Harvest control rules for data limited stocks using length-based reference points and survey biomass indices. Jardim, E., Azevedo, M., & Brites, N. M. FISHERIES RESEARCH, 171(SI):12-19, ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS, NOV, 2015. doi abstract bibtex There are a large number of commercially exploited stocks lacking quantitative assessments and reliable estimates of stock status. Providing MSY-based advice for these data-limited stocks remains a challenge for fisheries science. For many data-limited stocks, catch length composition and/or survey biomass indices or catch-per-unit effort (cpue) are available. Information on life history traits may also be available or borrowed from similar species/stocks. In this work we present three harvest control rules (HCRs), driven by indicators derived from key monitoring data. These were tested through simulation using two exploitation scenarios (development and over-exploitation) applied to 50 stocks (pelagic, demersal, deep sea species and Nephrops). We examine the performance of the HCRs to deliver catch-based advice that is risk adverse and drives stocks to MSY. The HCR with a biomass index-adjusted status quo catch, used to provide catch-based advice for several European data-limited stocks, showed the poorest performance, keeping the biomass at low or very low levels. The HCRs that adjust the status quo catch based on the variability of the biomass index time series was able to drive most of the stocks to MSY, showing low to moderate biological risk. The recovery of biomass required asymmetric confidence intervals for the biomass index and larger decreases in status quo catch than increases. The HCR based on length reference points as proxies for the F-SQ/F-msy ratio was able to reverse the decreasing trend in biomass but with levels of catch below MSY. This HCR did not prevent some of the stocks declining when subject to over-exploitation. For data-limited stocks, the empirical HCRs tested in this work can provide the basis for catch advice. Nevertheless, applications to real life cases require simulation testing to be carried out to tune the HCRs. Our approach to simulation testing can be used for such analysis. (C) 2014 Elsevier B.V. All rights reserved.
@article{ ISI:000361257300003,
Author = {Jardim, Ernesto and Azevedo, Manuela and Brites, Nuno M.},
Title = {{Harvest control rules for data limited stocks using length-based
reference points and survey biomass indices}},
Journal = {{FISHERIES RESEARCH}},
Year = {{2015}},
Volume = {{171}},
Number = {{SI}},
Pages = {{12-19}},
Month = {{NOV}},
Abstract = {{There are a large number of commercially exploited stocks lacking
quantitative assessments and reliable estimates of stock status.
Providing MSY-based advice for these data-limited stocks remains a
challenge for fisheries science. For many data-limited stocks, catch
length composition and/or survey biomass indices or catch-per-unit
effort (cpue) are available. Information on life history traits may also
be available or borrowed from similar species/stocks. In this work we
present three harvest control rules (HCRs), driven by indicators derived
from key monitoring data. These were tested through simulation using two
exploitation scenarios (development and over-exploitation) applied to 50
stocks (pelagic, demersal, deep sea species and Nephrops). We examine
the performance of the HCRs to deliver catch-based advice that is risk
adverse and drives stocks to MSY. The HCR with a biomass index-adjusted
status quo catch, used to provide catch-based advice for several
European data-limited stocks, showed the poorest performance, keeping
the biomass at low or very low levels. The HCRs that adjust the status
quo catch based on the variability of the biomass index time series was
able to drive most of the stocks to MSY, showing low to moderate
biological risk. The recovery of biomass required asymmetric confidence
intervals for the biomass index and larger decreases in status quo catch
than increases. The HCR based on length reference points as proxies for
the F-SQ/F-msy ratio was able to reverse the decreasing trend in biomass
but with levels of catch below MSY. This HCR did not prevent some of the
stocks declining when subject to over-exploitation. For data-limited
stocks, the empirical HCRs tested in this work can provide the basis for
catch advice. Nevertheless, applications to real life cases require
simulation testing to be carried out to tune the HCRs. Our approach to
simulation testing can be used for such analysis. (C) 2014 Elsevier B.V.
All rights reserved.}},
Publisher = {{ELSEVIER SCIENCE BV}},
Address = {{PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Jardim, E (Reprint Author), Commiss European Communities, Joint Res Ctr, Inst Protect \& Secur Citizen, Maritime Affairs Unit, TP 051, I-21027 Ispra, VA, Italy.
Jardim, Ernesto; Azevedo, Manuela; Brites, Nuno M., IPMA, P-1449006 Lisbon, Portugal.
Jardim, Ernesto, Commiss European Communities, Joint Res Ctr, Inst Protect \& Secur Citizen, Maritime Affairs Unit, I-21027 Ispra, VA, Italy.
Brites, Nuno M., Univ Evora, Inst Invest \& Formacao Avancada, Ctr Invest Matemat \& Aplicacoes, Dept Matemat, P-7000671 Evora, Portugal.}},
DOI = {{10.1016/j.fishres.2014.11.013}},
ISSN = {{0165-7836}},
EISSN = {{1872-6763}},
Keywords = {{Data limited stocks; Risk; Survey indices; Length frequencies; Harvest
control rules; Life History}},
Keywords-Plus = {{MANAGEMENT PROCEDURES; PERFORMANCE; FISH}},
Research-Areas = {{Fisheries}},
Web-of-Science-Categories = {{Fisheries}},
Author-Email = {{ernesto.jardim@jrc.ec.europa.eu
mazevedo@ipma.pt
brites@uevora.pt}},
ORCID-Numbers = {{Brites, Nuno/0000-0002-5719-6310}},
Funding-Acknowledgement = {{EU; GesPe Project (Pianos de Gestao Pesqueira, PROMAR)
{[}31-03-01-FEP-0017]}},
Funding-Text = {{The authors would like to thank the thorough reviews of two anonymous
reviewers. Part of this work was carried out within GesPe Project
(Pianos de Gestao Pesqueira, PROMAR 31-03-01-FEP-0017, EU co-financed).}},
Number-of-Cited-References = {{25}},
Times-Cited = {{4}},
Usage-Count-Last-180-days = {{4}},
Usage-Count-Since-2013 = {{20}},
Journal-ISO = {{Fish Res.}},
Doc-Delivery-Number = {{CR3TZ}},
Unique-ID = {{ISI:000361257300003}},
OA = {{No}},
DA = {{2017-08-17}},
}
Downloads: 0
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