Scientia Marina, Vol 78, No 1 (2014)

CPUE trends of Hilsa kelee and Thryssa vitrirostris exploited by the artisanal finfish fisheries in Mozambique derived from an on-shore sampling of catches by trip


https://doi.org/10.3989/scimar.03826.06C

Massimiliano Cardinale
Swedish University of Agricultural Sciences, Department of Aquatic Resources , Sweden

Osvaldo Chacate
National Fisheries Research Institute , Mozambique

Michele Casini
Swedish University of Agricultural Sciences, Department of Aquatic Resources , Sweden

Isabel Chaúca
National Fisheries Research Institute , Mozambique

Jon Helge Vølstad
Institute of Marine Research , Norway

Abstract


Artisanal fisheries are often overlooked by fisheries management agencies despite their great importance for food security and livelihoods. The assessment and management of those fisheries is often rare, especially in developing countries. In Mozambique, a probability-based survey for the monitoring of the small-scale fisheries has been conducted in several coastal provinces since the late 1990’s. Here we used the Mozambican on-shore data collection programme to illustrate both the difficulties and possibilities of estimating trends in catch per unit of effort (CPUE in kg day–1) for stocks when data is limited in both quantity and quality, as is often the case for artisanal fisheries. Data on catch and effort collected between 1998 and 2009 from four regions along the Mozambican coast and two different gears were used to assess the status of two species (Hilsa kelee and Thryssa vitrirostris) exploited by the artisanal fisheries. The results showed that standardized CPUE have declined for some of the regions and gears analysed, whereas for others the trend has been stable or has even increased during the last 12 years. However, when CPUE is scaled for the increase in net length, most of the times series show a declining trend.

Keywords


artisanal fisheries; Mozambique; CPUE

Full Text:


HTML PDF XML

References


Allison E., Ellis F. 2001. The livelihood approach and management of small scale fisheries. Mar. Pol. 25: 377-388. http://dx.doi.org/10.1016/S0308-597X(01)00023-9

Berkes F., Mahon R., McConney P., Pollnac R., Pomeroy R. 2001. Managing small-scale fisheries. IDRC, Toronto.

Cardinale M. 2011. Fishery reform: many stocks secure. Nature 476: 282. http://dx.doi.org/10.1038/476282a PMid:21850089

Cardinale M., Nugroho D., Hernroth L. 2009. Reconstructing historical trend in abundance of small pelagic fish species in the Java Sea using standardized commercial trip based catch per unit of effort. Fish. Res. 99: 151-158. http://dx.doi.org/10.1016/j.fishres.2009.05.015

Cardinale M., Doerner H., Abella A., Andersen J., Casey J., Döring R., Kirkegaard E., Motova A., Anderson J., Simmonds E. et al. 2013. Rebuilding EU fish stocks and fisheries, a process under way? Mar. Pol. 39: 43-52. http://dx.doi.org/10.1016/j.marpol.2012.10.002

Cleveland W.S. 1993. Visualizing data. Hobart Press, Summit, NJ. Davies T.E., Beanjara, N., and Tregenza, T., 2009. A socio-economic perspective on gear based management in an artisanal fisheries in south west Madagascar. Fisheries Management and Ecology, 16: 279-289.

FAO 2004. The state of the world fisheries and aquaculture 2004. Food and agriculture organization of the United Nations, Rome.

FAO 2005a. Increasing the contribution of small scale fisheries to poverty alleviation and food security. FAO Technical Guidelines for Responsible Fisheries. No. 10. FAO Rome, 79 pp.

FAO 2005b. Report of the FAO/WorldFish center workshop on interdisciplinary approaches to the assessment of small scale fisheries. FAO Fisheries Report, No 787. FAO Rome, 44 p.

Hardt M.J. 2009. Lessons from the past: the collapse of Jamaican coral reefs. Fish and Fisheries, 10: 143-158. http://dx.doi.org/10.1111/j.1467-2979.2008.00308.x

Hastie T., Tibshirani R. 1990. Generalized additive models. London, Chapman and Hall. PMCid:PMC332745

Hutchings J.A., Reynolds J.D. 2004. Marine fish population collapses: consequences for recovery and extinction risk. Bioscience 54: 297-309. http://dx.doi.org/10.1641/0006-3568(2004)054[0297:MFPCCF]2.0.CO;2

ICES 2010. Report of the Joint ICES-STECF Workshop on methods for merging metiers for fishery based sampling (WKMERGE). ICES CM 2010/ACOM:40, 94 pp.

ICES 2013. Report of the second Workshop on Practical Implementation of Statistical Sound Catch Sampling Programmes, 6-9 November 2012, ICES Copenhagen. ICES CM 2012/ACOM:54, 71 pp.

IDPPE 2004. Censo Nacional da Pesca Artesanal, 2002 [2002 National census of the artisanal fishery]. Maputo, Mozambique, 44 pp.

IDPPE 2009. Recenseamento da Pesca Artesanal, 2007. Principais Resultados. Instituto National de Desenvolvimento da Pesca de Pequena Escala. Maputo, 83 pp.

IIP 2007. Relatório Anual 2007. Instituto Nacional de Investigação Pesqueira, 65 pp.

Kolding J., Ticheler H., Chanda, B. 2003. The Bangweulu Swamp Fisheries, in management, co-management or no-management? Major dilemmas in southern African freshwater fisheries. In: Jul-Larsen E., Kolding J., Overå R., Raakjær Nielsen J., van Zwieten P.A.M. (eds), FAO Fisheries Technical Paper 426/2. Rome, FAO.

Loureiro N. 2001. Pescaria da Magumba da Baía de Maputo. In Instituto Nacional de Investigação Pesqueira (eds). Boletim de divulgação No 34. Seminário sobre as Pescarias da Baía de Maputo, pp 34.

Minami M., Lennert-Cody C.E., Gao W., Roman-Verdesoto, M. 2007. Modelling shark by-catch: the zero-inflated negative regression model with smoothing. Fish. Res. 84: 210-221. http://dx.doi.org/10.1016/j.fishres.2006.10.019

Mualeque D., Santos, J. 2011. Biology, fisheries and distribution of Thryssa vitrirostris (Gilchrist & Thompson 1908) and other Engraulidae along the coast of the Sofala Bank, western Indian Ocean. Afr. J. Mar. Sci. 33(1): 127-137. http://dx.doi.org/10.2989/1814232X.2011.575108

Munro J.L. 1983. A cost-effective data acquisition system for assessment and management of tropical multi-species, multigear fisheries. Fishbyte 1: 7-11.

Obura D., Suleiman M., Motta H., Schleyer, M. 2002. Status of coral reefs in Eastern Africa: Kenya, Tanzania, Mozambique And South Africa. In: Willinson, C. (ed.), Status of Coral Reefs of the World. Australian Institute of Marine Science.

Onyango P., Jentoft S. 2010. Assessing poverty in small scale fisheries in Lake Victoria, Tanzania. Fish and Fisheries, 11: 250-263. http://dx.doi.org/10.1111/j.1467-2979.2010.00378.x

Pauly D., Mines, A.N. 1982. Small-scale fisheries of San Miguel Bay, Philippines: biology and stock assessment. ICLARM Technical Report 7, 124 pp.

Pereira M., Gonçalves P.M.B. 2004. Effects of the 2000 southern Mozambique floods on a marginal coral community: the case at Xai-Xai. Afr. J. Aquat. Sci. 29:113-116. http://dx.doi.org/10.2989/16085910409503800

Pomeroy R., Nguyen K.A.T., Thong H.X. 2009. Small-scale marine fisheries policy in Vietnam. Mar. Pol. 33: 419-428. http://dx.doi.org/10.1016/j.marpol.2008.10.001

Salas S., Chuenpagdee R., Seijo J.C., Charles A. 2007. Challenges in the assessment and management of small scale fisheries in Latin America and the Caribbean. Fish. Res. 87: 5-16. http://dx.doi.org/10.1016/j.fishres.2007.06.015

Scientific, Technical and Economic Committee for Fisheries (STECF) – Report of the Assessment of Mediterranean Sea stocks – (STECF 13-09) part I, (eds Cardinale M. (Chairman) Osio C. & Charef A.). 2013. Publications Office of the European Union, Luxembourg.

Vincent A.C.J, Meeuwig J.J., Pajaro M.G., Perante N.C. 2007. Characterizing a small scale, data-poor, artisanal fisheries: Seahorses in the central Philippines. Fish. Res. 86: 207-215. http://dx.doi.org/10.1016/j.fishres.2007.06.006

Wood S.N. 2001. mgcv: GAMs and Generalized Ridge Regression for R. R News 1/2: 20-25.

Wood S.N. 2004. Stable and efficient multiple smoothing parameter estimation for generalized additive models. J. Amer. Statist. Assoc. 99: 673-686. http://dx.doi.org/10.1198/016214504000000980

Wood S.N. 2006. Generalized Additive Models: An Introduction with R. Chapman and Hall/CRC.

Xiao Y.S. 1998. Two simple approaches to use of production models in fish stock assessment. Fish. Res. 34: 77-86. http://dx.doi.org/10.1016/S0165-7836(97)00064-7




Copyright (c) 2014 Consejo Superior de Investigaciones Científicas (CSIC)

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.


Contact us scimar@icm.csic.es

Technical support soporte.tecnico.revistas@csic.es