Fisheries Assessment and Management: A Synthesis of Common Approaches with Special Reference to Deepwater and Data-Poor Stocks. Edwards, C. T. T., Hillary, R. M., Levontin, P., Blanchard, J. L., & Lorenzen, K. REVIEWS IN FISHERIES SCIENCE, 20(3):136-153, TAYLOR & FRANCIS INC, 530 WALNUT STREET, STE 850, PHILADELPHIA, PA 19106 USA, 2012.
doi  abstract   bibtex   
Deepwater fish populations are often characterized by their life-history as being highly susceptible to overexploitation. Moreover, dependent fisheries often develop rapidly, so overexploitation may occur before resource dynamics are quantified sufficiently to assess safe biological limits. It is therefore crucial to employ assessment methods that make the best use of limited data and management procedures that account for large uncertainties. This review provides a critical synthesis of assessment and management approaches for deepwater fisheries. Given limitations in the data, it is clear that assessments are likely to benefit from the application of derived relationships between life-history characteristics and the sharing of this and other information across stocks. It is important that uncertainty in assessment results is represented adequately, and management methods must in turn ensure that decision mechanisms are robust to an incomplete picture of resource dynamics. This requires construction and testing of harvest control rules within a simulation framework. Harvest control rules themselves, however, need not be complicated, and simple empirical approaches can be adequate for situations in which only relative changes in biomass can be discerned from the data. Development and testing of these control rules is likely to prove a productive area of future research.
@article{ ISI:000305516900002,
Author = {Edwards, C. T. T. and Hillary, R. M. and Levontin, P. and Blanchard, J.
   L. and Lorenzen, K.},
Title = {{Fisheries Assessment and Management: A Synthesis of Common Approaches
   with Special Reference to Deepwater and Data-Poor Stocks}},
Journal = {{REVIEWS IN FISHERIES SCIENCE}},
Year = {{2012}},
Volume = {{20}},
Number = {{3}},
Pages = {{136-153}},
Abstract = {{Deepwater fish populations are often characterized by their life-history
   as being highly susceptible to overexploitation. Moreover, dependent
   fisheries often develop rapidly, so overexploitation may occur before
   resource dynamics are quantified sufficiently to assess safe biological
   limits. It is therefore crucial to employ assessment methods that make
   the best use of limited data and management procedures that account for
   large uncertainties. This review provides a critical synthesis of
   assessment and management approaches for deepwater fisheries. Given
   limitations in the data, it is clear that assessments are likely to
   benefit from the application of derived relationships between
   life-history characteristics and the sharing of this and other
   information across stocks. It is important that uncertainty in
   assessment results is represented adequately, and management methods
   must in turn ensure that decision mechanisms are robust to an incomplete
   picture of resource dynamics. This requires construction and testing of
   harvest control rules within a simulation framework. Harvest control
   rules themselves, however, need not be complicated, and simple empirical
   approaches can be adequate for situations in which only relative changes
   in biomass can be discerned from the data. Development and testing of
   these control rules is likely to prove a productive area of future
   research.}},
Publisher = {{TAYLOR \& FRANCIS INC}},
Address = {{530 WALNUT STREET, STE 850, PHILADELPHIA, PA 19106 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Edwards, CTT (Reprint Author), Imperial Coll London, Div Biol, Silwood Pk, Ascot SL5 7PY, Berks, England.
   Edwards, C. T. T., Imperial Coll London, Div Biol, Ascot SL5 7PY, Berks, England.
   Hillary, R. M., CSIRO Marine \& Atmospher Res, Wealth Oceans Natl Res Flagship, Hobart, Tas, Australia.
   Levontin, P., Univ London Imperial Coll Sci Technol \& Med, Ctr Environm Policy, London, England.
   Blanchard, J. L., Univ Sheffield, Dept Anim \& Plant Sci, Sheffield S10 2TN, S Yorkshire, England.
   Lorenzen, K., Univ Florida, Sch Forest Resources \& Conservat, Gainesville, FL 32611 USA.}},
DOI = {{10.1080/10641262.2012.683210}},
ISSN = {{1064-1262}},
EISSN = {{1547-6553}},
Keywords = {{deepwater fisheries; stock assessment; management procedure}},
Keywords-Plus = {{ROUGHY HOPLOSTETHUS-ATLANTICUS; TOOTHFISH DISSOSTICHUS-ELEGINOIDES;
   MAXIMUM REPRODUCTIVE RATE; LIFE-HISTORY STRATEGIES; AFRICAN HAKE
   RESOURCE; US WEST-COAST; ORANGE ROUGHY; NEW-ZEALAND;
   POPULATION-DYNAMICS; NATURAL MORTALITY}},
Research-Areas = {{Fisheries}},
Web-of-Science-Categories  = {{Fisheries}},
Author-Email = {{charles.edwards@imperial.ac.uk}},
ResearcherID-Numbers = {{Hillary, Richard/L-3300-2013
   Blanchard, Julia/E-4919-2010}},
ORCID-Numbers = {{Blanchard, Julia/0000-0003-0532-4824}},
Funding-Acknowledgement = {{Commission of the European Communities under the DEEP-FISHMAN project
   {[}227390]; U.S Fish and Wildlife Service SFR project {[}F-136-R]}},
Funding-Text = {{This study was carried out with financial support from the Commission of
   the European Communities under the DEEP-FISHMAN project (grant agreement
   227390). KL acknowledges supplementary funding from U.S Fish and
   Wildlife Service SFR project F-136-R.}},
Number-of-Cited-References = {{156}},
Times-Cited = {{11}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{43}},
Journal-ISO = {{Rev. Fish. Sci.}},
Doc-Delivery-Number = {{962CM}},
Unique-ID = {{ISI:000305516900002}},
OA = {{No}},
DA = {{2017-08-17}},
}
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