| Literature DB >> 29621140 |
Abstract
Naturalness is considered important for animals, and is one criterion for assessing how we care for them. However, it is a vague and ambiguous term, which needs definition and assessments suitable for scientific and ethical questions. This paper makes a start on that aim. This paper differentiates the term from other related concepts, such as species-typical behaviour and wellbeing. It identifies contingent ways in which naturalness might be used, as: (i) prompts for further welfare assessment; (ii) a plausible hypothesis for what safeguards wellbeing; (iii) a threshold for what is acceptable; (iv) constraints on what improvements are unacceptable; and (v) demarcating what is not morally wrong, because of a lack of human agency. It then suggests an approach to evaluating animals' behaviour that is quantitative, is based on reality, and which assesses naturalness by degrees. It proposes classing unaffected wild populations as natural by definition. Where animals might have been affected by humans, they should be compared to the closest population(s) of unaffected animals. This approach could allow us both to assess naturalness scientifically, and to make practical decisions about the behaviour of domestic animals.Entities:
Keywords: animal welfare; natural behaviour; naturalness; species-specific behaviour; wellbeing
Year: 2018 PMID: 29621140 PMCID: PMC5946137 DOI: 10.3390/ani8040053
Source DB: PubMed Journal: Animals (Basel) ISSN: 2076-2615 Impact factor: 2.752
Steps for Assessment of Naturalness of Animal Behaviour.
| No. | Questions | ||
|---|---|---|---|
| 1 | Identify whether subject population is unaffected | ||
| 2 | If subject population unaffected: | If subject population evidently affected: | If subject population possibly affected: |
| Process complete | → Step 3 | ||
| 3 | Characterise the (range of) behaviour within the unaffected population | ||
| 4 | Characterise the (range of) behaviour within the assessed population | ||
| 5 | For behaviours that are identical | ||
| 6 | For behaviours that are not identical: | ||
| 7 | Subtract the overall dissimilarity score from the overall similarity score | ||
Figure 1Quantitative assessment of behaviours relative to the behaviour of an unaffected population for two hypothetical traits.