@article{ ISI:000353077400013,
Author = {Punt, Andre E. and Su, Nan-Jay and Sun, Chi-Lu},
Title = {{Assessing billfish stocks: A review of current methods and some future
   directions}},
Journal = {{FISHERIES RESEARCH}},
Year = {{2015}},
Volume = {{166}},
Number = {{SI}},
Pages = {{103-118}},
Month = {{JUN}},
Note = {{5th International Billfish Symposium, Taipei, TAIWAN, NOV 04-08, 2013}},
Abstract = {{Billfishes, excluding swordfish, are typically not the primary targets
   of large-scale fisheries, which has historically led to a lack of
   targeted monitoring efforts. The lack of data on age-composition,
   missing catch data and species identification problems for some species,
   lack of fishery-independent index data, as well as environmental
   influences on population dynamics is compounded by the international
   nature of how fisheries for billfishes are assessed and managed. This
   paper overviews the most recent assessments conducted for 20 stocks of
   billfishes in the Indian, Atlantic and Pacific Oceans, and how
   management advice is provided for these stocks. Assessments for
   billfishes are conducted using a wide range of techniques, ranging from
   catch-only methods which infer stock status based primarily on the prior
   distributions assumed for the parameters of a population dynamics model,
   to statistical catch-at-age analyses that integrate a wide range of data
   types. Key recommendations arising from this review include that
   age-structured stock assessments should be based on models that allow
   sex-structure to be represented, a full accounting for uncertainty
   requires adequately representing uncertainty regarding growth rates,
   natural mortality, the form and parameters of the stock recruitment
   relationship, and how data are weighted, and that if biomass dynamics
   models are to be applied, they should be based on Bayesian state-space
   formulations rather than observation or process error estimators because
   such formulations are better able to represent uncertainty. Crown
   Copyright (C) 2014 Published by Elsevier B.V. All rights reserved.}},
Publisher = {{ELSEVIER SCIENCE BV}},
Address = {{PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS}},
Type = {{Article; Proceedings Paper}},
Language = {{English}},
Affiliation = {{Punt, AE (Reprint Author), Univ Washington, Sch Aquat \& Fishery Sci, POB 355020, Seattle, WA 98195 USA.
   Punt, Andre E., Univ Washington, Sch Aquat \& Fishery Sci, Seattle, WA 98195 USA.
   Punt, Andre E., CSIRO Ocean \& Atmosphere Flagship Castray Esplana, Hobart, Tas 7001, Australia.
   Su, Nan-Jay; Sun, Chi-Lu, Natl Taiwan Univ, Inst Oceanog, Taipei 10617, Taiwan.}},
DOI = {{10.1016/j.fishres.2014.07.016}},
ISSN = {{0165-7836}},
EISSN = {{1872-6763}},
Keywords = {{Biomass dynamics models; Marlin; Sailfish; Swordfish; Statistical
   catch-at-age analysis; Stock synthesis}},
Keywords-Plus = {{DATA-LIMITED SITUATIONS; MARLIN KAJIKIA-AUDAX; NORTH PACIFIC-OCEAN;
   ASSESSMENT MODELS; XIPHIAS-GLADIUS; STRIPED MARLIN; SURPLUS-PRODUCTION;
   NATURAL MORTALITY; BLUE MARLIN; STATISTICAL FRAMEWORK}},
Research-Areas = {{Fisheries}},
Web-of-Science-Categories  = {{Fisheries}},
Author-Email = {{aepunt@uw.edu}},
Funding-Acknowledgement = {{NOAA {[}NA100AR4320148]}},
Funding-Text = {{AEP acknowledges support from NOAA Grant NA100AR4320148. Mark Maunder
   (IATTC) and two anonymous reviewers are thanked for comments on earlier
   version of this paper.}},
Number-of-Cited-References = {{117}},
Times-Cited = {{9}},
Usage-Count-Last-180-days = {{4}},
Usage-Count-Since-2013 = {{37}},
Journal-ISO = {{Fish Res.}},
Doc-Delivery-Number = {{CG2AN}},
Unique-ID = {{ISI:000353077400013}},
OA = {{No}},
DA = {{2017-08-17}},
}

{"_id":"JTrzhdwM6wsC2X2zZ","bibbaseid":"punt-su-sun-assessingbillfishstocksareviewofcurrentmethodsandsomefuturedirections-2015","downloads":0,"creationDate":"2017-08-17T14:08:07.519Z","title":"Assessing billfish stocks: A review of current methods and some future directions","author_short":["Punt, A. E.","Su, N.","Sun, C."],"year":2015,"bibtype":"article","biburl":"http://flr-project.org/flr.bib","bibdata":{"bibtype":"article","type":"Article; Proceedings Paper","author":[{"propositions":[],"lastnames":["Punt"],"firstnames":["Andre","E."],"suffixes":[]},{"propositions":[],"lastnames":["Su"],"firstnames":["Nan-Jay"],"suffixes":[]},{"propositions":[],"lastnames":["Sun"],"firstnames":["Chi-Lu"],"suffixes":[]}],"title":"Assessing billfish stocks: A review of current methods and some future directions","journal":"FISHERIES RESEARCH","year":"2015","volume":"166","number":"SI","pages":"103-118","month":"JUN","note":"5th International Billfish Symposium, Taipei, TAIWAN, NOV 04-08, 2013","abstract":"Billfishes, excluding swordfish, are typically not the primary targets of large-scale fisheries, which has historically led to a lack of targeted monitoring efforts. The lack of data on age-composition, missing catch data and species identification problems for some species, lack of fishery-independent index data, as well as environmental influences on population dynamics is compounded by the international nature of how fisheries for billfishes are assessed and managed. This paper overviews the most recent assessments conducted for 20 stocks of billfishes in the Indian, Atlantic and Pacific Oceans, and how management advice is provided for these stocks. Assessments for billfishes are conducted using a wide range of techniques, ranging from catch-only methods which infer stock status based primarily on the prior distributions assumed for the parameters of a population dynamics model, to statistical catch-at-age analyses that integrate a wide range of data types. Key recommendations arising from this review include that age-structured stock assessments should be based on models that allow sex-structure to be represented, a full accounting for uncertainty requires adequately representing uncertainty regarding growth rates, natural mortality, the form and parameters of the stock recruitment relationship, and how data are weighted, and that if biomass dynamics models are to be applied, they should be based on Bayesian state-space formulations rather than observation or process error estimators because such formulations are better able to represent uncertainty. Crown Copyright (C) 2014 Published by Elsevier B.V. All rights reserved.","publisher":"ELSEVIER SCIENCE BV","address":"PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS","language":"English","affiliation":"Punt, AE (Reprint Author), Univ Washington, Sch Aquat & Fishery Sci, POB 355020, Seattle, WA 98195 USA. Punt, Andre E., Univ Washington, Sch Aquat & Fishery Sci, Seattle, WA 98195 USA. Punt, Andre E., CSIRO Ocean & Atmosphere Flagship Castray Esplana, Hobart, Tas 7001, Australia. Su, Nan-Jay; Sun, Chi-Lu, Natl Taiwan Univ, Inst Oceanog, Taipei 10617, Taiwan.","doi":"10.1016/j.fishres.2014.07.016","issn":"0165-7836","eissn":"1872-6763","keywords":"Biomass dynamics models; Marlin; Sailfish; Swordfish; Statistical catch-at-age analysis; Stock synthesis","keywords-plus":"DATA-LIMITED SITUATIONS; MARLIN KAJIKIA-AUDAX; NORTH PACIFIC-OCEAN; ASSESSMENT MODELS; XIPHIAS-GLADIUS; STRIPED MARLIN; SURPLUS-PRODUCTION; NATURAL MORTALITY; BLUE MARLIN; STATISTICAL FRAMEWORK","research-areas":"Fisheries","web-of-science-categories":"Fisheries","author-email":"aepunt@uw.edu","funding-acknowledgement":"NOAA [NA100AR4320148]","funding-text":"AEP acknowledges support from NOAA Grant NA100AR4320148. Mark Maunder (IATTC) and two anonymous reviewers are thanked for comments on earlier version of this paper.","number-of-cited-references":"117","times-cited":"9","usage-count-last-180-days":"4","usage-count-since-2013":"37","journal-iso":"Fish Res.","doc-delivery-number":"CG2AN","unique-id":"ISI:000353077400013","oa":"No","da":"2017-08-17","bibtex":"@article{ ISI:000353077400013,\nAuthor = {Punt, Andre E. and Su, Nan-Jay and Sun, Chi-Lu},\nTitle = {{Assessing billfish stocks: A review of current methods and some future\n directions}},\nJournal = {{FISHERIES RESEARCH}},\nYear = {{2015}},\nVolume = {{166}},\nNumber = {{SI}},\nPages = {{103-118}},\nMonth = {{JUN}},\nNote = {{5th International Billfish Symposium, Taipei, TAIWAN, NOV 04-08, 2013}},\nAbstract = {{Billfishes, excluding swordfish, are typically not the primary targets\n of large-scale fisheries, which has historically led to a lack of\n targeted monitoring efforts. The lack of data on age-composition,\n missing catch data and species identification problems for some species,\n lack of fishery-independent index data, as well as environmental\n influences on population dynamics is compounded by the international\n nature of how fisheries for billfishes are assessed and managed. This\n paper overviews the most recent assessments conducted for 20 stocks of\n billfishes in the Indian, Atlantic and Pacific Oceans, and how\n management advice is provided for these stocks. Assessments for\n billfishes are conducted using a wide range of techniques, ranging from\n catch-only methods which infer stock status based primarily on the prior\n distributions assumed for the parameters of a population dynamics model,\n to statistical catch-at-age analyses that integrate a wide range of data\n types. Key recommendations arising from this review include that\n age-structured stock assessments should be based on models that allow\n sex-structure to be represented, a full accounting for uncertainty\n requires adequately representing uncertainty regarding growth rates,\n natural mortality, the form and parameters of the stock recruitment\n relationship, and how data are weighted, and that if biomass dynamics\n models are to be applied, they should be based on Bayesian state-space\n formulations rather than observation or process error estimators because\n such formulations are better able to represent uncertainty. Crown\n Copyright (C) 2014 Published by Elsevier B.V. All rights reserved.}},\nPublisher = {{ELSEVIER SCIENCE BV}},\nAddress = {{PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS}},\nType = {{Article; Proceedings Paper}},\nLanguage = {{English}},\nAffiliation = {{Punt, AE (Reprint Author), Univ Washington, Sch Aquat \\& Fishery Sci, POB 355020, Seattle, WA 98195 USA.\n Punt, Andre E., Univ Washington, Sch Aquat \\& Fishery Sci, Seattle, WA 98195 USA.\n Punt, Andre E., CSIRO Ocean \\& Atmosphere Flagship Castray Esplana, Hobart, Tas 7001, Australia.\n Su, Nan-Jay; Sun, Chi-Lu, Natl Taiwan Univ, Inst Oceanog, Taipei 10617, Taiwan.}},\nDOI = {{10.1016/j.fishres.2014.07.016}},\nISSN = {{0165-7836}},\nEISSN = {{1872-6763}},\nKeywords = {{Biomass dynamics models; Marlin; Sailfish; Swordfish; Statistical\n catch-at-age analysis; Stock synthesis}},\nKeywords-Plus = {{DATA-LIMITED SITUATIONS; MARLIN KAJIKIA-AUDAX; NORTH PACIFIC-OCEAN;\n ASSESSMENT MODELS; XIPHIAS-GLADIUS; STRIPED MARLIN; SURPLUS-PRODUCTION;\n NATURAL MORTALITY; BLUE MARLIN; STATISTICAL FRAMEWORK}},\nResearch-Areas = {{Fisheries}},\nWeb-of-Science-Categories = {{Fisheries}},\nAuthor-Email = {{aepunt@uw.edu}},\nFunding-Acknowledgement = {{NOAA {[}NA100AR4320148]}},\nFunding-Text = {{AEP acknowledges support from NOAA Grant NA100AR4320148. Mark Maunder\n (IATTC) and two anonymous reviewers are thanked for comments on earlier\n version of this paper.}},\nNumber-of-Cited-References = {{117}},\nTimes-Cited = {{9}},\nUsage-Count-Last-180-days = {{4}},\nUsage-Count-Since-2013 = {{37}},\nJournal-ISO = {{Fish Res.}},\nDoc-Delivery-Number = {{CG2AN}},\nUnique-ID = {{ISI:000353077400013}},\nOA = {{No}},\nDA = {{2017-08-17}},\n}\n\n","author_short":["Punt, A. E.","Su, N.","Sun, C."],"key":"ISI:000353077400013","id":"ISI:000353077400013","bibbaseid":"punt-su-sun-assessingbillfishstocksareviewofcurrentmethodsandsomefuturedirections-2015","role":"author","urls":{},"keyword":["Biomass dynamics models; Marlin; Sailfish; Swordfish; Statistical catch-at-age analysis; Stock synthesis"],"metadata":{"authorlinks":{}},"downloads":0},"search_terms":["assessing","billfish","stocks","review","current","methods","future","directions","punt","su","sun"],"keywords":["biomass dynamics models; marlin; sailfish; swordfish; statistical catch-at-age analysis; stock synthesis"],"authorIDs":[],"dataSources":["WA8XYs6LQoFRqHaQt","NDGPxX9hJs9BdrF52"]}