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Temporal Variation of Fish Diversity and Assemblages and their Associations to Environmental Variables in the Mangrove of Qinzhou Harbor, Guangxi Province, China

机译:中国广西钦州港红树港的环境变量的颞份变化及其与环境变量的关系

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The composition and temporal variation of fish assemblages were investigated in the mangrove of Qinzhou Harbor, Guangxi Province, China from October 2011 to September 2012. A total of 67 fish species belonging to 57 genera, 32 families and 12 orders were collected. The Gobiidae (23.9%) were the most species-rich families, and the dominant species were Acentrogobius viridipunctatus and Bostrychus sinensis. Species richness, total abundance, total biomass and individual species abundance or biomass for the numerically abundant fish species were significantly different seasonally, such as abundance and biomass for A. viridipunctatus, B. sinensis, Glossogobius giuris, Acanthogobius hasta, Gerres limbatus, Sillago sihama, Lateolabrax japonicas, Moolgarda cunnesius and Leiognathus brevirostris. The Non-metric Multidimensional Scalings (NMDS) ordination showed a clear separation of fish samples with an anticlockwise direction for different sampling months, which indicated a gradual change in fish assemblages over the months. Results of two-way ANOVA showed fish species richness, total abundance and total biomass were significantly affected by tidal type in the mangrove of Qinzhou Harbor. However, NMDS ordination showed an unclear separation of fish samples between spring tide and neap tide. One-way ANOSIM further revealed no significant effects of tidal type.
机译:从2011年10月到2012年10月,中国广西钦州港红树港的红树林组成和时间变异。收集了57个属,32个家庭和12个订单的67种鱼类。 Gobiidae(23.9%)是最丰富的家族,优势物种是Acehtrogobius Viridippuntatus和Bostrychus sinensis。物种丰富,总丰富,总生物量和个体物种对数值丰富的鱼类的丰富或生物量季节性显着差异,例如A.Viripunctatus,B. Sinensis,Glossogobius Giuris,Acanthogobius Hasta,Gerres Limbatus,Sillago Sihama的丰富和生物量。 ,鼠索拉克斯japonicas,moolgarda cunnesius和Leiognathus brevirostris。非度量多维缩放(NMDS)排序显示出对不同采样月的逆时针方向的鱼样品清晰分离,这表明了几个月鱼组合的逐渐变化。双向Anova的结果显示鱼类种类丰富,总丰富和总生物量受到秦州港红树林中的潮汐类型的显着影响。然而,NMDS排序显示春报和NeAP潮之间的鱼类样品的不明确情况。单向Anosim进一步揭示了潮汐类型的显着影响。

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