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林业科学 ›› 2011, Vol. 47 ›› Issue (12): 149-153.doi: 10.11707/j.1001-7488.20111222

• 研究简报 • 上一篇    下一篇

吉林蛟河针阔混交林群落优势种群种间联结性

姜俊, 赵秀海   

  1. 北京林业大学省部共建森林培育与保护教育部重点实验室 北京 100083
  • 收稿日期:2011-06-08 修回日期:2011-11-02 出版日期:2011-12-25 发布日期:2011-12-25
  • 通讯作者: 赵秀海

Interspecific Correlations among Dominant Tree Species in the Coniferous and Broad-Leaved Mixed Forest Communities in Jiaohe, Jilin Province

Jiang Jun, Zhao Xiuhai   

  1. Key Laboratory for Silviculture and Conservation of Ministry of Education, Beijing Forestry University Beijing 100083
  • Received:2011-06-08 Revised:2011-11-02 Online:2011-12-25 Published:2011-12-25

关键词: 种间联结, 生态位重叠, 联结系数检验, 生态种组

Abstract:

Based on the 2×2 contingency tables of species presence/absence data collected from a 42 hm2 permanent plot in the coniferous and board-leaved mixed forest in Jiaohe, the VR analysis, χ2-test, Pearson correlation coefficient test and Spearman rank correlation coefficient test were used in quantitative analysis of the interspecific correlations of 18 dominant species. The results indicated that there was a significantly positive correlation of overall association in the broad-leaved mixed forest community, but most species were insignificant positive correlation. The result of χ2-test showed that there was a positive association for 85 species-pairs and a negative association for 65 species-pairs. The Spearman rank correlation coefficient test produced more positive correlation species-pairs than the Pearson correlation coefficient test. The positive associations were presented among overall tree species of the community, which suggested the adaptability of species to similar habitats and the niche overlapped. The interspecific correlations were probably associated with ecological habitats. According to the semi-matrix figure correlation coefficients and the ecological characteristics, the 18 dominant species divided into three ecological species groups.

Key words: interspecific correlation, niche overlap, correlation coefficient test, ecological species groups

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