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首页> 外文期刊>Fresenius Environmental Bulletin >RELATIONSHIPS BETWEEN LAKE MORPHOMETRY, WATER QUALITY, AND AQUATIC MACROPHYTES, IN GREEK LAKES
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RELATIONSHIPS BETWEEN LAKE MORPHOMETRY, WATER QUALITY, AND AQUATIC MACROPHYTES, IN GREEK LAKES

机译:希腊湖泊的湖泊形态,水质和水生宏观植物之间的关系

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In the current study, the relationships between lake morphological characteristics, water chemistry parameters and aquatic macrophyte data of nineteen lakes of Greece were investigated. Statistical and ordination analysis was performed in order to distinguish possible correlations be tween lake morphology features, key water quality para meters and hydrophyte distribution. Water quality and hy drophyte data for eleven out of nineteen lakes were ob tained from field surveys carried out the last five years. Water quality parameters, lake morphology and hydro phyte data published in scientific papers and reports were used as well. Several lake morphology parameters such as average depth, maximum depth, relative depth, surface area, lake catchment area, volume, Schindler's ratio and morphoedaphic index (MEI) were included in the statisti cal analysis. The statistical assessment of our data in cluded Pearson correlations between the lake morphology and water quality parameters, Principal component analy sis (PCA), in order to distinguish the key morphological parameters and Redundancy Analysis (RDA) in order to estimate possible associations between the hydrophyte dis tribution and the morphology of the lakes. The results re vealed several significant correlations between the phys icochemical and geomorphological variables. Most notable correlations include those between Schindler's ratio, Mor phoedaphic index, Secchi depth, conductivity and chloro phyll-a. The results of PCA indicated lake volume and altitude as key variables with the strongest influence on the lake discrimination, followed by Schindler's ratio and MEI. The RDA results revealed a possible association of several hydrophyte species in shallower lakes with greater values of MEI. However, the RDA results between aquatic macrophyte and physicochemical data did not reveal any pattern of macrophyte species distribution among the stud ied lakes. According to our results, Schindler's ratio and relative depth are the most important morphological pa rameters indicating the combined influence of catchment and lake morphometry on the water quality. The MEI was associated with key physicochemical parameters and there fore could provide an additional simple and efficient tool of classification of Greek lakes in the frame of establishing a new typology.
机译:在本研究中,研究了希腊19个湖泊的湖泊形态特征,水化学参数与水生植物数据之间的关系。为了区分湖泊形态特征,关键水质参数和水生植物分布之间可能的相关性,进行了统计和排序分析。从过去五年进行的实地调查中获得了十九个湖泊中十一个湖泊的水质和水分数据。还使用了在科学论文和报告中发表的水质参数,湖泊形态和水生植物数据。统计分析中包括几个湖泊形态参数,例如平均深度,最大深度,相对深度,表面积,湖泊集水面积,体积,迅达比和形态指数(MEI)。对我们的数据进行统计评估,包括湖泊形态与水质参数之间的皮尔逊相关性,主成分分析(PCA),以便区分关键形态参数和冗余度分析(RDA),以估算水生植物之间可能的关联分布和湖泊的形态。结果揭示了物理化学化学和地貌变量之间的几个重要相关性。最显着的相关性包括迅达比,Mor phoedaphic指数,Secchi深度,电导率和叶绿素a之间的相关性。 PCA的结果表明,湖泊的数量和高度是对湖泊判别力影响最大的关键变量,其次是迅达比和MEI。 RDA结果表明,浅水湖泊中的几种水生植物物种可能与MEI值较高有关。然而,水生大型植物与理化数据之间的RDA结果并未揭示大型植物在种湖之间的分布格局。根据我们的结果,迅达比和相对深度是最重要的形态参数,表明集水区和湖泊形态对水质的综合影响。 MEI与关键的理化参数有关,因此可以在建立新的类型学的框架内,为希腊湖泊的分类提供额外的简单有效的工具。

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