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.

Learning from the review of Estimating stock status from relative abundance and resilience

Coro G;Scarcella G;
2020

Abstract

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
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
Istituto per le Risorse Biologiche e le Biotecnologie Marine - IRBIM
Fisheries
Marine Science
Species population
Monte Carlo Methods
Markov Chain Mon
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/408420
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