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FOREST RESOURCES WANAGEMENT ›› 2018›› Issue (6): 68-75.doi: 10.13466/j.cnki.lyzygl.2018.06.012

• Scientific Research • Previous Articles     Next Articles

Study on Environmental Impact Factors of Pinus armandii Forest in Yunnan Province

ZHANG Yi(), ZHANG Chao()   

  1. Southwest Forestry University,Kunming 650224,China
  • Received:2018-09-18 Revised:2018-10-29 Online:2018-12-28 Published:2020-09-27
  • Contact: ZHANG Chao E-mail:ciedu@outlook.com;zhchgis@126.com

Abstract:

Grasping the main environmental impact factors of Pinus armandii forest and applying quantitative research methods can provide theoretical basis for effective protection,restoration and rational use of Pinus armandii forest resources.The research is based on data from the Continuous Forest Inventory(CFI) in Yunnan Province,using multiple correspondence analysis methods to analyze the degree of influence of the spatial distribution of environmental impact factors on the spatial distribution of Pinus armandii forests,and sorting the impact degree,The results show that:1)In terms of horizontal zonality,the Pinus armandii forest is more distributed in central Yunnan,but the measured tree factors in northwestern Yunnan are higher than those in other regions.In terms of vertical zonality,the Pinus armandii forest fluctuates slightly in each elevation interval and has a large variance;2)The overall variance of spatial distribution of Pinus armandii forest is significantly different from that of large-scale environmental factors such as river basin,altitude and longitude,while the impact of small-scale environmental factors such as soil type,slope position,slope direction and gradient is relatively consistent;3)The spatial distribution environmental factors of Pinus armandii forest were ranked from large to small according to the degree of influence:sunshine>precipitation>latitude>humidity>longitude>soil>temperature>wind speed>soil thickness>aspect>slope position>altitude>slope.

Key words: Pinus armandii forest, potential distribution area, environmental impact factor, multiple correspondence analysis, Yunnan Province

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