深圳湾潮间带底栖动物群落结构的等级聚类与非度量多维标度排序

应用等级聚类与非线性多维标度排序两种多变量统计分析方法研究了深圳湾潮间带底栖动物群落结构的时空变化，结果表明：1）底栖动物群在深圳福田A断面上与香港米博RB和ET断面上有较明显的差异，在A断面高潮区与中、低潮区也有较明显的空间差异。2）RB和ET断面底栖动物群落有明显的季节变化，温度、盐工和潮汐是影响群落结构变化的主要因子。

Using Hierarchial Clustering and No-metric MDS to Explore Spatio-temporal Variation of Benthic Community at Intertidal in Shenzhen Bay

The spatio temporal variation law of benthic community structure at Shenzhen Bay was studied, by using two multivariate statistic analytical techniques, Hierarchical Clustering and No metric MDS. The results indicated that: 1) There was distinct space difference in benthic community structure between Section A and Section RB or ET, which are located at Futian in Shenzhen and Mipu in Hong Kong separately. There was also distinct space difference in benthic community structure between high tide area and low tide area in Section A. 2) Benthic community impacted by seasons had obvious variation at Section RB and Section ET. Salinity and tides were likely to be two most important factors, which resulted in the above phenomena. The analytical results also shew that where there was a steady gradation in community structure, No metric MDS can show this continuous variation more effectively than Hierarchical Clustering.