Modeling human-caused forest fire ignition for assessing forest fire danger in Austria

doi:10.3832/ifor0936-006

Modeling human-caused forest fire ignition for assessing forest fire danger in Austria

N Arndt⁽¹⁾ , H Vacik⁽¹⁾, V Koch⁽²⁾, A Arpaci⁽¹⁾, H Gossow⁽³⁾

iForest - Biogeosciences and Forestry, Volume 6, Issue 6, Pages 315-325 (2013)
doi: https://doi.org/10.3832/ifor0936-006
Published: Jul 16, 2013 - Copyright © 2013 SISEF

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Forest fires have not been considered as a significant threat for mountain forests of the European Alpine Space so far. Climate change and its effects on nature, ecology, forest stand structure and composition, global changes according to demands of society and general trends in the provision of ecosystem services are potentially going to have a significant effect on fire ignition in the future. This makes the prediction of forest fire ignition essential for forest managers in order to establish an effective fire prevention system and to allocate fire fighting resources effectively, especially in alpine landscapes. This paper presents a modelling approach for predicting human-caused forest fire ignition by a range of socio-economic factors associated with an increasing forest fire danger in Austria. The relationship between touristic activities, infrastructure, agriculture and forestry and the spatial occurrence of forest fires have been studied over a 17-year period between 1993 and 2009 by means of logistic regression. 59 independent socio-economic variables have been analysed with different models and validated with heterogeneous subsets of forest fire records. The variables included in the final model indicate that railroad, forest road and hiking trail density together with agricultural and forestry developments may contribute significantly to fire danger. The final model explains 60.5% of the causes of the fire events in the validation set and allows a solid prediction. Maps showing the fire danger classification allow identifying the most vulnerable forest areas in Austria and are used to predict the fire danger classes on municipality level.

Keywords

Forest Fire, European Alpine Space, Austria, Infrastructure, Socio-economic Factors, Geographic Information System, Logistic Regression

Authors’ address

(1)

Department of Forest and Soil Sciences, Institute of Silviculture, University of Natural Resources and Life Sciences, Peter Jordan Str. 82, A-1190 Vienna (Austria)

(2)

Department of Landscape, Spatial and Infrastructure Sciences, Institute of Surveying, Remote Sensing and Land Information, University of Natural Resources and Life Sciences, Peter Jordan Str. 82, A-1190 Vienna (Austria)

(3)

Department of Integrative Biology and Biodiversity Research, Institute of Wildlife Biology and Game Management, University of Natural Resources and Life Sciences, Peter Jordan Str. 82, A-1190 Vienna (Austria)

Corresponding author

N Arndt
natalie_arndt@yahoo.com

Citation

Arndt N, Vacik H, Koch V, Arpaci A, Gossow H (2013). Modeling human-caused forest fire ignition for assessing forest fire danger in Austria. iForest 6: 315-325. - doi: 10.3832/ifor0936-006

Academic Editor

Marco Borghetti

Paper history

Received: Dec 18, 2012
Accepted: Apr 14, 2013

First online: Jul 16, 2013
Publication Date: Dec 02, 2013
Publication Time: 3.10 months

Open Access

This article is distributed under the terms of the Creative Commons Attribution-Non Commercial 4.0 International (https://creativecommons.org/licenses/by-nc/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

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List of the papers citing this article based on CrossRef Cited-by.

(1)

AFI (2011)
Austrian Forest Inventory. Österreichische Waldinventur 2007/2009, BFW-Praxisinformation Nr. 24. Bundesforschungsanstalt und Ausbildungszentrum für Wald, Naturgefahren und Landschaft.
Gscholar

(2)

Amatulli G, Pérez-Cabello F, de la Riva J (2007)
Mapping lightning/human-caused wildfire occurrence under ignition point location uncertainty. Ecological Modelling 200: 321-333.
CrossRef | Gscholar

(3)

Andrews PL, Loftsgaarden DO, Bradshaw LS (2003)
Evaluation of fire danger rating indexes using logistic regression and percentile analysis. International Journal of Wildland Fire 12: 213-226.
CrossRef | Gscholar

(4)

Arndt N (2007)
Problem of fires on embankments along railway routes in Austria. Masterarbeit, Univ. für Bodenkultur, Vienna, Austria.
Online | Gscholar

(5)

Arpaci A, Eastaugh CS, Vacik H (2013)
Selecting the best performing fire weather indices for Austrian ecoregions. Theoretical and Applied Climatology.
CrossRef | Gscholar

(6)

Bellgardt E (1997)
Statistik mit SPSS: ausgewählte Verfahren für Wirtschaftswissenschaftler. München, Vahlen X, pp. 277. ISBN 3-8006-2197-5 [in German]
Gscholar

(7)

Beniston M, Diaz HF, Bradley RS (1997)
Climatic change at high elevation sites: an overview. Climatic Change 36: 233-251.
CrossRef | Gscholar

(8)

Brauchle T (2006)
Tourismus im Alpenraum, Chancen und Risiken eines bedeutenden Schweizer Wirtschaftssektors im Umbruch. Informationsheft Forum Raumentwicklung no. 34, Schweizerische Eidgenossenschaft, Bundesamt für Raumentwicklung, Bern, Swiss. Abdruck erwünscht mit Quellenangabe, Belegexemplar an ARE. ISSN 1660-624 8. [in German]
Gscholar

(9)

Brosofske KD, Cleland DT, Saunders SC (2007)
Factors influencing modern wildfire occurrence in the Mark Twain National Forest, Missouri. Southern Journal of Applied Forestry 31 (2): 73-84.
Gscholar

(10)

Brown TJ, Hall BL, Westerling AL (2004)
The impact of twenty-first century climate change on wildland fire danger in the Western United States, an application perspective. Climatic Change 62: 365-388.
CrossRef | Gscholar

(11)

Cardille JA, Ventura SJ, Turner MG (2001)
Environmental and social factors influencing wildfires in the Upper Midwest, USA. Ecological Applications 11 (1): 111-127.
CrossRef | Gscholar

(12)

Castedo-Dorado F, Rodriguez-Perez JR, Marcos-Menendez JL, Alvarez-Taboadam MF (2011)
Modelling the probability of lightning-induced forest fire occurrence in the province of León (NW Spain). Forest Systems 20 (1): 95-107.
CrossRef | Gscholar

(13)

Catry FX, Rego FC, Bação F, Moreira F (2009)
Modelling and mapping wildfire ignition risk in Portugal. International Journal of Wildland Fire 18: 921-931.
CrossRef | Gscholar

(14)

Chuvieco E, Congalton RG (1989)
Application of remote sensing and geographical information system to forest fire hazard mapping. Remote Sensing of the Environment 29: 147-159.
CrossRef | Gscholar

(15)

Chuvieco E, Salas, FJ, Carvacho L, Rodriguez- Silva F (1999)
Integrated fire risk mapping. In: “Remote Sensing of Large Wildfires in the European Mediterranean” (Chuvieco E ed). Springer-Verlag, Berlin, pp. 61-84.
CrossRef | Gscholar

(16)

Chuvieco E, Allgöwer B, Salas FJ (2003)
Integration of physical and human factors in fire danger assessment. In: “Wildland Fire Danger Estimation and Mapping - the Role of Remote Sensing Data” (Chuvieco E ed). World Scientific Publishing, Singapore, pp. 197-218.
Gscholar

(17)

Chuvieco E, Aguado I, Yebra M, Nieto H, Salas J, Martín MP, Vilar L, Martínez J, Martín S, Ibarra P, de la Riva J, Baeza J, Rodríguez F, Molina J R, Herrera MA, Zamora R (2009)
Development of a framework for fire risk assessment using remote sensing and geographic information system technologies. Ecological Modelling 221: 46-58.
CrossRef | Gscholar

(18)

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.
CrossRef | Gscholar

(19)

Donoghue LR, Main WA (1985)
Some factors influencing wildfire occurrence and measurement of fire-prevention effectiveness. Journal of Environmental Management 20: 87-96.
Gscholar

(20)

Dumas E, Jappiot M, Tatoni T (2008)
Mediterranean urban-forest interface classification (MUFIC): a quantitative method combining SPOT5 imagery and landscape ecology indices. Landscape and Urban Planning 84: 183-190.
CrossRef | Gscholar

(21)

Eastaugh CS, Vacik H (2012)
Fire size/frequency modelling as a means of assessing wildfire database reliability. Austrian Journal of Forest Science 129 (3-4): 228-247.
Online | Gscholar

(22)

Environmental Agency Austria (2012)
Corine Landcover.
Online | Gscholar

(23)

Fotheringham AS, Brunsdon C, Charlton M (2002)
Geographically weighted regression. The analysis of spatially varying relationships. John Wiley and Sons, West Sussex, UK, pp. 269.
Gscholar

(24)

Fredericksen TS, Putz FE (2003)
Silvicultural intensification for tropical forest conservation. Biodiversity and Conservation 12: 1445-1453.
CrossRef | Gscholar

(25)

Fried JS, Torn MS, Mills E (2004)
The impact of climatic change on wildfire severity: a regional forecast for northern California. Climatic Change 64: 169-191.
CrossRef | Gscholar

(26)

Gambino R, Romano B (2003)
Territorial strategies and environmental continuity in mountain regions: the case of the Apennines. In: Proceedings of the “World Heritage Mountain Protected Area Field Workshop. Linking protected areas along the mountain range” (Hamilton L, Sandwith T, Rushworth I, Krueger S, Potter D, Zunckle K, Worboys G, Harmon D eds). Durban (South Africa) 5-8 September 2003. The Nature Conservacy, Italian Ministry of Environment, Rome, Italy, University of Turin, Italy, University of L’Aquila, Italy, pp. 16.
Online | Gscholar

(27)

Gehrig-Fasel J, Guisan A, Zimmermann NE (2007)
Tree line shifts in the Swiss Alps: climate change or land abandonment? Journal of Vegetation Science (18): 571-582.
CrossRef | Gscholar

(28)

Goldammer JG (2003)
Towards international cooperation in managing forest fire disasters in the Mediterranean region. International Forest Fire News 27: 81-89.
CrossRef | Gscholar

(29)

Gossow H, Frank G (2003)
Waldbrand auf Windwurf - eine unheilige Allianz. Oesterr. Forstz. 114 (9): 8-9. [in German]
Gscholar

(30)

Grissino-Mayer HD, Romme WH, Floyd ML, Hanna DD (2004)
Climatic and human influences on fire regimes of the southern San Juan Mountains, Colorado, USA. Ecology 85 (6): 1708-1724.
CrossRef | Gscholar

(31)

Guyette RP, Dey DC (2000)
Humans, topography and wildland fire: the ingredients for long-term patterns in ecosystems. In: Proceedings of the “Workshop on Fire, People and the Central Hardwood Landscape” (Yaussey DA ed). Gen. Tech. Rep. NE-274, USDA Forest Service, Newton Square, PA, USA, pp. 28-35.
Gscholar

(32)

Guyette RP, Spetich MA (2003)
Fire history of oak-pine forests in the Lower Boston Mountains, Arkansas, USA. Forest Ecology and Management 180: 463-474.
Online | Gscholar

(33)

Hall CM, Page SJ (2009)
Progress in tourism management: from the geography of tourism to geographies of tourism - a review. Tourism Management 30 (1): 3-16.
CrossRef | Gscholar

(34)

Heinrichs AK, Kohler Y, Ullrich A (2010)
Implementing a Pan-Alpine ecological network. A compilation of major approaches, tools and activities BfN-Skripten 273.
Online | Gscholar

(35)

Jamnick MS, Beckett DR (1988)
A logit analysis of private woodlot owners harvesting decisions in New Brunswick. Canadian Journal of Forest Research 18: 330 - 336.
CrossRef | Gscholar

(36)

Johnson EA, Fryer GI, Heathcott MJ (1990)
The Influence of man and climate on frequency of fire in the Interior Wet Belt Forest, British Columbia. The Journal of Ecology 78 (2): 403.
CrossRef | Gscholar

(37)

Kalabokidis KD, Konstantinidis P, Vasilakos C (2002)
GIS analysis of physical and human impact on wildfire patterns. In: “Forest Fire Research and Wildland Fire Safety” (Viegas ed). Millpress, Rotterdam, The Netherland. [ISBN 90-77017-72-0]
Gscholar

(38)

Kerschbaumer N, Huber T, Bergthaler GJ, Derbuch G, Friess T (2007)
Fallbeispiele zur Alpinen Brandwirtschaft - Auswirkungen auf Vegetation und Fauna. Studie im Auftrag der Arge Naturschutz, Afritz, Klagenfurt, Austria, pp. 10. [in German]
Gscholar

(39)

Koutsias N, Martinez J, Chuvieco E, Allgöwer B (2005)
Modelling wildland fire occurrence in southern Europe by geographically weighted regression approach. In: Proceedings of the “5 International Workshop on Remote Sensing and GIS Applications to Forest Fire Management: Fire Effects Assessment” (De la Riva J, Pérez-Cabello F, Chuvieco E eds). Zaragoza (Spain) 16-18 June 2005. EARSeL Forest Fire Specal Interest Group, pp. 57-60.
Online | Gscholar

(40)

Koutsias N, Martínez-Fernández J, Allgöwer B (2010)
Do factors causing wildfires vary in space? Evidence from geographically weighted regression. GIScience and Remote Sensing 47 (2): 221.
CrossRef | Gscholar

(41)

Leone V, Lovreglio R, Fernandez JM (2002)
Forest fires and anthropogenic influences. a study case (Gargano National Park, Italy). In: “Forest Fire Research & Wildland Fire Safety” (Viegas ed). Millpress, Rotterdam, The Netherlands. ISBN 90-77017-72-0
Gscholar

(42)

Leone V, Koutsias N, Martinez J, Vega-Garcia C, Allgöwer B, Lovreglio R (2003)
The human factor in fire danger assessment. In: “Wildland Fire Danger Estimation and Mapping. The Role of Remote Sensing Data” (Chuvieco E ed). World Scientific Publishing, Singapore, vol. 4, pp. 143 -194.
Gscholar

(43)

Lindner M, Maroschek M, Netherer S, Kremer A, Barbati A, Garcia-Gonzalo J, Seidl R, Delzon S, Corona P, Kolström M, Lexer MJ, Marchetti M (2010)
Climate change impacts, adaptive capacity, and vulnerability of European forest ecosystems. Forest Ecology and Management 259: 698-709
CrossRef | Gscholar

(44)

Loftsgaarden D, Andrews PL (1992)
Constructing and testing logistic regression models for binary data: applications to the National Fire Danger Rating System. General Technical Report 286, USDA Forest Service, Ogden, UT, USA.
Gscholar

(45)

Martell DL, Otukol S, Stocks BJ (1987)
A logistic model for predicting daily people-caused fire occurrence in Ontario. Canadian Journal of Forestry Research 17: 394-401
CrossRef | Gscholar

(46)

Martinez J, Vega-Garcia C, Chuvieco E (2009)
Human-caused wildfire risk rating for prevention planning in Spain. Journal of Environmental Management 90 (2): 1241-1252
CrossRef | Gscholar

(47)

Menard S (2008)
Applied logistic regression analysis (2 edn). Quantitative applications in the Social Sciences 106, Sage, Thousand Oaks, CA, USA. - ISBN: 978-0-7619-2208-7
Gscholar

(48)

Mollicone D, Eva HD, Achard F (2006)
Human role in Russian wild fires. Nature 440: 436-437.
CrossRef | Gscholar

(49)

Müller M, Vacik H, Diendorfer G, Arpaci A, Formayer H, Gossow H (2013)
Analysis of lightning induced forest fires in Austria. Theoretical and Applied Climatology 111 (1-2): 183-193.
CrossRef | Gscholar

(50)

Nordregio (2004)
Mountain areas in Europe: analysis of mountain areas in EU Member States, acceding and other European countries. Nordregio Report 1, pp. 271. - ISBN: 91-89332-35-0
Gscholar

(51)

Pezzati GB, Bajocco S, Torriani D, Conedera M (2009)
Fire regimes in Southern Europe. Selective burning of forest vegetation in Canton Ticino (southern Switzerland). Plant Biosystems 143(3): 609-620.
CrossRef | Gscholar

(52)

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.
CrossRef | Gscholar

(53)

Schumacher S, Bugmann H (2006)
The relative importance of climatic effects, wildfires and management for future forest landscape dynamics in the Swiss Alps. Global Change Biology 12: 1435-1450.
CrossRef | Gscholar

(54)

Sebastián-López A, Salvador-Civil R, Gonzalo-Jimenéz J, San Miguel-Ayanz J (2008)
Integration of socio-economic and environmental variables for modelling long-term fire danger in Southern Europe. European Journal of Forest Research 127: 149-163.
CrossRef | Gscholar

(55)

Statistik Austria (2010)
Tourismus in Zahlen Österreich 2009/2010. Web Site. [online]:
Online | Gscholar

(56)

Steininger KW, Weck-Hannemann H (2002)
Global environmental change in Alpine regions: Recognition, impact, adaptation and mitigation. Edward Elgar, Cheltenham, UK, pp. 271. - ISBN: 1-84376-183-1
Gscholar

(57)

Theurillat JP, Guisan A (2001)
Potential impact of climate change on vegetation in the European Alps: a review. Climatic Change 50: 77-109.
CrossRef | Gscholar

(58)

Uhl C, Buschbacher R (1985)
A disturbing synergism between cattle ranch burning practices and selective harvesting in the eastern Amazon. Biotropica 17: 265-268.
CrossRef | Gscholar

(59)

Vacik H, Arndt N, Arpaci A, Koch V, Müller M, Gossow H (2011)
Characterisation of forest fires in Austria. Austrian Journal of Forest Sciences 128 (1): 1-31.
Gscholar

(60)

Vasconcelos MJP, Silva S, Tome M, Alvim M, Cardoso Pereira JM (2001)
Spatial prediction of fire ignition probabilities. Comparing Logistic Regression and Neural Networks. Photogrammetric Engineering and Remote Sensing 67 (1): 73-81.
Online | Gscholar

(61)

Vasilakos C, Kalanokidis K, Hatzopoulos J, Kallos G, Matsinos Y (2007)
Integrating new methods and tools in fire danger rating. International Journal of Wildland Fire 16: 306-316.
CrossRef | Gscholar

(62)

Vega-Garcia C, Woodard T, Adamowicz WL, Lee B (1995)
A logit model for predicting the daily occurrence of human caused forest fires. International Journal of Wildland Fire 5: 101-111.
CrossRef | Gscholar

(63)

Vilar L, Woolford DG, Martell DL, Martin MP (2010)
A model for predicting human-caused wildfire occurrence in the region of Madrid, Spain. International Journal of Wildland Fire 19: 325-337.
CrossRef | Gscholar

(64)

Wastl C, Schunk C, Leuchner M, Pezzatti GB, Menzel A (2012)
Recent climate change: Long-term trends in meteorological forest fire danger in the Alps. Agricultural and Forest Meteorology 162-163: 1-13.
CrossRef | Gscholar

(65)

Weibel P, Reineking B, Bugmann H (2009)
Projecting forest fires in mountain forests under climate change. Earth and Environmental Science 6.
CrossRef | Gscholar

(66)

Wotton BM, Martell DL, Logan KA (2003)
Climate change and people-caused forest fire occurrence in Ontario. Climate Change 60: 275-295.
CrossRef | Gscholar

(67)

Zhang ZX, Zhang HY, Zhou DW (2010)
Using GIS spatial analysis and logistic regression to predict the probabilities of human-caused grassland fires. Journal of Arid Environments 74 (3): 386-393.
CrossRef | Gscholar

(68)

Zumbrunnen T, Pezzatti GB, Menéndez P, Bugmann H, Bürgi M, Conedera M (2011)
Weather and human impacts on forest fires: 100 years of fire history in two climatic regions of Switzerland. Forest Ecology and Management 261 (12): 2188-2199.
CrossRef | Gscholar

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