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Smart Nutrient Retention Networks: a novel approach for nutrient conservation through water quality management
Inland Waters ( IF 2.7 ) Pub Date : 2021-04-21 , DOI: 10.1080/20442041.2020.1870852
Dianneke van Wijk 1, 2, 3 , Sven Teurlincx 2 , Robert J. Brederveld 4 , Jeroen J. M. de Klein 3 , Annette B. G. Janssen 1 , Lilith Kramer 2, 3, 5 , Luuk P. A. van Gerven 6 , Carolien Kroeze 1 , Wolf M. Mooij 2, 3
Affiliation  

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.



中文翻译:

智能养分保留网络:通过水质管理保护养分的新方法

摘要

营养物是粮食生产的重要资源,但使用效率低下,因此会污染内陆和沿海水域,并流失到海洋中。通过保留和连续重复使用来保存养分将防止养分流失到大气和下游生态系统中。我们将智能养分保留网络 (SNRN) 作为一种新颖的管理方法,通过战略性水质管理实现跨连接水体网络的养分保护。为了介绍 SNRN 的主要特征,我们回顾了内陆水域养分保留过程的现有知识、养分保护的水质管理选项以及开发 SNRN 的养分保留模型。我们认为,即使在地方层面,成功的养分保护,通过 SNRN 管理策略需要明确制定的目标和对全流域系统的理解。水体特征,例如水力停留时间和大型植物的存在,塑造了局部养分保留,并具有改善水质的潜在全网级联效应,因此是 SNRN 管理策略的关键目标。包括与管理选项相关的内陆水域网络中的生态水质、养分保留和养分负荷的自我强化反馈回路的养分保留模型可以支持 SNRN 的发展。我们得出结论,SNRN 有助于人类食品生产中营养物质的可持续利用。通过改善水质的潜在全网络级联效应塑造当地养分保留,因此是 SNRN 管理策略的关键目标。包括与管理选项相关的内陆水域网络中的生态水质、养分保留和养分负荷的自我强化反馈回路的养分保留模型可以支持 SNRN 的发展。我们得出结论,SNRN 有助于人类食品生产中营养物质的可持续利用。通过改善水质的潜在全网络级联效应塑造当地养分保留,因此是 SNRN 管理策略的关键目标。包括与管理选项相关的内陆水域网络中的生态水质、养分保留和养分负荷的自我强化反馈回路的养分保留模型可以支持 SNRN 的发展。我们得出结论,SNRN 有助于人类食品生产中营养物质的可持续利用。与管理方案相关的内陆水域网络中的养分负荷和养分负荷可以支持 SNRN 的发展。我们得出结论,SNRN 有助于人类食品生产中营养物质的可持续利用。与管理方案相关的内陆水域网络中的养分负荷和养分负荷可以支持 SNRN 的发展。我们得出结论,SNRN 有助于人类食品生产中营养物质的可持续利用。

更新日期:2021-04-21
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