Evaluation of the fishery status for King Soldier Bream Argyrops spinifer in Pakistan using the software CEDA and ASPIC

Aamir Mahmood Memon; Qun Liu; Khadim Hussain Memon; Wazir Ali Baloch; Asfandyar Memon; Abdul Baset

doi:10.1007/s00343-015-4330-4

Your Location：

Home >

Browse articles >

Evaluation of the fishery status for King Soldier Bream Argyrops spinifer in Pakistan using the software CEDA and ASPIC

Updated：2023-05-16

- Evaluation of the fishery status for King Soldier Bream Argyrops spinifer in Pakistan using the software CEDA and ASPIC
- Journal of Oceanology and Limnology Vol. 33, Issue 4, Pages: 966-973(2015)
- Affiliations：
  
  1. College of Fisheries Ocean University of China
  2. Sindh Fisheries Department Hyderabad
  3. Marine Fisheries Department Fish Harbor west wharf
  4. Department of Fresh Water Biology and Fisheries University of Sindh Jamshoro
  5. Department of Economics Management and Quantitative Methods Universita Degli Studi Di Milano
- Author bio：
- Funds：
- DOI：10.1007/s00343-015-4330-4
  CLC：
- Online First：19 April 2015，
  
  Published：2015
- Accepted：
Scan QR Code
Memon, A.M., Liu, Q., Memon, K.H. et al. Evaluation of the fishery status for King Soldier Bream Argyrops spinifer in Pakistan using the software CEDA and ASPIC., Chin. J. Ocean. Limnol. 33, 966–973 (2015). https://doi.org/10.1007/s00343-015-4330-4
DOI：

Memon, A.M., Liu, Q., Memon, K.H. et al. Evaluation of the fishery status for King Soldier Bream Argyrops spinifer in Pakistan using the software CEDA and ASPIC., Chin. J. Ocean. Limnol. 33, 966–973 (2015). https://doi.org/10.1007/s00343-015-4330-4 DOI：

摘要

Abstract

Catch and effort data were analyzed to estimate the maximum sustainable yield (MSY) of King Soldier Bream

Argyrops spinifer (Forsskål

1775

Family: Sparidae)

and to evaluate the present status of the fish stocks exploited in Pakistani waters. The catch and effort data for the 25-years period 1985–2009 were analyzed using two computer software packages

CEDA (catch and effort data analysis) and ASPIC (a surplus production model incorporating covariates). The maximum catch of 3 458 t was observed in 1988 and the minimum catch of 1 324 t in 2005

while the average annual catch of A. spinifer over the 25 years was 2 500 t. The surplus production models of Fox

Schaefer

and Pella Tomlinson under three error assumptions of normal

log-normal and gamma are in the CEDA package and the two surplus models of Fox and logistic are in the ASPIC package. In CEDA

the MSY was estimated by applying the initial proportion (IP) of 0.8

because the starting catch was approximately 80% of the maximum catch. Except for gamma

because gamma showed maximization failures

the estimated results of MSY using CEDA with the Fox surplus production model and two error assumptions

were 1 692.08 t (R 2=0.572) and 1 694.09 t (R 2=0.606)

respectively

and from the Schaefer and the Pella Tomlinson models with two error assumptions were 2 390.95 t (R 2=0.563)

and 2 380.06 t (R 2=0.605)

respectively. The MSY estimated by the Fox model was conservatively compared to the Schaefer and Pella Tomlinson models. The MSY values from Schaefer and Pella Tomlinson models were the same. The computed values of MSY using the ASPIC computer software program with the two surplus production models of Fox and logistic were 1 498 t (R 2=0.917)

and 2 488 t (R 2=0.897) respectively. The estimated values of MSY using CEDA were about 1 700–2 400 t and the values from ASPIC were 1 500–2 500 t. The estimates output by the CEDA and the ASPIC packages indicate that the stock is overfished

and needs some effective management to reduce the fishing effort of the species in Pakistani waters.

关键词

Keywords

references

Al-Mamry JM, McCarthy I D, Richardson C A, Ben Meriem S. 2009. Biology of the kingsoldier bream (Argyrops spinifer, Forsskål 1775; Sparidae), from the Arabian Sea, Oman. Journal of Applied Ichthyology, 25(5): 559–564.

Al-Mamry J M, Ben M S, McCarthy I D, Richardson C A. 2011. Fishing pattern and interactions of fleet components in the Argyrops spinifer (Actinopterygii: Perciformes: Sparidae) fisheries of the Arabian Sea, Oman. Acta Ichthyologica et Piscatoria, 41(1): 55–62.

Bauchot M L, Smith M M. 1984. Sparidae. In: Fischer W, Bianchi G eds. FAO Species Identification Sheets for Fishery Purposes. Western Indian Ocean (Fishing Area 51). 4. FAO, Rome.

Bianchi G. 1985. FAO Species Identification Sheets for Fishery Purposes. Field guide to the commercial marine and brackish-water species of tanzania. Prepared with the support of PAK/77/033 and FAO (FIRM) Regular Programme. FAO, Rome, 200p.

Cadima E L. 2003. Fish Stock Assessment Manual. FAO, Rome.

Druzhinin A D. 1975. Some data on sparid fish (Fam. Sparidae) in the Gulf of Aden region. Journal of Ichthyology, 15(4): 531–541.

Edwards R R C, Bakhader A, Shaher S. 1985. Growth, mortality, age composition and fisheries yields of fish from the Gulf of Aden. Journal of Fish Biology, 27(1): 13–21.

El-Sayed A, Abdel-Bary K. 1995. Population biology of sparid fishes in Qatari waters: 4. Growth and mortality of long spine seabream (Argyrops spinifer). Qatar University Science Journal, 15(2): 457–461.

Eschmeyer W N, Fong J D. 2015. Species by family/subfamily in the catalog of fishes. http:///researcharchhive.calacademy.org/research/ichthyology/catalog/speciesbyfamily.asp#sparidae.

FAO. 2009. Fishery and Aquaculture Country Profile. FAO’s Fisheries Department, Rome. p.1–18.

Forsskål P. 1775. Descriptiones animalium avium, amphibiorum, piscium, insectorum, vermium, quae in itinere orientali observavit. Post mortem auctoris edidit. Carsten Niebuhr, Hauniae. Molleri, Copenhagen. 20p.

Fox W W Jr. 1970. An exponential surplus-yield model for optimizing exploited fish populations. Tans. Am er. Fish. Soc., 99(1): 80–88.

Ghanbarzadeh M. Soofiani N M, Keivany Y, Motlagh S A T. 2014. Feeding habits of the King soldier bream, Argyrops spinifer (Forsskål, 1775) (Perciformes: Sparidae), in the northern Persian Gulf. Journal of Applied Ichthyology, 30(3): 485–489.

Haddon M. 2011. Modelling and Quantitative Methods in Fisheries. 2nd edn. Chapman and Hall/CRC Press, London. 449p.

Hilborn R, Walters C J. 1992. Quantitative Fisheries Stock Assessment, Choice, Dynamics and Uncertainty. Chapman and Hall, New York, London.

Hoggarth D D, Abeyasekera S, Arthur R I, Beddington J R, Burn R W, Halls A S, Kirkwood G P, McAllister M, Medley P, Mees C C, Parkes G B, Pilling G M, Wakeford R C, Welcomme R L. 2006. Stock Assessment for Fishery Management-A Framework Guide to the Stock Assessment Tools of the Fisheries Management Science Programme. FAO Fisheries Technical Paper 487. FAO, Rome, Italy. 261p.

Kalhoro M A, Liu Q, Memon K H, Chang M S, Jatt A N. 2013. Estimation of maximum sustainable yield of bombay duck, Harpodon nehereus fishery in Pakistan using the CEDA and ASPIC packages. Pakistan J. Zool., 45(6): 1 757–1 764.

Mehanna S F, El-Gammal F I. 2007. Gulf of suez fisheries: current status, assessment and management. JKAU: Mar. Sci., 18: 3–18.

Memon K H, Liu Q, Kalhoro M A, Chang M S, Jatt A N. 2015. Maximum sustainable yield estimates of the Barramundi Lates calcarifer Fishery from Northern Arabian Sea. Ind ian J. Mar. Sci., 44(1).

Panhwar S K, Liu Q, Khan F, Siddiqui P J A. 2012a. Maximum sustainable yield estimates of Ladypees, Sillago sihama (Forsskål), fishery in Pakistan using the ASPIC and CEDA packages. J. Ocean Univ. China, 11(1): 93–98.

Panhwar S K, Liu Q, Khan F, Waryani B. 2012b. Maximum sustainable yield estimates of spiny lobster fishery in Pakistan using non-equilibrium CEDA package. Russian J. Mar. Biol., 38(6): 448–453, http://dx.doi.org/10.1134/S1063074012060077

Pella J J, Tomlinson P K. 1969. A generalized stock production model. Bull. Inter — Am. Trop. Tuna Comm., 13: 421–496.

Prager M H. 2005. A stock-production model incorporating covariates (Version 5) and auxiliary programs. CCFHR (NOAA) Miami Laboratory Document MIA-92/93-55, Beaufort Laboratory Document BL-2004-01.

Schaefer M B. 1954. Some aspects of the dynamics of populations important to the management of the commercial marine fisheries. Bull. Inter — Am. Trop. Tuna Comm., 1(2): 25–56.

Siddiqi A H. 1992. Fishery resources and development policy in Pakistan. Geojournal, 26(3): 395–411.

Siddiqui P J, Amir S A, Masroor R. 2014. The sparid fishes of Pakistan, with new distribution records. Zootaxa, 3857(1): 71–100.

Siyal F K, Li Y, Gao T X, Liu Q. 2013. Maximum sustainable yield estimates of silver pomfret, Pampas argenteus (Family: Strometidae) fishery in Pakistan. Pakistan J. Zool., 45(2): 447–452.

Sommer C, Schneider W, Poutiers J M. 1996. FAO Species Identification Field Guide for Fishery Purposes. The Living Marine Resources of Somalia. FAO, Rome. 376p.

Wang Y, Liu Q. 2013. Application of CEDA and ASPIC computer packages to the hairtail (Trichiurus japonicus) fishery in the East China Sea. Chinese J. Oceanol. Limnol., 31(1): 92–96.

Yoon G H, Al-jufaili S, Freeman M A, Bron J E, Paladini G, Shinn A P. 2013. Omanicotyle heterospina n. gen. et n. comb. (Monogenea: Microcotylidae) from the gills of Argyrops spinifer (Forsskål) (Teleostei: Sparidae) from the Sea of Oman. Parasites & Vectors, 6(1): 170.

Views

Downloads

CSCD

Alert me when the article has been cited

Submit

Tools

Publicity Resources

Fishery stock assessment of Kiddi shrimp (Parapenaeopsis stylifera) in the Northern Arabian Sea Coast of Pakistan by using surplus production models

Applying the Catch-MSY model to the stock assessment of the northwestern Pacific saury Cololabis Saira

Comparative study of stock status and sustainable management of Pomadasys olivaceus fishery along Pakistan coast

Impacts of distorted fishery statistical data on assessments of three surplus production models

Studies on Distribution Characteristics of CurrentDensity on Anode Wall of Ion Thruster

Related Author

Muhammad Mohsin

Yongtong Mu

Muhammad Talib Kalhoro

Syed Baber Hussain Shah

Chuanxiang HUA

Qingcheng ZHU

Shuolin HUANG

Huili FENG

Related Institution

College of Marine Culture and Law, Shanghai Ocean University

College of Marine Sciences, Shanghai Ocean University

National Engineering Research Center for Pelagic Fishery

Key Laboratory of Sustainable Exploitation of Oceanic Fisheries Resources, Ministry of Education

Institute of Marine Policy & Law, Shanghai Ocean University

Address：Editorial Office of JOL, 88 Haijun Rd. Qingdao, 266000, China
Tel：+86-532-82898754 Email：jol@qdio.ac.cn
Technical support is provided by Beijing Founder electronics co., LTD 京ICP备09064830号-19 京公网安备11010802024621
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.

⁰