Modelling spatial variability of cultivated Saccharina latissima in a Dutch coastal bay shows benefits of co-cultivation with shellfish

Author:

Jiang Long123ORCID,Jansen Henrice M45,Broch Ole Jacob6,Timmermans Klaas R3,Soetaert Karline3

Affiliation:

1. Key Laboratory of Ministry of Education for Coastal Disaster and Protection, Hohai University , Nanjing 210098 , China

2. Key Laboratory of Marine Hazards Forecasting, Ministry of Natural Resources, Hohai University , Nanjing 210098 , China

3. Department of Estuarine and Delta Systems, NIOZ Royal Netherlands Institute for Sea Research , 4400 AC Yerseke , The Netherlands

4. Wageningen Marine Research, Wageningen University & Research , 4400 AB Yerseke , The Netherlands

5. Aquaculture and Fisheries Group, Department of Animal Sciences, Wageningen University & Research , 6700 AH Wageningen , The Netherlands

6. SINTEF Ocean, Environment and New Resources , 7465 Trondheim , Norway

Abstract

Abstract Cultivation of Saccharina latissima, a brown macroalga, is fast developing in Europe and North America for the sustainable production of food and biorefinery materials and important ecosystem services. Prior studies have demonstrated large spatial variability in the yield and chemical composition of the cultivated S. latissima, even within a small coastal bay. Using a validated hydrodynamic-biogeochemical-kelp model, this study examined main drivers of the spatial variability in S. latissima growth dynamics in 40 hypothetical farms throughout a Dutch coastal bay, the Eastern Scheldt. Results indicate that temperature plays a primary role in driving the spatial variability. For example, S. latissima yield in the deeper and better flushed western part is more than double that in the eastern part, mainly due to its 2–3°C warmer seawater in winter. It is also found that S. latissima benefits from co-cultivation with shellfish, since nutrients excreted by shellfish replenish its nitrogen reserve, which fuels a relatively high growth rate in the nitrogen-depleted late spring. The model assessment offers insight into optimal potential locations of S. latissima farms in the Eastern Scheldt. Applicability of our modelling approach to other coastal ecosystems and possible further improvements for assisting in seaweed farming practice are discussed.

Funder

European Commission

H2020 Research Infrastructures

National Natural Science Foundation of China

Fundamental Research the Natural Science Foundation of Jiangsu Province

Funds for the Central Universities at Hohai University

Key Laboratory of Ministry of Education for Coastal Disaster and Protection

Hohai University

Publisher

Oxford University Press (OUP)

Subject

Ecology,Aquatic Science,Ecology, Evolution, Behavior and Systematics,Oceanography

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