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Fire sensitivity of broadleaf tree species in plantations of Kurdistan,Iran

Journal of Forestry Research 2021年第3期32卷 1167-1176页

作者： sabri baqer rasooli Shiva Rashidi Naghi Shabanian Department of Geography College of EducationUniversity of GarmianKalarKurdistan RegionIraq Department of Forestry Faculty of Natural ResourcesUniversity of KurdistanSanandajIran

To better manage wildfires and plantations in Kurdistan,native tree species commonly used in planting and reviving forests such as Quercus brantii Lindl.,Q.infectoria Olivier,Q.libani Olivier,Pistachio atlantica Desf.,Fraxinus rotundifolia Vahl,and Robinia pseudoacacia L.were evaluated and compared in terms of fire sensitivity and fire resistance.To determine fire sensitivity,indices such as the fl ammability index,ignition time,fl ame durability,moisture content,carbonized surface,mass reduction,bulk density,as well as dry weight of wood,bark,and leaves were used.The data were subjected to ANOVA.The means obtained,after examining homogeneity or heterogeneity of the variances,were compared using parametric and nonparametric comparison tests.There was a significant difference at the level of 5%.Based on the analysis of these indices,the species could be divided into three groups:species sensitive to fire such as Robinia pseudoacacia,species moderately sensitive to fire such as F.rotundifolia,and species relatively resistant to fire,including Q.brantii,Q.libani,Q.infectoria,and P.atlantica.

关键词： Fire Flammability index Time to ignition Flame durability Moisture content

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Evaluating the efficiency of the Dong model in determining fire vulnerability in Iran’s Zagros forests

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Journal of Forestry Research 2019年第4期30卷 1447-1458页

作者： sabri baqer rasooli Amir Eslam Bonyad Department of Geography College of EducationUniversity of GarmianKalarKurdistan RegionIraq Department of Forestry Faculty of Natural ResourcesUniversity of GuilanSowmeh SaraIran

Recent fires in Iran’s Zagros forests have inflicted heavy,extensive losses to the environment,forests,villages,and forest inhabitants,resulting in a huge financial loss to the country.With the increasing risk of fire and the resulting losses,it has become ever more necessary to design and develop efficient fire control and prediction procedures.The present study utilizes the Dong model to develop a map of areas vulnerable to fire in the Zarivar lake forests as a representative sample of Zagros forests.The model uses as its inputs some of the most significant factors(such as vegetation,physiographic features,and the human component)that affect the fire occurrence and spread.Having assigned weights to each factor based on the model,all maps were overlapped in the ArcMap and then the region was divided into five zones.The results showed that 74%of the region was located in three classes:highly vulnerable,vulnerable,and medially vulnerable.To validate the proposed zoning map it was compared with a map based on real data obtained from previous fires.The results showed that 81%of fire incidents were located in highly vulnerable,vulnerable and medially vulnerable zones.Furthermore,the findings indicated a medium to a high degree of fire vulnerability in Zarivar Lake forests.

关键词： Dong model Fire incidents Zarivar lake Zoning

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