Subjects: Geosciences >> Geography submitted time 2024-03-01 Cooperative journals: 《干旱区研究》
Abstract： Forest surface combustibles are one of the important factors in forest fire propagation, and theircalorific values are an important index by which to assess combustibility. This study has aimed to assess thesurface fuels available in four typical vegetation types in the eastern Tianshan Mountains of Xinjiang, China. Thecharacteristics of the surface fuel calorific values and relationship with ignition point and absolute moisturecontent were analyzed. The results show that in coniferous and broad- leaved forests, there were significantdifferences between herb and litter components, while in shrub forest, there were significant differences betweenshrub and litter components. Within the same forest the calorific values were litter > herb > shrub > humus. Thecalorific values in the coniferous forests were the highest among the herbaceous fuel components (19.38 ± 0.08kJ·g−1), while those in the coniferous forests were highest among the litter fuel components (19.55 ± 0.05 kJ·g−1).Differences were identified in the relationship between the calorific value and the ignition point of the surfacecombustibles for the different components. There was a significant correlation between the burning point of theshrub fuel components and the calorific value (R2 = 0.81, P < 0.01), and between the burning point of litter fuelcomponents and the calorific value (R2 = 0.38, P < 0.05). However, there was no significant correlation betweenthe burning point and calorific value of the herbs and humus (P > 0.05). In addition, there was no significantcorrelation between the calorific values of the surface fuel and the absolute moisture content of all forest types.Forest type, tree species, physical and chemical properties, and other conditions were thus found to have acomprehensive effect on the calorific values of the different fuels. The results of this study provide a theoreticalbasis for forest fire management in the eastern Tianshan Mountains as they will help to accurately predict thecalorific energy and potential forest fire risks and provide data support for in-depth research on regional surfacefuels.
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