Hostname: page-component-78c5997874-94fs2 Total loading time: 0 Render date: 2024-11-10T15:40:56.973Z Has data issue: false hasContentIssue false
  • English
  • Français

Analysis of horse mackerel, blue whiting, and hake catch data from Portuguese surveys (1989–1999) using an integrated GLM approach

Published online by Cambridge University Press:  25 July 2007

Pedro Sousa ,
Ricardo T. Lemos ,
Manuel C. Gomes  and
Manuela Azevedo
Pedro Sousa
Affiliation:
DRM, IPIMAR, Portuguese Institute for Fisheries and Sea Research, Av. de Brasília, 1449-006 Lisbon, Portugal
Ricardo T. Lemos
Affiliation:
IO, Faculty of Sciences, Univ. Lisbon, Campo Grande, 1749-016 Lisbon, and MARETEC, Technical Institute, Technical Univ. Lisbon, 1000-201 Lisbon, Portugal
Manuel C. Gomes
Affiliation:
DBV, Faculty of Sciences, Univ. Lisbon, Campo Grande, 1749-016 Lisbon, Portugal
Manuela Azevedo
Affiliation:
DRM, IPIMAR, Portuguese Institute for Fisheries and Sea Research, Av. de Brasília, 1449-006 Lisbon, Portugal
Get access

Abstract

Catch rates (kg hour−1) of horse mackerel (Trachurus trachurus), blue whiting (Micromesistius poutassou) and hake (Merluccius merluccius) from a series of 22 groundfish surveys conducted off Portugal between 1989 and 1999 were analysed using integrated logistic and gamma Generalized Linear Models (GLM). This methodology deals with the large amount of zeros in survey data matrices by modelling the probability of catch and the amount of positive catch separately, and then integrating the two sub-models into a single catch rate model of abundance. Among the explanatory variables included in the models, the geographic areas occupied by fish assemblages, i.e., groups of persistent co-occurring species, explained most of the variability observed for horse mackerel and blue whiting, while depth was the most important factor for hake. Because of hake's ubiquity on the Portuguese margin, models for this species were less parsimonious and explained a lower proportion of total variability compared with the other species. The abundance of horse mackerel is much higher in the winter and reduces with depth. Blue whiting and horse mackerel exhibited opposite trends in abundance from 1991 to 1994, with the latter species presenting a higher abundance throughout this period. No clear temporal trends of abundance were detected for hake. The effect of trawling hour in models suggested that horse mackerel and blue whiting exhibit vertical migrations, staying close to the bottom by day, when abundance is higher. The current approach proved to cope well with sparse catch data matrices and brought out novel information on the ecology of fish species in the Portuguese continental margin by successfully integrating environmental information into the analysis of fish abundance.

Keywords

AbundanceFisheriesBlue whitingHakeHorse mackerelGLM
Type
Research Article
Information
Aquatic Living Resources , Volume 20 , Issue 2 , April 2007 , pp. 105 - 116
Copyright
© EDP Sciences, IFREMER, IRD, 2007

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Abaunza, P., Gordo, L., Karlou-Riga, C., Murta, A., Eltink, A.T.G.W., García Santamaría, M.T., Zimmermann, C., Hammer, C., Lucio, P., Iversen, S.A., Molloy, J., Gallo, E., 2003, Growth and reproduction of horse mackerel, Trachurus trachurus (Carangidae). Rev. Fish. Biol. Fishes 13, 27-61. CrossRef
Aitchinson J., Brown J.A.C., 1957, The lognormal distribution with special reference to its uses in economics. Cambridge: Cambridge University Press.
Bailey, R.S., 1982, The population biology of blue whiting in the North Atlantic. Adv. Mar. Biol. 19, 257-335. CrossRef
Brynjarsdóttir, J., Stefánsson, G., 2004, Analysis of cod catch data from Icelandic groundfish surveys using generalized linear models. Fish. Res. 70, 195-208. CrossRef
Cabral, H., Murta, A., 2002, The diet of blue whiting, hake, horse mackerel and mackerel off Portugal. J. Appl. Ichthyol. 18, 14-23. CrossRef
Cardador F., 1995, Factors influencing the distribution and abundance of hake (Merluccius merluccius) in the Portuguese waters (ICES Div. IXa) based on groundfish survey data. ICES CM 1995/G:20, 14 p.
Cardador F., Cunha M.E., Borges L., Rosa T.L., 2000, Hake (Merluccius merluccius) on the Portuguese continental shelf: distribution and abundance in relation to biological and environmental conditions. 3 ${\rm rd}$ Symposium on the Iberian Atlantic Margin.Faro, Portugal.
Cardador F., Sanchéz F., Pereiro F.J., Borges M.F., Caramelo A.M., Azevedo M., Silva A., Pérez N., Martins M.M., Olaso I., Pestana G., Trujillo V., Fernandez A., 1997, Groundfish surveys in the Atlantic Iberian waters (ICES divisions VIIIc and IXa): history and perspectives. ICES C.M. 1997/Y:08, 29 p.
Carrera, P., Meixide, M., Porteiro, C., Miquel, J., 2001, Study of the blue whiting movements around the Bay of Biscay using acoustic methods. Fish. Res. 50, 151-161. CrossRef
Conan G.Y., 1985, Assessment of shellfish stocks by geostatistical techniques. ICES C.M. 1985/K:30, 19 p.
Coombs, S.H., Morgans, D., Halliday, N.C., 2001, Seasonal and ontogenetic changes in the vertical distribution of eggs and larvae of mackerel (Scomber scombrus L.) and horse mackerel (Trachurus trachurus L.). Fish. Res. 50, 27-40. CrossRef
Cunha M.E., 2001, Physical control of biological processes in a coastal upwelling system: comparison of the effects of coastal topography, river run-off and physical oceanography in the northern and southern parts of the western Portuguese coastal waters. PhD Thesis, Faculty of Sciences, University of Lisbon.
Dunn, P.K., Smyth, G.K., 1996, Randomized quantile residuals. J. Comput. Graphic. Stat. 5, 1-10.
Gordoa, A., Macpherson, E., 1991, Diurnal variation in the feeding activity and catch rate of cape hake (Merluccius capensis and M. paradoxus) off Namibia. Fish. Res. 12, 299-305. CrossRef
Hosmer D.W., Lemeshow S., 1989, Applied Logistic Regression. John Wiley & Sons, New York.
ICES, 2002, Manual for the international bottom trawl surveys in the western and southerns areas. Dublin, Resource Management Committee. Addendum to ICES C.M. 2002/D:03 Ref.: G ACFM, ACE.
IPIMAR, 2000, Estudo do verdinho na costa continental portuguesa: biologia, dinâmica e relações com as condições ambientais. Final Report – PRAXIS XXI, 2/2.1/MARE/1710/95.
Jardas, I., Šantić, M., Pallaoro, A., 2004, Diet composition and feeding intensity of horse mackerel, Trachurus trachurus (Osteichthyes: Carangidae) in the eastern Adriatic. Mar. Biol. 144, 1051-1056. CrossRef
Lemos, R.T., Gomes, J.F., 2004, Do local environmental factors induce daily and yearly variability in bluefin tuna (Thunnus thynnus) trap catches? Ecol. Model. 177, 143-156. CrossRef
Lo, NC, Jacobson, L.D., Squire, J.L., 1992, Indices of relative abundance from fish spotter data based on delta-lognormal models. Can. J. Fish. Aquat. Sci. 49, 2515-2526. CrossRef
Macer, CT., 1977, Some aspects of the biology of the horse mackerel (Trachurus trachurus) in waters around Britain. J. Fish. Biol. 10, 51-62. CrossRef
Macpherson, E., Duarte, C.M., 1991, Bathymetric trends in demersal fish size: is there a general relationship? Mar. Ecol. Prog. Ser. 71, 103-112 CrossRef
Maunder, M.N, Punt, A.E., 2004, Standardizing catch and effort data: a review of recent approaches. Fish. Res. 70, 141-159. CrossRef
McCullagh P., Nelder J.A., 1989, Generalized Linear Models. Chapman & Hall.
Myers R.A., Pepin P., 1986, The estimation of population size from research surveys using regression models. ICES C.M. 1986/D:9, 21 p.
Myers, R.A., Pepin, P., 1990, The robustness of lognormal-based estimators of abundance. Biometrics 46, 1185-1192. CrossRef
Ortiz, M., Arocha, F., 2004, Alternative error distribution models for standardization of catch rates of non-target species from a pelagic longline fishery: billfish species in the Venezuelan tuna longline fishery. Fish. Res. 70, 275-297. CrossRef
Papaconstantinou C., Stergiou K.I., 1995, Biology and fisheries of eastern Mediterranean hake (M. merluccius). In: Alheit J. and Pitcher T. (eds.), Hake: Biology, Fisheries and Markets, pp. 149-180. Chapman & Hall, Fish and Fisheries Series, 15.
Pennington, M., 1983, Efficient estimators of abundance, for fish and plankton surveys. Biometrics 39, 281-286. CrossRef
Pennington, M., 1996, Estimating the mean and variance from highly skewed marine data. Fish. Bull. 94, 498-505.
Petitgas, P., 1993, Geostatistics for fish stock assessments: a review and an acoustic application. ICES. J. Mar. Sci. 50, 285-298. CrossRef
Pierce, D.A., Schafer, D.W., 1986, Residuals in Generalized Linear Models. J. Am. Stat. Assoc. 81, 977-986. CrossRef
Polonski A.S., 1965, The horse mackerel of the Eastern Atlantic and its fishery. Rybn. Khoz. (Mosc) 41(6), 8-10 and (7), 13-15, No. N.S. 85, Transl. by Fish. Lab. Lowestoft.
R Development Core Team, 2006, R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria, ISBN 3-900051-07-0, URL http://www.R-project.org.
Reid, D.G., 2001, SEFOS – shelf edge fisheries and oceanography studies: an overview. Fish. Res. 50, 1-15. CrossRef
Ridout M., Demétrio C.G.B., Hinde J., 1998, Models for count data with many zeroes. International Biometric Conference, Cape Town, December 1998, 13 p.
Rückert, C., Floeter, J., Temming, A., 2002, An estimate of horse mackerel biomass in the North Sea, 1991-1997. ICES J. Mar. Sci. 59, 120-130. CrossRef
Sánchez F., 1993, Padrones de distribución y abundância de la merluza en aguas de la plataforma Norte de la Península Ibérica. In: Jornadas sobre el estado actual de los conocimientos de las poblaciones de merluza que habitan la plataforma continental Atlântica y Mediterrânica de la Unión Europea con especial atención a la Península Ibérica, pp. 255-279. 13-17 Diciembre, Vigo.
Santos, A.M.P., Borges, M.F., Groom, S., 2001, Sardine and horse mackerel recruitment and upwelling off Portugal. ICES J. Mar. Sci. 58, 589-596. CrossRef
Silva A., Azevedo M., Cabral H., Machado P., Murta A., Silva M.A., 1997, Blue whiting (Micromesistius poutassou) as a forage fish in Portuguese waters. Proceedings. Forage fishes in marine ecosystems. Alaska Sea Grant College Program, pp. 127-146.
Silva A., Pestana G., Dias C., Godinho S., 1996, Preliminary results on the distribution and spawning of blue whiting, Micromesistius poutassou, off the Portuguese coast. ICES CM 1996/H:16, 22 p.
Sousa, P., Azevedo, M., Gomes, M.C., 2005, Demersal assemblages off Portugal: mapping, seasonal, and temporal patterns. Fish. Res. 75, 120-137. CrossRef
Sousa, P., Azevedo, M., Gomes, M.C., 2006, Species-richness patterns in space, depth, and time (1989-1999) of the Portuguese fauna sampled by bottom trawl. Aquat. Living Resour. 19, 93-103. CrossRef
Stefánsson, G., 1996, Analysis of groundfish survey data: Combining the GLM and delta approaches. ICES J. Mar. Sci. 53, 577-588. CrossRef
Trondsen, T., 1998, Blue whiting surimi: new perspectives on the market value. Fish. Res. 34, 1-15. CrossRef
Tserpes, G., Peristeraki, P., Di Natale, A., 2004, Standardised catch rates for swordfish (Xiphias gladius) from the Italian and Greek fisheries operating in the central-eastern Mediterranean. Collect. Vol. Sci. Pap. ICCAT 56, 850-859.
Tu W., 2002, Zero-inflated data. In: El-Shaarawi AH, Piegorsch WW (eds.) Encyclopedia of Environmetrics, Vol. 4. John Wiley & Sons, Chichester, pp. 2387-2391.
Turkman M.A.A., Silva G.L., 2000, Modelos Lineares Generalizados, da teoria à prática. VIII Congresso Anual da Sociedade Portuguesa de Estatística, Lisboa.
Ye, Y., Al-Husaini, M., Al-Baz, A., 2001, Use of generalized linear models to analyze catch rates having zero values: the Kuwait driftnet fishery. Fish. Res. 53, 151-168. CrossRef