Estimating stock status from relative abundance and resilience

Author:

Froese Rainer1ORCID,Winker Henning23,Coro Gianpaolo4ORCID,Demirel Nazli5ORCID,Tsikliras Athanassios C6ORCID,Dimarchopoulou Donna6,Scarcella Giuseppe7,Palomares Maria Lourdes Deng8,Dureuil Manuel910,Pauly Daniel8ORCID

Affiliation:

1. Department of Marine Ecology, GEOMAR Helmholtz Centre for Ocean Research, Düsternbrooker Weg 20, Kiel 24105, Germany

2. DEFF—Department of Environment, Forestry and Fisheries, Private Bag X2, Vlaeberg 8018, South Africa

3. Centre for Statistics in Ecology, Environment and Conservation, Department of Statistical Sciences, University of Cape Town, Private Bag X3, Rondebosch, South Africa

4. Department of Engineering, ICT and Technologies for Energy and Transportation, Institute of Information Science and Technologies “A. Faedo”—National Research Council of Italy (ISTI-CNR), Via Moruzzi 1, Pisa 56124, Italy

5. Department of Marine Biology, Institute of Marine Sciences and Management, Istanbul University, Istanbul 34134, Turkey

6. Department of Zoology, Laboratory of Ichthyology, School of Biology, Aristotle University of Thessaloniki, Thessaloniki 54124, Greece

7. Institute for Biological Resources and Marine Biotechnologies - National Research Council of Italy (IRBIM-CNR), L.go Fiera della Pesca, 60125 Ancona, Italy

8. Sea Around Us, Institute for the Ocean and Fisheries, University of British Columbia, 2202 Main Mall, Vancouver, BC V6T 1Z4, Canada

9. Department of Biology, Dalhousie University, 1355 Oxford Street, PO BOX 15000, Halifax, NS B3H 4R2, Canada

10. Sharks of the Atlantic Research and Conservation Centre, Trail, BC V1R 4B1, Canada

Abstract

Abstract The Law of the Sea and 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 [abundance maximum sustainable yields (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.

Funder

Minderoo Foundation

Thalassa Foundation

European DG-MARE funded project

PROTOMEDEA

Publisher

Oxford University Press (OUP)

Subject

Ecology,Aquatic Science,Ecology, Evolution, Behavior and Systematics,Oceanography

Reference49 articles.

1. Catchability: a key parameter for fish stock assessment;Arreguín-Sánchez;Reviews in Fish Biology and Fisheries,1996

2. Still more spawner-recruitment curves: the hockey stick and its generalizations;Barrowman;Canadian Journal of Fisheries and Aquatic Sciences,2000

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