Articles | Volume 20, issue 2
https://doi.org/10.5194/nhess-20-363-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-20-363-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Wildfire ignition probability in Belgium
Arthur Depicker
CORRESPONDING AUTHOR
Department of Data Analysis and Mathematical Modelling, Ghent
University, Ghent, Belgium
Bernard De Baets
Department of Data Analysis and Mathematical Modelling, Ghent
University, Ghent, Belgium
Jan Marcel Baetens
Department of Data Analysis and Mathematical Modelling, Ghent
University, Ghent, Belgium
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Cited articles
ANB: Bos en heide brandbestrijding, available at:
http://www.kalmthout.be/brandweer-bos-en-heide-brandbestrijding.html,
last access: 15 October 2017.
Belga: Franse blusvliegtuigen oefenen bestrijding van bosbrand in Hoge
Venen, available at:
https://www.knack.be/nieuws/belgie/franse-blusvliegtuigen-oefenen-bestrijding-van-bosbrand-in-hoge-venen/article-normal-93149.html
(last access: 20 November 2017), 2013.
Belgian Federal Government: Over België, available at: http://www.belgium.be/nl/over_belgie/land, last access: 11 August 2016.
Bond, W. J. and van Wilgen, B. W.: Fire and Plants, Chapman & Hall, London, UK, 1996.
Buis, J.: Historia Forest: Nederlandse Bosgeschiedenis, HES Uitgevers,
't Goy, the Netherlands, 1985.
Burk, A. R. (Ed.): New research on Forest Ecosystems, Nova Science Pub
Inc, Happauge, NY, USA, 2005.
Catry, F. X., Rego, F. C., Bacao, F. L., and Moreira, F.: Modeling and mapping wildfire
ignition risk in Portugal, Int. J. Wildland Fire, 18, 1–11,
https://doi.org/10.1071/WF07123, 2009.
Chaparro, D., Vall-Ilosera, M., Piles, M., Camps, A., and Rudiger, C.: Low soil
moisture and high temperatures as indicators for forest
fire occurrence and extent across the Iberian Peninsula, in: 2015 IEEE
International Geoscience and Remote Sensing Symposium, 13–18 July 2015, Milan, Italy, 3325–3328,
https://doi.org/10.1109/IGARSS.2015.7326530, 2015.
Chuvieco, E., Cocero, D., Riano, D., Martin, P., Martinez-Vega, J., de la Riva, J., and
Perez, F.: Combining ndvi and surface temperature for the estimation of
live fuel moisture content in forest fire danger rating, Remote Sens.
Environ., 92, 322–331, 2004.
Dawid, P., Earman, J., Howson, C., Miller, D., and Sober, E.: Bayes's theorem,
Oxford university press, Oxford, UK,
https://doi.org/10.5871/bacad/9780197263419.001.0001, 2005.
den Ouden, J., Muys, B., Mohren, F., and Verheyen, K. (Eds.): Bosecologie en
Bosbeheer, Acco, Leuven, Belgium, 2010.
Dickson, B. G., Prather, J. W., Xu, Y., Hampton, H. M., Aumack, E. N., and Sisk, T. D.: Mapping
the probability of large fire occurrence in northern Arizona, USA, Landscape
Ecol., 21, 747–761, https://doi.org/10.1007/s10980-005-5475-x, 2006.
Doerr, S. H. and Santin, C.: Global trends in wildfire and its impacts:
perceptions versus realities in a changing world, Philos. T.
Roy. Soc. B, 371, 1–10, https://doi.org/10.1098/rstb.2015.0345, 2016.
Eisenman, D., McCaffrey, S., Donatello, I., and Marshal, G.: An ecosystems and
vulnerable populations perspective on solastalgia and psychological distress
after a wildfire, EcoHealth, 12, 602–610, 2015.
European Parliament, the European Counsil: Regulation (eu) no
1305/2013 of the european parliament and of the council of 17 december 2013
on support for rural development by the european agricultural fund for rural
development (eafrd) and repealing council regulation (ec) no. 1698/2005,
Official Journal of the European Union, 56, 487–548, 2013.
European Union Road Federation: Road Statistics, Yearbook 2016, Brussels, Belgium, 2016.
Eysker, M., Bakker, N., Kooyman, F. N., van der Linden, D., Schrama, C., and Ploeger, H. W.: Consequences of the unusually warm and dry summer of 2003 in The
Netherlands: Poor development of free living stages, normal survival of
infective larvae and long survival of adult gastrointestinal nematodes of
sheep, Vet. Parasitol., 133, 313–321,
https://doi.org/10.1016/j.vetpar.2005.05.058,
2005.
Federal Public Service Interior: Nationaal Actieplan
Natuurbranden, Brussels, Belgium, 2013.
Giglio, L., Randerson, J. T., van der Werf, G. R., Kasibhatla, P. S., Collatz, G. J., Morton, D. C., and DeFries, R. S.: Assessing variability and long-term trends in burned area by merging multiple satellite fire products, Biogeosciences, 7, 1171–1186, https://doi.org/10.5194/bg-7-1171-2010, 2010.
Goldammer, J. G. and Furyaev, V.: Fire Ecosystems of Boreal Eurasia, Springer
Science & Business Media, Dordrecht, the Netherlands, 2013.
Hardy, C. C.: Wildland fire hazard and risk: problems, definitions, and
context, Forest Ecol. Manage., 15, 2097–2108,
https://doi.org/10.1016/j.foreco.2005.01.029, 2005.
Hermy, M., de Blust, G., and Slootmaekers, M.: Natuurbeheer, Davidsfonds,
Leuven, Belgium, 2004.
IPCC: Managing the Risks of Extreme Events and Disasters to Advance
Climate Change Adaptation. Special Report of the Intergovernmental Panel on
Climate Change, edited by: Field, C. B., Barros, V., Stocker, T. F., Dahe, Q., Dokken, D. J., Plattner, G.-K., Ebi, K. L., Allen, S. K., Mastrandrea, M. D., Tignor, M., Mach, K. J., and Midgley, P. M., Cambridge University Press, Cambridge, UK, 2012.
IPCC: Climate Change 2014: Synthesis Report. Contribution of Working
Groups I, II and III to the Fifth Assessment Report of the Intergovernmental
Panel on Climate Change, IPCC, edited by: Pachauri, R. K. and Meyer, L. A., Geneva, Switzerland, 2014.
Jacob, J. P. and Paquet, J. Y.: Nieuwe waalse broedvogelatlas 2001–2007, Natuur
oriolus, 77, 39–47, 2011.
Jacquemyn, H., Brys, R., and Neubert, M. G.: Fire increases invasive spread of Molinia caerulea mainly through changes in demograhic parameters, Ecol. Appl., 15, 2097–2108, https://doi.org/10.1890/04-1762, 2005.
Journée, M., Delvaux, C., and Bertrand, C.: Precipitation climate maps of
Belgium, Adv. Sci. Res., 12, 73–78, 2015.
Kaleita, A. M., Tian, L. F., and Hirschi, M. C.: Relationship between soil moisture
content and soil surface reflectance, T. ASAE, 48, 1979–1986, 2005.
KMI: Jaarverslag KMI 2011, Brussels, Belgium, 2011.
Kolden, C. A. and Weigel, T. J.: Fire risk in San Diego County, California: a
weighted Bayesian model approach, Californian Geographer, 47, 42–60, 2007.
Liekens, I., Schaafsma, M., De Nocker, L., Steven, B., Staest, J., Aertsens, J., and Brouwer,
R.: Developing a value function for nature development and land use
policy in Flanders, Belgium, Land Use Policy, 30, 549–559,
https://doi.org/10.1016/j.landusepol.2012.04.008, 2013.
Liu, G. C., Pereira, G., Uhl, S. A., Bravo, M. A., and Bell, M. L.: A systematic review of
the physical health impacts from non-occupational exposure to wildfire
smoke, Environ. Res., 136, 120–132, 2014.
Log, T., Thuestad, G., Velle, L. G., Khattri, S. K., and Kleppe, G.: Unmanaged heathland
a fire risk in subzero temperatures?, Fire Safety Journal, 90, 62–71,
https://doi.org/10.1016/j.firesaf.2017.04.017, 2017.
Marrs, R. H., Phillips, J. D., Todd, P. A., Ghorbani, J., and Le Duc, M. G.: Control of
Molinia caerulea on upland moors, J. Appl. Ecol., 41, 398–411, https://doi.org/10.1111/j.0021-8901.2004.00901.x, 2004.
Martinez, J., Chuvieco, E., Martin, P., and Gonzalez-Caban, A.: Estimation of Risk
Factors of Human Ignition of Fires in Spain by Means of Logistic Regression, in: Second International Symposium on Fire Economics, Planning and Policy:
A Global View. Albany, https://doi.org/10.2737/PSW-GTR-208, 2008.
Massada, A., Syphard, A., Stewart, S., and Radeloff, V.: Wildfire
ignition-distribution modelling: A comparative study in the Huron-Manistee
National Forest, Michigan, USA, Int. J. Wildland Fire,
22, 174–183, https://doi.org/10.1071/WF11178, 2012.
McDonald, J.: Handbook of Biological Statistics, 3rd edn., Sparky House
Publishing, Baltimore, MD, USA, 2014.
Meersmans, J., Van Weverberg, K., De Baets, S., De Ridder, F., Palmer, S. J., van
Wesemael, B., and Quine, T. A.: Mapping mean total annual precipitation in
Belgium, by investigating the scale of topographic control at the regional
scale, J. Hydrol., 540, 96–105, https://doi.org/10.1016/j.jhydrol.2016.06.013, 2016.
Miller, C. and Ager, A. A.: A review of recent advances in risk analysis for
wildfire management, Int. J. Wildland Fire, 22, 1–14,
https://doi.org/10.1071/WF11114, 2013.
Ministry of Justice and Security: Memorandum van overeenstemming over
de uitvoering van fire bucket operations, Staatscourant 7003, Brussels, Belgium, 2015.
National Wildlife Federation: Increased Risk of Catastrophic
Wildfires: Global Warmings Wake-Up Call for the Western United States,
National Wildlife Federation Report, Reston, VA, USA, 2008.
Navarro, K. M., Schweizer, D., Balmes, R. J., and Cisneros, R.: A review of community
smoke exposure from wildfire compared to prescribed fire in the United
States, Atmosphere, 9, 185, https://doi.org/10.3390/atmos9050185, 2018.
North, B. M., Stephens, S. L., Collins, B. M., Agee, J. K., Aplet, G., Franklin, J. F., and Fulé,
P. Z.: Reform forest fire management, Science, 349, 1280–1281,
https://doi.org/10.1126/science.aab2356, 2015.
Penman, T. D., Nicholson, A. E., Bradstock, R. A., Collins, L., Penman, S. H., and Price, O. F.:
Reducing the risk of house loss due to wildfires, Environ. Modell.
Softw., 67, 12–25, 2015.
Preisler, H., Brillinger, D., Burgan, R., and Benoit, J.: Probability based models
for estimation of wildfire risk, Int. J. Wildland Fire,
13, 133–142, https://doi.org/10.1071/WF02061, 2004.
Randerson, J. T., Chen, Y., van der Werf, G. R., Rogers, B. M., and Morton, D. C.: Global
burned area and biomass burning emissions from small fires, J.
Geophys. Res., 117, G04012, https://doi.org/10.1029/2012JG002128, 2012.
Rodrigues, M. and de la Riva, J.: An insight into machine-learning algorithms
to model human-caused wildfire occurrence, Environ. Modell.
Softw., 57, 201, https://doi.org/10.1016/j.envsoft.2014.03.003, 2014.
San-Miguel-Ayanz, J., Durrant, T., Boca, R., and Camia, A.: Forest Fire Damage in
Natura 2000 sites 2000–2012, European Commission and Joint Research Centre
Scientific and Technical Research Report, Ispra, Italy, https://doi.org/10.2788/58397, 2012a.
San-Miguel-Ayanz, J., Schulte, E., Schmuck, G., Camia, A., Strobl, P., Liberta, G.,
Giovando, C., Boca, R., Sedano, F., Kempeneers, P., McInerney, D., Withmore, C., de
Oliveira, S. S., Rodrigues, M., Durrant, T., Corti, P., Vilar, F. O. L., and Amatulli, G.:
Comprehensive Monitoring of Wildfires in Europe: The European Forest Fire Information
System (EFFIS), European Commission, Joint Research Centre and
Directorate-General Environment Joint Report, Ispra, Italy, 2012b.
San-Miguel-Ayanz, J., Chuvieco, E., Handmer, J., Moffat, A., Montiel-Molina, C.,
Sandahl, L., and Viegas, D.: Climatological Risk, European Commission, Ispra,
Italy, 294–305, 2017.
Schepers, L., Haest, B., Veraverbeke, S., Spanhove, T., Vanden Borre, J., and Goossens, R.: Burned area detection and burn severity assessment of a heathland fire
in belgium using airborne imaging spectroscopy (apex), Remote Sens.,
6, 1803–1826, https://doi.org/10.3390/rs6031803,
2014.
Schmuck, G., San-Miguel-Ayanz, J., Camia, A., Durrant, T., Boca, R., Libertà, G.,
Petroliagkis, T., Di Leo, M., Rodrigues, D., Boccacci, F., and Schulte, E.: Forest
Fires in Europe, Middle East and North Africa 2011, European Commission,
Joint Research Centre and Directorate-General Environment Joint Report,
Ispra, Italy, https://doi.org/10.2788/44558, 2012.
Stevens, M., Demolder, H., Jacobs, S., Schneiders, A., Simoens, I., Spanhove, T., Van
Gossum, P., Van Reeth, W., Michels, H., and Peymen, J.: Flanders Regional
Ecosystem Assessment: State and trends of ecosystems and their services in
Flanders, Research Institute for Nature and Forest, Communications of the
Research Institute for Nature and Forest, Brussels, Belgium, 2015.
Syphard, A. D., Bar Massada, A., Butsic, V., and Keeley, J. E.: Land use planning and
wildfire: development policies influence future probability of housing loss,
Plos ONE, 8, e71708, https://doi.org/10.1371/journal.pone.0071708, 2013.
Timperman, B. and Willekens, G.: Brandgevaar dreigt in bossen – snel
ingrijpen van Geelse, Molse en Grobbendonkse spuitgasten voorkomt erger, 30 July 1999,
Gazet Van Antwerpen, Antwerp, Belgium, 1999.
United Nations: List of countries by population density, available at:
http://statisticstimes.com/population/countries-by-population-density.php
(last access: 24 August 2016), 2015.
Van Butsic, M. K. and Moritz, M. A.: Land use and wildfire: A review of local
interactions and teleconnections, Land, 4, 140–156, https://doi.org/10.3390/land4010140, 2015.
Vandenberghe, R., Laurijssens, G., Vandekerkhove, K., and De Blust, G.:
Geïntegreerd bos- en natuurbeheerplan voor het Schietveld Helchteren,
INBO Nature Management Plan, Brussels, Belgium, 2009.
Vilar del Hoyo, L., Isabel, M., and Vega, F.: Logistic regression models for
human-caused wildfire risk estimation: analysing the effect of the spatial
accuracy in fire occurrence data, Eur. J. For. Res.,
130, 983–996, https://doi.org/10.1007/s10342-011-0488-2, 2011.
Walloon Government, the European Commission: Programme Wallon de
Développement Rural 2007–2013, Service Public de Wallonie, Jambes,
Belgium, 2015.
Waumans, F., Geudens, G., and Wijns, K.: Beheerplan militair domein Vrijbos
Houthulst, ANB Nature Management Plan, Holsbeek, Belgium, 2009.
Youssouf, H., Liousse, C., Roblou, L., Assamoi, E., Salonen, R. O., Maesano, C., Banerjee,
S., and Annesi-Maesano, I.: Non-accidental health impacts of wildfire smoke,
Int. J. Env. Res. Pub. He.,
11, 11772–11804, 2014.
Zamani, S., Gobin, A., Van de Vyver, H., and Gerlo, J.: Atmospheric drought in
Belgium – statistical analysis of precipitation deficit, Int.
J. Climatol., 36, 3056–3071, https://doi.org/10.1002/joc.4536, 2016.
Short summary
In recent years, several valuable nature reserves in Belgium have been severely damaged by wildfires. In order to optimize risk management and prepare for a possibly increasing number of such events, the first wildfire ignition probability map is developed for Belgium, based on data that were obtained from the government and newspaper articles. We find that most ignitions occur in the provinces of Limburg and Antwerp and that most causes are of anthropogenic nature (such as military exercises).
In recent years, several valuable nature reserves in Belgium have been severely damaged by...
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