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Uncertainty analysis along the ecological quality status of water bodies: The response of the Posidonia oceanica multivariate index (POMI) in three Mediterranean regions

机译:沿水体生态质量状况的不确定性分析:地中海三个地区波西多尼亚海洋多变量指数(POMI)的响应

摘要

Uncertainty analyses allow the identification and quantification of the factors that contribute to the potential misclassification of the ecological status of water bodies, helping to improve the sampling design used in monitoring. Here we used a Posidonia oceanica multivariate index (POMI) bio-monitoring dataset covering a total of 81 sites distributed throughout 28 water bodies from the coast of Catalonia, Balearic Islands and Croatia to determine the levels of uncertainty associated with each region and how they change according to the quality status of water bodies. Overall, variability among sites (meadows) within water bodies was the factor that generated the greatest risk of misclassification among the three regions, within which the Balearic Islands had the lowest uncertainty, followed by Croatia and Catalonia. When water bodies classified in good/high quality were separated from those in moderate/poor status classes, we found that the latter displayed higher levels of uncertainty than the former. © 2012 Elsevier Ltd.
机译:不确定性分析可以识别和量化导致水体生态状况潜在错误分类的因素,从而有助于改进用于监测的采样设计。在这里,我们使用了波西多尼亚海洋多变量指数(POMI)生物监测数据集,该数据集涵盖了分布在加泰罗尼亚,巴利阿里群岛和克罗地亚海岸的28个水域中的总共81个站点,以确定每个区域的不确定性水平及其变化根据水体的质量状况。总体而言,水域内站点(草甸)之间的差异是导致这三个地区分类错误风险最大的因素,在这三个地区,巴利阿里群岛的不确定性最低,其次是克罗地亚和加泰罗尼亚。当将分类为好/高质量的水体与中/差状态的水体分开时,我们发现后者显示的不确定性要高于前者。 ©2012爱思唯尔有限公司。

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