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Smart Nutrient Retention Networks: a novel approach for nutrient conservation through water quality management

机译:智能养分保留网络:一种通过水质管理保护养分的新方法

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摘要

ABSTRACT Nutrients are essential resources for food production but are used inefficiently, and thereby they pollute inland and coastal waters and are lost into the oceans. Nutrient conservation by retention and consecutive reuse would prevent nutrient losses to the atmosphere and downstream ecosystems. We present Smart Nutrient Retention Networks (SNRNs) as a novel management approach to achieve nutrient conservation across networks of connected waterbodies through strategic water quality management. To present the key features of SNRNs, we review existing knowledge of nutrient retention processes in inland waters, water quality management options for nutrient conservation, and nutrient retention models to develop SNRNs. We argue that successful nutrient conservation, even at a local level, through SNRN management strategies requires clearly formulated goals and catchment-wide system understanding. Waterbody characteristics, such as hydraulic residence time and the presence of macrophytes, shape local nutrient retention with potential network-wide cascading effects of improved water quality and are therefore key targets of SNRN management strategies. Nutrient retention models that include the self-reinforcing feedback loop of ecological water quality, nutrient retention, and nutrient loading in networks of inland waters in relation to management options can support the development of SNRNs. We conclude that SNRNs can contribute to sustainable use of nutrients in human food production.
机译:抽象的营养是必不可少的参考资料使用粮食生产但效率低下因此它们内陆和沿海水域污染和丢失到海洋。保护的保留和连续重用会阻止营养损失大气和下游生态系统。营养保留网络(SNRNs)作为一个小说实现营养管理方法在网络连接的保护通过战略水质水体管理。我们审查现有的营养知识保留流程内河,水为营养质量管理选项保护和营养保留模型SNRNs发展。保护,甚至在当地的水平,通过SNRN管理策略需要明确制定目标和catchment-wide系统的理解。严禁特征,如液压停留时间和大型植物的存在,形状局部营养保留与潜力全网级联改善水的影响质量,因此SNRN的关键目标管理策略。包括自我强化的恶性循环生态水质、营养保留,和营养负荷网络的内陆水域相对于管理选项可以支持SNRNs的发展。有助于可持续利用的营养人类的粮食生产。

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