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Factors Affecting the Behavior of Large Forest Fires in Turkey

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Abstract

Fire behavior should be estimated accurately and multidimensionally to reduce the dangers and harmful effects of forest fires and to develop effective fire management strategies. Therefore, in this study, the most important factors affecting fire behavior were determined by statistical methods using data of 59 large forest fires that occurred between 1977 and 2017 in Turkey. Some data were obtained from the General Directorate of Forestry, and the remaining were obtained from meteorological stations and Google Maps. The large forest fires were investigated with descriptive statistics. Correlation, regression with generalized models, and factor analyses were performed. It was discovered that the rate of spread is particularly related to the wind direction, wind speed, and stand canopy. The most important factors affecting the behavior of large forest fires were determined as (1) stand age, (2) stand canopy, (3) wind direction, (4) wind speed, (5) altitude, and (6) aspect, and 76% of fire behavior is linked to these factors. Moreover, a forest fire behavior index (FFBI) was developed for large forest fires. They were categorized into three classes using the FFBI, and the characteristics of each class were identified. Finally, the findings were discussed, and suggestions for fire management were presented.

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Acknowledgements

We would like to thank the staff of the General Directorate of Forestry for assisting the data collection.

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Authors and Affiliations

  1. Faculty of Forestry, Department of Forest Engineering, Bartın University, Bartın, Turkey

    İsmet Daşdemir & Mertol Ertuğrul

  2. Department of Fighting Forest Fires (Retired), General Directorate of Forestry, Ankara, Turkey

    Fuat Aydın

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  1. İsmet Daşdemir
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Correspondence to İsmet Daşdemir.

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Daşdemir, İ., Aydın, F. & Ertuğrul, M. Factors Affecting the Behavior of Large Forest Fires in Turkey. Environmental Management 67, 162–175 (2021). https://doi.org/10.1007/s00267-020-01389-z

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