Premises for digital twins reporting on Atlantic salmon wellbeing

萨尔莫 无聊 动物福利 认知 福利 囚禁 水产养殖 心理学 渔业 生态学 环境资源管理 社会心理学 生物 经济 神经科学 市场经济
作者
Jarl Giske,Magda L. Dumitru,Katja Enberg,Ole Folkedal,Sigurd O. Handeland,Andrew D. Higginson,Anders Frugård Opdal,Ivar Rønnestad,Anne Gro Vea Salvanes,Knut Wiik Vollset,Fabio M Zennaro,Marc Mangel,Sergey Budaev
出处
期刊:Behavioural Processes [Elsevier BV]
卷期号:226: 105163-105163
标识
DOI:10.1016/j.beproc.2025.105163
摘要

Many species of fish, birds and mammals commonly live in human captivity; Atlantic salmon Salmo salar is one of them. The international legal status of the welfare of captive animals is slowly developing and still requires rigorous specification. For example, even though fish have complex cognition and elements of sentience, The United Nations' animal welfare principles still take a functional health-centred perspective overlooking the cognitive-affective component. Wellbeing problems remain a major source of slow growth and high mortality in intensive aquaculture of Atlantic salmon. The value system for decision making in vertebrates is based on expectations of emotional wellbeing for the options available and is linked with the individual's assessment of its future. We propose a new approach for monitoring and improving the welfare of salmon (or any other captive or wild vertebrate) based on modelling the salmon's wellbeing system by digital twins, which are simulation models that implement major bodily mechanisms of the organism. Indeed, predictions on boredom, stress and wellbeing can all be captured by a computational evolutionary model of the factors underlying behaviour. We explain how such an agent-based model of salmon digital twins can be constructed by modelling a salmon's subjective wellbeing experience along with prediction of its near future and allostasis (the bodily preparation for the expected near future). We attempt to identify the building blocks required in digital twin models to deliver early warnings about escalating issues that could eventually lead to negative effects on salmon health in aquaculture. These models would provide critical insights for optimizing production processes and could significantly reduce the reliance on animal experiments. Overall, reports of a population of digital twins could support the implementation of 3Rs - replacement, reduction, refinement - by offering actionable information to fish farmers as well as consumers, voters, politicians and regulators on relevant issues as well as guide experimental work on animal wellbeing across species.
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