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Pelagic zonation of water quality and phytoplankton in the Great Lakes

机译:伟大的湖泊中水质和浮游植物的皮埃解

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摘要

Analysis of aquatic ecosystem data collected from large water bodies must consider spatial variations. A suite of pelagic survey stations exists for the Laurentian Great Lakes, but little is known about their redundancy. We present a strategy to delineate the lakes into zones based on water quality and phytoplankton biovolume. Water samples were collected from 72 sites in two seasons (spring and summer) from 2007 to 2010 in all five lakes. Integrated samples were analyzed for phytoplankton biovolume and nine water quality parameters. We conducted cluster analysis, principal components analysis and non-metric multidimensional scaling methods for water quality and phytoplankton taxon-specific biovolume for the Great Lakes basin and for each lake separately. There were significant lake-to-lake differences, and based on lake-specific analyses, Lake Superior, Lake Michigan and Lake Erie were each divided into three zones; Lake Huron and Lake Ontario were each grouped into two zones. The zones identified by water quality and phytoplankton provide an understanding of spatial distributions for evaluating monitoring data.
机译:从大型水体收集的水生生态系统数据分析必须考虑空间变化。劳伦特伟大的湖泊存在一套封面调查站,但对他们的冗余知之甚少。我们提出了一种基于水质和浮游植物的地区将湖泊描绘成区的策略。在所有五个湖泊中,从2007年到2010年的两个赛季(春季和夏季)的72个位点收集了水样。分析了植物生物植物和九个水质参数的集成样品。我们对伟大的湖泊盆地和每个湖泊进行了水质和浮游植物分类的水质和Phytoplankton的非度量多维比例的群体分析和非公制多维比例。湖到湖泊的差异很大,基于湖泊特异性分析,湖泊优越的分析,密歇根湖和伊利湖都分为三个区域;休伦湖和安大略湖都分为两个地区。通过水质和Phytoplankton识别的区域提供了对评估监测数据的空间分布的理解。

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