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Division Design of Water Eco-Functioning of theRiver Basin

机译：流域水生态功能分区设计

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摘要

Regionalization plays an important role in delineating landscape heterogeneity and providing spatial frameworks for environmental management. Historically, the most widely used method for regionalization is qualitative synthesis of various mixes of environmental or biotic data as the whole. However, such methods based on expert judgment and whole data set are less repeatable and defensible than their quantitative counterparts. In this study, a comprehensive regionalization approach that integrated multiple quantitative techniques was developed to differentiate two distinct types of landscape variables, i.e., response attributes and driving factors. This approach was applied to the regionalization in the Huai River Basin (HRB), China. In the regionalization scheme, the sub-watersheds of the basin were adopted as the basic spatial unit; different response attributes were used to characterize different water ecofunctioning. The sub-watersheds were classified into a certain number of groups using the k-means cluster analysis based on the response attributes. A goodness-of-fit index, calculated as the ratio of between-group/within-group variation, was employed as a quantitative criterion to assess the statistical performance of the classification results. Driving forces were used to assess the strengths of the forces operating at different spatial and temporal scales on water eco-functioning. A general, quantitative, regionalization framework was developed; this framework can reveal underlying mechanisms of basin divisions and landscape patterns through integrating response attributes and driving factors. This framework was implemented by using a basin-scale regionalization of Huai River Basin as an example; however, the framework can be adapted to other regionalization practices within broad contexts
机译：区域划分在描述景观异质性和为环境管理提供空间框架方面发挥着重要作用。历史上，最广泛使用的区域化方法是对环境或生物数据的各种混合进行定性综合。但是，这种基于专家判断和整个数据集的方法与定量方法相比，具有较低的可重复性和可辩护性。在这项研究中，开发了一种综合了多种量化技术的综合区域化方法，以区分两种不同类型的景观变量，即响应属性和驱动因素。此方法已应用于中国淮河流域（HRB）的区域化。在分区方案中，将流域的分流域作为基本的空间单位。不同的响应属性用于表征不同的水生态功能。根据响应属性，使用k-均值聚类分析将子流域划分为一定数量的组。以组间/组内变异的比率计算的拟合优度指数被用作评估分类结果统计性能的定量标准。驱动力被用来评估在水生态功能上不同时空尺度上发挥作用的力量。制定了一个总体的，定量的区域化框架；通过整合响应属性和驱动因素，该框架可以揭示盆地划分和景观格局的潜在机制。该框架以淮河流域的流域规模化区域为例来实施。但是，该框架可以在广泛的背景下适应其他区域化实践

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  • 来源
    《Clean》 |2015年第12期|1640-1646|共7页
  • 作者

    Sheng Sheng; Chi Xu; Teng Wen; Yun Wan; Shuqing An;

  • 作者单位

    School of Life Science and Institute of Wetland Ecology, Nanjing University, Nanjing, P. R. China Nanjing University Ecology Research Institute of Changshu (NJUecoRICH), Changshu, Jiangsu, P. R. China Hydrochina Huadong Engineering Corporation, Hangzhou, P. R. China;

    School of Life Science and Institute of Wetland Ecology, Nanjing University, Nanjing, P. R. China;

    School of Life Science and Institute of Wetland Ecology, Nanjing University, Nanjing, P. R. China Nanjing University Ecology Research Institute of Changshu (NJUecoRICH), Changshu, Jiangsu, P. R. China;

    School of Life Science and Institute of Wetland Ecology, Nanjing University, Nanjing, P. R. China Nanjing University Ecology Research Institute of Changshu (NJUecoRICH), Changshu, Jiangsu, P. R. China;

    School of Life Science and Institute of Wetland Ecology, Nanjing University, Nanjing 210093, P. R. China Nanjing University Ecology Research Institute of Changshu (NJUecoRICH), Changshu, Jiangsu, P. R. China;

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  • 原文格式 PDF
  • 正文语种 eng
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  • 关键词

    Cluster analysis; Goodness-of-fit index; Management; Multivariate analysis; Regionalization;

    机译：聚类分析;拟合优度指数;管理;多元分析;区域化;

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