Learning from the review of Estimating stock status from relative abundance and resilience
Froese R., Winker H., Coro G., Demirel N., Tsikliras A. C., Dimarchopoulou D., Scarcella G., Palomares M. L., Dureuil M., Pauly D.
Fisheries Marine Science Species population Monte Carlo Methods Markov Chain Monte Carlo
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.
Source: Marine and Freshwater Miscellanea II, edited by Pauly D., Ruiz-Leotaud V., pp. 111–124, 2020
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@inbook{oai:it.cnr:prodotti:422988,
title = {Learning from the review of Estimating stock status from relative abundance and resilience},
author = {Froese R. and Winker H. and Coro G. and Demirel N. and Tsikliras A. C. and Dimarchopoulou D. and Scarcella G. and Palomares M. L. and Dureuil M. and Pauly D.},
booktitle = {Marine and Freshwater Miscellanea II, edited by Pauly D., Ruiz-Leotaud V., pp. 111–124, 2020},
year = {2020}
}
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