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首页> 外文期刊>Phytocoenologia >Aquatic macrophytes as bioindicators of water chemistry in nutrient rich backwaters along the Upper-Tisza river (in Hungary)
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Aquatic macrophytes as bioindicators of water chemistry in nutrient rich backwaters along the Upper-Tisza river (in Hungary)

机译:水生植物作为提萨河上游营养丰富的回水中水化学的生物指标(匈牙利)

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We assessed the relationship of vegetation composition and water chemical parameters in five nutrient rich backwaters in NE Hungary. We used 126 plots and water samples analysed for 19 water chemical parameters. Our hypothesis was that environmental variables might be decisive for macrophyte species composition in waters with different nutrient content. We also supposed that community-environment and species-environment relationship of nutrient rich water may differ from nutrient poor ones. TWINSPAN analysis was used to reveal the main vegetation units, and detrended canonical correspondence analysis (DCCA) was used to explore the water chemical demands of these communities and the species-water chemical parameters relationships.We found 8 communities by TWINSPAN. Among the water chemical parameters Ca2+, COD, NO2, Mg2+, Cl- were important in differentiating the communities. In the nutrient rich backwaters we found similar results as other authors found in nutrient poor waters and fens. Glycerietum maximac association found in waters with high amount of COD and NO2-, Typhetum angustifoliae association correlated negatively with these water chemical parameters and Sparganietum erecti and Potametum lucentis associations prefer both habitats. Bolbo-schoenion and Schoenoplectetum lacustris associations have been found to prefer waters with high amount of Cl-. Trapetum natantis and Ceratophyllo-Nymphaeetum albae associations found to prefer waters with low amount of Ca2+, COD, NO2-, Mg2+ and Cl-, which proved the vulnerability of these protected associations in nutrient rich waters. In the case of species-water chemical parameters relationship we found high nitrogen correlation of Ceratophyllum demersum and high Ca2+ correlation of Potamogeton lucens.
机译:我们评估了匈牙利东北部五种营养丰富的回水中植被组成与水化学参数之间的关系。我们使用了126个样地并分析了19个水化学参数的水样。我们的假设是,环境变量可能对不同养分含量的水中大型植物物种组成具有决定性作用。我们还认为,营养丰富的水的社区-环境和物种-环境关系可能与营养缺乏的水有所不同。利用TWINSPAN分析揭示了主要的植被单元,运用去趋势典范对应分析(DCCA)探索了这些群落对水的化学需量以及物种与水化学参数的关系。在水化学参数中,Ca2 +,COD,NO2,Mg2 +,Cl-在区分群落方面很重要。在营养丰富的回水中,我们发现了与其他作者在营养缺乏的水和and中发现的相似结果。在含有大量COD和NO2的水域中发现的最大甘油关联,安息香(typhetum angustifoliae)关联与这些水化学参数负相关,而直立分布的Sparganietum和Potametum lucentis关联则更喜欢这两个生境。现已发现,大骨羊蹄菌和大肠白球菌协会更喜欢含有大量Cl-的水。斜方肌和褐藻猪笼草协会发现偏爱Ca2 +,COD,NO2-,Mg2 +和Cl-含量低的水,这证明了这些受保护的协会在营养丰富的水中的脆弱性。在物种与水的化学参数关系的情况下,我们发现了Ceratophyllum demersum的高氮相关性和Potamogeton lucens的高Ca2 +相关性。

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