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广州长岗山土壤原生动物群落结构及季节变化
贾朋,李嘉琳,张丹彤,佟富春
0
(华南农业大学林学院林学院)
摘要:
对广东省广州市长岗山地区的青皮(Vatica mangachapoi)林、尾叶桉(Eucalyptus urophylla)林、粉单竹(Bambusa chungii)林和湿地松(Pinus elliottii)林4种林型进行了为期1 a的逐月采样调查,研究城市森林中土壤原生动物的群落结构特征以及季节变化。共观察到原生动物7纲22目62科102种,其中撕拉虫属(Tillina)、四鞭虫属(Tetramitus)、吴氏虫属(Woodruffia)和小胸虫属(Microthorax)4个属为优势属,占总数的77.71%。土壤原生动物密度的季节变化较为复杂,总体呈现夏冬季密度大且波动大,春秋季密度小且较平稳的规律。从土壤原生动物的垂直分布来看,占总数94.99%的土壤原生动物集中在凋落物层,呈现很强的“表聚性”特点;不同林地土壤原生动物群落相似性系数都在中等不相似至中等相似,这种分布情况表明土壤原生动物的分布不是随机的,随着小生境的变化,种类分布有很大差异。
关键词:  土壤原生动物  群落结构  季节变化  垂直分布
DOI:
投稿时间:2013-01-09修订日期:2013-03-28
基金项目:广东省大学生科技创新项目资助 (10564110130)
Community Structure and Its Seasonal Change of Soil Protozoa in Changgangshan Natural Reserve of Guangzhou
jiapeng,,,Tong Fu-Chun
(College of Forstryt, South China Agricultural University)
Abstract:
To research the community structure and its seasonal change of soil protozoa in urban forests of Southern China, the soil protozoa in plantations of Vatica mangachapoi, Eucalyptus urophylla, Bambusa chungii and Pinus elliottii in Changgangshan Natural Reserve of Guangzhou were sampled monthly from July 2011 to June 2012. There were 7 classes, 62 families and 78 species in the four plantations. Among the soil protozoa, Tillina, Tetramitus, Woodruffia and Microthorax were the dominant genera, which accounted for 77.71%. The seasonal change of the number of soil protozoa was relatively complex. The number was large in summer and winter, with considerable fluctuations; while in spring and autumn, it was small and stable on the whole. From the vertical distribution of soil protozoa in soil profile, the majority of the soil protozoa concentrated in the litter layer, characterized by a remarkable “surface aggregation”. Jaceard similarity index of different plantations in soil protozoa was from a moderate dissimilar level to a moderate similar level. The situation indicated that the distribution of soil protozoa was not random, the distribution of the species varied a lot in light of the different habitats.\
Key words:  soil protozoa  community structure  seasonal change  vertical distribution

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