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Articles 1 - 3 of 3
Full-Text Articles in Life Sciences
Addressing The Challenges Of Conducting Observational Studies In Sheep Abattoirs, Elyssa Payne, Melissa Starling, Paul Mcgreevy
Addressing The Challenges Of Conducting Observational Studies In Sheep Abattoirs, Elyssa Payne, Melissa Starling, Paul Mcgreevy
in Situ Research Models Collection
The competing needs of maintaining productivity within abattoirs, and maintaining high standards of animal welfare, provide fertile grounds for applied research in animal behavior. However, there are challenges involved in capturing useful behavioral data from the supply chain (from paddock to processing plant). The challenges identified in this report are based on a review of the scientific literature as well as field study observations. This article describes those challenges as they relate to collecting behavioral data on livestock-herding dogs, humans and livestock as they interact in abattoirs, and provides insights and recommendations for others embarking on animal studies in confined …
The Emotional Brain Of Fish, Sonia Rey Planellas
The Emotional Brain Of Fish, Sonia Rey Planellas
Animal Sentience
Woodruff (2017) analyzes structural homologies and functional equivalences between the brains of mammals and fish to understand where sentience and social cognition might reside in teleosts. He compares neuroanatomical, neurophysiological and behavioural correlates. I discuss current advances in the study of fish cognitive abilities and emotions, and advocate an evolutionary approach to the underlying basis of sentience in teleosts.
A Risk Assessment And Phylogenetic Approach, Culum Brown
A Risk Assessment And Phylogenetic Approach, Culum Brown
Animal Sentience
The precautionary principal is often invoked when talking about the evidence of sentience in animals, largely because we can never be certain what any animal is thinking or feeling. Birch (2017) offers a preliminary framework for the use of the precautionary principal for animal sentience combining an epistemic rule with a decision rule. I extend this framework by adding an evolutionary phylogentic approach which spreads the burden of proof across broad taxonomic groups and a risk assessment component which magnifies the likely impact by the number of animals involved.