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首页> 外文期刊>Turkish Journal of Botany >Study of seasonal influences on algal biodiversity in the River Yarqon (central Israel) by bio-indication and canonical correspondence analysis (CCA)
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Study of seasonal influences on algal biodiversity in the River Yarqon (central Israel) by bio-indication and canonical correspondence analysis (CCA)

机译:通过生物指示和规范对应分析(CCA)研究雅克河(以色列中部)对藻类生物多样性的季节性影响

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摘要

In our research conducted in the River Yarqon during 2003-2006, we identified 313 taxa of algae and cyanobacteria belonging to 8 taxonomical divisions. Out of these 313 taxa, 268 taxa (85.6%) were indicators of environmental conditions that characterised the river water as alkaline with medium mineralisation. In the rainy and dry seasons the algal taxonomic compositions were very different, with prevailing diatoms in the winter and cyabobacteria and greens in summer. Bio-indication shows that the taxonomic preference for the self-purification process was more intensive during the rainy season, while the low level of river water in the dry season stressed the algal community. By employing CCA analysis some indicators of highly mineralised water with high pH, anthropogenic pollution, and eutrophication were revealed. CCA analyses also helped to reveal various biosensor species sensitive to the advent of anthropogenic pollution. We therefore conclude that the combination of bioindicational methods with statistics is effective in the determination of the main factors influencing algal diversity. This combination is also helpful in indicating which biosensing species will influence the most important environmental parameters. The obtained results can be used for water quality assessment and in monitoring systems of Israeli and other Mediterranean coastal rivers.
机译:在2003年至2006年期间,我们在雅克河上进行的研究中,我们确定了313个藻类和蓝细菌类群,属于8个生物分类。在这313个分类单元中,有268个分类单元(85.6%)是环境状况的指标,这些环境条件将河水定性为碱性,矿化程度中等。在雨季和干旱季节,藻类的生物分类组成大不相同,冬季盛行硅藻,夏季流行蓝藻和绿藻。生物指示表明,在雨季,生物分类学对自净过程的偏爱更为强烈,而在旱季,河水含量低,给藻类群落带来了压力。通过CCA分析,揭示了具有高pH值,人为污染和富营养化的高度矿化水的一些指标。 CCA分析还有助于揭示对人为污染到来敏感的各种生物传感器种类。因此,我们得出结论,将生物指示方法与统计数据相结合可以有效地确定影响藻类多样性的主要因素。这种组合还有助于指出哪种生物传感物种将影响最重要的环境参数。获得的结果可用于水质评估以及以色列和其他地中海沿岸河流的监测系统。

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