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寿光市不同棚龄温室土壤动物群落结构

董博1;张仁陟1;荆世杰2;谢永1;姚骅1   

  1. 1甘肃农业大学资源与环境学院, 兰州 730070;2高密市环保局, 山东高
    密 261500
  • 收稿日期:2007-11-28 修回日期:1900-01-01 出版日期:2008-08-20 发布日期:2008-08-20

Animal community structure in greenhouse soils with different planting years in Shouguang City.

DONG Bo1;ZHANG Ren-zhi1;JING Shi-jie2;XIE Yong1;YAO Hua1   

  1. 1College of Resource & Environment, Gansu Agricultural University, Lanzho
    u 730070, China; 2Gaomi Environmental Protection Bureau, Gaomi 261500, Shandong, China
  • Received:2007-11-28 Revised:1900-01-01 Online:2008-08-20 Published:2008-08-20

摘要: 为研究不同棚龄温室与土壤动物群落生态分布之间的关系,对寿光市不同棚龄温室内土壤动物群落结构进行了研究.通过手拣法、Tullgren法和Baermann 法对获得的土壤动物进行分离、分类,共获得20 966个土壤动物标本,分别隶属于3门12纲.调查结果显示,弹尾目、线虫纲、真螨目和甲螨目动物为温室土壤动物的优势类群,占总个体数的82.3%,构成了该地区温室土壤动物的主体.温室土壤动物群落的垂直分布规律明显,具有一定的表聚性,0~5 cm、5~10 cm土层分别占土壤动物总数量的75.4%和14.6%.该地区温室内,土壤动物数量的高峰期出现在3—5月和10—12月,8月土壤动物的数量最低,与露地土壤动物的季节分布规律不同.露地中土壤动物的数量变化具有明显的季节性变化规律,7—9月是土壤动物数量的高峰期,1月土壤动物的数量最少.该地区温室土壤动物群落的多样性较高,但随着温室利用年限的增加,土壤动物优势种的密度显著增加,多样性指数降低.

关键词: 污染场地, 趋势分析, 多元统计分析, 空间变异

Abstract: By the methods of handsorting, Tullgren’s and Baermann’s, the animal community structure in greenhouse soils with different planting years in Shouguang City of Shandong Province was investigated from March 2006 to April 2007. A total of 20966 soil animals belonging to 3 phylums and 12 classes were obtained. Collembola, Nematoda, Acariformes and Oribatida were the dominant groups, accounting for 82.3% of the total individuals. The soil animals had an obvious vertical distribution pattern, with most of them assembled in surface soil and occupying 75.4% and 14.6% of the total at the depths of 0-5 cm and 5-10 cm, respectively. The animals’ amount in greenhouse soils was the highest from March to May and from October to December, and the lowest in August; while that in open field soils was the highest from July to September, and the lowest in January. The animal community in greenhouse soils in this region had a high diversity, but the density of dominant groups increased obviously with increasing planting years, resulting in a decrease of diversity index.

Key words: contaminated site, trend analysis, multi-component statistical analysis, spatial variation.