Using GIS-based multi-criteria decision support system for developing storm damage risk map

Yıl 2023, Cilt: 4 Sayı: 1, 7 - 13, 27.06.2023

İnanç Taş , Abdullah Emin Akay

Öz

Winter storm damages have crucial effect on different tree species and cause significant losses in many regions in Turkey. In a winter storm, trees can break or be thrown if stem and root plates overturn. The most important factors affecting the severity of damage caused by storms on forest trees are tree species, tree age (stage), crown closure, topographic features (elevation, slope), and climate parameters (wind, precipitation). Coniferous species are more susceptible to storms than deciduous species. The storm damage impact on trees increases with tree age and the density of the stand. Although the storm damage is lower at low altitudes (<150 m), the damage increases up to a certain altitude (1000 m) and decreases again at higher elevations. The highest risk of storm damage is in the middle (20-30%) slope groups, while the damage is lower in the low and steep slope groups. Wind speed and direction are climate parameters affecting forest tree storm damage. Pre-storm precipitation causes the soil to loosen and especially contributes to the formation of storm overturns. In order to prevent or minimize storm damage, it is of great importance to develop storm damage maps based on the factors that impact the storm damage. In this study, a storm damage risk map was produced using a GIS-based multi-criteria (Analytical Hierarchy Process-AHP) decision support system considering, tree species, tree age, crown closure, elevation, slope, wind speed and direction, and precipitation. The study implemented in Karadag Forest Enterprise Chief in Karacabey province of Bursa. The results indicated that the most effective risk factor was wind speed and wind direction, followed by the slope.

Anahtar Kelimeler

Winter storm damage, storm risk map, GIS, AHP.

Kaynakça

• Çanakçıoğlu, H. (1993) Forest protection. Istanbul University Faculty of Forestry Publication No: 3624/411 ISBN 975-404-199-7 İstanbul, 633 p (in Turkish)
• Lekes, V. & Dandul, I., (2000). Using airflow modeling and spatial analysis for defining wind damage risk classification (WINDARC). For. Ecol. and Manage., 135, 331-344.
• Mitchell, S.J. (2000). Stem growth response in Douglas-fir and Sitka spruce following thinning: Implications for assessing wind-firmness. For. Ecol. Manage., 135, 105-114.
• Moore, J.R. & Somerville, A. (1998). Assessing the risk of wind damage to plantation forests in New Zealand. N.Z. For. 43, 25-29.
• Saaty, T.L. 1977. A scaling method for priorities in hierarchical structures. J Math Psychol. 15: pp. 234-281.
• Schmoeckel, J. & Kottmeler, C. (2008). Storm damage in the Black Forest caused by winter storm “Lothar”-Part 1: Airborne damage assessment, Hazards Earth Syst. Sci.,8, 795-803.
• Schütz, J.-P., Götz, M., Schmid, W., Mandallaz, D. (2006). Vulnerability of spruce (Picea abies) and beech (Fagus sylvatica) forest stands to storms and consequences for silviculture, Eur. J. Forest Res., 125, 291–302.
• Taş, İ. (2017). Developing the risk map of winter storm hazard using GIS based fuzzy logic method, MSc. Thesis, Bursa Technical University. Bursa. 79 p.