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紫花苜蓿草地节肢动物群落功能团和营养层的多样性

姜双林   

  1. 陇东学院生命科学系, 甘肃庆阳 745000
  • 收稿日期:2006-05-09 修回日期:1900-01-01 出版日期:2007-04-03 发布日期:2007-04-03

Diversity in functional group and nutritional class of arthropod community on cultivated lucerne grassland

JIANG Shuang-lin   

  1. Department of Life Science, Longdong University, Qingyang 745000, Gansu, China
  • Received:2006-05-09 Revised:1900-01-01 Online:2007-04-03 Published:2007-04-03

摘要: 用网捕、手捕和巴氏诱罐法对紫花苜蓿草地的节肢动物进行了系统调查,采集到标本9 225头,隶属15目38科81种;根据营养水平和取食关系归为3个营养层(基位物种、中位物种和顶位物种)和14个功能团,分析了苜蓿地节肢动物群落的物种、优势功能团和营养层多样性的时序动态。结果表明,在苜蓿的整个生长季节,物种多样性>功能团多样性>营养层多样性,物种多样性和营养层多样性分别与功能团多样性之间的相关性均达到极显著水平(P<0.01)。功能团多样性与物种多样性的变化趋势较一致,营养层多样性在时间序列过程中波动性较小。在群落研究中,可以用对功能团的研究代替对物种的研究,从而简化物种间复杂的网络关系。功能团多样性可用于群落相似性和稳定性分析。

关键词: 生态评价, 评价指标, 层次分析法

Abstract: An investigation was made on the composition and structure of arthropod community on cultivated lucerne grassland in Qingyang City, Gansu Province. A total of 81 species belonging to 38 families and 15 orders were collected. According to the trophic level and feeding mode, three nutritional classes and fourteen functional groups were established, and the temporal dynamics of the diversities in species, functional group, and nutritional class were analyzed. The results indicated that during the growth season of lucerne, the species of arthropod community had the highest diversity, followed by functional group, and nutritional class. Both species diversity and nutritional class diversity had significant correlations with functional group diversity (P<0.01). Functional group biodiversity had a similar temporal variation trend with species biodiversity, while functional group diversity had less fluctuation. In studying the composition and structure of arthropod communities, species study could be replaced by functional group study to simplify the complicated network relationships among the species in the community, while functional group diversity could be used in evaluating the community similarity and stability.

Key words: Ecological evaluation, Assessing index, Analytical hierarchy process