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Application of multiple biological indices for river health assessment in northeastern China

机译:多种生物指标在东北地区河流健康评价中的应用

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Bioassessment has become a hot topic and could provide important information for river management and restoration. In this study, we developed multiple biological indices using three groups of aquatic organisms a?? benthic algae, macroinvertebrates and fish a?? for river health assessment. The main steps for development of multiple biological indices were selection of sensitive indices, optimization of core indices, setting target and critical values for core indices, and calculation of final scores of health condition. In order to evaluate the 19 candidate indices, disturbance gradients were constructed for water contamination, sediment contamination and land use change using principal components analysis. Thirteen indices showed significant and relatively high coefficients of determination with the disturbance gradients using multiple regression analysis (iPi/0.05). Six indices a?? two indices each for benthic algae, macroinvertebrates and fish a?? were finally selected as the core indices using correlation analyses. River health condition scores were assigned to five categories critical, poor, fair, good and excellent. One site was classified as critical and 10.5% of sites were in poor condition. Meanwhile, 45.6% of the sampling sites were classified as fair and 42.1% were either good or excellent. Regression analysis between the final scores and disturbance gradients confirmed the usefulness of multiple biological indices as a confident bioassessment method. Thus, we highly recommend using multiple biological indices to assess river health that will inform river management and restoration strategies.
机译:生物评估已成为一个热门话题,可以为河流管理和恢复提供重要信息。在这项研究中,我们使用三类水生生物a?底栖藻类,大型无脊椎动物和鱼类用于河流健康评估。开发多种生物学指标的主要步骤是选择敏感指标,优化核心指标,设定核心指标的目标值和临界值以及计算健康状况的最终评分。为了评估19个候选指标,使用主成分分析构建了水污染,沉积物污染和土地利用变化的干扰梯度。十三项指标显示出使用多重回归分析确定的具有较高干扰梯度的测定系数( P <0.05)。六个指标底栖藻类,无脊椎动物和鱼类有两个指标?最终通过相关分析将其选为核心指标。河流健康状况评分分为严重,差,一般,良好和优异五个类别。其中一个站点被归为关键站点,而10.5%的站点状况不佳。同时,有45.6%的抽样地点被归类为“公平”,有42.1%的抽样地点为好或优秀。最终得分和干扰梯度之间的回归分析证实了多种生物学指标作为一种有信心的生物评估方法的有用性。因此,我们强烈建议使用多种生物学指标来评估河流健康状况,从而为河流管理和恢复策略提供依据。

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