Bergsson Heiðrikur, Svendsen Morten Bo Søndergaard, Steffensen John Fleng
Marine Biological Section, Department of Biology, University of Copenhagen, DK-3000 Elsinore, Denmark.
Hiddenfjord, Við Ánna 1, FO-512 Norðragøta, Faroe Islands.
Biology (Basel). 2023 Nov 8;12(11):1408. doi: 10.3390/biology12111408.
To ensure optimal feed intake, growth, and general fish health in aquaculture sea cages, interactions between drivers that affect oxygen conditions need to be understood. The main drivers are oxygen consumption and water exchange, caused by flow through the cage. Swimming energetics in rainbow trout () in normoxia and hypoxia at 10, 15, and 20 °C were determined. Using the determinations, a conceptual model of oxygen conditions within sea cages was created. By applying the model to a case study, results show that with a temperature increase of 10 °C, oxygen concentration will decrease three times faster. To maintain optimal oxygen concentration within the cage, the flow velocity must be increased by a factor of 3.7. The model is highly relevant for current farms since the model predictions can explain why and when suboptimal conditions occur within the cages. Using the same method, the model can be used to estimate the suitability of potential new aquaculture sites.
为确保水产养殖海水网箱中鱼类的最佳采食量、生长及整体健康状况，需要了解影响氧气条件的各种因素之间的相互作用。主要因素是网箱水流引起的氧气消耗和水交换。测定了虹鳟在10℃、15℃和20℃的常氧和低氧条件下的游泳能量学。基于这些测定结果，建立了海水网箱内氧气条件的概念模型。通过将该模型应用于一个案例研究，结果表明，温度每升高10℃，氧气浓度下降速度将加快两倍。为保持网箱内的最佳氧气浓度，流速必须提高3.7倍。该模型对当前养殖场具有高度相关性，因为模型预测可以解释网箱内何时以及为何会出现次优条件。使用相同方法，该模型可用于评估潜在新水产养殖场地的适宜性。
