@article{ ISI:000390494100033,
Author = {Dichmont, Catherine M. and Deng, Roy A. and Punt, Andre E.},
Title = {{How many of Australia's stock assessments can be conducted using stock
   assessment packages?}},
Journal = {{MARINE POLICY}},
Year = {{2016}},
Volume = {{74}},
Pages = {{279-287}},
Month = {{DEC}},
Abstract = {{Most of the stock assessments conducted in the USA and in New Zealand
   are based on packages that have been developed for generic use, are well
   documented, and have been tested using simulation. However, this is not
   the case for assessments conducted in Australia and many other
   countries. This paper reviews all of the model based stock assessments
   for Australian fisheries to evaluate how many of these assessments could
   have been conducted using the publicly-available stock assessment
   packages used widely in the USA and New Zealand. The 76 model-based
   assessments reflect 37\% of the 2013 catch recorded in Australia's
   Status for Key Australian Fish Stocks Reports (or 34\% of the total
   catch in 2013). All but 18 (or 24 if full rather than approximate
   age-size structured models need to be used) of the stock assessments
   could have been conducted using stock assessment packages used in the
   United States and New Zealand. Adoption and use of packages for more
   stocks in Australia should increase the likelihood that results are
   based on correctly-coded models whose estimation performance is widely
   understood, reduce the time needed to conduct assessments, and speed up
   the peer-review process. The availability of training, manuals, and
   example data sets for stock assessment packages should partially address
   their additional complexity. Additional benefits, in terms of numbers of
   assessed stocks, could occur if Australian stock assessment scientists
   develop a forum to collaborate and share methods. These results are
   applicable to many other jurisdictions that undertake stock assessments.}},
Publisher = {{ELSEVIER SCI LTD}},
Address = {{THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Dichmont, CM (Reprint Author), Cathy Dichmont Consulting, 47 Pioneer Rd, Redlands, Australia.
   Dichmont, Catherine M., CSIRO Oceans \& Atmosphere, Ecosci Precinct, 41 Boggo Rd, Dutton Pk, Qld 4102, Australia.
   Dichmont, Catherine M., Cathy Dichmont Consulting, 47 Pioneer Rd, Redlands, Australia.
   Deng, Roy A., CSIRO Oceans \& Atmosphere, Queensland Biosci Precinct, 306 Carmody Rd, St Lucia, Qld 4067, Australia.
   Punt, Andre E., CSIRO Oceans \& Atmosphere, Hobart, Tas 7001, Australia.
   Punt, Andre E., Univ Washington, Sch Aquat \& Fishery Sci, Box 355020, Seattle, WA 98195 USA.}},
DOI = {{10.1016/j.marpol.2016.09.033}},
ISSN = {{0308-597X}},
EISSN = {{1872-9460}},
Keywords = {{CASAL; Stock Synthesis; Stock assessment; Funding; Uncertainty}},
Keywords-Plus = {{HARVEST STRATEGY; MODEL; MANAGEMENT; AGE; FISHERIES; POPULATION;
   FRAMEWORK; LOBSTER; LENGTH; SIZE}},
Research-Areas = {{Environmental Sciences \& Ecology; International Relations}},
Web-of-Science-Categories  = {{Environmental Studies; International Relations}},
Author-Email = {{cathydichmont@gmail.com}},
Funding-Acknowledgement = {{Fisheries Research and Develop Corporation (FRDC); CSIRO; Cathy Dichmont
   Consulting}},
Funding-Text = {{This work was funded by Fisheries Research and Develop Corporation
   (FRDC), CSIRO and Cathy Dichmont Consulting. We would like to thank the
   many respondents to our surveys and their patience in answering our
   subsequent questions as well as Carolyn Stewardson from FRDC regarding
   SAFS advice. This paper benefited from the comments by two anonymous
   reviewers.}},
Number-of-Cited-References = {{45}},
Times-Cited = {{0}},
Usage-Count-Last-180-days = {{2}},
Usage-Count-Since-2013 = {{2}},
Journal-ISO = {{Mar. Pol.}},
Doc-Delivery-Number = {{EF7EY}},
Unique-ID = {{ISI:000390494100033}},
OA = {{No}},
DA = {{2017-08-17}},
}

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This paper reviews all of the model based stock assessments for Australian fisheries to evaluate how many of these assessments could have been conducted using the publicly-available stock assessment packages used widely in the USA and New Zealand. The 76 model-based assessments reflect 37% of the 2013 catch recorded in Australia's Status for Key Australian Fish Stocks Reports (or 34% of the total catch in 2013). All but 18 (or 24 if full rather than approximate age-size structured models need to be used) of the stock assessments could have been conducted using stock assessment packages used in the United States and New Zealand. Adoption and use of packages for more stocks in Australia should increase the likelihood that results are based on correctly-coded models whose estimation performance is widely understood, reduce the time needed to conduct assessments, and speed up the peer-review process. 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The 76 model-based\n assessments reflect 37\\% of the 2013 catch recorded in Australia's\n Status for Key Australian Fish Stocks Reports (or 34\\% of the total\n catch in 2013). All but 18 (or 24 if full rather than approximate\n age-size structured models need to be used) of the stock assessments\n could have been conducted using stock assessment packages used in the\n United States and New Zealand. Adoption and use of packages for more\n stocks in Australia should increase the likelihood that results are\n based on correctly-coded models whose estimation performance is widely\n understood, reduce the time needed to conduct assessments, and speed up\n the peer-review process. The availability of training, manuals, and\n example data sets for stock assessment packages should partially address\n their additional complexity. Additional benefits, in terms of numbers of\n assessed stocks, could occur if Australian stock assessment scientists\n develop a forum to collaborate and share methods. These results are\n applicable to many other jurisdictions that undertake stock assessments.}},\nPublisher = {{ELSEVIER SCI LTD}},\nAddress = {{THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND}},\nType = {{Article}},\nLanguage = {{English}},\nAffiliation = {{Dichmont, CM (Reprint Author), Cathy Dichmont Consulting, 47 Pioneer Rd, Redlands, Australia.\n Dichmont, Catherine M., CSIRO Oceans \\& Atmosphere, Ecosci Precinct, 41 Boggo Rd, Dutton Pk, Qld 4102, Australia.\n Dichmont, Catherine M., Cathy Dichmont Consulting, 47 Pioneer Rd, Redlands, Australia.\n Deng, Roy A., CSIRO Oceans \\& Atmosphere, Queensland Biosci Precinct, 306 Carmody Rd, St Lucia, Qld 4067, Australia.\n Punt, Andre E., CSIRO Oceans \\& Atmosphere, Hobart, Tas 7001, Australia.\n Punt, Andre E., Univ Washington, Sch Aquat \\& Fishery Sci, Box 355020, Seattle, WA 98195 USA.}},\nDOI = {{10.1016/j.marpol.2016.09.033}},\nISSN = {{0308-597X}},\nEISSN = {{1872-9460}},\nKeywords = {{CASAL; Stock Synthesis; Stock assessment; Funding; Uncertainty}},\nKeywords-Plus = {{HARVEST STRATEGY; MODEL; MANAGEMENT; AGE; FISHERIES; POPULATION;\n FRAMEWORK; LOBSTER; LENGTH; SIZE}},\nResearch-Areas = {{Environmental Sciences \\& Ecology; International Relations}},\nWeb-of-Science-Categories = {{Environmental Studies; International Relations}},\nAuthor-Email = {{cathydichmont@gmail.com}},\nFunding-Acknowledgement = {{Fisheries Research and Develop Corporation (FRDC); CSIRO; Cathy Dichmont\n Consulting}},\nFunding-Text = {{This work was funded by Fisheries Research and Develop Corporation\n (FRDC), CSIRO and Cathy Dichmont Consulting. 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