CAPOT: A flexible rapid assessment model to estimate local deposition of fish cage farm wastes

التفاصيل البيبلوغرافية
العنوان: CAPOT: A flexible rapid assessment model to estimate local deposition of fish cage farm wastes
المؤلفون: Trevor C. Telfer, John Bostock, Robert L.A. Oliver, Richard A. Corner, Lynne Falconer
المصدر: Marine environmental research. 182
سنة النشر: 2022
مصطلحات موضوعية: General Medicine, Aquatic Science, Oceanography, Pollution
الوصف: 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.
تدمد: 1879-0291
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7f0344c3020e40c9b42b38b6c280c8daTest
https://pubmed.ncbi.nlm.nih.gov/36335653Test
حقوق: OPEN
رقم الانضمام: edsair.doi.dedup.....7f0344c3020e40c9b42b38b6c280c8da
قاعدة البيانات: OpenAIRE