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A fast-response methodological approach to assessing and managing nutrient loads in eutrophic Mediterranean reservoirs

机译:一种快速响应的方法学方法,用于评估和管理富营养化地中海水库中的营养负荷

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With many lakes and other inland water bodies worldwide being increasingly affected by eutrophication resulting from excess nutrient input, there is an urgent need for improved monitoring and prediction methods of nutrient load effects in such ecosystems. In this study, we adopted a catchment-based approach to identify and estimate the direct effect of external nutrient loads originating in the drainage basin on the trophic state of a Mediterranean reservoir. We also evaluated the trophic state variations related to the theoretical manipulation of nutrient inputs. The study was conducted on Lake Cedrino, a typical warm monomictic reservoir, between 2010 and 2011. We assessed the hypereutrophic condition of the reservoir by monthly samplings of the water column and compared these results with the amount of nutrient load originating from anthropic activities in the drainage basin [42.6 t P y(-1) for total phosphorus (P) and 531 t N y(-1) for total nitrogen (N)]. We verified how the predictive OECD management model could be confidently applied to predict the P concentration in the reservoir on the basis of estimated loads from the drainage basin (98.7 mg P m(-3) assessed versus 101 mg P m-3 estimated, approximately 2.5% over). Different scenarios are presented showing how it is possible to reduce approximately 62% P and 43% N, altering the condition of the ecosystem to become more mesotrophic. We also propose some management strategies to improve water quality in this lake ecosystem. (C) 2015 Elsevier B.V. All rights reserved.
机译:随着世界范围内许多湖泊和其他内陆水域越来越受到营养物过量输入造成的富营养化的影响,迫切需要改进此类生态系统中营养物负荷影响的监测和预测方法。在这项研究中,我们采用了一种基于流域的方法来识别和估算源自流域的外部养分负荷对地中海水库营养状态的直接影响。我们还评估了与营养素输入理论操作有关的营养状态变化。这项研究是在2010年至2011年之间对典型的温暖单性水库Cedrino湖进行的。我们通过每月对水柱进行采样来评估水库的富营养化状况,并将这些结果与人类活动中养分负荷的数量进行比较。流域[总磷(P)为42.6 t P y(-1),总氮(N)为531 t N y(-1)]。我们验证了预测性OECD管理模型如何根据流域的估计负荷(评估的98.7 mg P m(-3)与估计的101 mg P m-3相比,可以放心地用于预测储层中的P浓度。 2.5%以上)。呈现了不同的场景,显示了如何减少大约62%的P和43%的N,从而改变了生态系统的状况,使其变得更具营养性。我们还提出了一些管理策略来改善该湖泊生态系统的水质。 (C)2015 Elsevier B.V.保留所有权利。

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