How to assign a catch value to fishing grounds when fisheries statistics are not spatially explicit

Authors

  • Pablo Pita Grupo de Recursos Marinos y Pesquerías. Universidad de A Coruña
  • Juan Freire Grupo de Recursos Marinos y Pesquerías. Universidad de A Coruña
  • Antonio García-Allut Grupo de Recursos Marinos y Pesquerías. Universidad de A Coruña

DOI:

https://doi.org/10.3989/scimar.2008.72n4693

Keywords:

coastal waters, economic valuation, fisheries statistics, fishery management, spatial allocation

Abstract


Fishery statistics do not usually include small-scale spatial references to assess the effects of natural or human disturbances. We present a methodology which assigns a geographical origin to the catches and assesses the total revenue of the fishing grounds. Market statistics are combined with the results of an ethnographic survey to provide a spatial allocation of the fishing effort. In the present case study, which corresponds to the Galician coast (NW Spain), 253 vessels from 14 base ports that fish in 80 fishing grounds were identified. The annual total revenue of the catches was 8.28 M€ and ranged from a minimum of 4928 € to a maximum of 0.60 M€ with a mean value per fishing ground of 0.104 M€.

Downloads

Download data is not yet available.

References

Ahrens, R. and C. Walters. – 2005. Why are there still large pelagic predators in the oceans? Evidence of severe hyper-depletion in long line catch-per-effort. First meeting of the Western and Central Pacific Fish. Comm., Noumea, New Caledonia, 1: 1-13.

European Commission. – 2003. Commission Regulation (EC) No 2244/2003 of 18 December 2003 laying down detailed provisions regarding satellite-based Vessel Monitoring Systems. Official J. EU, L333: 17-27.

Costanza, R., R. D’Arge, R. De Groot, S. Farber, M. Grasso, B. Hannon, K. Limburg, S. Naeem, R.V. O’Neill, J. Paruelo, R.G. Raskin, P. Sutton and M. Van den Belt. – 1997. The value of the world’s ecosystem services and natural capital. Nature, 387: 253 doi:10.1038/387253a0

Freire, J. and A. García-Allut. – 2000. Socioeconomic and biological causes of management failures in European artisanal fisheries: the case of Galicia (NW Spain). Marine Policy, 24: 375-384. doi:10.1016/S0308-597X(00)00013-0

Hampton, J., J.R. Sibert, P. Kleiber, M.N. Maunder and S.J. Harley.– 2005. Decline of Pacific tuna populations exaggerated? Nature, 434 (7037): E1-E2. doi:10.1038/nature03581 PMid:15858533

Harley, S.J., R.A. Myers and A. Dunn. – 2001. Is catch-per-uniteffort proportional to abundance? Can. J. Fish. Aquat. Sci., 58: 1760-1772. doi:10.1139/cjfas-58-9-1760

Jackson, J.B.C. – 2001. What was natural in the coastal oceans? Proc. Nat. Acad. USA, 98: 5411-5418.

Richards, L.J. and J.T. Schnute. – 1986. An experimental and statistical approach to the question: Is CPUE an index of abundance? Can. J. Fish. Aquat. Sci., 43: 1214-1227.

Vitousek, P.M., H.A. Mooney, J. Lubchenco and J.M. Melillo.– 1997. Human Domination of Earth’s Ecosystems. Science, 277: 445-608. doi:10.1126/science.277.5325.494

Walters, C. – 2003. Folly and fantasy in the analysis of spatial catch rate data. Can. J. Fish. Aquat. Sci., 60(12): 1433-1436. doi:10.1139/f03-152

Ward, J.M., J.E. Kirkley, R. Metzner and S. Pascoe. – 2004. Measuring and assessing capacity in fisheries. Basic concepts and management options. FAO Fish. Tech. Pap., 433: 40.

Watson, R., A. Kitchingman, A. Gelchu and D. Pauly. – 2004. Mapping global fisheries: sharpening our focus. Fish Fish., 5: 168-177 doi:10.1111/j.1467-2979.2004.00142.x

Downloads

Published

2008-12-30

How to Cite

1.
Pita P, Freire J, García-Allut A. How to assign a catch value to fishing grounds when fisheries statistics are not spatially explicit. scimar [Internet]. 2008Dec.30 [cited 2020Dec.1];72(4):693-9. Available from: http://scientiamarina.revistas.csic.es/index.php/scientiamarina/article/view/1027

Issue

Section

Articles