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FOREST RESOURCES WANAGEMENT ›› 2015, Vol. 0 ›› Issue (4): 39-44.doi: 10.13466/j.cnki.lyzygl.2015.04.008

• Scientific Research • Previous Articles     Next Articles

Spatial Differentiation Characteristics of Pinus kesiya var. Based on Forest Resource Inventory Data for Management

XU Tingting, SHU Qingtai, OU Guanglong, XU Hui   

  1. Southwest Forestry University,Kunming 650224,China
  • Online:2015-08-28 Published:2020-12-01

Abstract: The forest resource inventory data for management in Jinggu county in 2006 were used as the information source.The biomass and related factors of standard simao pine were used to build a model and the biomass of simao pine stand in Jinggu county was analyzed.The results show that the power function model has the highest precision,R2=0.9528,p=85.4%,RMSE=14.81(kg),this model can be used to estimate the simao natural forest biomass.Simao pine trees in the study area of natural forest biomass concentrated at the altitude of 1000~2000m,and the biomass density is the highest at the altitude of 1500~2000m with 73.33t/hm2;Simao pine trees natural forest biomass mainly concentrated on steep slopes,gentle slopes and slopes,in acute slope biomass density reaches a maximum of 76.17 t/hm2.Distribution of biomass in each upward slope is relatively uniform,biomass density on the shady slopes is the highest with 74.13 t/hm2,on sunny slope it’s the lowest with 70.42 t/hm2.

Key words: simao pine, biomass, altitude, slope, aspect

CLC Number: