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CAPOT:一种用于估算鱼笼养殖场废物局部沉积的灵活快速评估模型。

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

作者信息

Telfer Trevor C, Bostock John, Oliver Robert L A, Corner Richard A, Falconer Lynne

机构信息

Institute of Aquaculture, University of Stirling, Stirling, FK9 4LA, UK.

Institute of Aquaculture, University of Stirling, Stirling, FK9 4LA, UK.

出版信息

Mar Environ Res. 2022 Dec;182:105788. doi: 10.1016/j.marenvres.2022.105788. Epub 2022 Oct 27.

DOI:10.1016/j.marenvres.2022.105788
PMID:36335653
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.

摘要

网箱养殖颗粒物输出与传输(CAPOT)模型是一个易于使用且灵活的养殖场规模模型,能够快速估算网箱养殖产生的颗粒废物沉积量。本文对该模型进行了描述和测试,并展示了其在大西洋鲑(Salmo salar)和大西洋鳕(Gadus morhua)养殖中的应用。这个基于电子表格的模型以多种空间建模软件格式给出废物分布的输出结果,用于进一步分析。该模型在商业性的大西洋鳕养殖场和商业性的大西洋鲑养殖场的全生产条件下进行了测试。沉积物捕获器数据显示,使用实际记录的饲料和生物量数据,对于距离网箱边缘5米以外的大西洋鳕,预测结果与之相似性为96%(±36%),对养殖场附近的局部底栖生物影响给出了令人满意的估计。对于大西洋鲑,使用估计的生产生物量和饲料转化率(FCR)来计算饲料投入,该模型高估了网箱正下方的废物量(120% ± 148%),而低估了距离网箱边缘5米以外的废物量,与沉积物捕获器数据的相似性为48%(±42%)。CAPOT是一个合适的初始快速评估模型,可让众多利益相关者在几乎无需操作人员专业知识的情况下,概览新建或扩建网箱养殖场颗粒废物的潜在影响。

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引用本文的文献

1
Real-world waste dispersion modelling for benthic integrated multi-trophic aquaculture.基于真实世界的底栖综合多营养水产养殖废物扩散模型。
PLoS One. 2024 May 23;19(5):e0303538. doi: 10.1371/journal.pone.0303538. eCollection 2024.