Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
2013 | 43 | 2 |

Tytuł artykułu

Challenges and opportunities of local fisheries management: pikeperch, Sander lucioperca (Actinopterygii: Perciformes: Percidae), in Pärnu Bay, northern Gulf of Riga, Baltic Sea

Warianty tytułu

Języki publikacji



Background. A local stock of pikeperch, Sander lucioperca (Linnaeus, 1758), is a valuable fishery resource in Pärnu Bay, northern Gulf of Riga. Due to the late maturity of pikeperch in the bay, the stock is vulnerable to overexploitation, whereas recruitment is highly dependent on climate factors. Because of its high market price, fishing pressure on the stock increased considerably in the 1990s, resulting in stock depression. To assist fishery management in Pärnu Bay we have simulated the effect of several scenarios (such as: fishing mortality, climate, and young-of-the-year food supply) on the pikeperch stock, catches, and revenues generated by the fishery. Materials and Methods. A simulation system consisting of an age-structured population model, a recruitment component, and a forcing module of different climate, food supply to young-of-the-year, and fishing mortality scenarios was used to estimate the equilibrium stock size and catches under varying environmental conditions and exploitation strategies. Economic impacts of these scenarios were assessed based on the first selling price of pikeperch. Results. Under present climate and food supply for pikeperch young-of-the-year, the Pärnu Bay pikeperch stock is very sensitive to catches of immature fish. Warmer future climate conditions are likely to be beneficial for the stock, but also prey abundance for young-of-the-year influences potential stock sizes and catches. Compared to targeting its prey species, herring, which has a lower commercial value at current first selling prices, pikeperch acts as a “biomeliorator”, roughly doubling fisheries revenue in the bay. Conclusion. Flexible adaptive management methods should be used to estimate the yearly allowable pikeperch catch, taking into account food supply to young-of-the-year and climate conditions influencing recruitment.

Słowa kluczowe








Opis fizyczny



  • Latvian Institute of Aquatic Ecology, 8 Daugavgrivas, LV-1007 Riga, Latvia
  • Baltic Nest Institute, Stockholm Marine Centre, Stockholm University, Stockholm, Sweden (present address)
  • Estonian Marine Institute of the University of Tartu, 14 Mäealuse, EE-12618 Tallinn, Estonia
  • Latvian Institute of Aquatic Ecology, 8 Daugavgrivas, LV-1007 Riga, Latvia
  • Estonian Marine Institute of the University of Tartu, 14 Mäealuse, EE-12618 Tallinn, Estonia
  • Estonian Marine Institute of the University of Tartu, 14 Mäealuse, EE-12618 Tallinn, Estonia


  • Akaike H. 1974. A new look at the statistical model identification.IEE Transactions on Automatic Control 19 (6):716–723. DOI: 10.1109/TAC.1974.1100705
  • Andrews J.M., Blythe S.P., Gurney W.S.C. 2004. Stability analysis of a continuous age-structured model with specific reference to North Sea cod. Journal of Biological Systems 12 (3): 249–260. DOI: 10.1142/S0218339004001191
  • Anonymous 1996. Third periodic assessment of the state of the Baltic Sea 1989 – 1993. Background Document. HELCOM
  • Anonymous 2002. Fourth periodic assessment of the state of the marine environment in the Baltic Sea area, 1994–1998.HELCOM.
  • Arula T., Kotta J., Lankov A., Simm M., Põlme S. 2012. Diet composition and feeding activity of larval spring-spawning herring: Importance of environmental variability. Journal of Sea Research 68: 33–40. DOI: 10.1016/j.seares.2011.12.003
  • Berzinsh V. 1995. Hydrological regime. Pp. 7–31. In: Ojaveer E.(ed.) Ecosystem of the Gulf of Riga between 1920 and 1990.Vol. 5. Estonian Academy Publishers, Tallinn, Estonia.
  • Bjørnstad O.N., Fromentin J.-M., Stenseth N.C., Gjøsæter J.1999. Cycles and trends in cod populations. Proceedings of the National Academy of Sciences of the United States of America 96 (9): 5066–5071. DOI: 10.1073/pnas.96.9.5066
  • Chen Q.X., Chan K.S., Lekve K., Torstensen E., Gjøsæter J.,Ottersen G., Stenseth N.C. 2005. Population dynamics of cod Gadus morhua in the North Sea region: Biological density-dependent and climatic density-independent effects.Marine Ecology-Progress Series 302: 219–232. DOI:10.3354/meps302219
  • Daskalov G. 1999. Relating fish recruitment to stock biomass and physical environment in the Black Sea using generalized additive models. Fisheries Research 41 (1): 1–23. DOI:10.1016/S0165-7836(99)00006-5
  • Eero M. 2004. Consequences of management of pikeperch (Stizostedion lucioperca L.) stock in Pärnu Bay (Baltic Sea)under two different economic regimes, 1960–1999.Fisheries Research 68 (1–3): 1–7. DOI: 10.1016/j.fishres.2004.03.002
  • Erm V. 1981a. Koha. [Pikeperch.] Valgus, Tallinn, Estonia. [In Estonian.]
  • Erm V. 1981b. Populâcionnye parametry i ocenka stepeni čkspluatacii zapasov sudaka v Pârnuskoj buhte. [Population parameters and estimation of the exploitation rate of pikeperch in Pärnu Bay.] Rybohozâjstviennye issledovaniâ v bassejne Baltijskogo morâ, Riga 16: 46–63.
  • Erm V., Vaino V., Saat T. 2003. Pikeperch, Sander lucioperca-Fishes of Estonia. Pp. 296–306. In: Ojaveer E., Pihu E.,Saat T. (eds.) Fishes of Estonia. Estonian Academy, Tallinn,Estonia.
  • Fiksen Ø., Slotte A. 2002. Stock-environment recruitment models for Norwegian spring spawning herring (Clupea harengus).Canadian Journal of Fisheries and Aquatic Sciences 59 (2): 211–217. DOI: 10.1139/f02-002
  • Frankiewicz P., Dabrowski K., Martyniak A., Zalewski M.1999. Cannibalism as a regulatory force of pikeperch,Stizostedion lucioperca (L.), population dynamics in the lowland Sulejow reservoir (Central Poland). Hydrobiologia 408–409 (0): 47–55. DOI: 10.1023/A:1017001803791
  • Garcia X.-F., Diekmann M., Brämick U., Lemcke R.,Mehner T. 2006. Correlations between type-indicator fish species and lake productivity in German lowland lakes.Journal of Fish Biology 68 (4): 1144–1157. DOI:10.1111/j.0022-1112.2006.01009.x
  • Gröger J.P., Winkler H., Rountree R.A. 2007. Population dynamics of pikeperch (Sander lucioperca) and its linkage to fishery driven and climatic influences in a southern Balic lagoon of the Darss-Zingst Bodden chain. Fisheries Research 84 (2): 189–201. DOI: 10.1016/j.fishres.2006.10.018
  • Guthrie D.M. 1986. Role of vision in fish behaviour. Pp.75–113. In: Pitcher T.J. (ed.) The behaviour of teleost fishes.Croom Helm, Beckenham, Kent, UK. DOI: 10.1007/978-1-4684-8261-4_4
  • Haddon M. 2011. Modelling and quantitative methods in fisheries.2nd edn. CRC Press, Boca Raton, FL, USA.
  • Håkanson L. 1999. Error propagations in step-by-step predictions:examples for environmental management Rusing regression models for lake ecosystems. Environmental Modelling and Software 14 (1): 49–58. DOI:10.1016/S1364-8152(98)00022-X
  • Håkanson L. 2003. Propagation and analysis of uncertainty In ecosystem models. Pp. 139–167. In: Canham C.D., Cole J.J.,Lauenroth W.K. (eds.) Models in ecosystem science.Princeton University Press, Princeton, New Jersey, USA.
  • Hastie T., Tibshirani R. 1986. Generalized additive models.Statistical Science 1 (3): 297–318. DOI: 10.1214/ss/1177013604
  • Higgins K., Hastings A., Sarvela J.N., Botsford L.W. 1997.Stochastic dynamics and deterministic skeletons: Population behavior of Dungeness crab. Science 276 (5317):1431–1435. DOI: 10.1126/science.276.5317.1431
  • Kangur K., Park Y.-S., Kangur A., Kangur P., Lek S. 2007.Patterning long-term changes of fish community in large shallow Lake Peipsi. Ecological Modelling 203(1–2):34–44. DOI: 10.1016/j.ecolmodel.2006.03.039
  • Keyl F.,Wolff M. 2008. Environmental variability and fisheries: what can models do? Reviews in Fish Biology and Fisheries 18 (3): 273–299. DOI: 10.1007/s11160-007-9075-5
  • Kotta J., Kotta I., Simm M., Põllupüü M. 2009. Separate and interactive effects of eutrophication and climate variables on the ecosystem elements of the Gulf of Riga. Estuarine,Coastal and Shelf Science 84 (4): 509–518. DOI:10.1016/j.ecss.2009.07.014
  • Lappalainen J., Dörner H., Wysujack K. 2003. Reproduction biology of pikeperch (Sander lucioperca (L.))—a review.Ecology of Freshwater Fish 12 (2): 95–106.DOI: 10.1034/j.1600-0633.2003.00005.x
  • Lappalainen J., Erm V., Kjellman J., Lehtonen H. 2000.Size-dependent winter mortality of age-0 pikeperch (Stizostedion lucioperca) in Pärnu Bay, the Baltic Sea.Canadian Journal of Fisheries and Aquatic Sciences 57 (2):451–458. DOI: 10.1139/f99-270
  • Lappalainen J., Milardi M., Nyberg K., Venäläinen A. 2009.Effects of water temperature on year-class strengths and growth patterns of pikeperch (Sander lucioperca (L.)) in the brackish Baltic Sea. Aquatic Ecology 43 (1): 181–191. DOI:10.1007/s10452-007-9150-y
  • Lappalainen J., Olin M., Vinni M. 2006. Pikeperch cannibalism:effects of abundance, size and condition. Annales Zoologici Fennici 43 (1): 35–44.
  • Lappalainen A., Soderkultalahti P.,Wiik T. 2002. Changes In the commercial fishery for pikeperch (Stizostedion lucioperca)on the Finnish coast from 1980 to 1999—Consequences of environmental and economic factors. Archive of Fishery and Marine Research 49 (3): 199–212.
  • Laur K., Arula T., Ojaveer H. 2009. Long-term dynamics of early life stages of gobies (Pomatoschistus spp.) in Pärnu Bay (Gulf of Riga). Pp. 231–231. In: Abstract book: 7th Baltic Sea Science Congress 2009; 17–21 August 2009,Tallinn University of Technology, Estonia.
  • Lehtonen H., Hansson S., Winkler H. 1996. Biology and exploitation of pikeperch, Stizostedion lucioperca (L), in the Baltic Sea area. Annales Zoologici Fennici 33 (3–4):525–535.
  • MacKenzie B.R., Gislason H., Möllmann C., Köster F.W.2007. Impact of 21st century climate change on the Balic Sea fish community and fisheries. Global Change Biology 13 (7): 1348–1367. DOI: 10.1111/j.1365-2486.2007.01369.x
  • Marjomäki T.J. 2004. Analysis of the spawning stock-Recruitment relationship of vendace (Coregonus albula (L.)) with evaluation of alternative models, additional variables,biases and errors. Ecology of Freshwater Fish 13 (1):46–60. DOI: 10.1111/j.0906-6691.2004.00041.x
  • Megrey B.A., Lee Y.-W., Macklin S.A. 2005. Comparative analysis of statistical tools to identify recruitment-Environment relationships and forecast recruitment strength.ICES Journal of Marine Science 62 (7): 1256–1269. DOI:10.1016/j.icesjms.2005.05.018
  • Nehring D., Schulz S., Rechlin O. 1989. Eutrophication and fishery resources in the Baltic. Journal du Conseil International pour l’Exploration de la Mer 190: 198–205.
  • Ojaveer E., Arula T., Lankov A., Shpilev H. 2011. Impact of environmental deviations on the larval and year-class abundances in the spring spawning herring (Clupea harengus membras L.) of the Gulf of Riga (Baltic Sea) in 1947–2004.Fisheries Research 107 (1–3): 159–168. DOI:10.1016/j.fishres.2010.11.001
  • Ojaveer H., Lankov A., Lumberg A., Turovski A. 1997.Forage fishes in the brackish Gulf of Riga ecosystem (Balic Sea). Pp. 293–309. In: Forage fishes in marine ecosystems. Proceedings of the International Symposium on the Role of Forage Fishes in Marine Ecosystems. Anchorage, Alaska,USA, November 13–16, 1996. Alaska Sea Grant College Program, University of Alaska Fairbanks.
  • Paavel B., Arst H., Metsamaa L., Toming K., Reinart A.2011. Optical investigations of CDOM-rich coastal waters in Pärnu Bay. Estonian Journal of Earth Sciences 60 (2): 102–112. DOI: 10.3176/earth.2011.2.04
  • Sandström A., Karås P. 2002. Effects of eutrophication on young-of-the-year freshwater fish communities in coastal areas of the Baltic. Environmental Biology of Fishes 63 (1):89–101. DOI: 10.1023/A:1013828304074
  • Sprugel D.G. 1983. Correcting for bias in log-transformed allometric equations. Ecology 64 (1): 209–210. DOI:10.2307/1937343
  • Tomczak M.T., Müller-Karulis B., Järv L., Kotta J., Martin G., Minde A., Põllumäe A., Razinkovas A., Strake S.,BucasM., Blenckner T. 2009. Analysis of trophic networks and carbon flows in south-eastern Baltic coastal ecosystems.Progress in Oceanography 81 (1–4): 111–131. DOI:10.1016/j.pocean.2009.04.017
  • Utne-Palm A.C. 2002. Visual feeding of fish in a turbid environment:Physical and behavioural aspects. Marine and Freshwater Behaviour and Physiology 35 (1–2): 111–128.DOI: 10.1080/10236240290025644
  • Vetemaa M., Eero M., Hannesson R. 2002. The Estonian fisheries:from the Soviet system to ITQs and quota auctions.Marine Policy 26 (2): 95–102. DOI: 10.1016/S0308-597X(01)00040-9
  • Vetemaa M., Eschbaum R., Aps R., Saat T. 2000. Collapse of political and economical system as a cause for instability In fisheries sector: an Estonian case. Pp. 1–9. In: Proceedings of the IIFET 2000 International Conference Microbehaviour and Macroresults; 10–14 July 2000, Oregon State University, Corvallis, OR, USA.
  • Vetemaa M., Eschbaum R., Saat. T. 2006. The transition from the Soviet system to a market economy as a cause of instability in the Estonian coastal fisheries sector. Marine Policy 30 (6): 635–640. DOI: 10.1016/j.marpol.2005.08.001
  • Winkler H.M. 1989. The role of predators in fish communities in shallow coastal waters of the southeast Baltic. Rapports et Proces-verbaux des Réunions. Conseil International pour l’Exploration de la Mer 190: 125–132.
  • Wood S.R. 2006. Generalized additive models. An introduction with R. Chapman and Hall/CRC, Texts in Statistical Science, Boca Ration, FL, USA.


rekord w opracowaniu

Typ dokumentu



Identyfikator YADDA

JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.