This contribution presents the detailed responses to the peer-review of Froese et al. (2019) “Estimating stock status from relative abundance and resilience” (ICES J. Mar. Sci. 2019) which outlined a method called “AMSY” for inferring biomass trends for stocks for which only catch-per-unit-effort and limited ancillary (‘priors’) data are available. The responses emphasize that the required priors are legitimate and straightforward to obtain, thus, making AMSY a method of choice in data-sparse situations. This is also a good example of the role of peer-review in validating and improving science.
2020 -
Contribution in volume
Marine and Freshwater Miscellanea II, edited by Pauly D., Ruiz-Leotaud V., pp. 111–124, 2020
Keywords:
fisheries, Marine Science, Species population, Monte Carlo Methods, Markov Chain Monte Carlo
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