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FOREST RESOURCES WANAGEMENT ›› 2014, Vol. 0 ›› Issue (6): 79-84.doi: 10.13466/j.cnki.lyzygl.2014.06.018

• Scientific Research • Previous Articles     Next Articles

Analysis on Interspecific Association and Management Modes of the Tree Species for Plantation in Southern Subtropical Zone,China

JIANG Jun, LU Yuanchang, PANG Lifeng   

  1. Institute of Forest Resource Information Techniques,Chinese Academy of Forestry,Beijing 100091,China
  • Received:2014-09-15 Revised:2014-10-15 Online:2014-12-28 Published:2020-11-23

Abstract: The interspecific associations of tree species into forest management planning models have become increasingly important in sustainable forest management.Tree selection is one of the important factors of designing forest management plans.In order to study the interspecific associations of tree species affecting the adaptation of plant communities in the process of forest management,we survey 238 sample plots’ data on Masson pine plantation forest in Guangxi Province.A series of techniques including the VR analysis,χ2-test,Pearson correlation coefficient test,Spearman rank correlation coefficient test and Ochiai were used together to analyze the interspecific associations of dominant species.The results indicated that the dominant populations had general positive interspecific association,but the species pairs with significant positive associations were only ten percent of the total 190 species pairs,and most of the species pairs showed weak interspecific association.The interactions among the tree species were generally found to be complementary,yet sometimes contradictory.It was more practical for forest management from the view of multiple interspecific association and tree species selection,instead of a single species.Our study highlights the importance of having a good understanding of the tree selection of target stand as a basis for making decisions regarding forest management.

Key words: plantation, forest development type, interspecific association, tree selection, forest management

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