wildland fire, climate and society in the context of climatic variability and change in the US Southwest. In: Ruth M., Donaghy K., and Kirshen P. (Eds). Regional Climate Change and Variability: Impacts and Responses (2006), Edward Elgar Publishing, Cheltenham, UK 58-78
42. Oliveira D.S., Batista A.C., Soares R.V., and Slutter C.R. Fire risk mapping for pine and eucalyptus stands in Três Barras, State of Santa Catarina, Brazil. In: Viegas D.X. (Ed). IV International Conference on Forest Fire Research & 2002 Wildland Fire Safety Summit (2002), Coimbra, ADAI, Portugal
43. Preisler H.K., Brillinger D.R., Burgan R.E., and Benoit J.W. Probability based models for estimation of wildfire risk. International Journal of Wildland Fire 13 (2004) 133-142
44. Prestemon J.P., and Butry D.T. Time to burn: modeling wildland arson as an autoregressive crime function. American Journal of Agricultural Economics 87 (2005) 756-770
45. Romero-Calcerrada R. Landscape change pattern and implications for fire incidence in the SPA Encinares del rio Arberche y Cofio (Central Spain). In: Viegas D.X. (Ed). IV International Conference on Forest Fire Research & 2002 Wildland Fire Safety Summit (2002), Coimbra, ADAI, Portugal
46. Ryan T.P. Modern Regression Methods (1997), John Wiley and Sons, New York
47. San Miguel-Ayanz J., Carlson J.D., Alexander M., Tolhurst K., Morgan G., Sneeuwjagt R., and Dudley M. Current methods to assess fire danger potential. In: Chuvieco E. (Ed). Wildland Fire Danger Estimation and MappingThe Role of Remote Sensing Data (2003), World Scientific Publishing, Singapore 21-61
48. Schmuck G., San-Miguel-Ayanz J., Barbosa P., Camia A., Kucera J., Libertà G., Schulte E., Colletti L., Martin H., and Toussaint M. Forest Fires in Europe 2005. Available at: (2006), European Commission. http://effis.jrc.it/documents/2006/ForestFiresInEurope2005.pdf (last accessed June 10, 2008)
49. Schoenberg F.P., Chang C., Keeley J.E., Pompa J., Woods J., and Xu H. A critical assessment of the Burning Index in Los Angeles County, California. International Journal of Wildland Fire 16 (2007) 473-483
50. Sebastián-López A., San-Miguel-Ayanz J., and Burgan R.E. Integration of satellite sensor data, fuel type maps and meteorological observation for evaluation of forest fire risk at the pan-European scale. International Journal of Remote Sensing 23 (2002) 2713-2719
51. SPSS. SPSS for Windows, V.13 (2005), SPSS Inc.
52. (Social Sciences Teaching and Research Statistics). SSTARS. Multicollinearity in Logistic Regression (2003), Information Technology Computing Center, University of Kentucky. http://www.uky.edu/ComputingCenter/SSTARS/MulticollinearityinLogisticRegression.htm Available at: (last accessed: June 10, 2008)
53. Stephens S.L. Forest fire causes and extent on United States Forest Service Lands. International Journal of Wildland Fire 14 (2005) 213-222
54. Sturtevand B.R., and Cleland D.T. Human and biophisical factors influencing modern fire disturbance in northern Wisconsin. International Journal of Wildland Fire 16 (2007) 398-413
55. Thompson W.A. Using forest fire hazard modelling in multiple use forest management planning. Forest Ecology and Management 134 (2000) 163-176
56. Vadrevu K.P., Eaturu A., and Badarinath K.V.S. Spatial distribution of forest fires and controlling factors in Andhra Pradesh, India using SPOT satellite dataset. Environmental Monitoring and Assessment 123 (2006) 15-96
57. Vasconcelos M.J.P., Silva S., Tomé M., Alvim M., and Pereira J.M.C. Spatial prediction of fire ignition probabilities: comparing logistic regression and neural networks. Photogrammetric Engineering and Remote Sensing 67 (2001) 73-83
58. Vasilakos C., Kalabokidis K., Hatzopoulos J., Kallos G., and Matsinos Y. Integrating new methods and tools in fire danger rating. International Journal of Wildland Fire 16 (2007) 306-316
59. Vázquez A., and Moreno J.M. Patterns of lightning and people-caused fires in Peninsular Spain. International Journal of Wildland Fire 8 (1998) 103-115
60. Vega-Garcia C., and Chuvieco E. Applying local measures of spatial heterogeneity to Landsat-TM images for predicting wildfire occurrence in Mediterranean landscapes. Landscape Ecology 21 (2006) 595-605
61. Vega-García C., Woodard T., Adamowicz W.L., and Lee B. A logit model for predicting the daily occurence of human caused forest fires. International Journal of Wildland Fire 5 (1995) 101-111
62. Vélez R. La Defensa Contra Incendios Forestales. Fundamentos y Experiencias (2000), McGraw-Hill, Interamericana de España S.A.U. Madrid
63. Yang J., He H.S., Shifley S.R., and Gustafson E.J. Spatial patterns of modern period human-caused fire occurrence in the Missouri Ozark Highlands. Forest Science 53 (2007) 1-15
64. Yool S.R., Eckhardt D.W., Estes J.E., and Cosentino M.J. Describing the brushfire hazard in southern California. Annals of the Association of American Geographers 75 (1985) 417-430