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Technical contribution: a cautionary note on the use of behavioural diversity (H-Index) in animal welfare science

机译:技术贡献:关于在动物福利科学中使用行为多样性(H-Index)的警告说明

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Animal welfare scientists actively seek reliable and practical metrics that can serve as indicators of animal welfare for use with agricultural, laboratory and zoo-housed animals. Behavioural diversity as a welfare concept originated from early welfare scientists linking poor animal welfare with a high proportion of time spent engaged in stereotyped behaviours and little expression of behaviours that would be expected under wild, or natural conditions. Recently, the concept of behavioural diversity as a welfare indicator has been widely adopted and is frequently quantified by the Shannon-Wiener Diversity Index (H-index). However, the H-Index is fraught with theoretical and mathematical limitations when applied to animal welfare. Four key problems with this metric are demonstrated: the metric's responsivity to the size of the behavioural repertoire and the underlying assumption that larger behavioural repertoires reflect better welfare, the sensitivity of the metric to arbitrary decisions about the resolution of behavioural categories, the fact that the calculation of the metric is agnostic to the valence of behaviours, and the metric's susceptibility to the common practice of excluding some behavioural categories. Moving forward, we recommend focusing on validated welfare measures that are sensitive to valence when evaluating animal welfare.
机译:动物福利科学家积极寻求可靠和实用的指标,可以作为动物福利的指标,以便与农业,实验室和动物园的动物一起使用。作为福利概念的行为多样性起源于早期福利科学家,将贫困动物福利联系起来,在从事陈规定型行为的高比例和野外的行为表达的情况下,或者在野外的行为的表达。最近,作为福利指标的行为多样性的概念已被广泛采用,经常通过香农 - 维纳分集指数(H-Index)量化。然而,当应用于动物福利时,H-Index充满了理论和数学限制。展示了这个度量标准的四个关键问题:度量对行为曲目的大小以及较大的行为曲目的潜在假设的响应性反映了更好的福利,度量对行为类别的分辨率的任意决定的敏感性,即指标的计算对于行为的价值不可知,并且公制对排除某些行为类别的常见做法的敏感性。向前发展,我们建议在评估动物福利时对验证的福利措施侧重于敏感的福利措施。

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