Natural Hazards

, Volume 65, Issue 1, pp 545–561 | Cite as

Planning and assessing the effectiveness of traditional silvicultural treatments for mitigating wildfire hazard in pine woodlands of Greece

  • Th. Zagas
  • D. Raptis
  • D. Zagas
  • D. Karamanolis
Original Paper


In the current paper, an attempt is being made to present and assess the effectiveness of traditional silvicultural treatments in mitigating wildfire initiation and spread, in a typical Mediterranean forest which is located in Vartholomio, southern Greece. The proposed silvicultural interventions combine thinning and pruning, in various levels of intensity at strategic points creating shaded fuelbreaks, in order to successfully support wildfire suppression actions. NEXUS software was applied in an effort to assess the effectiveness of the proposed silvicultural treatments. The results clearly showed that conventional silvicultural treatments may drastically reduce critical characteristics of a potential wildfire. The number of historic ignitions and the flammability of the forest species reveal the vulnerability of the specific forest against wildfire occurrences. On the contrary, its protective role against desertification is of paramount importance; thus, the minimization of wildfire threat constitutes a priority action.


Silviculture Wildfire hazard Sand dunes Fire protection Peloponnesus NEXUS 


  1. Agee JK, Lolley MR (2006) Thinning and prescribed fire effects on fuels and potential fire behavior in an eastern Cascades forest, Washington, USA. Fire Ecol 2:142–158. doi: 10.4996/fireecology.0202003 CrossRefGoogle Scholar
  2. Agee JK, Skinner CN (2005) Basic principles of forest fuel reduction treatments. For Ecol Manage 211:83–96. doi: 10.1016/j.foreco.2005.01.034 CrossRefGoogle Scholar
  3. Agee JK, Bahro B, Finney MA, Omi PN, Sapsis DB, Skinner CN, van Wagtendonk JW, Weatherspoon CP (2000) The use of shaded fuelbreaks in landscape fire management. For Ecol Manage 127:55–66. doi: 10.1016/S0378-1127(99)00116-4 CrossRefGoogle Scholar
  4. Albini FA (1976) Estimating wildfire behavior and effects. General technical report INT-30, USDA forest service, intermountain forest and range experiment station, Ogden, p 92Google Scholar
  5. Alexander ME (1988) Help with making crown fire hazard assessments. In: Fischer WC, Arno SF (compilers) Protecting people and homes from wildfire in the Interior West. General technical report INT-251, USDA Forest Service, pp 147–156Google Scholar
  6. Andrews PL (2012) Modeling wind adjustment factor and midflame wind speed for Rothermel’s surface fire spread model. General technical report RMRS-GTR-266, USDA Forest Service, Rocky Mountain Research Station, Fort Collins, p 39Google Scholar
  7. Badia A, Saur D, Cerdan R, Llurdes JC (2002) Causality and management of forest fires in Mediterranean environments: an example from Catalonia. Environ Hazards 4:23–32CrossRefGoogle Scholar
  8. Boschetti L, Roy D, Barbosa P, Boca R, Justice C (2008) A MODIS assessment of the summer 2007 extent burned in Greece. Int J Remote Sens 29:2433–2436. doi: 10.1080/01431160701874561 CrossRefGoogle Scholar
  9. Dimitrakopoulos AP (2002) Mediterranean fuel models and potential fire behavior in Greece. Int J Wildland Fire 11:127–130. doi: 10.1071/WF02018 CrossRefGoogle Scholar
  10. Dimitrakopoulos AP, Panov P (1998) Chemical and physical fuel parameters of Mediterranean vegetation. In: Proceedings, III international conference on forest fire research and 14th conference on fire and forest meteorology, Luso, vol II, pp 2579–2586Google Scholar
  11. Duguy B, Alloza JA, Röder A, Vallejo R, Pastor F (2007) Modelling the effects of landscape fuel treatments on fire growth and behaviour in a Mediterranean landscape (eastern Spain). Int J Wildland Fire 16:619–632. doi: 10.1071/WF06101 CrossRefGoogle Scholar
  12. Fernandes PM, Loureiro C, Botelho HS (2004) Fire behaviour and severity in a maritime pine stand under differing fuel conditions. Ann For Sci 61:537–544. doi: 10.1051/forest:2004048 CrossRefGoogle Scholar
  13. Finney MA (2004) FARSITE: fire area simulator—model development and evaluation. Research paper RMRS-RP-4, USDA Forest Service, Rocky Mountain Research Station, Ogden, p 47Google Scholar
  14. Forestry Canada Fire Danger Group (1992) Development and structure of the Canadian forest fire behavior prediction system. Inf Rep ST-X-3Google Scholar
  15. Fulé PZ, McHugh C, Heinlein TA, Covington WW (2001) Potential fire behavior is reduced following forest restoration treatments. In: Vance RK, Edminster CB, Covington WW, Blake TA (eds) Ponderosa pine ecosystems restoration and conservation: steps toward stewardship. Proceedings RMRS-22, USDA Forest Service, Ogden, pp 22–28Google Scholar
  16. Graham RT, Harvey AE, Jain TB, Tonn JR (1999) The effects of thinning and similar stand treatments on fire behavior in western forests. General technical report PNW-GTR-463, USDA Forest Service, Pacific Northwest Research Station, p 27Google Scholar
  17. Graham RT, McCaffrey SJ, Theresa B (tech. eds) (2004) Science basis for changing forest structure to modify wildfire behavior and severity. General technical report RMRS-GTR-120, USDA Forest Service, Rocky Mountain Research Station, Fort Collins, p 43Google Scholar
  18. Green LR (1977) Fuelbreaks and other fuel modification for wildland fire control. USDA Agr., Hdbk, p 499Google Scholar
  19. Hall SA, Burke IC (2006) Considerations for characterizing fuels as inputs for fire behavior models. For Ecol Manage 227:102–114. doi: 10.1016/j.foreco.2006.02.022 CrossRefGoogle Scholar
  20. Harrington MG, Noonan-Wright E, Doherty M (2006) Testing the modeled effectiveness of an operational fuel reduction treatment in a small western Montana interface landscape using two spatial scales. In: Andrews PL, Butler BW (eds) Fuels management—how to measure success: conference proceedings, 28–30 March 2006, Portland. Proceedings RMRSP 41, USDA Forest Service, Rocky Mountain Research Station, Fort Collins, pp 301–314Google Scholar
  21. Huggett RJ, Abt KL, Shepperd W (2008) Efficacy of mechanical fuel treatments for reducing wildfire hazard. For Policy Econ 10:408–414. doi: 10.1016/J.FORPOL.2008.03.003 CrossRefGoogle Scholar
  22. Kalabokidis KD, Omi PN (1992) Quadrat analysis of wildland fuel spatial variability. Int J Wildland Fire 2(4):145–152. doi: 10.1071/WF9920145 CrossRefGoogle Scholar
  23. Kalabokidis KD, Omi PN (1998) Reduction of fire hazard through thinning/residue disposal in the urban interface. Int J Wildland Fire 8(1):29–35. doi: 10.1071/WF9980029 CrossRefGoogle Scholar
  24. Küçük Ö, Bilgili E, Sağlam B (2008) Estimating crown fuel loading for calabrian pine and Anatolian black pine. Int J Wildland Fire 17:1–8. doi: 10.1071/WF06092 CrossRefGoogle Scholar
  25. Leblon B (2005) Monitoring forest fire danger with remote sensing. Nat Hazards 35:343–359. doi: 10.1007/s11069-004-1796-3 CrossRefGoogle Scholar
  26. Liodakis S, Kakardakis T (2006) Measuring the particle flammability of forest species from Wildland/Urban interface (WUI) near Athens by thermal analysis. In: The first international symposium on environment identities and Mediterranean, AreaCorte-Ajaccio, July 10–13, 2006Google Scholar
  27. Loureiro C, Fernandes P, Botelho H (2006) A simulation-based test of a landscape fuel management project in the Maraõ range of northern Portugal. For Ecol Manag 234S:S245. doi: 10.1016/j.foreco.2006.08.274 CrossRefGoogle Scholar
  28. Martinson EJ, Omi PN (2006) Assessing mitigation of wildfire severity by fuel treatments—an example from the coastal plain of Mississippi. In: Andrews PL, Butler BW (eds) Fuels management—how to measure success: conference proceedings, 28–30 March 2006, Portland. Proceedings RMRSP 41, USDA Forest Service, Rocky Mountain Research Station, Fort Collins pp 429–439Google Scholar
  29. Mason GJ, Baker TT, Cram DS, Boren JC, Fernald AG, VanLeeuwen DM (2007) Mechanical fuel treatment effects on fuel loads and indices of crown fire potential in a south central New Mexico dry mixed conifer forest. For Ecol Manage 251:195–204. doi: 10.1016/J.FORECO.2007.06.006 CrossRefGoogle Scholar
  30. McGaughey ΡJ (2004) Stand visualization system, Version 3.3. USDA Forest Service. Pacific Northwest Research Station, p 141Google Scholar
  31. Mitsopoulos ID, Dimitrakopoulos AP (2007) Allometric equations for crown fuel biomass of Aleppo pine (Pinus halepensis Mill.) in Greece. Int J Wildland Fire 16:642–647. doi: 10.1071/WF06038 CrossRefGoogle Scholar
  32. Molina JR, Rodriguez y Silva F, Herrera MA (2011) Potential crown fire behaviour in Pinus pinea stands following different fuel treatments. For Syst 20:266–277. doi: 10.5424/fs/2011202-10923 Google Scholar
  33. Ne’eman G, Goubitz S, Nathan R (2004) Reproductive traits of Pinus halepensis in the light of fire—a critical review. Plant Ecol 171:69–79. doi: 10.1023/B:VEGE.0000029380.04821.99 CrossRefGoogle Scholar
  34. Nyland RD (1996) Silviculture: concepts and applications. McGraw-Hill, New YorkGoogle Scholar
  35. Ottmar RD, Vihnanek RE, Wright CS (1998) Stereo photo series for quantifying natural fuels. Volume I: mixed-conifer with mortality, western juniper, sagebrush, and grassland types in the Interior Pacific Northwest. In: National Fire Equipment System Publication NFES 2580Google Scholar
  36. Peterson DL, Johnson MC, Agee JK, Jain TB, McKenzie D, Reinhardt ED (2005) Forest structure and fire hazard in the western United States. General technical report PNW-GTR-628, USDA Forest ServiceGoogle Scholar
  37. Piñol J, Terradas J, Lloret F (1998) Climatic warming hazard, and wildfire occurrence in coastal eastern Spain. Clim Chang 38:345–357. doi: 10.1023/A:1005316632105 CrossRefGoogle Scholar
  38. Raymond CL, Peterson DL (2005) Fuel treatments alter the effects of wildfire in a mixed-evergreen forest, Oregon, USA. Can J For Res 35:2981–2995. doi: 10.1139/X05-206 CrossRefGoogle Scholar
  39. Roccaforte JP, Fulé PZ, Covington WW (2008) Landscape-scale changes in canopy fuels and potential fire behavior following ponderosa pine restorations treatments. Int J Wildland Fire 17:293–303. doi: 10.1071/WF06120 CrossRefGoogle Scholar
  40. Rothermel RC (1972) A mathematical model for predicting fire spread in wildland fuels. Research paper INT-115, USDA Forest Service, Intermountain Forest and Range Experiment Station, Ogden, p 40Google Scholar
  41. Rothermel RC (1991) Predicting behavior and size of crown fires in the Northern Rocky Mountains. Research paper INT-438, USDA Forest Service, Intermountain Research Station, p 46Google Scholar
  42. Ryan KC (2002) Dynamic interactions between forest structure and fire behavior in boreal ecosystems. Silva Fennica 36:13–39 (ISSN 0037-5330)Google Scholar
  43. Scott JH (1998) Fuel reduction in residential and scenic forests: a comparison of three treatments in a western Montana ponderosa pine stand. Research paper RMRS-RP-5, USDA Forest Service, Rocky Mountain Research Station, Ogden, p 19Google Scholar
  44. Scott JH (1999) NEXUS: a system for assessing crown fire hazard. Fire Manage Notes 59:20–24Google Scholar
  45. Scott JH (2006) Comparison of crown fire modeling systems used in three fire management applications. Research paper RMRS-RP-58, USDA Forest Service, Rocky Mountain Research Station, Fort Collins, p 25Google Scholar
  46. Scott JH, Reinhardt ED (2001) Assessing crown fire potential by linking models of surface and crown fire potential. Research paper RMRS-29, USDA Forest Service, Rocky Mountain Research Station, Fort Collins, p 59Google Scholar
  47. Silva JS, Fernandes PAM, Vasconcelos J (2000) The effect on surface fuels and fire behavior of thinning a Pinus pinaster stand in central Portugal. In: Neuenschwander LF, Ryan KC, Gollberg GE (eds) Joint fire science conference and workshop proceedings: ‘crossing the millennium: integrating spatial technologies and ecological principles for a new age in fire management’. Boise, University of Idaho and the International Association of Wildland Fire, Moscow and Fairfield, vol II, pp 275–277.
  48. Skog KE, Barbour RJ, Abt KL, Bilek EM (Ted) In: Burch F, Fight RD, Hugget RJ, Miles PD, Reinhardt ED, Sheppard WD (2006) Evaluation of silvicultural treatments and biomass use for reducing fire hazard in Western States. Research paper FPL-RP-634, USDA Forest Service, Forest Products Laboratory, Madison, p 30Google Scholar
  49. Stephens SL (1998) Evaluation of the effects of silvicultural and fuel treatments on potential fire behavior in Sierra Nevada mixed-conifer forests. For Ecol Manage 105:21–35. doi: 10.1016/S0378-1127(97)00293-4 CrossRefGoogle Scholar
  50. Stephens SL, Moghaddas JJ (2005a) Silvicultural and reserve impacts on potential fire behavior and forest conservation: twenty-five years of experience from Sierra Nevada mixed conifer forests. Biol Conserv 125:369–379. doi: 10.1016/j.biocon.2005.04.007 CrossRefGoogle Scholar
  51. Stephens SL, Moghaddas JJ (2005b) Experimental fuel treatment impacts on forest structure, potential fire behavior, and predicted tree mortality in a California mixed conifer forest. For Ecol Manage 215:21–36. doi: 10.1016/j.foreco.2005.03.070 CrossRefGoogle Scholar
  52. Stratton RD (2004) Assessing the effectiveness of landscape fuel treatments on fire growth and behavior. J For 102:32–40Google Scholar
  53. Tsitsoni T, Ganatsas P, Zagas T, Tsakaldimi M (2004) Dynamics of postfire regeneration of Pinus brutia Ten. in an artificial forest ecosystem of northern Greece. Plant Ecol 171:165–174. doi: 10.1023/B:VEGE.0000029385.60590.fc CrossRefGoogle Scholar
  54. USDA (2003) Influence of forest structure on wildfire behavior and the severity of its effects. An overview. USDA Forest Service, Washington, DCGoogle Scholar
  55. Vaillant NM, Fites-Kaufman J, Reiner AL, Noonan-Wright EK, Dailey SN (2009) Effect of fuel treatments on fuels and potential fire behavior in California, USA, National Forests. Fire Ecol 5:14–29. doi: 10.4996/FIREECOLOGY.0502014 CrossRefGoogle Scholar
  56. Van Wagner CE (1973) Height of crown scorch in forest fires. Can J For Res 3:373–378. doi: 10.1139/x73-055 CrossRefGoogle Scholar
  57. Van Wagner CE (1977) Conditions for the start and spread of crown fire. Can J For Res 7:23–34. doi: 10.1139/x77-004 CrossRefGoogle Scholar
  58. van Wagtendonk JW (1996) Use of a deterministic fire model to test fuel treatments. In: Sierra Nevada Ecosystem Project: final report to congress, vol II. Centers for water and wildland resources, University of California, Davis, pp 1155–1167Google Scholar
  59. Vélez R (1982) Fire effects and fuel management in Mediterranean ecosystems in Spain. In: Conrad CE, Oechel WC (Technical coordinators) Dynamics and management of the Mediterranean-type ecosystems. Proceedings of the symposium, 22–26 June 1981, at San Diego. General technical report, PSW-58, USDA Foest Service, pp 458–463Google Scholar
  60. Weatherspoon CP (1996) Fire-silviculture relationships in Sierra forests. In: Sierra Nevada Ecosystem Project: final report to congress, vol II. Centers for water and wildland resources, University of California, Davis, pp 1167–1176Google Scholar
  61. Wilson JS, Baker PJ (1998) Mitigating fire risk to late-successional forest reserves on the east slope of the Washington Cascade Range, USA. For Ecol Manage 110:59–75. doi: 10.1016/S0378-1127(98)00274-6 CrossRefGoogle Scholar
  62. Xanthopoulos G, Caballero D, Galante M, Alexandrian D, Rigolot E, Marzano R (2006) Forest fuel management in Europe. In: Andrews PL, Butler BW (eds) Fuels management—how to measure success: conference proceedings, 28–30 March 2006, Portland. Proceedings RMRSP 41, USDA Forest Service, Rocky Mountain Research Station, Fort Collins, pp. 29–46Google Scholar
  63. Zagas T, Hatzistathis A, Tsitsoni T, Ganatsas P (1998) Degradation of Mediterranean forest ecosystems and silvicultural measures for their restoration. In: Giannias DA (ed) European Environmental Research, East–West Press: series in economics, business and the environment, vol 1, no 2, Athens, pp 53–60Google Scholar

Copyright information

© Springer Science+Business Media B.V. 2012

Authors and Affiliations

  • Th. Zagas
    • 1
  • D. Raptis
    • 1
  • D. Zagas
    • 2
  • D. Karamanolis
    • 2
  1. 1.Laboratory of Silviculture, School of Forestry and Natural EnvironmentAristotle University of ThessalonikiThessaloníkiGreece
  2. 2.Laboratory of Forest Management and Remote Sensing, School of Forestry and Natural EnvironmentAristotle University of ThessalonikiThessaloníkiGreece

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