Estimating stock status from relative abundance and resilience.

Froese, Rainer , Winker, Henning, Coro, Gianpaolo, Demirel, Nazli, Tsikliras, Athanassios C., Dimarchopoulou, Donna, Scarcella, Giuseppe, Palomares, Maria L. D., Dureuil, Manuel and Pauly, Daniel (2020) Estimating stock status from relative abundance and resilience. Open Access ICES Journal of Marine Science, 77 (2). pp. 527-538. DOI 10.1093/icesjms/fsz230.

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Supplementary data:

Abstract

The Law of the Sea as well as regional and national laws and agreements require exploited populations or stocks to be managed so that they can produce maximum sustainable yields. However, exploitation level and stock status are unknown for most stocks because the data required for full stock assessments are missing. This study presents a new method (AMSY) that estimates relative population size when no catch data are available using time-series of catch-per-unit-effort or other relative abundance indices as the main input. AMSY predictions for relative stock size were not significantly different from the “true” values when compared with simulated data. Also, they were not significantly different from relative stock size estimated by data-rich models in 88% of the comparisons within 140 real stocks. Application of AMSY to 38 data-poor stocks showed the suitability of the method and led to the first assessments for 23 species. Given the lack of catch data as input, AMSY estimates of exploitation come with wide margins of uncertainty which may not be suitable for management. However, AMSY seems to be well suited for estimating productivity as well as relative stock size and may, therefore, aid in the management of data-poor stocks.

Document Type: Article
Research affiliation: OceanRep > GEOMAR > FB3 Marine Ecology > FB3-EV Marine Evolutionary Ecology
Corresponding Author:
Corresponding Author Name
GEOMAR ID
Affiliation
Froese, Rainer
Froese, Rainer
FB3-EV Marine Evolutionary Ecology
Refereed: Yes
Open Access Journal?: No
Publisher: Oxford Univ. Press
Projects: PROTOMEDEA
Date Deposited: 08 Jul 2019 11:21
Last Modified: 31 Jan 2022 09:22
URI: https://oceanrep.geomar.de/id/eprint/47135

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