Aquat. Living Resour.
Volume 22, Number 2, April-June 2009
Fish Stock Assessments Using Surveys and Indicators
Page(s) 135 - 153
Published online 17 June 2009
  • Anderson C.N.K., Hsieh C.-H., Sandin S.A., Hewitt R., Hollowed A., Beddington J., May R.M., Sugihara G., 2008, Why fishing magnifies fluctuations in fish abundance. Nature 452, 835–839. [CrossRef] [PubMed] [Google Scholar]
  • Anderson R.O., Neumann R.M., 1996, Length, weight, and associated structural indices. In: Murphy B.R., Willis D.W. (Eds.) Fisheries Techniques, Bethesda, Maryland, American Fisheries Society, pp. 447–482. [Google Scholar]
  • Anonymous, 2003, Report of the study group on growth, maturity and condition in stock projections. International Council for the Exploration of the Sea, Copenhagen, ICES CM 2003/D:01 Ref. ACFM, C, G, H, WGMG. [Google Scholar]
  • Anonymous, 2004, Report of the workshop on survey design and data analysis (WKSAD). International Council for the Exploration of the Sea, Copenhagen, ICES CM 2004/B:07, Ref. D.G. [Google Scholar]
  • Anonymous, 2005, Report on the assessment of demersal stocks in the North Sea and Skagerrak. International Council for the Exploration of the Sea, Copenhagen, ICES CM 2005/ACFM:07. [Google Scholar]
  • Anonymous, 2006, Report of the study group on survey trawl standardisation (SGSTS). International Council for the Exploration of the Sea, ICES CM 2006/FTC:05, 67 pp. [Google Scholar]
  • Anonymous, 2007a, Development of EcoQO on changes in the proportion of large fish and evaluation of size-based indicators. International Council for the Exploration of the Sea, Copenhagen, ICES ACE Report 2007. [Google Scholar]
  • Anonymous, 2007b, Report of the working group on the assessment of demersal stocks in the North Sea and Skagerrak – combined spring and autumn. International Council for the Exploration of the Sea, Copenhagen, ICES CM 2007Formula ACFM:18 and 30. [Google Scholar]
  • Anonymous, 2009, Manual for the International Bottom Trawl Surveys. Rev. VII. International Council for the Exploration of the Sea, Copenhagen. [Google Scholar]
  • Apostolaki P., Hillary R., 2009, Harvest control rules in the context of fishery-independent management of fish stocks. Aquat. Living Resour. 22, 217–224. [CrossRef] [EDP Sciences] [Google Scholar]
  • Ault J.S., Smith S.G., Bohnsack J.A., 2005, Evaluation of average length as an estimator of exploitation status for the Florida coral-reef fish community. ICES J. Mar. Sci. 62, 417–423. [CrossRef] [Google Scholar]
  • Babcock R.C., Kelly S., Shears N.T., Walker J.W., Willis T.J., 1999, Changes in community structure in temperate marine reserves. Mar. Ecol. Prog. Ser. 189, 125–134. [CrossRef] [Google Scholar]
  • Barot S., Heino M., O'Brien L., Dieckmann U., 2004, Long-term trend in the maturation reaction norm of two cod stocks. Ecol. Applic. 14, 1257–1271. [CrossRef] [Google Scholar]
  • Beare D., Castro J., Cotter J., van Keeken O., Kell L., Laurec A., Mahé J.C., Moura O., Munch-Petersen S., Nielsen R., Piet G., Simmonds J., Skagen D., Sparre P., 2002, Evaluation of research surveys in relation to management advice (EVARES). Final report. DGXIV Fisheries, European Commission, Brussels FISH/2001/02 - Lot 1. [Google Scholar]
  • Bolger T., Connolly P.L., 1989, The selection of suitable indices for the measurement and analysis of fish condition. J. Fish Biol. 34, 171–182. [CrossRef] [Google Scholar]
  • Caswell H., 2001, Matrix population models. Construction, analysis, and interpretation., Sinauer Associates, Sunderland, Massachusetts. [Google Scholar]
  • Chen P., Yuan W., 2006, Demographic analysis based on the growth parameter of sharks. Fish. Res. 78, 374–379. [CrossRef] [Google Scholar]
  • Cone R.S., 1989, The need to reconsider the use of condition indices in fishery science. Trans. Am. Fish. Soc. 118, 510–514. [CrossRef] [Google Scholar]
  • Cone R.S., Springer T.A., Murphy B.R., Gutreuter S., Anderson R.O., Miranda L.E., Jackson D.C., 1990, Properties of relative weight and other condition indices. Trans. Am. Fish. Soc. 119, 1048–1058. [CrossRef] [Google Scholar]
  • Cotter A.J.R., 1998, Method for estimating variability due to sampling of catches on a trawl survey. Can. J. Fish. Aquat. Sci. 55, 1607–1617. [CrossRef] [Google Scholar]
  • Cotter A.J.R., 2001, Intercalibration of North Sea International Bottom Trawl Surveys by fitting year-class curves. ICES J. Mar. Sci. 58, 622–632 [Erratum, Ibid. 58:1340]. [CrossRef] [Google Scholar]
  • Cotter J., 2009a, A selection of nonparametric statistical methods for assessing trends in trawl survey indicators as part of an ecosystem approach to fisheries management (EAFM). Aquat. Living Resour. 22, 173–185. [CrossRef] [EDP Sciences] [Google Scholar]
  • Cotter J., 2009b, Statistical estimation of mean value of fish stock indicators from trawl surveys. Aquat. Living Resour. 22, 127–133. [CrossRef] [EDP Sciences] [Google Scholar]
  • Cotter A.J.R., Mesnil B., Piet G., 2007, Estimating stock parameters from trawl cpue-at-age series using year-class curves. ICES J. Mar. Sci. 64, 234–247. [CrossRef] [Google Scholar]
  • Cotter J., Petitgas P., Abella A., Apostolaki P., Mesnil B., Politou C.-Y., Rivoirard J., Rochet M.-J., Spedicato M.T., Trenkel V.M., Woillez M., 2009, Towards an ecosystem approach to fisheries management (EAFM) when trawl surveys provide the main source of information. Aquat. Living Resour. 22, 243–254. [CrossRef] [EDP Sciences] [Google Scholar]
  • Cressie N., 1993, Statistics for spatial data, revised edition., J. Wiley, Inc., New York. [Google Scholar]
  • Cury P.M., Christensen V., 2005, Quantitative ecosystem indicators for fisheries management. ICES J. Mar. Sci. 62, 307–310. [CrossRef] [Google Scholar]
  • Deriso R.B., Parma A.M., 1988, Dynamics of age and size for a stochastic population model. Can. J. Fish. Aquat. Sci. 45, 1054–1068. [CrossRef] [Google Scholar]
  • García-Berthou E., Moreno-Amich R., 1993, Multivariate analysis of covariance in morphometric studies of the reproductive cycle. Can. J. Fish. Aquat. Sci. 50, 1394–1399. [CrossRef] [Google Scholar]
  • Garcia S.M., Staples D.J., 2000, Sustainability reference systems and indicators for responsible marine capture fisheries: a review of concepts and elements for a set of guidelines. Mar. Freshw. Res. 51, 385–426. [CrossRef] [Google Scholar]
  • Gedamke T., Hoenig J.M., Musick J.A., DuPaul W.D., Gruber S.H., 2007, Using demographic models to determine intrinsic rate of increase and sustainable fishing for elasmobranchs: pitfalls, advances, and applications. N. Am. J. Fish. Manage. 27, 605–618. [CrossRef] [Google Scholar]
  • Greenstreet S.P.R., Rogers S.I., 2006, Indicators of the health of the North Sea fish community: identifying reference levels for an ecosystem approach to management. ICES J. Mar. Sci. 63, 573–593. [CrossRef] [Google Scholar]
  • Haedrich R.L., Barnes S.M., 1997, Changes over time of the size structure in an exploited shelf fish community. Fish. Res. 31, 229–239. [CrossRef] [Google Scholar]
  • Halliday R.G., Mohn R., 2001, Proceedings of the Fisheries Management Studies working group, Canadian Science Advisory Secretariat, Proc. Ser. 2001/08 Appendix 5. [Google Scholar]
  • Heessen H.J.L., 1997, The International Bottom Trawl Survey in the North Sea, the Skagerrak and Kattegat. International Council for the Exploration of the Sea., ICES CM 1997/Y:31. [Google Scholar]
  • Heino M., 1998, Management of evolving fish stocks. Can. J. Fish. Aquat. Sci. 55, 1971–1982. [CrossRef] [Google Scholar]
  • Heino M., Deickmann U., Godø O.R., 2002, Measuring probabilistic reaction norms for age and size at maturation. Evolution 56, 669–678. [CrossRef] [PubMed] [Google Scholar]
  • Hewitt D.A., Hoenig J.M., 2005, Comparison of two approaches for estimating natural mortality based on longevity. Fish. Bull. 103, 433–437. [Google Scholar]
  • Horst T.J., 1977, Use of the Leslie matrix for assessing environmental impact with an example for a fish population. Trans. Am. Fish. Soc. 106, 253–257. [CrossRef] [Google Scholar]
  • Jennings S., 2005, Indicators to support an ecosystem approach to fisheries. Fish Fish. 6, 212–232. [Google Scholar]
  • Jennings S., 2007, Reporting and advising on the effects of fishing. Fish Fish. 8, 269–276. [Google Scholar]
  • Jennings S., Reynolds J.D., Mills S.C., 1998, Life history correlates of responses to fisheries exploitation. Proc. R. Soc. Biol. Sci. B 265, 333–339. [Google Scholar]
  • Jennings S., Dulvy N.K., 2005, Reference points and reference directions for size-based indicators of community structure. ICES J. Mar. Sci. 62, 397–404. [CrossRef] [Google Scholar]
  • Jennings S., Greenstreet S.P.R., Reynolds J.D., 1999, Structural change in an exploited fish community: a consequence of differential fishing effects on species with constrasting life histories. J. Anim. Ecol. 68, 617–627. [CrossRef] [Google Scholar]
  • Kennedy J., Witthames P.R., Nash R.D.M., 2007, The concept of fecundity regulation in plaice Pleuronectes platessa L. tested on three Irish Sea spawning populations. Can. J. Fish. Aquat. Sci. 64, 587–601. [CrossRef] [Google Scholar]
  • Kennedy J., Witthames P.R., Nash R.D.M., Fox C.J., 2008, Is fecundity in plaice (Pleuronectes platessa L.) down-regulated in response to reduced food intake during autumn? J. Fish Biol. 72, 78–92. [CrossRef] [Google Scholar]
  • Kjesbu O.S., Hunter J.R., Witthames P.R., 2003, Report of the working group on modern approaches to assess maturity and fecundity of warm- and cold-water fish and squids. Institute of Marine Research, Bergen, Norway, Fisken og havet 12. [Google Scholar]
  • Kot M., 2001, Elements of mathematical ecology. Cambridge University Press, Cambridge, UK. [Google Scholar]
  • Kvamme C., Froysa K.G., 2004, Assessing the effects on stocks of selectivity changes in a fishery. Fish. Res. 69, 283–292. [CrossRef] [Google Scholar]
  • Lambert Y., Dutil J.-D., 1997, Can simple condition indices be used to monitor and quantify seasonal changes in the energy reserves of Atlantic cod (Gadus morhua)? Can. J. Fish. Aquat. Sci. 54 (Suppl. 1), 104–112. [CrossRef] [Google Scholar]
  • Lambert Y., Yaragina N.A., Kraus G., Marteinsdottir G., Wright P.J., 2003, Using environmental and biological indices as proxies for egg and larval production of marine fish. J. NW Atl. Fish. Sci. 33, 115–159. [CrossRef] [Google Scholar]
  • Law R., 2000, Fishing, selection, and phenotypic evolution. ICES J. Mar. Sci. 57, 659–668. [Google Scholar]
  • Marchal P., Andersen B., Caillart B., Eigaard O., Guyader O., Hovgaard H., Iriondo A., Le Fur F., Sacchi J., Santurtun M., 2007, Impact of technological creep on fishing effort and fishing mortality, for a selection of European fleets. ICES J. Mar. Sci. 64, 192–209. [Google Scholar]
  • Marteinsdottir G., Thorarinsson K., 1998, Improving the stock and recruitment relationship in Icelandic cod (Gadus morhua L.) by including age diversity of spawners. Can. J. Fish. Aquat. Sci. 55, 1372–1377. [CrossRef] [Google Scholar]
  • Mesnil B., Petitgas P., 2009, Detection of changes in time-series of indicators using CUSUM control charts. Aquat. Living Resour. 22, 187–192. [CrossRef] [EDP Sciences] [Google Scholar]
  • Murua H., Kraus G., Saborido-Rey F., Witthames P.R., Thorsen A., Junquera S., 2003, Procedures to estimate fecundity of marine fish species in relation to their reproductive strategy. J. NW Atl. Fish. Sci. 33, 33–54. [Google Scholar]
  • Petigas P., Poulard J.C., 2009, A multivariate indicator to monitor changes in spatial patterns of age-structured fish populations. Aquat. Living Resour. 22, 165–171. [CrossRef] [EDP Sciences] [Google Scholar]
  • Petitgas P., 2009, The CUSUM out-of-control table to monitor changes in fish stock status using many indicators. Aquat. Living Resour. 22, 201–206. [CrossRef] [EDP Sciences] [Google Scholar]
  • Piet G., Jennings S., 2006, Response of potential fish community indicators to fishing. ICES J. Mar. Sci. 62, 214–225. [CrossRef] [Google Scholar]
  • Pope J.G., 2003, Golden ages or magic moments? Nat. Res. Model. 16, 439–464. [CrossRef] [Google Scholar]
  • Pope J.G., Rice J.C., Daan N., Jennings S., Gislason H., 2006, Modelling an exploited marine fish community with 15 parameters - results from a simple size-based model. ICES J. Mar. Sci. 63, 1029–1044. [Google Scholar]
  • Quinn T.J., Deriso R.B., 1999, Quantitative fish dynamics., Oxford University Press. [Google Scholar]
  • Quinn T.J., Szarzi N.J., 1993, Determination of sustained yield in Alaska's recreational fisheries. International symposium on management strategies for exploited fish populations., Alaska sea grant college program, University of Alaska, Fairbanks, [Google Scholar]
  • Ramsay K., Witthames P.R., 1996, Using oocyte size to assess seasonal ovarian development in Solea solea (L.). J. Sea Res. 36, 275–283. [CrossRef] [Google Scholar]
  • Reznick D.N., 1993, Norms of reaction in fishes. In: Stokes T.K., McGlade J.M., Law R. (Eds.) The exploitation of evolving resources., Berlin, Springer-Verlag, pp. 72–90. [Google Scholar]
  • Rideout R.M., Rose G.A., 2006, Suppression of reproduction in Atlantic cod. Mar. Ecol. Prog. Ser. 320, 267–277. [CrossRef] [Google Scholar]
  • Rideout R.M., Rose G.A., Burton M.P.M., 2005, Skipped spawning in female iteroparous fishes. Fish Fish. 6, 50–72. [Google Scholar]
  • Rijnsdorp A.D., 1989, Maturation of male and female North Sea plaice (Pleuronectes platessa L.). J. Cons. Int. Explor. Mer 46, 35–51. [Google Scholar]
  • Rijnsdorp A.D., 1990, The mechanism of energy allocation over reproduction and somatic growth in female North Sea plaice, Pleuronectes platessa L. Neth. J. Sea Res. 25, 279–290. [CrossRef] [Google Scholar]
  • Rochet M.-J., Cornillon P.A., Sabatier R., Pontier D., 2000, Comparative analysis of phylogenetic and fishing effects in life history patterns of Teleost fishes. Oikos 91, 255–270. [CrossRef] [Google Scholar]
  • Rochet M.-J., Trenkel V.M., 2003, Which community indicators can measure the impact of fishing? A review and proposals. Can. J. Fish. Aquat. Sci. 60, 86–99. [CrossRef] [Google Scholar]
  • Rochet M.-J., Trenkel V.M., Bellail R., Coppin F., Le Pape O., Mahé J.C., Morin J., Poulard J.C., Schlaich I., Souplet A., Vérin Y., Bertrand J., 2005, Combining indicator trends to assess ongoing changes in exploited fish communities: diagnostic of communities off the coasts of France. ICES J. Mar. Sci. 62, 1647–1664. [CrossRef] [Google Scholar]
  • Salthaug A., Aanes S., 2003, Catchability and the spatial distribution of fishing vessels. Can. J. Fish. Aquat. Sci. 60, 259–268. [CrossRef] [Google Scholar]
  • Scott B.E., Marteinsdottir G., Begg G.A., Wright P.J., Kjesbu O.S., 2006, Effects of population size/age structure, condition temporal dynamics of spawning on reproductive output in Atlantic cod (Gadus morhua). Ecol. Model. 191, 383–415. [Google Scholar]
  • Shin Y.-J., Cury P.M., 2004, Using an individual-based model of fish assemblages to study the response of size spectra to changes in fishing. Can. J. Fish. Aquat. Sci. 61, 414–431. [CrossRef] [Google Scholar]
  • Shin Y.-J., Rochet M.-J., Jennings S., Field J.G., Gislason H., 2005, Using size-based indicators to evaluate the ecosystem effects of fishing. ICES J. Mar. Sci., 62, 384–396. [Google Scholar]
  • Shulman G.E., Love R.M., 1999, The biochemical ecology of marine fishes. In: Southward A.J., Taylor P.A., Young C.M. (Eds.) Advances in Marine Ecology, Academic Press, London, 36. [Google Scholar]
  • Sinclair A.F., 2001, Natural mortality of cod (Gadus morhua) in the southern Gulf of St. Lawrence. ICES J. Mar. Sci. 58, 1–10. [CrossRef] [Google Scholar]
  • Stearns S.C., 1992, The evolution of life histories., Oxford University Press, Oxford, UK. [Google Scholar]
  • Stokes T.K., Law R., 2000, Fishing as an evolutionary force. Mar. Ecol. Prog. Ser., 208, 299–313. [Google Scholar]
  • Thoresen A., Marshall C.T., Kjesbu O.S., 2006, Comparison of various potential fecundity models for north-east Arctic cod Gadus morhua L. using oocyte diameter as a standardizing factor. J. Fish. Biol. 69, 1709–1730. [CrossRef] [Google Scholar]
  • Trenkel V.M., Cotter J., 2009, Choosing survey time series for populations as part of an ecosystem approach to fishery management. Aquat. Living Resour. 22, 121–126. [CrossRef] [EDP Sciences] [Google Scholar]
  • Trenkel V.M., Rochet M.-J., Mesnil B., 2007, From model-based prescriptive advice to indicator-based interactive advice. ICES J. Mar. Sci. 64, 768–774. [CrossRef] [Google Scholar]
  • Trippel E.A., 1995, Age at maturity as a stress indicator in fisheries. Bioscience 45, 759–771. [CrossRef] [Google Scholar]
  • Trippel E.A., Ed. 2003, Reproductive potential of fish populations of the North Atlantic. J. NW Atl. Fish. Sci. Dartmouth, Nova Scotia, Northwest Atlantic Fisheries Organization. [Google Scholar]
  • Venables W.N., Ripley B.D., 2002, Modern applied statistics with S. Springer, New York. [Google Scholar]
  • Vetter E.F., 1988, Estimation of natural mortality in fish stocks: a review. Fish. Bull. 86, 25–43. [Google Scholar]
  • Westrheim S.J., Ricker W.E., 1978, Bias in using an age-length key to estimate age-frequency distributions. J. Fish. Res. Board Can. 35, 184–189. [Google Scholar]
  • Woillez M., Rivoirard J., Petitgas P., 2009, Notes on survey-based spatial indicators for monitoring fish populations. Aquat. Living Resour. 22, 155–164. [CrossRef] [EDP Sciences] [Google Scholar]
  • Wood S.N., 2006, Generalized additive models; an introduction with R., Chapman & Hall/CRC, Boca Raton. [Google Scholar]

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