A model for optimization of the productivity and bioremediation efficiency of marine integrated multitrophic aquaculture

• Published in: Estuarine, Coastal and Shelf Science
• Main Authors: Lamprianidou, Fani, Telfer, Trevor, Ross, Lindsay
• Other Authors: University of Stirling, Institute of Aquaculture, orcid:0000-0003-1613-9026
• Format: Article in Journal/Newspaper
• Language: English
• Published: Elsevier 2015
• Subjects: IMTA; Ulva; Paracentrotus lividus; Dynamic energy budget; Nitrogen; Modelling; Imta; Atlantic salmon; Salmo salar
• Online Access: http://hdl.handle.net/1893/24075; https://doi.org/10.1016/j.ecss.2015.07.045; http://dspace.stir.ac.uk/bitstream/1893/24075/1/Lamprianidou%20et%20al%202015%20manuscript%20ECSS.pdf

Integrated multitrophic aquaculture (IMTA) has been proposed as a solution to nutrient enrichment generated by intensive fish mariculture. In order to evaluate the potential of IMTA as a nutrient bioremediation method it is essential to know the ratio of fed to extractive organisms required for the removal of a given proportion of the waste nutrients. This ratio depends on the species that compose the IMTA system, on the environmental conditions and on production practices at a target site. Due to the complexity of IMTA the development of a model is essential for designing efficient IMTA systems. In this study, a generic nutrient flux model for IMTA was developed and used to assess the potential of IMTA as a method for nutrient bioremediation. A baseline simulation consisting of three growth models for Atlantic salmon Salmo salar, the sea urchin Paracentrotus lividusand for the macroalgae Ulvasp. is described. The three growth models interact with each other and with their surrounding environment and they are all linked via processes that affect the release and assimilation of particulate organic nitrogen (PON) and dissolved inorganic nitrogen (DIN). The model forcing functions are environmental parameters with temporal variations that enables investigation of the understanding of interactions among IMTA components and of the effect of environmental parameters. The baseline simulation has been developed for marine species in a virtually closed system in which hydrodynamic influences on the system are not considered. The model can be used as a predictive tool for comparing the nitrogen bioremediation efficiency of IMTA systems under different environmental conditions (temperature, irradiance and ambient nutrient concentration) and production practices, for example seaweed harvesting frequency, seaweed culture depth, nitrogen content of feed and others, or of IMTA systems with varying combinations of cultured species and can be extended to open water IMTA once coupled with waste distribution models.