search
for
 About Bioline  All Journals  Testimonials  Membership  News


Zoological Research
Kunming Institute of Zoology, Chinese Academy of Sciences
ISSN: 2095-8137
Vol. 26, No. 3, 2005, pp. 272-278
Bioline Code: zr05008
Full paper language: Chinese
Document type: Research Article
Document available free of charge

Zoological Research, Vol. 26, No. 3, 2005, pp. 272-278

 en Community Structure of Soil Macrofauna in Different Using Types of Soils in Autumn
GE Bao-ming, KONG Jun-miao, CHENG Hong-yi, ZHENG Xiang, BAO Yi-xin

Abstract

From October to November 2004 by using a sampling method,we investigated the soil macrofauna communities at 7 using types of soils,paddy field (P), kaleyard (K), orchard (O), wilderness (W), yard (Y), lawn (L) and building site (B) in Jinhua, Zhejiang. There were 1 161 soil macrofauna individuals belonged to 20 orders,8 classes,and 3 phylums in total samplings. The dominant orders were Nematoda and Hymenoptera,the frequent orders were Araneae,Diplura, Lumbricida, Isopoda, Stylommatophora, Coleoptera, Lepidoptera and Diptera,and then the remnant orders were rare orders. The complexity index of community (C) tended O>K>W>B>L>P>Y,and Shannon-Weiner index (H') L>B>W>K>O>P>Y. C was manifested better than H' in representing the complexity and the diversity of communities. The vertical distribution of soil macrofauna had obvious surface assembly. Using the Hierarchical Cluster and the Non-matric Multi-dimensional Scaling method,the 7 communities were classed to 3 groups: highly disturbing and non-bestrow group,herbage growth group and orchard group,which shows the response of soil macrofauna communities to the different soil using types.

Keywords
Soil macrofauna; Community; Diversity; Soil using type

 
© Copyright 2005 Kunming Institute of Zoology, the Chinese Academy of Sciences
Alternative site location: http://www.zoores.ac.cn/

Home Faq Resources Email Bioline
© Bioline International, 1989 - 2024, Site last up-dated on 01-Sep-2022.
Site created and maintained by the Reference Center on Environmental Information, CRIA, Brazil
System hosted by the Google Cloud Platform, GCP, Brazil