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FOREST RESOURCES WANAGEMENT ›› 2023, Vol. 0 ›› Issue (2): 64-69.doi: 10.13466/j.cnki.lyzygl.2023.02.009

• Scientific Research • Previous Articles     Next Articles

Study on Fuel Loads Models of Pinus yunnanensis in the Southwest of Sichuan and the Impact Factors

XIAN Mingrui1(), DANG Wei2, DAI Bin2, LIU Bo2, LIN Guoliu3   

  1. 1. Southwest Survey and Planning Institute of National Forestry and Grassland Administration,Kunming 650031,China
    2. Sichuan Forestry and Grassland Survey and Planning Institute,Chengdu 610081,China
    3. Yunnan Forestry Survey and Planning Institute,Kunming 650051,China
  • Received:2023-02-21 Revised:2023-04-17 Online:2023-04-28 Published:2023-06-26

Abstract:

This study investigated the fuel loads of Pinus yunnanensis in the Southwest of Sichuan and the impact factors,the result would provide scientific data and guidance for the fuel loads estimation and management in the Southwest of Sichuan.Based onthe fuel data of 669 sample plots from forest fire risk survey,multiple functions were selected for modeling and their fitting effects were evaluated,and the relationshipbetween different fuel loadings and influencing factors was analyzed.The result showed that:1)The total fuel loads means of Pinus yunnanensis was 75.50t/hm2,the smallest was artificial low-canopy closure young forest and the largest was natural high-canopy closure mature and overripe forest.2)The largest proportion of the fuel loads was the forest,followed by the litter,and the smallest proportion was the grass.3)The model showed that the total fuel loads could be better estimated by the fuel load of forest;The fitting effects of the linear model was the best among the five models.4)The influencing factors with high correlation with fuel loads were forest basal area,mean diameter at breast height,canopy closure,forest density and slope position.The surface fuel loads means of Pinus yunnanensis was between 5~10t/hm2,there was greater risk of forest fires,regular removal the litter should be strengthened to reduce the risk of forest fires.

Key words: Pinus yunnanensis, fuel loads, impact factors, Southwest of Sichuan

CLC Number: