TY - JOUR
T1 - Smart Nutrient Retention Networks
T2 - a novel approach for nutrient conservation through water quality management
AU - van Wijk, Dianneke
AU - Teurlincx, Sven
AU - Brederveld, Robert J.
AU - de Klein, Jeroen J.M.
AU - Janssen, Annette B.G.
AU - Kramer, Lilith
AU - van Gerven, Luuk P.A.
AU - Kroeze, Carolien
AU - Mooij, Wolf M.
PY - 2022/1/2
Y1 - 2022/1/2
N2 - 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.
AB - 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.
KW - ecological feedbacks
KW - hydrological networks
KW - inland waters
KW - models
KW - nutrient reuse
KW - smart management
UR - https://doi.org/10.6084/m9.figshare.14459575
U2 - 10.1080/20442041.2020.1870852
DO - 10.1080/20442041.2020.1870852
M3 - Article
AN - SCOPUS:85104780418
SN - 2044-2041
VL - 12
SP - 138
EP - 153
JO - Inland Waters
JF - Inland Waters
IS - 1
ER -