Skip to main content
Log in

Determination of fire risk to assist fire management for insular areas: the case of a small Greek island

  • Original Paper
  • Published:
Journal of Forestry Research Aims and scope Submit manuscript

Abstract

Forest fire risk estimation constitutes an essential process to prevent high-intensity fires which are associated with severe implications to the natural and cultural environment. The primary aim of this research was to determine fire risk levels based on the local features of an island, namely, the impact of fuel structures, slope, aspects, as well as the impact of the road network and inhabited regions. The contribution of all the involved factors to forest fires ignition and behavior highlight certain regions which are highly vulnerable. In addition, the influence of both natural and anthropogenic factors to forest fire phenomena is explored. In this study, natural factors play a dominant role compared to anthropogenic factors. Hence essential preventative measures must focus on specific areas and established immediately. Indicative measures may include: the optimal allocation of watchtowers as well as the spatial optimization of mobile firefighting vehicles; and, forest fuel treatments in areas characterized by extremely high fire risk. The added value of this fire prediction tool is that it is highly flexible and could be adopted elsewhere with the necessary adjustments to local characteristics.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Source: Toukiloglou et al. (2013), own processing

Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

Notes

  1. This paragraph was derived from the opinion of experts in this field through interview process. Professor Mike Flannigan (Department of Renewable Resources at the University of Alberta) and Research Scientist Bill de Groot (Canadian Forest Service) contributed to the section of the estimated fire behavior of fuel.

  2. In this evaluation, we obtained the opinion of experts in this field through an interview process. Professor Mike Flannigan (Department of Renewable Resources at the University of Alberta) and Research Scientist Bill de Groot (Canadian Forest Service) contributed to the section of the estimated fire behavior of fuel.

References

  • Ager AA, Preisler HK, Arca B, Spano D, Salis M (2014) Wildfire risk estimation in the Mediterranean area. Environ Spec Issue Wildland Fires 25(6):384–396

    Google Scholar 

  • Barbosa MR, Sicoli Seoane JC, Guimaraes Buratto M, de Santana Oliveira SDL, Carvalho Raivel JP, Lobos Martins F (2010) Forest fire alert system: a GeoWeb GIS prioritization model considering land susceptibility and hotspots—a case study in the Caraja´s National Forest, Brazilian Amazon. Int J Geogr Inf Sci 24(6):873–901

    Article  Google Scholar 

  • BC Wildfire Service (2015) Fire behavior. http://bcwildfire.ca/fightingwildfire/behaviour.htm. Accessed 11 Jan 2016

  • Butler BW, Anderson WR, Catchpole EA (2007) Influence of slope on fire spread rate. In: USDA Forest Service Proceedings RMRS-P-46CD

  • Calkin DC, Finney MA, Ager AA, Thompson MP, Gebert KM (2011) Progress towards and barriers to implementation of a risk framework for US federal wildland fire policy and decision making. For Policy Econ 13:378–389

    Article  Google Scholar 

  • Carmel Y, Paz S, Jahashan F, Shoshany M (2009) Assessing fire risk using Monte Carlo simulations of fire spread. For Ecol Manag 257:370–377

    Article  Google Scholar 

  • Christopoulou OG (2011) Deforestation/reforestation in Mediterranean Europe: the case of Greece. In: Dr. Danilo Godone (ed) Soil erosion studies. ISBN: 978-953-307-710-9, InTech, https://doi.org/10.5772/23466. http://www.intechopen.com/books/soil-erosion-studies/deforestation-reforestation-in-mediterranean-europe-the-case-of-greece

  • Cohen J (2010) The wildland-urban interface fire problem. Fremontia 38(2–3):16–22

    Google Scholar 

  • Demir M, Kucukosmanoglu A, Hasdemir M, Ozturk T, Acar H (2009) Assessment of forest roads and firebreaks in Turkey. Afr J Biotechnol 8(18):4553–4561

    Google Scholar 

  • Dimitrakopoulos AP, Bemmerzouk AM, Mitsopoulos ID (2011) Evaluation of the Canadian fire weather index system in an eastern Mediterranean environment. Meteorol Appl 18:83–93

    Article  Google Scholar 

  • Dimopoulou M, Giannikos I (2004) Towards an integrated framework for forest fire control. Eur J Oper Res 152(2):476–486

    Article  Google Scholar 

  • Dong XU, Shao G, Dai L, Hao Z, Tang L, Wang H (2006) Mapping forest fire risk zones with spatial data and principal component analysis. Sci China Ser E Technol Sci 49:140–149

    Article  Google Scholar 

  • EL.STAT (2015) Hellenic statistical authority [online]. http://www.statistics.gr/en/home/. Accessed 15 June 2015

  • E-Thasos.gr (2015) Geography, administration and economy of thasos [online]. http://www.e-thasos.gr/about-thassos/key-facts/geography-and-economy-of-thassos.html. Accessed 23 Oct 2015

  • Eugenio FC, dos Santos AR, Fiedler NC, Ribeiro GA, da Silva AG, Juvanhol RS, Pedra BD (2016) GIS applied to location of fires detection towers in domain area of tropical forest. Sci Total Environ 562:542–549

    Article  PubMed  CAS  Google Scholar 

  • Eumetrain (2015) Forest fires. http://www.eumetrain.org/data/3/30/navmenu.php?tab=3&page=5.0.0. Accessed 11 Jan 2016

  • Flannigan MD, Stocks BJ, Wotton BM (2000) Climate change and forest fires. Sci Total Environ 262:221–229

    Article  PubMed  CAS  Google Scholar 

  • Flannigan M, Cantin AS, De Groot WJ, Wotton M, Newbery A, Gowman LM (2013) Global wildland fire season severity in the 21st century. For Ecol Manag 294:54–61

    Article  Google Scholar 

  • GeoSTAC (2014) Geospatial training and analysis cooperative—wildland fires: topography [online]. http://geology.isu.edu/geostac/Field_Exercise/wildfire/topography.htm. Accessed 15 Jan 2014

  • Harris LM, McGee TK, McFarlane BL (2011) Implementation of wildfire risk management by local governments in Alberta, Canada. J Environ Plan Manag 54(4):457–475

    Article  Google Scholar 

  • Iliadis LS (2005) A decision support system applying an integrated fuzzy model for long-term forest fire risk estimation. Environ Model Softw 20:613–621

    Article  Google Scholar 

  • Jaiswal RK, Mukherjee S, Raju KD, Saxena R (2002) Forest fire risk zone mapping from satellite imagery and GIS. Int J Appl Earth Obs Geoinf 4:1–10

    Article  Google Scholar 

  • Kaloudis S, Tocatlidou A, Lorentzos NA, Sideridis AB, Karteris M (2005) Assessing wildfire destruction danger: a decision support system incorporating uncertainty. Ecol Model 181:25–38

    Article  Google Scholar 

  • Lapucci A, Lombardo S, Petri M, Santucci A (2005) A KDD based multicriteria decision making model for fire risk evaluation. In: Conference proceedings on 8th AGILE conference on GIScience. Association Geographic Information Laboratories Europe. 26–28 May 2005. Estoril, Portugal

  • MacKay G, Jan N (1984) Forest fires as critical phenomena. J Phys A Math Gen 17:757–760

    Article  Google Scholar 

  • Massada AB, Radeloff VC, Stewart SI, Hawbaker TJ (2009) Wildfire risk in the wildland–urban interface: a simulation study in northwestern Wisconsin. For Ecol Manag 258:1990–1999

    Article  Google Scholar 

  • Moreno JM (2014) Forest fires under climate, social and economic changes in Europe, the Mediterranean and other fire-affected areas of the world. FUME. Lessons learned and outlook (Project available from http://fumeproject.uclm.es/). Accessed 20 June 2015

  • National Interagency Fire Center (2013) Interagency standards for fire and fire aviation operations [online]. http://www.nifc.gov/PUBLICATIONS/redbook/2013/2013RedBook.pdf. Accessed 30 Jan 2013

  • Parisien MA, Kafka VG, Hirsch KG, Todd JB, Lavoie SG, Maczek PD (2005) Mapping wildfire susceptibility with the BURN-P3 simulation model. Natural Resources Canada, Canadian Forest Service, Northern Forestry Center, Edmonton, Alberta. Information Report NOR-X-405

  • Parisien MA, Parks SA, Miller C, Krawchuk MA, Heathcott M, Moritz MA (2011) Contributions of ignitions, fuels, and weather to the spatial patterns of burn probability of a boreal landscape. Ecosystems 14:1141–1155

    Article  Google Scholar 

  • Parisien MA, Walker GR, Little JM, Simpson BN, Wang X, Perrakis DDB (2013) Considerations for modeling burn probability across landscapes with steep environmental gradients: an example from the Columbia Mountains, Canada. Nat Hazards 66:439–462

    Article  Google Scholar 

  • Paz S, Carmel Y, Jahshan F, Shoshany M (2011) Post-fire analysis of pre-fire mapping of fire-risk: a recent case study from Mt. Carmel (Israel). For Ecol Manag 262:1184–1188

    Article  Google Scholar 

  • Power CJ (2006) A spatial decision support system for mapping bushfire hazard potential using remotely sensed data. In: Conference proceedings of life in a fire-prone environment: translating science into practice—Bushfire conference, 6–9 June 2006, Brisbane, Australia

  • Sakellariou S, Samara F, Tampekis S, Christopoulou O, Sfougaris A (2017a) Optimal number and location of watchtowers for immediate detection of forest fires in a small island. Int J Agric Environ Inf Syst 8(4):1–19

    Article  Google Scholar 

  • Sakellariou S, Tampekis S, Samara F, Sfougaris A, Christopoulou O (2017b) Review of state-of-the-art decision support systems (DSSs) for prevention and suppression of forest fires. J For Res 28(6):1107–1117

    Article  CAS  Google Scholar 

  • Scott JH, Burgan RE (2005) Standard fire behavior fuel models: a comprehensive set for use with Rothermel’s surface fire spread model. Gen. Tech. Rep. RMRS-GTR-153. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. 72 p

  • Sharma LK, Kanga S, Nathawat MC, Sinha S, Pandey PC (2012) Fuzzy AHP for forest fire risk modeling. Disaster Prev Manag 21(2):160–171

    Article  Google Scholar 

  • Sivrikaya F, Saglam B, Akay AE, Bozali N (2013) Evaluation of forest fire risk with GIS. Pol J Environ Stud 23(1):187–194

    Google Scholar 

  • Stergiadou A, Valese E, Lubello D (2007) Detailed cartography system of fuel types for preventing forest fires. In: Conference proceedings of 6th international workshop of the EARSeL special interest group on forest fires. Advances in remote sensing and GIS applications in forest fire management. Towards an operational use of remote sensing in forest fire management. 27–29 September 2007, Thessaloniki—Greece

  • Suryabhagavan KV, Alemu M, Balakrishnan M (2016) GIS-based multi-criteria decision analysis for forest fire susceptibility mapping: a case study in Harenna forest, southwestern Ethiopia. Trop Ecol 57(1):33–43

    Google Scholar 

  • Syphard AD, Radeloff VC, Keuler NS, Taylor RS, Hawbaker TJ, Stewart SI, Clayton MK (2008) Predicting spatial patterns of fire on a southern California landscape. Int J Wildland Fire 17:602–613

    Article  Google Scholar 

  • Thompson M, Calkin D (2011) Uncertainty and risk in wildland fire management: a review. J Environ Manag 92:1895–1909

    Article  Google Scholar 

  • Thompson MP, Ager AA, Finney MA, Calkin DE, Vaillant NM (2012) The science and opportunity of wildfire risk assessment [online]. http://www.intechopen.com/books/novel-approaches-and-their-applications-in-risk-assessment/advancements-in-integrated-wildfire-risk-assessment https://doi.org/10.5772/38210. Accessed 20 Sept 2013, Chapter 6: pp. 99–120 in the book «Novel Approaches and Their Applications in Risk Assessment», Edited by Yuzhou Luo, ISBN 978-953-51-0519-0, Publisher: InTech, Chapters published April 20, 2012 under CC BY 3.0 license, https://doi.org/10.5772/2548

  • Toukiloglou P, Eftychidis G, Gitas I, Tompoulidou M (2013) ArcFuel methodology for mapping forest fuels in Europe. In: First international conference on remote sensing and geoinformation of the environment (RSCy2013), vol 8795, p 87951 J. International Society for Optics and Photonics

  • Vadrevu KP, Eaturu A, Badarinath KVS (2010) Fire risk evaluation using multicriteria analysis—a case study. Environ Monit Assess 166:223–239

    Article  PubMed  Google Scholar 

  • Weber MG, Stocks BJ (1998) Forest fires and sustainability in the boreal forests of Canada. Ambio 7(7):545–550

    Google Scholar 

  • Wenhua L (2004) Degradation and restoration of forest ecosystems in China. For Ecol Manag 01(1):33–41

    Article  Google Scholar 

  • WWF (2008) A sustainable future for the Greek forests. A recommendation for substantial amelioration of firefighting system from forest fires. WWF Hellas, Athens (In Greek)

    Google Scholar 

  • www.calfire.ca.gov (2017). Fire prevention [online]. http://calfire.ca.gov/fire_prevention/fire_prevention. Accessed 12 Apr 2017

  • www.nfpa.org (2017) National Fire Protection Association: public education [online]. http://www.nfpa.org/public-education/by-topic/wildfire-and-seasonal-fires/wildland-fires/wildfire-safety-tips. Accessed 21 Apr 2017

  • www.ontario.ca (2017) Forest fires—safety information [online]. https://www.ontario.ca/page/forest-fires-safety-information. Accessed 9 Apr 2017

  • www.readyforwildfire.org (2017) Prepare for wildfire [online]. http://www.readyforwildfire.org/Wildfire-Action-Plan/. Accessed 9 Apr 2017

  • www.ready.gov (2017) Wildfires [online]. https://www.ready.gov/wildfires. Accessed 12 Apr 2017

  • Xanthopoulos G (2009) Guide for environment, forest protection and fire fighting. WWF Hellas, Athens (in Greek)

    Google Scholar 

Download references

Acknowledgements

The authors would like to thank Research Scientist Bill de Groot (Canadian Forest Service) for his contribution to the section of the estimated fire behavior of fuels as well as the anonymous reviewers for their useful comments.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to S. Sakellariou.

Additional information

Project funding: Significant part of this research was co-financed by the European Union (European Social Fund-ESF) and Greek national funds through the Operational Program “Education and Lifelong Learning” of the National Strategic Reference Framework (NSRF)— Research Funding Program: Thales. Investing in knowledge society through the European Social Fund.

The online version is available at http://www.springerlink.com

Corresponding editor: Hu Yanbo.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Sakellariou, S., Tampekis, S., Samara, F. et al. Determination of fire risk to assist fire management for insular areas: the case of a small Greek island. J. For. Res. 30, 589–601 (2019). https://doi.org/10.1007/s11676-018-0666-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11676-018-0666-x

Keywords

Navigation