Assessing Stock Biomass and Analyzing Management Effects Regarding the
Black Scraper (Thamnaconus modestus) Using Bayesian State-space Model

doi:10.4217/OPR.2020.42.1.063

All Issue

2020 Vol.42, Issue 1 Preview Page Next Page

Article

Assessing Stock Biomass and Analyzing Management Effects Regarding the Black Scraper (Thamnaconus modestus) Using Bayesian State-space Model Bayesian state-space 모델을 이용한 말쥐치 자원평가 및 관리효과 분석: 최민제 · 김도훈 · 이해원 · 서영일 · 이성일
Min-Je Choi, Do-Hoon Kim, Hae-Won Lee, Young-Il Seo, and Sung-Il Lee

31 March 2020. pp. 63−76

PDF

Abstract

This study sought to assess the stock status and analyze the management effects with regard to the Black scraper, which is one of the more commercially important species in Korea. The catch amounts of Black scraper have significantly decreased since 1991. In this analysis, a Bayesian state-space model was utilized to assess the biomass of the Black scraper given the limited data. Model results showed that MSY and BMSY of Black scraper were estimated to be 26,587 tons and 365,200 tons, respectively. In addition, the current biomass level of the Black scraper was assessed to be only 2.1% (7,549 tons) of BMSY. For this reason, the effects of a moratorium policy on the Black scraper were evaluated. The results showed that if such a moratorium policy was implemented, it would take at least 18−40 years to restore the biomass level of the Black scraper to BMSY depending upon its growth rates.

Keywords

Black scraper (Thamnaconus modestus)

Bayesian state-space model

Bayesian inference

fisheries resource management

moratorium

References

Baeck GW, Park JM, Jeong JM, Ye SJ, An YS (2012) Feeding habits of black scraper, Thamnaconus modestus in the coastal waters of Geomun-do, Korea. Korean J Ichthy 24(4):272−277
Chaloupka M, Balazs G (2007) Using Bayesian state-space modelling to assess the recovery and harvest potential of the Hawaiian green sea turtle stock. Ecol Model 205(1−2):93−109
Choi JH, Kim DH, Choi MJ, Kang HJ, Seo YI, Lee JB (2019) Stock assessment and management of blackthroat seaperch Doederleinia seaperch using Bayesian statespace model. J Korean Soc Fish Ocean Tech 55(2):95−104
Choi MJ, Kim DH (2019) Comparing surplus production models for selecting effective stock assessment model: Analyzing potential yield of East Sea, Republic of Korea. Ocean Polar Res 41(3):183−191
Gavaris S (1980) Use of a multiplicative model to estimate catch rate and effort from commercial data. Can J Fish Aquat Sci 37(12):2272−2275
Gwak WS, Lee SG (2009) Developmental changes in digestive organ and digestive enzyme activity of Filefish Thamnaconus modestus. Korean J Ichthy 21(3):149−157
Hinton MG, Maunder MN (2004) Methods for standardizing CPUE and how to select among them. Col Vol Sci Pap ICCAT 56(1):169−177
Kim AR, Bae HJ, Kim HG, Oh CW (2016) Age and growth of filefish, Thamnaconus modestus (Günther, 1877) off the Jeju Island of Korea. Ocean Sci J 51(3):355−362
KOSIS (2019) Fishery production survey. http://kosis.kr/Accessed 28 August 2019
Le MH, Lim HK, Min BH, Kim SY, Chang YJ (2007) Milt properties and spermatozoa structure of filefish (Thamnaconus modestus). Develop Rep 11(3):227−233
Lee SJ, Go YB, Choi YC (2000b) Egg development and morphological changes of larvae of the file fish, Thamnaconus modestus. Korean J Ichthy 12(3):208−214
Lee SJ, Go YB, Lee YD, Jung JH, Han CH (2000a) Annual reproductive cycle of the file fish, Thamnaconus modestus, on the Southern Coast of Cheju Island. Korean J Ichthy 12(1):71−84
Meyer R, Millar RB (1999) BUGS in Bayesian stock assessments. Can J Fish Aquat Sci 56(6):1078−1087
Millar RB, Meyer R (2000) Non-linear state space modelling of fisheries biomass dynamics by using Metropolis-Hastings within-Gibbs sampling. J Roy Stat Soc C-App 49(3):327−342
Nam KM, Yoo JT, Kim JW, Park JH, Baeck GW (2018) Maturation and spawning of female black scraper, Thamnaconus modestus in the coastal waters off Middle East Sea, Korea. J Korean Soc Fish Ocean Tech 54(1):89−95
National Law Information Center (2019) Enforcement decree of the fisheries resources management cct. http://www.law.go.kr/ Accessed 28 August 2019
NIFS (2018) Resource status of 2018 and restoration recommendation of fisheries resources in 2019. National Institute of Fisheries Science, Gijang, 167 p
Nishida T, Bigelow K, Mohri M, Marsac F (2003) Comparative study on Japanese tuna longline CPUE standardization of yellowfin tuna (Thunnus albacares) in the Indian Ocean based on two methods: General linear model (GLM) and habitat-based model (HBM)/GLM combined. In: IOTC Proceedings, pp 48−69
Ntzoufras I (2011) Bayesian modeling using WinBUGS. John Wiley & Sons, New Jersey, 520 p
Polacheck T, Hilborn R, Punt AE (1993) Fitting surplus production models: Comparing methods and measuring uncertainty. Can J Fish Aquat Sci 50(12):2597−2607
Rose G, Rowe S (2015) Northern cod comeback. Can J Fish Aquat Sci 72(12):1789−1798
Schaefer MB (1954) Some aspects of the dynamics of populations important to the management of the commercial marine fisheries. Inter-American Trop Tuna Comm Bull 1(2):23−56
Shono H (2008) Application of the Tweedie distribution to zero-catch data in CPUE analysis. Fish Res 93(1−2):154−162
Spiegelhalter D, Thomas A, Best N, Lunn D (2003) WinBUGS user manual. https://www.mrc-bsu.cam.ac.uk/wp-content/uploads/manual14.pdf Accessed 28 August 2019
Yamada U, Tokimura M, Horikawa H, Nakabo T (2007) Fishes and fisheries of the East China and Yellow Seas. Tokai University Press, Kanagawa, 1182 p

Information

Publisher :Korea Institute of Ocean Science and Technology
Publisher(Ko) :한국해양과학기술원
Journal Title :Ocean and Polar Research
Journal Title(Ko) :Ocean and Polar Research
Volume : 42
No :1
Pages :63−76
DOI :https://doi.org/10.4217/OPR.2020.42.1.063

[1] Baeck GW, Park JM, Jeong JM, Ye SJ, An YS (2012) Feeding habits of black scraper, Thamnaconus modestus in the coastal waters of Geomun-do, Korea. Korean J Ichthy 24(4):272−277

[2] Chaloupka M, Balazs G (2007) Using Bayesian state-space modelling to assess the recovery and harvest potential of the Hawaiian green sea turtle stock. Ecol Model 205(1−2):93−109

[3] Choi JH, Kim DH, Choi MJ, Kang HJ, Seo YI, Lee JB (2019) Stock assessment and management of blackthroat seaperch Doederleinia seaperch using Bayesian statespace model. J Korean Soc Fish Ocean Tech 55(2):95−104

[4] Choi MJ, Kim DH (2019) Comparing surplus production models for selecting effective stock assessment model: Analyzing potential yield of East Sea, Republic of Korea. Ocean Polar Res 41(3):183−191

[5] Gavaris S (1980) Use of a multiplicative model to estimate catch rate and effort from commercial data. Can J Fish Aquat Sci 37(12):2272−2275

[6] Gwak WS, Lee SG (2009) Developmental changes in digestive organ and digestive enzyme activity of Filefish Thamnaconus modestus. Korean J Ichthy 21(3):149−157

[7] Hinton MG, Maunder MN (2004) Methods for standardizing CPUE and how to select among them. Col Vol Sci Pap ICCAT 56(1):169−177

[8] Kim AR, Bae HJ, Kim HG, Oh CW (2016) Age and growth of filefish, Thamnaconus modestus (Günther, 1877) off the Jeju Island of Korea. Ocean Sci J 51(3):355−362

[9] KOSIS (2019) Fishery production survey. http://kosis.kr/Accessed 28 August 2019

[10] Le MH, Lim HK, Min BH, Kim SY, Chang YJ (2007) Milt properties and spermatozoa structure of filefish (Thamnaconus modestus). Develop Rep 11(3):227−233

[11] Lee SJ, Go YB, Choi YC (2000b) Egg development and morphological changes of larvae of the file fish, Thamnaconus modestus. Korean J Ichthy 12(3):208−214

[12] Lee SJ, Go YB, Lee YD, Jung JH, Han CH (2000a) Annual reproductive cycle of the file fish, Thamnaconus modestus, on the Southern Coast of Cheju Island. Korean J Ichthy 12(1):71−84

[13] Meyer R, Millar RB (1999) BUGS in Bayesian stock assessments. Can J Fish Aquat Sci 56(6):1078−1087

[14] Millar RB, Meyer R (2000) Non-linear state space modelling of fisheries biomass dynamics by using Metropolis-Hastings within-Gibbs sampling. J Roy Stat Soc C-App 49(3):327−342

[15] Nam KM, Yoo JT, Kim JW, Park JH, Baeck GW (2018) Maturation and spawning of female black scraper, Thamnaconus modestus in the coastal waters off Middle East Sea, Korea. J Korean Soc Fish Ocean Tech 54(1):89−95

[16] National Law Information Center (2019) Enforcement decree of the fisheries resources management cct. http://www.law.go.kr/ Accessed 28 August 2019

[17] NIFS (2018) Resource status of 2018 and restoration recommendation of fisheries resources in 2019. National Institute of Fisheries Science, Gijang, 167 p

[18] Nishida T, Bigelow K, Mohri M, Marsac F (2003) Comparative study on Japanese tuna longline CPUE standardization of yellowfin tuna (Thunnus albacares) in the Indian Ocean based on two methods: General linear model (GLM) and habitat-based model (HBM)/GLM combined. In: IOTC Proceedings, pp 48−69

[19] Ntzoufras I (2011) Bayesian modeling using WinBUGS. John Wiley & Sons, New Jersey, 520 p

[20] Polacheck T, Hilborn R, Punt AE (1993) Fitting surplus production models: Comparing methods and measuring uncertainty. Can J Fish Aquat Sci 50(12):2597−2607

[21] Rose G, Rowe S (2015) Northern cod comeback. Can J Fish Aquat Sci 72(12):1789−1798

[22] Schaefer MB (1954) Some aspects of the dynamics of populations important to the management of the commercial marine fisheries. Inter-American Trop Tuna Comm Bull 1(2):23−56

[23] Shono H (2008) Application of the Tweedie distribution to zero-catch data in CPUE analysis. Fish Res 93(1−2):154−162

[24] Spiegelhalter D, Thomas A, Best N, Lunn D (2003) WinBUGS user manual. https://www.mrc-bsu.cam.ac.uk/wp-content/uploads/manual14.pdf Accessed 28 August 2019

[25] Yamada U, Tokimura M, Horikawa H, Nakabo T (2007) Fishes and fisheries of the East China and Yellow Seas. Tokai University Press, Kanagawa, 1182 p

Ocean and Polar Research ISSN:2234-7313(Online) Ocean and Polar Research

All Issue