Validating salmon welfare benchmarking systems ensures that the indicators being measured actually reflect welfare states rather than production proxies. Validation research is essential for meaningful benchmarking.
Welfare benchmarking is only meaningful if the indicators being benchmarked actually reflect the welfare states they are assumed to measure. Mortality rate may reflect disease pressure more than welfare quality. Validated indicators that have demonstrated correlation with underlying welfare states provide more reliable benchmarking information. Investment in validation research is as important as investment in monitoring infrastructure.