Hostname: page-component-8448b6f56d-mp689 Total loading time: 0 Render date: 2024-04-24T03:20:43.897Z Has data issue: false hasContentIssue false
  • English
  • Français

The Spanish blackspot seabream (Pagellus bogaraveo) fishery in the Strait of Gibraltar: spatial distribution and fishing effort derived from a small-scale GPRS/GSM based fisheries vessel monitoring system

Published online by Cambridge University Press:  19 December 2013

Candelaria Burgos ,
Juan Gil  and
Luis Alberto del Olmo
Candelaria Burgos*
Affiliation:
Instituto Español de Oceanografía, C.O. de Cádiz, Muelle de Levante s/n, Puerto Pesquero, 11006 Cádiz, Spain
Juan Gil
Affiliation:
Instituto Español de Oceanografía, C.O. de Cádiz, Muelle de Levante s/n, Puerto Pesquero, 11006 Cádiz, Spain
Luis Alberto del Olmo
Affiliation:
Consejería de Agricultura y Pesca, Junta de Andalucía, C/ Tabladilla s/n, 41013 Sevilla, Spain
*
a Corresponding author: caleli.burgos@cd.ieo.es
Get access

Abstract

This paper aims to investigate the potential interest of using a Vessel Monitoring System (VMS) based on GPRS/GSM (Global System for Mobile Communications) technology to obtain a better estimation of fishing activity and distribution of a small-scale artisanal fleet, for which the European satellite-based system is not available. Since the early 1980s, the artisanal fishery targeting blackspot seabream (Pagellus bogaraveo), commonly known as “voraz”, has been developing along the Strait of Gibraltar area. Up to now the fishing effort was estimated using the number of sales, a proxy for the number of fishing days. This measure does not, however, capture the “missing effort”, i.e., fishing days resulting in no catch or not enough catch to be sold at public auction. The European satellite-based VMS provides information about the dynamics of different fishing fleets, but is not installed on small vessels (<15 m), such as those used by the artisanal “voracera” fleet targeting blackspot seabream in the Strait of Gibraltar. The Andalucía Regional Government installed its own vessel monitoring system on several artisanal fleets using GPRS/GSM cellular network technology that sends data on vessel positions and speed every three minutes. Data collected from 2009 to 2011 using this system were filtered and analysed to estimate fishing effort, catch rates and the spatial distribution of the blackspot seabream fishery. The estimates obtained seem to provide a good representation of fishery reality. As expected, the missing effort increases as the resource levels decrease. Additionally, expert knowledge of the fishery allowed application of an algorithm for splitting these daily trips into estimated fishing hauls. Afterwards the spatial distribution of catches and Catch per Unit Effort (CPUE) could be obtained linking VMS locations with landings information. This study provides a considerably finer spatial scale view of the fishery than data available in the past.

Keywords

Fishing effortSpatial distributionVMSArtisanal fisheryPagellus bogaraveoStrait of Gibraltar
Type
Research Article
Information
Aquatic Living Resources , Volume 26 , Issue 4 , October 2013 , pp. 399 - 407
Copyright
© EDP Sciences, IFREMER, IRD 2013

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

Anonymous, 2010, DEEPFISHMAN A FP7 Project.
Castilla Espino, D., García del Hoyo, J.J., 2006, Medición de la capacidad de pesca de la flota de voraz del Estrecho de Gibraltar: enfoques paramétricos y no paramétricos. Estud. Agrosoc. Pesq. 210, 115–154. Google Scholar
CEC, 2007, European Parliament legislative resolution of 11 December 2007 on the Council common position for adopting a directive of the European Parliament and of the Council establishing a Framework for Community Action in the field of Marine Environmental Policy.
Davies, T.D., Jonsen, I.D., 2011, Identifying non proportionality of fishery-independent survey data to estimate population trends and assess recovery potential for cusk (Brosme brosme). Can. J. Fish. Aquat. Sci. 68, 413–425. Google Scholar
Del Olmo, L.A., 2006, Localización y seguimiento de Embarcaciones pesqueras andaluzas. Agromar Andalucía – Revista de Información de la Consejería de Agricultura y Pesca de Andalucía 37, 30–37 Google Scholar
Deng, R., Dichmont, C., Milton, D., Haywood, M., Vance, D., Hall, N., Die, D., 2005, Can vessel monitoring system data also be used to study trawling intensity and population depletion? The example of Australia’s northern prawn fishery. Can. J. Fish. Aquat. Sci. 62, 611–622. CrossRefGoogle Scholar
Die, D., Ellis, N., 1999, Aggregation dynamics in penaeid fisheries: banana prawns (Penaeus merguiensis) in the Australian Northern Prawn Fishery. Mar. Freshw. Res. 50, 667–675. CrossRefGoogle Scholar
Dinmore, T.A., Duplisea, D.E., Rackham, B.D., Maxwell, D.L., Jennings, S., 2003, Impact of a large-scale area closure on patterns of fishing disturbance and the consequences for benthic production. ICES J. Mar. Sci. 60, 371–380. CrossRefGoogle Scholar
Diputación Provincial de Cádiz, 1991, El Sector Pesquero en la Provincia de Cádiz. Excma. Diputación de Cádiz.
Espino, D.C., del Hoyo, J.J.G., Sharp, B.M.H., 2005, Capacity and capacity utilization of the “voracera" fleet in the Strait of Gibraltar. Mar. Resour. Econ. 20, 367–384. CrossRefGoogle Scholar
Fock, H., 2008, Fisheries in the context of marine spatial planning: defining principal areas for fisheries in the German EEZ. Mar. Policy 32, 728–739. CrossRefGoogle Scholar
Gerritsen, H., Lordan, C., 2011, Integrating vessel monitoring systems (VMS) data with daily catch data from logbooks to explore the spatial distribution of catch and effort at high resolution. ICES J. Mar. Sci. 68, 245–252. CrossRefGoogle Scholar
Gil J., 2006, Biología y pesca del voraz [Pagellus bogaraveo (Brünnich, 1768)] en el Estrecho de Gibraltar. Tesis doctoral. Facultad de Ciencias del Mar Y Ambientales. Universidad de Cádiz.
Gil J., Sobrino I., 2006, La pesquería del voraz en el estrecho de Gibraltar. In: Acuicultura, pesca y marisqueo en el Golfo de Cádiz. Consejería de Agricultura y Pesca. Junta de Andalucía. CD ROM.
Hilborn R., Walters C.J. (Eds.), 1992, Quantitative fisheries stock assessment: choice, dynamics and uncertainty. Chapman and Hall, London.
Hintzen, N.T., Piet, G.J., Brunel, T., 2010, Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fish. Res. 101, 108–115. CrossRefGoogle Scholar
ICES, 2012a, Report of the Working Group on the Biology and Assessment of Deep-sea Fisheries Resources (WGDEEP), Copenhagen, 28 March–5 April, Denmark. ICES CM 2012/ACOM: 17, 929 pp.
ICES, 2012b, ICES implementation of Advice for Data-limited stocks in 2012 in its 2012 advice. ICES CM 2012/ACOM: 68, 28 pp.
Jennings, S., Lee, J., 2012, Defining fishing grounds with vessel monitoring system data. ICES J. Mar. Sci. 69, 51–63. CrossRefGoogle Scholar
Lambert, G.I., Jennings, S., Hiddink, J.G., Hintzen, N.T., Hinz, H., Kaiser, M.J., Murray, L.G., 2012, Implications of using alternative methods of vessel monitoring system (VMS) data analysis to describe fishing activities and impacts. ICES J. Mar. Sci. 69, 682–693. CrossRefGoogle Scholar
Lee, J., South, A.B., Jennings, S., 2010, Developing reliable, repeatable, and accessible methods to provide high-resolution estimates of fishing-effort distributions from vessel monitoring system (VMS) data. ICES J. Mar. Sci. 67, 1260–1271. CrossRefGoogle Scholar
Lorance, P., 2011, History and dynamics of the overexploitation of the blackspot seabream (Pagellus bogaraveo) in the Bay of Biscay. ICES J. Mar. Sci. 68, 290–301. CrossRefGoogle Scholar
Lorance, P., Pawlowski, L., Trenkel, V.M., 2010, Standardizing blue ling landings per unit effort from industry haul-by-haul data using generalized additive models. ICES J. Mar. Sci. 67, 1650–1658. CrossRefGoogle Scholar
Matthews, K.B., Rivington, M., Blackstock, K., McCrum, G., Buchan, K., Miller, D.G., 2011, Raising the bar? – the challenges of evaluating the outcomes of environmental modelling and software. Environ. Model. Software 26, 247–257. CrossRefGoogle Scholar
Mullowney, D.R., Dawe, E.G., 2009, Development of performance indices for the Newfoundland and Labrador snow crab (Chionoecetes opilio) fishery using data from a vessel monitoring system. Fish. Res. 100, 248–254. CrossRefGoogle Scholar
Murawski, S.A., Wigley, S.E., Fogarty, M.J., Rago, P.J., Mountain, D.G., 2005, Effort distribution and catch patterns adjacent to temperate MPAs. ICES J. Mar. Sci. 62, 1150–1167. Google Scholar
Padillo J., Carrera J.J., Diputación Provincial de Cádiz, 2001, Las artes de pesca en el Litoral gaditano. Diputación Provincial de Cádiz.
Pedersen, S.A., Fock, H., Krause, J., Pusch, C., Sell, A.L., Böttcher, U., Rogers, S.I., 2009, Natura 2000 sites and fisheries in German offshore waters. ICES J. Mar. Sci. 66, 155–169. CrossRefGoogle Scholar
Piet, G.J., Hintzen, N.T., 2012, Indicators of fishing pressure and seafloor integrity. ICES J. Mar. Sci. 69, 1850–1858. CrossRefGoogle Scholar
Roa-Ureta, R.H., 2012, Modelling in-season pulses of recruitment and hyperstability-hyperdepletion in the Loligo gahi fishery around the Falkland Islands with generalized depletion models. ICES J. Mar. Sci. 69, 1403–1415. CrossRefGoogle Scholar
Rice, J., Arvanitidis, C., Borja, A., Frid, C., Hiddink, J.G., Krause, J., Lorance, P., Ragnarsson, S.A., Skold, M., Trabucco, B., Enserink, L., Norkko, A., 2012, Indicators for Sea-floor Integrity under the European Marine Strategy Framework Directive. Ecol. Ind. 12, 174–184. CrossRefGoogle Scholar
Silva, L., Gil, J., Sobrino, I., 2002, Definition of fleet components in the Spanish artisanal fisheries of the Gulf of Cádiz (SW Spain, ICES Division IXa). Fish. Res. 59, 117–128. CrossRefGoogle Scholar
Stelzenmüller, V., Rogers, S.I., Mills, C.M., 2008, Spatio-temporal patterns of fishing pressure on UK marine landscapes, and their implications for spatial planning and management. ICES J. Mar. Sci. 65, 1081–1091. CrossRefGoogle Scholar
Witt M.J., Godley B.J., 2007, A step towards seascape conservation: using vessel monitoring systems (VMS) to map fishing activity. PLoS One 2: e1111. DOI:10.1371/journal.pone.0001111. CrossRef