Abstract
The generalized linear model (GLM) and generalized additive model (GAM) were applied to the standardization of catch per unit effort (CPUE) for Chilean jack mackerel from Chinese factory trawl fishing fleets in the Southeast Pacific Ocean from 2001 to 2010 by removing the operational, environmental, spatial and temporal impacts. A total of 9 factors were selected to build the GLM and GAM, i.e., Year, Month, Vessel, La Niña and El Niño events (ELE), Latitude, Longitude, Sea surface temperature (SST), SST anomaly (SSTA), Nino3.4 index and an interaction term between Longitude and Latitude. The first 5 factors were significant components in the GLM, which in combination explained 27.34% of the total variance in nominal CPUE. In the stepwise GAM, all factors explained 30.78% of the total variance, with Month, Year and Vessel as the main factors influencing CPUE. The higher CPUE occurred during the period April to July at a SST range of 12–15°C and a SSTA range of 0.2–1.0°C. The CPUE was significantly higher in normal years compared with that in La Niña and El Niño years. The abundance of Chilean jack mackerel declined during 2001 and 2010, with an increase in 2007. This work provided the relative abundance index of Chilean jack mackerel for stock assessment by standardizing catch and effort data of Chinese trawl fisheries and examined the influence of temporal, spatial, environmental and fisheries operational factors on Chilean jack mackerel CPUE.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
Arancibia, H., Alarcón, R., Cubillos, L., and Arcos, D., 1995a. A landing forecast for horse mackerel, Trachurus symmetricus murphyi (Nichols, 1920) off central Chile. Scientia Marina, 59: 113–117.
Arancibia, H., Cubillos, L., Arcos, D., Grechina, A., and Vilugrón, L., 1995b. The fishery of horse mackerel (Trachurus symmetricus murphyi) in the South Pacific Ocean, with notes on the fishery off central-southern Chile. Scientia Marina, 59(3–4): 589–596.
Arcos, D. F., Cubillos, L. A., and Nuñez, S. P., 2001. The jack mackerel fishery and El Niño 1997-98 effects of Chile. Progress in Oceanography, 49: 597–617.
Bigelow, K. A., Boggs, C. H., and He, X., 1999. Environmental effects on swordfish and blue shark catch rates in the US North Pacific longline fishery. Fisheries Oceanography, 8: 178–198.
Bigelow, K. A., Hampton, J., and Miyabe, N., 2002. Application of a habitat-based model to estimate effectivelongline fishing effort and relative abundance of Pacific bigeye tuna (Thunnus obesus). Fisheries Oceanography, 11: 143–155.
Bishop, J., Die, D., and Wang Y. G., 2000. A generalized estimating equations approach for analysis of fishing power in the Australian Northern Prawn Fishery. Australian and New Zealand Journal of Statistics, 42: 159–177.
Campbell, R., 2004. CPUE standardization and the construction of indices of stock abundance in a spatially varying fishery using general linear models. Fisheries Research, 70: 209–227.
Chambers, J. M., and Hastie, T. J., 1993. Statistical Models in S. Chapman and Hall, London, 608pp.
Corten, A., and Janusz, J., 2010. National Report of the European Union to the 2010 SPRFMO Science Working Group. Ninth Science Working Group of SPRFMO, 21–29 October 2010, Viña del Mar, Chile.
Cubillos, L. A., Paramo, J., Ruiz, P., Núñez, S., and Sepúlveda, A., 2008. The spatial structure of the oceanic spawning of jack mackerel (Trachurus murphyi) off central Chile (1998–2001). Fisheries Research, 90: 261–270.
Damalas, D., Megalofonou, P., and Apostolopoulou, M., 2007. Environmental, spatial, temporal and operational effects on swordfish (Xiphias gladius) catch rates of eastern Mediterranean Sea longline fisheries. Fisheries Research, 84: 233–246.
Elizarov, A. A., Grechina, A. S., Kotenev, B. N., and Kuzetsov, A. N., 1993. Peruvian jack mackerel, Trachurus symmetricus murphyi, in the open waters of the South Pacific. Journal of Ichthyology, 33: 86–104.
Elías, S. N., Ramírez, M. C., and Pastene, S. V., 2009. Environmental Variability of the Chilean Jack Mackerel Habitat in the Southeastern Pacific Ocean. Eighth Science Working Group of SPRFMO, 2–6 November 2009, Auckland, New Zealand.
Escribano, R., Daneri, G., Farías, L., Gallardo, V. A., González, H. E., Gutierrez, D., Lange, C., Morales, C. E., Pizarro, O., Ulloa, O., and Braun, M., 2004. Biological and chemical consequences of the 1997-1998 El Niño in the Chilean coastal upwelling system: a synthesis. Deep-Sea Research II, 51: 2389–2411.
Evseenko, S. A., 1987. Reproduction of the Peruvian jack mackerel, Trachurus symmetricus murphyi (Nichols) in the South Pacific Ocean. Journal of Ichthyology, 27: 151–160.
Hastie, T., Tibshirani, R., and Friedman, J., 2001. The Elements of Statistical Learning: Data Mining, Inference, and Prediction. Springer-Verlag, New York, 533pp.
Hilborn, R., and Walters, C. J., 2001. Quantitative Fisheries Stock Assessment Choice, Dynamics and Uncertainty. Kluwer Academic Publishers, Boston, 570pp.
Howell, E. A., and Kobayashi, D. R., 2006. El Niño effects in the Palmyra Atoll region: oceanographic changes and bigeye tuna (Thunnus obesus) catch rate variability. Fisheries Oceanography, 15: 477–489.
Huang, H. L., and Lin, L. S., 2005. Min-water trawl techniques for fishing Chilean jack mackerel in the southeastern Pacific Ocean. Journal of Fishery Sciences of China, 12: 99–103 (in Chinese with English abstract).
Guisan, A., Edwards Jr., T. C., and Hastie, T., 2002. Generalized linear and generalized additive models in studies of species distributions: setting the scene. Ecological Modelling, 157: 89–100.
Klyashtorin, L. B., 2001. Climate change and long-term fluctuations of commercial catches: the possibility of forecasting. FAO Fisheries Technical Paper, No. 410. Rome, FAO, 86pp.
Maunder, M. N., and Langley, A. D., 2004. Integrating the standardization of catch-per-unit-of-effort into stock assessment models: testing a population dynamics model and using multiple data types. Fisheries Research, 70: 389–395.
Maunder, M. N., and Punt, A. E., 2004. Standardizing catch and effort data: a review of recent approaches. Fisheries Research, 70: 141–159.
Maynou, F., Demestre, M., and Sánchez, P., 2003. Analysis of catch per unit effort by multivariate analysis and generalised linear models for deep-water crustacean fisheries off Barcelona (NW Mediterranean). Fisheries Research, 65: 257–269.
Miranda, L., Hernández, A., Sepúlveda, A., and Landaeta, M., 1998. Alimentación de jurel y análisis de la selectividad en la zona centro-sur de Chile. In: Biología y Ecología del Jurel en Aguas Chilenas. Arcos, D., ed., Instituto de Investigaciones Pesqueras S. A, Talcahuano, Chile, 173–187.
McCullough, P., and Nelder, J. A., 1989. Generalized Linear Models. 2nd edition. Chapman and Hall, New York, 532pp.
Nelder, J. A., and Wedderburn, R. W. M., 1972. Generalised linear models. Journal of the Royal Statistical Society A, 137: 370–384.
Nishida, T., and Chen, D. G., 2004. Incorporating spatial autocorrelation into the general linear model with an application to the yellowfin tuna (Thunnus albacares) longline CPUE data. Fisheries Research, 70: 265–274.
Salthaug, A., and Godo, O. R., 2001. Standardisation of commercial CPUE. Fisheries Research, 49: 271–281.
Sepúlveda, A., Alarcón, R., Núñez, S., Aguayo, M., Escobar, P., Vargas, R., Correa, M., and González, C., 2009. Evaluación directa del jurel con naves de la flota. Pre-Informe Final Proyecto FIP 2007-24.
Serra, J. R., 1991. Important life history aspects of the Chilean jack mackerel, Trachurus symmetricus murphyi. Investigacion Pesquera (Chile), 36: 67–83.
SPRFMO, 2009. Report of the Science Working Group. Eighth Science Working Group of SPRFMO, 2–6 November 2009, Auckland, New Zealand.
SPRFMO, 2010. Report of the Science Working Group. Ninth Science Working Group of SPRFMO, 21–29 October 2010, Viña del Mar, Chile.
SPRFMO, 2011. Report of the Jack Mackerel Subgroup. Tenth Science Working Group of SPRFMO, 19–23 September 2011, Port Vila, Vanuatu.
Su, N. J., Yeh, S. Z., Sun, C. L., Pount, A. E., Chen, Y., and Wang, S. P., 2008. Standardizing catch and effort data of the Taiwanese distant-water longline fishery in the western and central Pacific Ocean for bigeye tuna, Thunnus obesus. Fisheries Research, 90: 235–246.
Taylor, P. R., 2002. Stock structure and population biology of the Peruvian jack mackerel, Trachurus symmetricus murphyi. New Zealand Fisheries Assessment Report 2002/21.
Trenberth, K. E., 1997. The definition of El Niño. Bulletin of the American Meteorological Society, 78: 2771–2777.
Torres-Peña, J., Agostini, C., and Vergar, S., 2005. El Niño effects and biomass endogeneity in a harvest function. In: The Chilean Jack Mackerel Fishery, ILADES-Georgetown University Working Papers. Ilades-Georgetown University, Universidad Alberto Hurtado/School of Economics and Bussines. http://EconPapers.repec.org/RePEc:ila:ilades:inv160.
Venables, W. N., and Dichmont, C. M., 2004. GLMs, GAMs and GLMMs: an overview of theory for applications in fisheries research. Fisheries Research, 79: 319–337.
Yatsu, A., Watanabe, T., Ishida, M., Sugisaki, H., and Jacobson, L. D., 2005. Environmental effects on recruitment and productivity of Japanese sardine Sardinops melanostictus and chub mackerel Scomber japonicus with recommendations for management. Fisheries Oceanography, 14: 263–278.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Li, G., Zou, X., Chen, X. et al. Standardization of CPUE for Chilean jack mackerel (Trachurus murphyi) from Chinese trawl fleets in the high seas of the Southeast Pacific Ocean. J. Ocean Univ. China 12, 441–451 (2013). https://doi.org/10.1007/s11802-013-1987-1
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11802-013-1987-1