Research Article
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Year 2019, Volume: 5 Issue: 1, 25 - 35, 29.06.2019
https://doi.org/10.33904/ejfe.579075

Abstract

References

  • Akay, A.E., Erdas, O., Kanat, M., Tutus, A., 2007. Post-Fire Salvage Logging for Fire-Killed Brutian Pine (Pinus brutia) Trees. Journal of Applied Sciences 7(3):402-406.
  • Akay, A.E., Wing, G.M., Sivrikaya, F., Sakar, D. 2012. A GIS-based decision support system for determining the shortest and safest route to forest fires: a case study in Mediterranean Region of Turkey. Environmental Monitoring and Assessment, 184(3):1391-1407.
  • Akay, A.E., Wing, M.G., Zengin, M., Köse, O., 2017. Determination of fire-access zones along road networks in fire sensitive forests. J. For. Res., 28(3):557–564.
  • Akay, A.E., Erdoğan, A. 2017. GIS-based Multi-criteria Decision Analysis for Forest Fire Risk Mapping. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume IV-4/W4, 2017 4th International GeoAdvances Workshop, 14–15 October, Safranbolu, Karabuk, Turkey.
  • Anonymous 1. Forest fire data. Milas Forest Enterprise Directorate, Muğla Forest Regional Directorate, Muğla.
  • Başaran, M.A., Sarıbaşak, H., Çamalan, İ. 2007. Using Geographical Information System in Determination of Fire Risk and Danger Classes. Bottlenecks, Solutions, and Priorities in the Context of Functions of Forest Resources Symposium. 17-19 October, Istanbul.
  • Bilgili, E., 2003. Stand Development and Fire Behavior. Forest Ecol. Manag. 179:333-339.
  • Bilici, E., 2009. A Study on the Integration of Firebreaks and Fireline with Forest Roads Networks and It's Planning and Construction (A Case Study of Gallipoly National Park) Istanbul University. Faculty of Forestry Journal Series: A 59(2):86-102.
  • Carmel, Y., Paz, S., Jahashan, F., Shoshany, M., 2009. Assessing fire risk using Monte Carlo simulations of fire spread. Forest Ecol. Manag. 257(1):370-377.
  • Çanakçioğlu, H. 1993. Forest Conservation. Istanbul University Press, Faculty of Forestry Press: Istanbul.
  • Demir, M., Kucukosmanoglu, A., Hasdemir, M., Ozturk, T., Acar, H.H., 2009. Assessment of forest roads and firebreaks in Turkey. African Journal of Biotechnology, 8(18):4553-4561.
  • Erten, E., Kurgun, V., Musaoglu, N., 2004. Forest Fire Risk Zone Mapping from Satellite Imagery and GIS a Case Study. XXth ISPRS Congress, Youth Forum, Editor(s): Orhan Altan, July 12-23, Istanbul, Turkey.
  • Ertuğrul, M. 2005. The Situation of Forest Fires in the World and in Turkey. ZKÜ Bartın Faculty of Forestry Journal. 7(7):43-50.
  • Gao, X., Fei, X., Xie, H., 2011. Forest fire risk zone evaluation based on high spatial resolution RS image in Liangyungang Huaguo Mountain Scenic Spot. IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services. Fuzhou, China.
  • Gazzard, R., 2012. Risk Management Control Measure: Toolkit for Practitioners and Advisors. UK Vegetation Fire Risk Management. 24 p.
  • GDF, 2016. General Diectorate of Forest, Official Statistics,https://www.ogm.gov.tr/ekutuphane/Istatistikler/ Ormancılık (Last axcess: 15 May 2019)
  • Gülci, N. 2014. Researches on precision forestry in forest planning. Ph.D. thesis, KSU, Kahramanmaraş. 264 p. Jaiswal, R.K., Mukherjee, S., Raju, D.K., Saxena, R., 2002. Forest fire risk zone mapping from satellite imagery and GIS. Int Journal of Applied Earth Observation and Geoinformation, 4(2002):1-10.
  • Küçük Ö., Bilgili, E., Durmaz, B.D., Sağlam, B., Baysal, İ. 2009. The Effect Factors on Transition from Surface Fire to Crown Fire. Kastamonu Univ., Journal of Forestry Faculty, 9(2):80-85.
  • Lin, J., Sergio, R., 2009. A derivation of the statistical characteristics of forest fires. Ecological Modelling 220:898-903.
  • Myers, J.H., Alpert, M.I., 1968. Determinant Buying Attitudes: Meaning and Measurement, Journal of Marketing, 32:13-20.
  • Özelkan, E. 2008 Risk Assessment Of Forest Fire By Using Satellite Data, Kaş Sample. Master Thesis. İstanbul Technical University, Institute of Informatics, İstanbul. 71 s.
  • Özşahin, E. 2014. Forest Fire Susceptibility Analysis Using GIS and AHP: The Case of Antakya Forestry Operation Directorate. Route Educational and Social Science Journal, 1(3):50-71.
  • Saaty, T.L., 1977. A scaling method for priorities in hierarchical structures. J Math Psychol. 15:234-281.
  • Sağlam, B., Bilgili, E., Durmaz, B.D., Küçük, Ö., Kadıoğulları, A.İ., Küçük, Ö., 2008. Spatio-temporal analysis of forest fire risk and danger using LANDSAT imagery, Sensors, 8:3970-3987.
  • Sivrikaya, F., Akay, A.E., Oğuz, H., Yenilmez, N. 2011. Mapping Forest Fire Danger Zones Using GIS: A Case Study from Kahramanmaraş. 6th International Symposium on Ecology and Environmental Problems. 17-20 November, Antalya.

Forest Fire Risk Mapping by using GIS Techniques and AHP Method: A Case Study in Bodrum (Turkey)

Year 2019, Volume: 5 Issue: 1, 25 - 35, 29.06.2019
https://doi.org/10.33904/ejfe.579075

Abstract



In Turkey, forest areas
located along the coastline of the Marmara, the Aegean and the Mediterranean
regions are very sensitive to fire. As a result of forest fires, about 10000 hectares
of forest area is damaged annually. One of the key elements in firefighting is
early detection and quick intervention. In order to achieve this goal, first of
all, the forest areas with fire risk should be determined especially for fire
sensitive forest areas. The forest fire risk can be evaluated considering
various risk factors such as stand structures,
topographic factors, proximity to some features (roads, settlements, and water
resources), and climatic factors. In this study, GIS techniques and
Analytic Hierarchy Process (AHP) method was used to produce forest fire risk
map for the first degree fire sensitive forest land located in Bodrum province
of Muğla in Turkey. The results indicated that 11.83%
and 21.98% of the forest area was categorized as very high and high fire risk,
respectively, while 22.28% and 25.93% was moderate and low fire risk,
respectively. The fire risk was found to be very low at the rest of the study
area (17.98%). To compare the fire risk map with actual forest fire occurrences
in the study area, it was overlapped with the fire map indicating forest
components where previous forest fires (>1.0 ha) occurred in the study area
in last five years. It was found that 38.32% of the areas damaged by the
previous fires were categorized as high and very high fire risks zones in fire
risk map, while 28.44% was moderate fire risk zones. The result
showed that tree species was the most effective risk factor, followed by tree
stages and proximity to water resources. This study revealed that
the combination of GIS techniques and AHP method is very advantageous approach
to map forest areas with fire risk in short time.  



References

  • Akay, A.E., Erdas, O., Kanat, M., Tutus, A., 2007. Post-Fire Salvage Logging for Fire-Killed Brutian Pine (Pinus brutia) Trees. Journal of Applied Sciences 7(3):402-406.
  • Akay, A.E., Wing, G.M., Sivrikaya, F., Sakar, D. 2012. A GIS-based decision support system for determining the shortest and safest route to forest fires: a case study in Mediterranean Region of Turkey. Environmental Monitoring and Assessment, 184(3):1391-1407.
  • Akay, A.E., Wing, M.G., Zengin, M., Köse, O., 2017. Determination of fire-access zones along road networks in fire sensitive forests. J. For. Res., 28(3):557–564.
  • Akay, A.E., Erdoğan, A. 2017. GIS-based Multi-criteria Decision Analysis for Forest Fire Risk Mapping. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume IV-4/W4, 2017 4th International GeoAdvances Workshop, 14–15 October, Safranbolu, Karabuk, Turkey.
  • Anonymous 1. Forest fire data. Milas Forest Enterprise Directorate, Muğla Forest Regional Directorate, Muğla.
  • Başaran, M.A., Sarıbaşak, H., Çamalan, İ. 2007. Using Geographical Information System in Determination of Fire Risk and Danger Classes. Bottlenecks, Solutions, and Priorities in the Context of Functions of Forest Resources Symposium. 17-19 October, Istanbul.
  • Bilgili, E., 2003. Stand Development and Fire Behavior. Forest Ecol. Manag. 179:333-339.
  • Bilici, E., 2009. A Study on the Integration of Firebreaks and Fireline with Forest Roads Networks and It's Planning and Construction (A Case Study of Gallipoly National Park) Istanbul University. Faculty of Forestry Journal Series: A 59(2):86-102.
  • Carmel, Y., Paz, S., Jahashan, F., Shoshany, M., 2009. Assessing fire risk using Monte Carlo simulations of fire spread. Forest Ecol. Manag. 257(1):370-377.
  • Çanakçioğlu, H. 1993. Forest Conservation. Istanbul University Press, Faculty of Forestry Press: Istanbul.
  • Demir, M., Kucukosmanoglu, A., Hasdemir, M., Ozturk, T., Acar, H.H., 2009. Assessment of forest roads and firebreaks in Turkey. African Journal of Biotechnology, 8(18):4553-4561.
  • Erten, E., Kurgun, V., Musaoglu, N., 2004. Forest Fire Risk Zone Mapping from Satellite Imagery and GIS a Case Study. XXth ISPRS Congress, Youth Forum, Editor(s): Orhan Altan, July 12-23, Istanbul, Turkey.
  • Ertuğrul, M. 2005. The Situation of Forest Fires in the World and in Turkey. ZKÜ Bartın Faculty of Forestry Journal. 7(7):43-50.
  • Gao, X., Fei, X., Xie, H., 2011. Forest fire risk zone evaluation based on high spatial resolution RS image in Liangyungang Huaguo Mountain Scenic Spot. IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services. Fuzhou, China.
  • Gazzard, R., 2012. Risk Management Control Measure: Toolkit for Practitioners and Advisors. UK Vegetation Fire Risk Management. 24 p.
  • GDF, 2016. General Diectorate of Forest, Official Statistics,https://www.ogm.gov.tr/ekutuphane/Istatistikler/ Ormancılık (Last axcess: 15 May 2019)
  • Gülci, N. 2014. Researches on precision forestry in forest planning. Ph.D. thesis, KSU, Kahramanmaraş. 264 p. Jaiswal, R.K., Mukherjee, S., Raju, D.K., Saxena, R., 2002. Forest fire risk zone mapping from satellite imagery and GIS. Int Journal of Applied Earth Observation and Geoinformation, 4(2002):1-10.
  • Küçük Ö., Bilgili, E., Durmaz, B.D., Sağlam, B., Baysal, İ. 2009. The Effect Factors on Transition from Surface Fire to Crown Fire. Kastamonu Univ., Journal of Forestry Faculty, 9(2):80-85.
  • Lin, J., Sergio, R., 2009. A derivation of the statistical characteristics of forest fires. Ecological Modelling 220:898-903.
  • Myers, J.H., Alpert, M.I., 1968. Determinant Buying Attitudes: Meaning and Measurement, Journal of Marketing, 32:13-20.
  • Özelkan, E. 2008 Risk Assessment Of Forest Fire By Using Satellite Data, Kaş Sample. Master Thesis. İstanbul Technical University, Institute of Informatics, İstanbul. 71 s.
  • Özşahin, E. 2014. Forest Fire Susceptibility Analysis Using GIS and AHP: The Case of Antakya Forestry Operation Directorate. Route Educational and Social Science Journal, 1(3):50-71.
  • Saaty, T.L., 1977. A scaling method for priorities in hierarchical structures. J Math Psychol. 15:234-281.
  • Sağlam, B., Bilgili, E., Durmaz, B.D., Küçük, Ö., Kadıoğulları, A.İ., Küçük, Ö., 2008. Spatio-temporal analysis of forest fire risk and danger using LANDSAT imagery, Sensors, 8:3970-3987.
  • Sivrikaya, F., Akay, A.E., Oğuz, H., Yenilmez, N. 2011. Mapping Forest Fire Danger Zones Using GIS: A Case Study from Kahramanmaraş. 6th International Symposium on Ecology and Environmental Problems. 17-20 November, Antalya.
There are 25 citations in total.

Details

Primary Language English
Subjects Engineering
Journal Section Research Articles
Authors

Abdullah Emin Akay 0000-0001-6558-9029

Halil Şahin This is me

Publication Date June 29, 2019
Published in Issue Year 2019 Volume: 5 Issue: 1

Cite

APA Akay, A. E., & Şahin, H. (2019). Forest Fire Risk Mapping by using GIS Techniques and AHP Method: A Case Study in Bodrum (Turkey). European Journal of Forest Engineering, 5(1), 25-35. https://doi.org/10.33904/ejfe.579075

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