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Hydrodynamic method for estimating production carrying capacity of coastal finfish cage aquaculture in Southeast Asia
Institution:1. Korea Institute of Ocean Science and Technology, Busan, Republic of Korea;2. Sekwang Engineering Consultants CO., LTD, Seoul, Republic of Korea;1. Aquatic Sciences, South Australian Research and Development Institute, 2 Hamra Avenue, West Beach, South Australia 5024, Australia;2. School of Mathematical Sciences, University of Adelaide, Adelaide, South Australia, Australia;1. Department of Biotechnology Engineering, ORT Braude College of Engineering, Karmiel 2161002, Israel;2. Algae-Smart Ltd., Algae-Fish Lab, Meir Shfeya, 3080600, Israel;1. Graduate School of Agriculture, Kindai University, 3327-204, Nakamachi, Nara 631-8505, Japan;2. Skretting Co., Ltd., 3-12-1, Hakata-eki Higashi Hakata, Fukuoka, 812-0013, Japan;3. Faculty of Fisheries Sciences, Hokkaido University, 3-1-1, Minato, Hakodate, Hokkaido 041-8611, Japan;4. Shirahama Experiment Station, Aquaculture Research Institute, Kindai University, 3153, Shirahama, Wakayama 649-2211, Japan;5. Ohshima Experiment Station, Aquaculture Research Institute, Kindai University, 1790-4, Ohshima, Kushimoto, Wakayama 649-3633, Japan;6. National Research Institute of Far Seas Fisheries, Japan Fisheries Research and Education Agency, 5-7-1 Shimizu, Shizuoka 424-8633, Japan;1. Aquaculture and Fisheries Group, Department of Animal Sciences, Wageningen University and Research, PO Box 338, 6700AH Wageningen, the Netherlands;2. Farm Technology Group, Department of Plant Sciences, Wageningen University and Research, P.O. Box 16, 6700 AA Wageningen, the Netherlands;1. Department of Biological and Environmental Science, University of Jyväskylä, P.O. Box 35, 40014Jyväskylä, Finland;2. Natural Resources Institute Finland (LUKE), Survontie 9A, 40500Jyväskylä, Finland
Abstract:This paper presents the development of a simple and generally applicable hydrodynamic method for the estimation of production carrying capacity (PCC) of coastal finfish cage aquaculture. Dimensional analysis was used to find significant and general interdependencies between the hydrodynamics at fish farm locations and particulate wastes deposited on the seafloor by fish farms. Modeled ratios of deposition to emission of particulate wastes underneath fish farms were found to be primarily a function of the flow Reynolds numbers at the farming locations and the non-dimensional settling velocity of emitted wastes. In the non-dimensional model, farming conditions include daily feed rate, proportion of unconsumed feed, and carbon content in feed and fish feces. The relationship can be used to estimate the PCC of floating net cages imposing a threshold value for deposition. Results of in-situ assessments of the benthic impacts of several fish farms in an aquaculture site in the northwest of Bali, Indonesia were used to validate and demonstrate the effectiveness of the method. Predicted results were able to clearly identify fish farms operating beyond ecologically sustainable carrying capacity. The proposed method has broad applicability and could help make decisions regarding the estimation of production potential of individual farms in pristine areas, for providing first estimates in sites that have scarce data, and for assessment, expansion, and optimization of the currently operating aquaculture sites in Southeast Asia, China and potentially other data-poor island nations. As the method relies on dynamic models, it enables straightforward assessments over the entire aquaculture region.
Keywords:Finfish cage aquaculture  Production carrying capacity  Assessment of benthic impacts  Field validation  Pegametan Bay Indonesia
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