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M-三体:沉积物质量三联体的改进。

M-Triad: An improvement of the sediment quality triad.

机构信息

Rua Carvalho de Mendonça 144, 11070-102 Santos, Instituto do Mar, Universidade Federal de São Paulo, Brazil.

Rua Carvalho de Mendonça 144, 11070-102 Santos, Instituto do Mar, Universidade Federal de São Paulo, Brazil.

出版信息

Sci Total Environ. 2021 May 20;770:145245. doi: 10.1016/j.scitotenv.2021.145245. Epub 2021 Jan 20.

Abstract

The traditional sediment quality triad generally uses three lines of evidence (LOE) in the assessment, integrating environmental chemistry, ecology and ecotoxicology. However the assessment is performed without considering the multivariate structure within LOE. In order to improve the sediment quality assessment, the M-Triad is proposed. Instead of averaging the values within a LOE, the new approach is based on the Euclidean distance between each sampling station and the reference station (s) for each LOE. These distances are then plotted in a radar-chart to obtain the area of the triangle and the quality assessment is subsequently obtained from the difference between the triangle areas of the impacted and the reference station. Three studies were selected to test the applicability of the M-Triad. In two cases, the M-Triad returned a more realistic ranking of the stations as observed in the principal component analysis (PCA) from each LOE By including the Euclidean distance, the use of M-Triad is advantageous when multiple variables with negative or uncorrelated patterns within a LOE are analyzed simultaneously. The combination of the M-Triad and the results of the PCA allows one to identify multiple contamination gradients and how biota and bioassays respond to each of these gradients. In comparison to the traditional method, the M-Triad reduces the uncertainty of the final analysis, permitting a more comprehensive ecological assessment.

摘要

传统的沉积物质量三联体通常使用三条证据线 (LOE) 进行评估,整合环境化学、生态学和生态毒理学。然而,在评估过程中没有考虑到 LOE 内的多变量结构。为了改进沉积物质量评估,提出了 M-三联体。新方法不是在 LOE 内平均每个值,而是基于每个 LOE 中每个采样站与参考站之间的欧几里得距离。然后将这些距离绘制在雷达图中,以获得三角形的面积,随后从受影响和参考站的三角形面积之间的差异中获得质量评估。选择了三项研究来测试 M-三联体的适用性。在两种情况下,M-三联体通过主成分分析 (PCA) 返回了更现实的车站排名,从每个 LOE 中观察到。通过包含欧几里得距离,当同时分析 LOE 内具有负相关或不相关模式的多个变量时,M-三联体的使用具有优势。M-三联体和 PCA 结果的结合可以识别多个污染梯度以及生物区系和生物测定如何对每个梯度做出响应。与传统方法相比,M-三联体减少了最终分析的不确定性,从而可以进行更全面的生态评估。

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