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首页> 外文期刊>Hydrobiologia >Young-of-the-year fish assemblages as indicators of anthropogenic disturbances in large tributaries of the Seine River Basin (France)
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Young-of-the-year fish assemblages as indicators of anthropogenic disturbances in large tributaries of the Seine River Basin (France)

机译:塞纳河流域大型支流中的年幼鱼群作为人为干扰的指标(法国)

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摘要

A variety of indices targeting a number of different biological assemblages have been developed to assess aquatic ecosystem condition, identify the drivers of alteration and provide information on possible restoration measures. Fish-based indices, commonly focused on adult assemblages, are capable of indicating declines in condition, but often provide limited information on the ultimate causes for the observed changes. Using young-of-the-year (YOY) fish assemblages has been suggested as a means of improving the sensitivity of fish-based indicators. To verify this assumption, we first model, using boosted regression trees, the occurrence of 16 YOY fish species as a function of twenty two environmental factors in 227 reference (i.e., least disturbed) habitats located in the river Seine (France) and its two main tributaries (i.e., Oise and Marne rivers). We then validate the species models using an independent dataset of 74 reference habitats. Finally, using three independent data sets reflecting different categories of disturbances (i.e., physico-chemical disturbances, physical disturbances induced by navigation and a mix of both disturbances), we measure the deviation between expected and observed species occurrences to evaluate our species models ability in detecting these disturbances. The models are ecologically meaningful and overall perform well in discriminating between reference and disturbed habitats, showing a stable response for all unimpaired habitats and highlighting the main habitat disturbances tested.
机译:已经开发出了针对许多不同生物集合体的各种指数,以评估水生生态系统状况,确定改变的动因并提供有关可能的恢复措施的信息。以鱼为基础的指数通常着眼于成年鱼类,能够表明病情有所下降,但通常对于所观察到的变化的最终原因提供的信息有限。有人建议使用年青鱼组合作为提高基于鱼的指标敏感性的一种手段。为了验证这一假设,我们首先使用增强的回归树,对塞纳河(法国)及其227个参考栖息地中227种参考(即受干扰最少)栖息地中22种环境因素的影响,对16种同龄鱼类的发生进行建模。主要支流(即瓦兹河和马恩河)。然后,我们使用74个参考栖息地的独立数据集验证物种模型。最后,我们使用三个独立的数据集来反映不同类别的干扰(即,物理化学干扰,导航引起的物理干扰以及两种干扰的混合),我们测量了预期和观测物种发生之间的偏差,以评估我们的物种模型能力。检测这些干扰。该模型具有生态学意义,并且在区分参考栖息地和受干扰栖息地方面总体表现良好,对所有未受损的栖息地均表现出稳定的响应,并突出了测试的主要栖息地干扰。

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