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养殖场中的鱼类福利:来自公平鱼类数据库的潜力、知识空白及其他见解

Fish welfare in farms: potential, knowledge gaps and other insights from the fair-fish database.

作者信息

Maia Caroline Marques, Saraiva João Luis, Gonçalves-de-Freitas Eliane

机构信息

FishEthoGroup Association, Faro, Portugal.

Alianima, São Paulo, Brazil.

出版信息

Front Vet Sci. 2024 Oct 9;11:1450087. doi: 10.3389/fvets.2024.1450087. eCollection 2024.

Abstract

An adequate understanding of fish behaviors and their interaction with farm-specific environments is pivotal for enhancing fish welfare in aquaculture. The fair-fish database aims to provide a consistent overview of the welfare of farmed fish. This platform consolidates ethological knowledge into profiles of farmed aquatic species. Its WelfareCheck profiles are organized around welfare indicators, with each criterion receiving classifications (no findings, unclear, low, medium, and high) regarding the likelihood and potential for individuals of a given species to experience good welfare in aquaculture systems, along with the associated certainty level. These criteria include home range, depth range, migration patterns, reproduction, aggregation patterns, aggressive behavior, substrate needs, stress responses, malformations, and slaughtering protocols. We investigated which of these 10 criteria are most relevant to the overall welfare of a species, considering the likelihood, potential, and certainty of good welfare in aquaculture. To achieve this, we reviewed and recorded the high classifications across each criterion and dimension from all published WelfareCheck profiles. To further investigate knowledge gaps across the criteria, we also recorded classifications marked as and . These were then compared across the criteria to assess the frequency of such classifications. While no significant differences were found between the criteria regarding the likelihood that the surveyed species meet their basic welfare needs, criteria related to reproduction, slaughter practices, and substrate needs demonstrated a high potential for better welfare outcomes. Moreover, reproduction and migration patterns exhibited high certainty in the available literature. Based on these findings, we conclude that improving the reproduction of farmed aquatic species, considering their natural needs and behavior, could be an effective and reliable approach to improving welfare. However, we also found a low certainty of information on aggression and an absence or conflicting data on home range, aggregation patterns, stress, and malformations. This highlights an urgent need for research in these areas, which are fundamental for developing more accurate assessments and recommendations for farmed aquatic species.

摘要

充分了解鱼类行为及其与特定养殖环境的相互作用对于提高水产养殖中的鱼类福利至关重要。公平鱼类数据库旨在提供养殖鱼类福利的统一概述。该平台将行为学知识整合到养殖水生物种的概况中。其福利检查概况围绕福利指标进行组织,每个标准都针对给定物种的个体在水产养殖系统中体验良好福利的可能性和潜力以及相关的确定性水平进行分类(无发现、不清楚、低、中、高)。这些标准包括活动范围、深度范围、洄游模式、繁殖、聚集模式、攻击行为、底物需求、应激反应、畸形和屠宰规程。我们考虑了水产养殖中良好福利的可能性、潜力和确定性,研究了这10个标准中哪些与物种的整体福利最相关。为了实现这一目标,我们审查并记录了所有已发表的福利检查概况中每个标准和维度的高分类。为了进一步调查各标准之间的知识差距,我们还记录了标记为“不清楚”和“低”的分类。然后对这些分类进行跨标准比较,以评估此类分类的频率。虽然在所调查的物种满足其基本福利需求的可能性方面,各标准之间没有发现显著差异,但与繁殖、屠宰做法和底物需求相关的标准显示出改善福利结果的高潜力。此外,繁殖和洄游模式在现有文献中表现出高度的确定性。基于这些发现,我们得出结论,考虑到养殖水生物种的自然需求和行为来改善其繁殖可能是提高福利的一种有效且可靠的方法。然而,我们也发现关于攻击行为的信息确定性较低,并且关于活动范围、聚集模式、应激和畸形方面的数据缺失或相互矛盾。这突出表明迫切需要在这些领域进行研究,这些领域对于为养殖水生物种制定更准确的评估和建议至关重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5451/11496955/d74d3f4e8629/fvets-11-1450087-g001.jpg

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