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.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
852应助momo采纳,获得10
刚刚
传奇3应助Joshua采纳,获得10
刚刚
mzf发布了新的文献求助10
1秒前
2秒前
怎么都有名字了完成签到 ,获得积分10
2秒前
烟花应助葛蓉采纳,获得20
2秒前
苯氮小羊完成签到,获得积分10
2秒前
量子星尘发布了新的文献求助10
3秒前
英姑应助12采纳,获得10
4秒前
5秒前
5秒前
6秒前
SciGPT应助体贴的嵩采纳,获得30
6秒前
6秒前
Dai WJ发布了新的文献求助10
7秒前
7秒前
Maria完成签到,获得积分10
7秒前
脑洞疼应助qqq采纳,获得30
7秒前
7秒前
doo完成签到,获得积分10
8秒前
9秒前
爆米花应助西瓜采纳,获得10
9秒前
无花果应助舒适大米采纳,获得10
9秒前
10秒前
无聊的访枫完成签到 ,获得积分10
10秒前
科研通AI5应助Leechii采纳,获得10
10秒前
lililiwithin完成签到,获得积分20
11秒前
12秒前
Joshua发布了新的文献求助10
12秒前
qian发布了新的文献求助10
12秒前
13秒前
Xiang完成签到,获得积分10
13秒前
KYG发布了新的文献求助10
13秒前
14秒前
苏苏完成签到,获得积分10
14秒前
北侨发布了新的文献求助10
14秒前
TOP完成签到,获得积分10
14秒前
拉长的诗蕊完成签到,获得积分10
15秒前
要减肥的飞松完成签到,获得积分20
15秒前
科研通AI6应助xiong采纳,获得10
15秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Target genes for RNAi in pest control: A comprehensive overview 500
A novel angiographic index for predicting the efficacy of drug-coated balloons in small vessels 500
Textbook of Neonatal Resuscitation ® 500
The Affinity Designer Manual - Version 2: A Step-by-Step Beginner's Guide 500
Affinity Designer Essentials: A Complete Guide to Vector Art: Your Ultimate Handbook for High-Quality Vector Graphics 500
Optimisation de cristallisation en solution de deux composés organiques en vue de leur purification 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 内科学 生物化学 物理 计算机科学 纳米技术 遗传学 基因 复合材料 化学工程 物理化学 病理 催化作用 免疫学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 5085989
求助须知:如何正确求助?哪些是违规求助? 4301985
关于积分的说明 13406124
捐赠科研通 4127017
什么是DOI,文献DOI怎么找? 2260142
邀请新用户注册赠送积分活动 1264286
关于科研通互助平台的介绍 1198463