Article
Details
Citation
Telfer TC, Bostock J, Oliver RLA, Corner RA & Falconer L (2022) CAPOT: A flexible rapid assessment model to estimate local deposition of fish cage farm wastes. Marine Environmental Research, 182, Art. No.: 105788. https://doi.org/10.1016/j.marenvres.2022.105788
Abstract
The Cage Aquaculture Particulate Output and Transport (CAPOT) model is an easy to use and flexible farm-scale model that can rapidly estimate particulate waste deposition from fish cage production. This paper describes and tests the model and demonstrates its use for Atlantic salmon (Salmo salar) and Atlantic cod (Gadus morhua). The spreadsheet-based model gives outputs for waste distribution in a variety of spatial modelling software formats, used for further analysis. The model was tested at a commercial Atlantic cod farm and commercial Atlantic salmon farm under full production conditions. Sediment trap data showed predictions, using actual recorded feed and biomass data, to be 96% (±36%) similar for Atlantic cod beyond 5 m from the cage edge, giving a satisfactory estimate of local benthic impact in the vicinity of the farm. For Atlantic salmon, using estimated production biomass and FCR (Feed Conversion Ratio) to calculate feed input, the model overestimated wastes directly beneath the cages (120% ± 148%) and underestimated beyond 5 m from the cage edge, being 48% (±42%) similar to sediment trap data. CAPOT is a suitable initial, rapid assessment model to give an overview of potential impact of particulate waste from new or expanded fish cage farms, with little operator expertise by a wide range of stakeholders.
Keywords
Pollution; Aquatic Science; General Medicine; Oceanography
Journal
Marine Environmental Research: Volume 182
Status | Published |
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Funders | European Commission (Horizon 2020), NERC Natural Environment Research Council, Seafish UK and Highlands and Islands Enterprise |
Publication date | 31/12/2022 |
Publication date online | 27/10/2022 |
Date accepted by journal | 22/10/2022 |
URL | http://hdl.handle.net/1893/34676 |
Publisher | Elsevier BV |
ISSN | 0141-1136 |
People (2)
Research Fellow, Institute of Aquaculture
Professor, Institute of Aquaculture