摘要
2007年9月至2008年8月对大连石门山不同植被恢复方式的样地进行土壤线虫调查,淘洗-过筛-浅盘法提取土壤线虫,应用类群属数、个体密度、多样性指数和功能类群指数等多个群落参数,研究不同植被恢复方式间土壤线虫群落特征的差异。共捕获线虫8577条,分别隶属于线虫动物门2纲7目26科43属,个体密度平均4.77条/g干土。研究结果表明,土壤线虫数量存在明显的季节波动,秋季明显高于夏季和春季;土壤线虫群落多样性指数、均匀度指数、丰富度指数和营养类群指数大小依次为阔叶林、针叶林和混交林,而优势度指数却表现为:针叶林>混交林>阔叶林;土壤线虫群落营养类群f/b值、MI指数、PPI指数、MMI指数、MI2-5指数、SI指数和EI指数均表现为:阔叶林>针叶林>混交林,而PPI/MI指数则表现为:混交林>针叶林>阔叶林,表明混交林受干扰明显;土壤理化特征与线虫数量、属数、生态指数间也存在明显相关关系。因此,植被恢复过程中土壤线虫群落结构分异及动态是一个重要的生态响应过程,能为进一步研究土壤生物在植被演替中的地位和作用以及土壤生物多样性保护提供基础数据。
The soil sample of different vegetation restoration practices were surveyed from September in 2007 to August in 2008 in Shimenshan in Dalian.The nematodes were collected from the soil using elutriate-sieving-shallow pan method.The species richness,abundance,diversity index and ecological index were analyzed.A total of 8577 soil nematodes were collected,belonging to 2 classes,7 orders,26 families and 43 genera.The individual density was 4.77 inds.per gram dry soil.The results indicated that the number of soil nematode fluctuated significantly with season,the number of soil nematode in autumn is significantly more than that in summer and in spring.Shannon-Wiener index,Pielou index,Margalef index and Trophic diversity index were used in analyzing the diversity of nematode community,ranking Cc〉Pm〉Clc,while Simpson index ranking Pm〉Clc〉Cc.The value of f/b,MI index,PPI index,MMI index,MI2-5 index,SI index and EI index were used in analyzing the characteristics of the functional structure of the nematode communities,ranking Cc〉Pm〉Clc,while PPI/MI value ranking Clc〉Pm〉Cc.It showed that the Clc was disturbed significantly.Soil physical and chemical characters were correlated significantly with the number of nematodes,the number of genera and ecological indices.Thus,we conclude that the dynamics of nematodes are an important biological indicator for vegetation restoration.
出处
《生态学报》
CAS
CSCD
北大核心
2010年第4期878-886,共9页
Acta Ecologica Sinica
关键词
植被恢复
土壤线虫
群落结构
生物多样性
vegetation restoration
soil nematode
community characteristic
biodiversity
作者简介
通讯作者Corresponding author．E-mail：zhangweidong64@yahoo．com．cn
