2020
DOI: 10.3390/ani10020297
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Equid Assessment, Research and Scoping (EARS): The Development and Implementation of a New Equid Welfare Assessment and Monitoring Tool

Abstract: The assessment of animal welfare poses numerous challenges, yet an emerging approach is the consolidation of existing knowledge into new frameworks which can offer standardised approaches to welfare assessment across a variety of contexts. Multiple tools exist for measuring the welfare of equids, but such tools have typically been developed for specific contexts. There is no ‘one size fits all’ which means that resulting datasets are generally non-comparable, creating a barrier to knowledge-sharing and collabo… Show more

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Cited by 36 publications
(57 citation statements)
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“…The EARS tool, however, includes assessments for animals in a number of different environments, including animals in production farms, working equids, and companion animals [24]; welfare assessments are required to guide resource allocation for NGOs, for which each of the welfare categories are typically considered individually. Specific welfare improvements will be expected from particular interventions, which can also be linked to specific welfare categories.…”
Section: A Single Welfare Score?mentioning
confidence: 99%
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“…The EARS tool, however, includes assessments for animals in a number of different environments, including animals in production farms, working equids, and companion animals [24]; welfare assessments are required to guide resource allocation for NGOs, for which each of the welfare categories are typically considered individually. Specific welfare improvements will be expected from particular interventions, which can also be linked to specific welfare categories.…”
Section: A Single Welfare Score?mentioning
confidence: 99%
“…Whether or not different welfare categories should compensate for each other draws on the ethical standpoints of utilitarianism and deontology and remains under debate (see Botreau et al [24] for full discussion). To avoid the issue, Botreau et al [31] suggest stopping the aggregation process at criterion (or category) level and thus only allowing compensation between indicators that interact.…”
Section: Single Animal: Within and Between Categoriesmentioning
confidence: 99%
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