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首页> 外文期刊>Environmental Science & Technology >Unraveling Associations between Cyanobacteria Blooms and In-Lake Environmental Conditions in Missisquoi Bay, Lake Champlain, USA, Using a Modified Self-Organizing Map
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Unraveling Associations between Cyanobacteria Blooms and In-Lake Environmental Conditions in Missisquoi Bay, Lake Champlain, USA, Using a Modified Self-Organizing Map

机译：使用修改后的自组织映射图揭示美国尚普兰湖密西苏伊湾蓝藻水华与湖内环境条件之间的联系

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摘要

Exploratory data analysis on physical, chemical, and biological data from sediments and water in Lake Champlain reveals a strong relationship between cyanobacteria, sediment anoxia, and the ratio of dissolved nitrogen to soluble reactive phosphorus. Physical, chemical, and biological parameters of lake sediment and water were measured between 2007 and 2009. Cluster analysis using a self-organizing artificial neural network, expert opinion, and discriminant analysis separated the data set into no-bloom and bloom groups. Clustering was based on similarities in water and sediment chemistry and non-cyanobacteria phytoplankton abundance. Our analysis focused on the contribution of individual parameters to discriminate between no-bloom and bloom groupings. Application to a second, more spatially diverse data set, revealed similar no-bloom and bloom discrimination, yet a few samples possess all the physicochemical characteristics of a bloom without the high cyanobacteria cell counts, suggesting that while specific environmental conditions can support a bloom, another environmental trigger may be required to initiate the bloom. Results highlight the conditions coincident with cyanobacteria blooms in Missisquoi Bay of Lake Champlain and indicate additional data are needed to identify possible ecological contributors to bloom initiation.
机译：对尚普兰湖沉积物和水中的物理，化学和生物学数据进行的探索性数据分析表明，蓝细菌，沉积物缺氧与溶解氮与可溶性反应性磷的比率之间存在很强的关系。在2007年至2009年之间对湖泊沉积物和水的物理，化学和生物参数进行了测量。使用自组织人工神经网络，专家意见和判别分析进行聚类分析，将数据集分为无花和花开组。聚类基于水和沉积物化学和非蓝藻浮游植物丰度的相似性。我们的分析着重于各个参数对区分无花和花开分组的贡献。应用于第二个在空间上更具多样性的数据集时，显示出相似的无水华和水华辨别力，但一些样品具有水华的所有理化特性，而蓝藻细胞数量并不高，这表明尽管特定的环境条件可以支持水华，可能需要另一个环境触发条件才能开始开花。结果突显了尚普兰湖密西苏伊湾蓝藻水华的同时发生，并表明需要更多数据来确定水华引发的可能的生态因素。

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  • 来源
    《Environmental Science & Technology》 |2013年第24期|14267-14274|共8页
  • 作者

    Andrea R. Pearce; Donna M. Rizzo; Mary C. Watzin; Gregory K. Druschel;

  • 作者单位

    School of Engineering, University of Vermont, Burlington, Vermont 05405;

    School of Engineering, University of Vermont, Burlington, Vermont 05405;

    Rubenstein School of Environment and Natural Resources, University of Vermont, Burlington, Vermont 05405,College of Natural Resources, North Carolina State University, Raleigh, North Carolina 27695;

    Rubenstein School of Environment and Natural Resources, University of Vermont, Burlington, Vermont 05405,Department of Geology, University of Vermont, Burlington, Vermont 05405,Department of Earth Science, Indiana University-Purdue University, Indianapolis, Indiana 46202;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
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