An assessment of European bream Abramis brama (Linnaeus, 1758) fishery in the downstream of the Irtysh River in China

References

• Adakbek KJ, Liu J, Chen QY. 2003. Study on the biology and exploitation of Abramis brama Berg in the Ulungur Lake. Shanghai, China: J Shanghai Fish Univ; p. 366–370.
   Google Scholar
• Chapman DG, Robson DS. 1960. The analysis of a catch curve. Biometrics. 16(3):354–368.
   Web of Science ®Google Scholar
• Xinjiang Geographic Society. 1983. Xinjiang Geography Manual. Urumqi: Xinjiang People Press; p. 90–98.
   Google Scholar
• Gulland JA, Boerema LK. 1973. Scientific advice on catch levels. Fish Bull. 71:325–335.
   Google Scholar
• Prager MH, Porch CE, Shertzer KW, Caddy JF. 2003. Targets and limits for management of fisheries: a simple probability-based approach. N Am J Fish Manage. 23(2):349–361.
   Web of Science ®Google Scholar
• Tong YH, Chen XJ, Tian SQ, Zhang YY, Chen Y. 2010. Therory and application of biological reference points in fisheries management. J Fish Chin. 34:1040–1050.
   Google Scholar
• Aprahamian MW, Wyatt RJ, Shields BA. 2006. Use of biological reference points for the conservation of Atlantic salmon, Salmon salar, in the River Lune, North West England. Fisheries Manage. 13(1):21–30.
   Web of Science ®Google Scholar
• Braccini M, Brooks EN, Wise B, McAuley R. 2015. Displaying uncertainty in the biological reference points of sharks. Ocean Coast Manage. 116:143–149.
   Web of Science ®Google Scholar
• Brodziak J, Ianelli J, Lorenzen K, Methot RD. Jr 2011. Estimating natural mortality in stock assessment applications. U.S. Dep. Commer., NOAA Tech. Memo. NMFS–F/SPO. 119:38p.
   Google Scholar
• Caddy JF. 1993. Background concepts for a rotating harvesting strategy with particular to the Mediterranean red coral. Corallium Rubrum. Mar Fish Rev. 55:10–18.
   Google Scholar
• Chen Y, Wilson C. 2002. A simulation study to evaluate impacts of uncertainty on the assessment of American lobster fishery in the Gulf of Maine. Can J Fish Aquat Sci. 59(8):1394–1403.
   Web of Science ®Google Scholar
• Cooper AB. 2006. A guide to fisheries stock assessment: from data to recommendations. University of New Hampshire, NH Sea Grant College Program, p 44.
   Google Scholar
• Dunn A, Francis RICC, Doonan IJ. 2002. Comparison of the Chapman-Robson and regression estimators of Z from catch-curve data when non-sampling stochastic error is present. Fish Res. 59(1–2):149–159.
   Web of Science ®Google Scholar
• Freyhof J, Kottelat M. 2008. Abramis brama. IUCN Red List of Threatened Species.
   Google Scholar
• Gabriel WL, Mace PM. 1999. A review of biological reference points in the context of the precautionary approach. 5th NMFS NSAW. NOAA Tech. Memo. NMFS–F/SPO–40.
   Google Scholar
• Gislason H, Daan N, Rice JC, Pope JG. 2010. Size, growth, temperature and the natural mortality of marine fish. Fish Fish. 11(2):149–158.
   Web of Science ®Google Scholar
• Goldspink CR. 1978. The population density, growth rate and production of bream, Abramis brama, in Tjeukemeer, the Netherlands. J Fish Biol. 13(4):499–517.
   Web of Science ®Google Scholar
• Goodyear CP. 1993. Spawning stock biomass per recruit in fisheries management: foundation and current use. Can Spec Pub Fish Aquat Sci. 120:67–82.
   Google Scholar
• Griffiths MH. 1997. The application of per-recruit models to Argyrosomus inodorus, an important South African sciaenid fish. Fish Res. 30(1–2):103–115.
   Web of Science ®Google Scholar
• Hilborn R, Walters CJ. 1992. Quantitative fisheries stock assessment. Choice, dynamics, and uncertainty. Chaman and Hall, New York.
   Google Scholar
• Hoenig JM, Barrowman NJ, Hearn WS, Pollock KH. 1998. Multiyear tagging studies incorporating fishing effort data. Can J Fish Aquat Sci. 55(6):1466–1476.
   Web of Science ®Google Scholar
• Huo B, Ma BS, Xie CX, Duan YJ, Yang XF, Huang HP. 2015. Stock assessment and management implications of an endemic fish, Oxygymnocypris stewartii in the Yarlung Zangbo River in Tibet, China. Zool Stud. 54:1–15.
   Web of Science ®Google Scholar
• Kangur P. 1996. On the biology of bream, Abramis brama (L.) in Lake Peipsi in 1994. Hydrobiologia. 338(1–3):173–177.
   Web of Science ®Google Scholar
• Kenchington TJ. 2014. Natural mortality estimators for information-limited fisheries. Fish Fish. 15(4):533–562.
   Web of Science ®Google Scholar
• Kirchner CH, Holtzhausen JA, Voges SF. 2001. Introducing size limits as a management tool for the recreational line fishery of silver kob, Argyrosomus inodorus (Griffiths and Heemstra), in Namibian waters. Fisheries Manage. 8(3):227–237.
   Web of Science ®Google Scholar
• Kirchner CH. 2001. Fisheries regulations based on yield-per-recruit analysis for the linefish silver kob Argyrosomus inodorus in Namibian waters. Fish Res. 52(3):155–167.
   Web of Science ®Google Scholar
• Knip D, Heupel M, Simpfendorfer C. 2012. Mortality rates for two shark species occupying a shared coastal environment. Fish Res. 125–126:184–189.
   Web of Science ®Google Scholar
• Lin YJ, Sun CL, Chang YJ, Tzeng WN. 2015. Sensitivity of yield-per-recruit and spawning-biomass-per-recruit models to bias and imprecision in life history parameters: an example based on life history parameters of Japanese eel (Anguilla japonica). FB. 113(3):302–312.
   Web of Science ®Google Scholar
• Lorenzen K. 1996. The relationship between body weight and natural mortality in juvenile and adult fish: a comparison of natural ecosystems and aquaculture. J Fish Biol. 49(4):627–642.
   Web of Science ®Google Scholar
• Mace PM. 1994. Relationships between common biological reference points used as thresholds and targets of fisheries management strategies. Can J Fish Aquat Sci. 51(1):110–122.
   Web of Science ®Google Scholar
• Peixer J, Catella AC, Petrere Júnior M. 2007. Yield per recruit of the pacu Piaractus mesopotamicus (Holmberg, 1887) in the pantanal of Mato Grosso do Sul, Brazil. Braz J Biol. 67:561–567.
   PubMedGoogle Scholar
• Ricker WE. 1975. Computation and interpretation of biological statistics of fish populations. Bull Fish Res Bd Can. 191:1–382.
   Google Scholar
• Smith MW, Then AY, Wor C, Ralph G, Pollock KH, Hoenig JM. 2012. Recommendations for catch-curve analysis. N Am J Fish Manage. 32(5):956–967.
   Web of Science ®Google Scholar
• Sun CL, Ehrhardt NM, Porch CE, Yeh SZ. 2002. Analyses of yield and spawning stock biomass per recruit for the South Atlantic albacore (Thunnus alalunga). Fish Res. 56(2):193–204.
   Web of Science ®Google Scholar
• Taylor CC. 1958. Cod growth and temperature. J Cons Int Explor Mer. 23(3):366–370.
   Google Scholar
• Then AY, Hoenig JM, Hall NG, Hewitt DA. 2015. Evaluating the predictive performance of empirical estimators of natural mortality rate using information on over 200 fish species. ICES J Mar Sci. 72(1):82–92.
   Web of Science ®Google Scholar
• Treer T, Opačak A, Aničić I, Safner R, Piria M, Odak T. 2003. Growth of bream, Abramis brama in the Croatian Section of the Danube. Czech J Anim Sci. 48:251–256.
   Web of Science ®Google Scholar
• Williams EH, Shertzer KW. 2003. Implications of life-history invariants for biological reference points used in fishery management. Can J Fish Aquat Sci. 60(6):710–720.
   Web of Science ®Google Scholar
• Zhang Z, Campbell A. 2002. Application of a stochastic spawning stock biomass per recruit model for the horse clam fishery in British Columbia. Fishe Res. 57(1):9–23.
   Web of Science ®Google Scholar
• Zhang ZM, Xie CX, Ding HP, Liu CJ, Ma XF, Cai LG. 2016. Age and growth of bream Abramis brama (Linnaeus, 1758) in the downstream section of Irtysh River in China. J Appl Ichthyol. 32(1):105–109.
   Web of Science ®Google Scholar
• Zhang ZM, Liu CJ, Ding HP, Xie P, Ma XF, Guo Y, Xie CX. 2017. Reproductive biology of bream Abramis brama, (L.) in the lower reaches of the Irtysh River, China. Chin J Ocean Limnol. 35(6):1471–1481.
   Google Scholar
• Zischke MT, Griffiths SP. 2015. Per-recruit stock assessment of wahoo (Acanthocybium solandri) in the southwest Pacific Ocean. FB. 113(4):407–418.
   Web of Science ®Google Scholar