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首页> 外文学位 >Measuring anthropogenic disturbances in a hydrogeomorphic-based lake classification built using fish assemblages in 360 north-temperate lakes.
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Measuring anthropogenic disturbances in a hydrogeomorphic-based lake classification built using fish assemblages in 360 north-temperate lakes.

机译：在基于水地貌的湖泊分类中测量人为干扰，该分类使用360个北温带湖泊中的鱼群建立。

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摘要

Hydrogeomorphic features and anthropogenic disturbances affect fish assemblages but the relative importance of these variables is inadequately understood. Quantifying these linkages, across multiple spatial scales, is key to developing lake ecosystem assessment tools and management plans. Accordingly, I classified lakes with similar hydrogeomorphic features and within these lake groups, identified the most important anthropogenic influences on fish species richness. I used fish assemblage, hydrogeomorphic, and anthropogenic data from 360 lakes in Maine, New Hampshire, Iowa, Michigan, and Wisconsin. To build lake classes, I used classification and regression trees; lakes having similar fish species richness were best grouped by lake area, ecological drainage unit, and watershed area. Results indicated that in addition to positive associations of lake and watershed area with species richness, regionalization frameworks were useful tools in identifying unique areas of freshwater biodiversity. Within classes of naturally similar lakes, species richness generally had a negative association with fish stocking, dams, and urban and agricultural land cover/use. Species richness was positively associated with human population density and road density. The methodology of classifying lakes appears to be a tool that lake managers can utilize to better understand fish assemblages in inland lakes. Classifications were also useful in grouping naturally similar lakes to identify the effects of human disturbances.
机译：水文地貌特征和人为干扰影响鱼类的聚集，但是对这些变量的相对重要性却知之甚少。在多个空间尺度上量化这些联系是开发湖泊生态系统评估工具和管理计划的关键。因此，我对具有相似水文地貌特征的湖泊进行了分类，并在这些湖泊群中确定了对鱼类物种丰富度最重要的人为影响。我使用了缅因州，新罕布什尔州，爱荷华州，密歇根州和威斯康星州的360个湖泊的鱼群，水文地理和人为数据。为了建立湖泊分类，我使用了分类树和回归树。鱼种丰富度相似的湖泊最好按湖泊面积，生态排水单位和流域面积分组。结果表明，除了湖泊和流域面积与物种丰富度之间的正相关关系外，区域化框架是确定独特的淡水生物多样性地区的有用工具。在自然相似的湖泊中，物种丰富度通常与鱼类种群，水坝以及城市和农业土地覆盖/使用负相关。物种丰富度与人口密度和道路密度呈正相关。湖泊分类的方法学似乎是湖泊管理者可以用来更好地了解内陆湖泊鱼群的一种工具。分类在将自然相似的湖泊分组以识别人为干扰的影响时也很有用。

著录项

  • 作者

    Alger, Brett Michael.;

  • 作者单位

    Michigan State University.;

  • 授予单位 Michigan State University.;
  • 学科 Water Resource Management.;Agriculture Fisheries and Aquaculture.
  • 学位 M.S.
  • 年度 2009
  • 页码 104 p.
  • 总页数 104
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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