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Ascendency as Ecological Indicator for Environmental Quality Assessment at the Ecosystem Level: A Case Study

机译:作为生态指标的生态系统环境质量评估的上升性:一个案例研究

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摘要

Previous studies have shown that when an ecosystem consists of many interacting components it becomes impossible to understand how it functions by focussing only on individual relationships. Alternatively, one can attempt to quantify system behaviour as a whole by developing ecological indicators that combine numerous environmental factors into a single value. One such holistic measure, called the system ‘ascendency’, arises from the analysis of networks of trophic exchanges. It deals with the joint quantification of overall system activity with the organisation of the component processes and can be used specifically to identify the occurrence of eutrophication. System ascendency analyses were applied to data over a gradient of eutrophication in a well documented small temperate intertidal estuary. Three areas were compared along the gradient, respectively, non eutrophic, intermediate eutrophic, and strongly eutrophic. Values of other measures related to the ascendency, such as the total system throughput, development capacity, and average mutual information, as well as the ascendency itself, were clearly higher in the non-eutrophic area. When the whole-system properties of the three areas were compared, however, the values associated with the intermediate eutrophic area turned out to be the lowest, which possibly could be attributed to the unstable nature of this area. The current study provided an example of how the measures arising out of␣network analysis might lead to an improved understanding of the system functioning and of the eutrophication process itself.
机译:先前的研究表明,当一个生态系统由许多相互作用的组成部分组成时,仅关注各个个体之间的关系就无法理解其功能。或者,可以通过开发将众多环境因素组合为一个单一值的生态指标来尝试量化整个系统的行为。一种这样的整体措施,称为系统“优势”,来自对营养交流网络的分析。它与组成过程的组织一起处理整个系统活动的联合量化,并且可以专门用于识别富营养化的发生。在有据可查的小型温带潮间河口中,通过富营养化梯度对数据进行系统上升分析。沿梯度比较了三个区域,分别为非富营养,中等富营养和强富营养。在非富营养区,与提升有关的其他度量(例如,系统总吞吐量,开发能力和平均互信息)以及提升本身的价值显然更高。但是,当比较这三个区域的整个系统属性时,与中间富营养化区域相关的值却最低,这可能归因于该区域的不稳定性质。当前的研究提供了一个例子,说明网络分析产生的措施如何导致对系统功能和富营养化过程本身的更好的理解。

著录项

  • 来源
    《Hydrobiologia》 |2006年第1期|19-30|共12页
  • 作者单位

    IMAR- Institute of Marine Research Department of Zoology Faculty of Sciences and Technology University of Coimbra;

    Chesapeake Biological Laboratory Center for Environmental and Estuarine Studies University of Maryland;

    IMAR- Institute of Marine Research Department of Zoology Faculty of Sciences and Technology University of Coimbra;

    IMAR- Institute of Marine Research Department of Zoology Faculty of Sciences and Technology University of Coimbra;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    network analysis; ascendency; eutrophication; estuary;

    机译:网络分析上升富营养化河口;

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