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四种草原植物根际土壤线虫群落特征

徐冰,任慧琴,赵念席**,阮维斌,高玉葆   

  1. (南开大学生命科学学院, 天津 300071)
  • 出版日期:2015-01-10 发布日期:2015-01-10

Community analysis of soil nematodes associated with four grassland species in the Inner Mongolian steppe.

XU Bing, REN Hui-qin, ZHAO Nian-xi**, RUAN Wei-bin, GAO Yu-bao   

  1. (College of Life Science, Nankai University, Tianjin 300071, China)
  • Online:2015-01-10 Published:2015-01-10

摘要:

植物是否能特异性地影响土壤生物群落逐渐受到生态学家的关注。本研究利用盆栽实验研究了内蒙古典型草原区3种建群种(大针茅、克氏针茅和羊草)和1种群落伴生种(冰草)根际土壤线虫群落的数量特征。结果表明:4种植物根际土壤线虫群落间差异显著,这不仅表现在线虫密度方面,也表现在线虫种属组成、营养类群比例、优势类群以及群落结构方面,其中冰草根际土壤线虫群落的成熟度指数最低;判别分析能够将同一种植物根际土壤线虫群落样品与其他种植物根际线虫群落样品很好地分开;聚类分析显示,大针茅和克氏针茅根际线虫群落首先聚在一起,后与冰草根际线虫群落聚在一起,最后与羊草根际线虫群落聚在一起,与这4种植物的系统关系一致。

 

关键词: DOC, 海拔梯度, DON, 模拟增温, 高山森林

Abstract: There is growing interest in whether plant species composition can affect the composition of soil microbial communities or soil fauna communities. In the present study, the effects of three dominant grass species (Stipa grandis, Stipa krylovii and Leymus chinensis) and one companion species (Agropyron cristatum) on the composition and function of nematode communities were studied in a 10month potexperiment with soil from the Inner Mongolian steppe. Our results revealed the following patterns: (1) Nematode compositions, including abundance, diversity and trophic group structure, and nematode maturity index were significantly different among different plant species. Nematode maturity index was lowest in soil conditioned by A. cristatum. (2) Nematode communities could be separated by plant species identity by discriminant analysis. (3) Based on the similarity coefficients, the result of cluster analysis indicated that these samples were clustered into three subgroups: samples conditioned by S. grandis and S. krylovii as the first subgroup, then samples conditioned by A. cristatum as the second subgroup, samples conditioned by L. chinensis as the third subgroup. This ordination closely resembles the phylogenetic structure of the grasses that were used in this study.

Key words: alpine forest, simulated warming, altitude gradient, DOC, DON