Long-term fishing impact on the Senegalese coastal demersal resources: diagnosing from stock assessment models

Ecosystem Approach to the management of fisheries and the marine environment in West African waters conference

Free Access

Issue		Aquat. Living Resour. Volume 31, 2018 Ecosystem Approach to the management of fisheries and the marine environment in West African waters conference


Article Number		8
Number of page(s)		13
DOI		https://doi.org/10.1051/alr/2017046
Published online		31 January 2018

Arrizabalaga H, Murua M, Majkowski J. 2012. Global status of tuna stocks: summary sheets. Rev Invest Mar 19: 645–676. [Google Scholar]
Ba K, Thiaw M, Lazar N, Sarr A, Brochier T, Ndiaye I, Faye A, Sadio O, Panfili J, Thiaw OT, Brehmer P. 2016. Resilience of Key Biological parameters of the Senegalese flat Sardinella to overfishing and climate change. PLoS ONE 11: e0156143. [Google Scholar]
Barry M, Laurans M, Thiao D, Gascuel D. 2002. Diagnostic de l'état d'exploitation de cinq espèces démersales côtières sénégalaises, in: Chavance et al. (Eds.), Pêcheries Maritimes, Écosystèmes et Sociétés En Afrique de l'Ouest: Un demi-siècle de changement. Edition Office des Communautés Européennes, Coll Rap de recherche halieutique ACP-UE n° 15, Luxembourg, pp. 183–194. [Google Scholar]
Belhabib D, Koutob V, Sall A, Lam VWY, Pauly D. 2014. Fisheries catch misreporting and its implications: the case of Senegal. Fish Res 151: 1–11. [CrossRef] [Google Scholar]
Bolker BM. 2008. Ecological models and data in R, Princeton University Press, USA. [Google Scholar]
Brooks SP, Gelman A. 1998. General methods for monitoring convergence of iterative simulations. J Comput Graph Stat 7: 434–455. [Google Scholar]
CECAF. 2012. Report of the FAO/CECAF Working Group on the Assessment of Demersal Resources–Subgroup North Banjul, the Gambia, 6–14 November 2007, 10/71. Banjul, The Gambia, Programme for the development of fisheries in the Eastern Central Atlantic, Fishery Committee for the Eastern Central Atlantic. [Google Scholar]
Chavance P, Bâ M, Gascuel D, Vakily JM, Pauly D. 2004. Pêcheries maritimes, écosystèmes & sociétés en Afrique de l'Ouest: Un demi-siècle de changement [Marine Fisheries, Ecosystems and Societies in West Africa: half a century of change], actes du symposium international, Dakar (Sénégal), 24–28 Juin 2002, Bruxelles, Office des publications officielles des Communautés européennes, XXXVI–532-XIV p., 6 pl. h.-t. coul., coll. Rapports de recherche halieutique A.C.P.-U.E., No. 15. [Google Scholar]
Christensen V, Amorim P, Diallo I, Diouf T, Guénette S, Heymans JJ, Samb B, Stobberup K, Vakily JM, Vasconcellos M. 2004. Trends in fish biomass off Northwest Africa, 1960–2000. Fish Cent Res Rep 12: 215–220. [Google Scholar]
Coll M, Shannon LJ, Kleisner KM, Juan-Jordá MJ, et al. 2016. Ecological indicators to capture the effects of fishing on biodiversity and conservation status of marine ecosystems. Ecol Ind 60: 947–962. [CrossRef] [Google Scholar]
Fall M. 2009. Pêcherie démersale côtière au Sénégal: essai de modélisation de la dynamique de l'exploitation des stocks, Doctorat de l'Université Montpellier 2, Montpellier, France. [Google Scholar]
Faure V, Inejih AC, Demarq H, Cury P. 2000. The importance of retention processes in upwelling areas for recruitment of Octopus vulgaris: the example of the Arguin Bank (Mauritania). Fish Oceanogr 9: 343–355. [CrossRef] [Google Scholar]
Fonteneau A, Gascuel D, Pallares P. 1998. Vingt-cinq ans d'évaluation des ressources thonières de l'Atlantique: quelques réflexions méthodologiques. Collect Vol Sci Pap Int Comm Conserv Atl Tunas 50: 523–562. [Google Scholar]
Fox WW. 1970. An exponential surplus-yield model for optimizing exploited fish populations. T Am Fish Soc 99: 80–88. [CrossRef] [Google Scholar]
Fox WW. 1975. Fitting the generalized stock production model by least-squares and equilibrium approximation. Fish Bull 73: 23–37. [Google Scholar]
Fulton EA, Link JS, Kaplan IC, Savina-Rolland M, Johnson P, Ainsworth C, Horne P, Gorton R, Gamble RJ, Smith ADM, Smith DC. 2011. Lessons in modelling and management of marine ecosystems: the Atlantis experience. Fish Fish 12: 171–188. [CrossRef] [Google Scholar]
Garcia S, Lhomme F, Chabanne J. 1979. La pêche démersale au Sénégal: historique et potentiel, in: Groupe de Travail Ad hoc sur les stocks cotiers de démersaux vivant entre le sud de la Mauritanie et le Libéria (Ed.), Rapport du groupe de travail Ad hoc sur les stocks démersaux vivant entre le sud de la Mauritanie et le Libéria, FAO, Rome, pp. 59–77. [Google Scholar]
Gascuel D. 2008. Dynamique des populations et gestion des stocks halieutiques, Support de cours, Agrocampus Ouest/Campus numérique ENVAM éd., Rennes, France, 125 p. [Google Scholar]
Gascuel D, Ménard F. 1997. Assessment of a multispecies fishery in Senegal, using production models and diversity indices. Aquat Living Resour 10: 281–288. [CrossRef] [EDP Sciences] [Google Scholar]
Gascuel D, Fonteneau A, Foucher E. 1993. Analyse de l’évolution des puissances de pêche par l’analyse des cohortes: application aux senneurs exploitant l’albacore (Thunnus albacares) dans l’Atlantique Est. Aquat Living Resour 6: 15–30. [CrossRef] [EDP Sciences] [Google Scholar]
Gascuel D, Barry M, Laurans M, Sidibé A, (eds). 2003. Evaluations des stocks démersaux en Afrique du Nord-Ouest, Travaux du monospécifiques” du projet SIAP, COPACE/PACE Serie, n 03/65, Rome, FAO, 108 p. [Google Scholar]
Gascuel D, Laurans M, Sidibé A, Barry MD. 2004. Diagnostic comparatif de l'état des stocks et évolutions d'abondance des ressources démersales dans les pays de la CSRP. In: Chavance P. et al (éds), Pêcheries Maritimes, Ecosystems et Sociétés En Afrique de l'Ouest: Un Demi-Siècle de Changement. Edition Office des Communautés Européennes, Coll Rap de recherche halieutique ACP-UE n 15, Luxembourg, pp. 205–222. [Google Scholar]
Gascuel D, Labrosse P, Meissa B, Taleb Sidi MO, Guénette S. 2007. Decline of demersal resources in North-West Africa: an analysis of Mauritanian trawl survey data over the last 25 years. Afr J Mar Sci 29: 331–345. [CrossRef] [Google Scholar]
Gascuel D, Coll M, Fox C, Guénette S, Guitton J, Kenny A, Knittweis L, Nielsen JR, Piet G, Raid T, Travers-Trolet M, Shephard S. 2014. Fishing impact and environmental status in European seas: a diagnosis from stock assessments and ecosystem indicators. Fish Fish 17: 31–55. [Google Scholar]
Gislason H, Rice J. 1998. Modelling the response of size and diversity spectra of fish assemblages to changes in exploitation. ICES J Mar Sci 55: 362–370. [CrossRef] [Google Scholar]
Harwood J, Stokes K. 2003. Coping with uncertainty in ecological advice: lessons from fisheries. Trends Ecol Evol 18: 617–622. [CrossRef] [Google Scholar]
Hilborn R. 2007. Managing fisheries is managing people: what has been learned? Fish Fish 8: 285–296. [CrossRef] [Google Scholar]
Hilborn R, Liermann M. 1998. Standing on the shoulders of giants: learning from experience in fisheries. Rev Fish Biol Fisher 8: 273–283. [CrossRef] [Google Scholar]
Hilborn R, Walters CJ. 1992. Quantitative fisheries stock assessment: choice, dynamics and uncertainty. Rev Fish Biol Fisher 2: 177–178. [CrossRef] [Google Scholar]
Jensen AL. 2005. Harvest in a fluctuating environment and conservative harvest for the Fox surplus production model. Ecol Model 182: 1–9. [CrossRef] [Google Scholar]
Laloë F, Samba A. 1991. A simulation model of artisanal fisheries of Senegal. ICES Mar Sci Symp 193: 281–286. [Google Scholar]
Laurans M. 2005. Ressources et exploitations “ démersales ” en Afrique de l'ouest: evaluation des stocks, dynamique des populations et approche écosystémique, Doctorat de l'École nationale supérieure agronomique de Rennes, 311 p. [Google Scholar]
Laurans M, Barry M, Gascuel D. 2003. Diagnostics de cinq stocks sénégalais par l'approche globale (Galeoides decadactylus, Pagellus bellottii, Pseudupeneus prayensis, Sparus caeruleostictus, Epinephelus aeneus), in : D. Gascuel, et al. (Ed.), Evaluations des stocks démersaux en Afrique du Nord-Ouest, travaux du groupe “Analyses mono-spécifiques” du projet SIAP. COPACE/PACE Series, Rome, FAO, 03/65, pp. 19–28. [Google Scholar]
Laurans M, Gascuel D, Chassot E, Thiam D. 2004. Changes in the trophic structure of fish demersal communities in West Africa in the three last decades. Aquat Living Resour 17: 163–173. [CrossRef] [EDP Sciences] [Google Scholar]
Laurent AG. 1963. The Lognormal distribution and the translation method: description and estimation problems. J Am Stat Assoc 58: 231–235. [CrossRef] [Google Scholar]
Legault CM. 2009. Report of the Retrospective Working Group, January 14–16, US Dept Commer, Northeast Fish Sci Cent. 09-01, Woods Hole, Massachusetts, 2008, 30 p. [Google Scholar]
Leslie HM, McLeod KL. 2007. Confronting the challenges of implementing marine ecosystem-based management. Front Ecol Environ 5: 540–548. [Google Scholar]
McAllister MK, Kirkwood GP. 1998. Bayesian stock assessment: a review and example application using the logistic model. ICES J Mar Sci 55: 1031–1060. [CrossRef] [Google Scholar]
McAllister MK, Pikitch EK, Babcock EA. 2001. Using demographic methods to construct Bayesian priors for the intrinsic rate of increase in the Schaefer model and implications for stock rebuilding. Can J Fish Aquat Sci 58: 1871–1890. [CrossRef] [Google Scholar]
Meissa B, Gascuel D. 2014. Overfishing of marine resources: some lessons from the assessment of demersal stocks off Mauritania. ICES J Mar Sci 72: 414–427. [Google Scholar]
Meissa B, Gascuel D, Rivot E. 2013. Assessing stocks in data-poor African fisheries: a case study on the white grouper Epinephelus aeneus of Mauritania. Afr J Mar Sci 35: 253–267. [CrossRef] [Google Scholar]
Meissa B, Fall M, Thiam N, Thiaw M, Ba K, Sarr JMA, Thiam M, Ngom F. 2016. Évaluation des principaux stocks demersaux exploités au Sénégal Programme Aménagement Durable des Pêches au Sénégal (ADUPES), note technique no 2, Centre de Recherches Océanographiques de Dakar-Thiaroye. [Google Scholar]
Meyer R, Millar RB. 1999. BUGS in Bayesian stock assessments. Can J Fish Aquat Sci 56: 1078–1087. [CrossRef] [Google Scholar]
Ono K, Punt AE, Rivot E. 2012. Model performance analysis for Bayesian biomass dynamics models using bias, precision and reliability metrics. Fish Res 125–126: 173–183. [CrossRef] [Google Scholar]
Parent E, Rivot E. 2012. Introduction to hierarchical Bayesian modeling for ecological data, CRC Press, Florida, USA. [Google Scholar]
Pella JJ, Tomlinson PK. 1969. A generalized stock production model. Inter-Am Trop Tuna Comm Bull 13: 416–497. [Google Scholar]
Punt AE. 2003. Extending production models to include process error in the population dynamics. Can J Fish Aquat Sci 60: 1217–1228. [CrossRef] [Google Scholar]
Punt AE, Hilborn R. 1997. Fisheries stock assessment and decision analysis: the Bayesian approach. Rev Fish Biol Fisher 7: 35–63. [CrossRef] [Google Scholar]
Robert M, Faraj A, McAllister MK, Rivot E. 2010. Bayesian state-space modelling of the De Lury depletion model: strengths and limitations of the method, and application to the Moroccan octopus fishery. ICES J Mar Sci 67: 1272–1290. [CrossRef] [Google Scholar]
Roy C, Cury P, Fréon P, Demarcq H. 2002. Environmental and resource variability off Northwest Africa and in the Gulf of Guinea: review, in: J.M. McGlade, P. Cury, K.A. Koranteng, N.J. Hardman-Mountford (Eds.), The Gulf of Guinea Large Marine Ecosystem: Environmental Forcing and Sustainable Development of Marine Resources, Elsevier, Amsterdam, pp. 121–139. [Google Scholar]
Schaefer MB. 1991. Some aspects of the dynamics of populations important to the management of the commercial marine fisheries. Bull Math Biol 53: 253–279. [CrossRef] [Google Scholar]
Stefánsson G. 1996. Analysis of groundfish survey abundance data: combining the GLM and delta approaches. ICES J Mar Sci 53: 577–588. [CrossRef] [Google Scholar]
Thiam N, Thiaw M, Fall M. 2014. Evaluation directe des stocks halieutiques démersaux côtiers dans la ZEE du Sénégal, Document no 1 du Programme Aménagement Durable des Pêches au Sénégal (ADUPES), Centre de Recherches Océanographiques de Dakar-Thiaroye. [Google Scholar]
Thiam N, Thiaw M, Fall M. 2016. Rapport de la campagne de chalutages démersaux côtiers, Document no 2 du Programme Aménagement Durable des Pêches au Sénégal (ADUPES), Centre de Recherches Océanographiques de Dakar-Thiaroye. [Google Scholar]
Thiao D, Chaboud C, Samba A, Laloë F, Cury P. 2012. Economic dimension of the collapse of the “false cod" Epinephelus aeneus in a context of ineffective management of the small-scale fisheries in Senegal, African J Marin Sci 34: 305–311. [CrossRef] [Google Scholar]
Thiaw M. 2010. Dynamique des ressources halieutiques à durée de vie courte: cas des stocks de pulpe et de crevettes exploités au Sénégal, Doctorat Agrocampus Ouest, Rennes, 215 p. [Google Scholar]
Thiaw M, Gascuel D, Jouffre D, Thiaw OT. 2009. A surplus production model including environmental effects: application to the Senegalese white shrimp stocks. Prog Oceanogr 83: 351–360. [CrossRef] [Google Scholar]
Thiaw M, Ba K, Fall M, Thiam N, Thiam M, Jouffre D. 2015. Evaluation des principaux stocks démersaux exploités au Sénégal, Programme Aménagement Durable des Pêches au Sénégal (ADUPES), note technique no 1, Centre de Recherches Océanographiques de Dakar-Thiaroye, Dakar, Sénégal, 35 p. [Google Scholar]
Walters C, Ludwig D. 1994. Calculation of bayes posterior probability distributions for key population parameters. Can J Fish Aquat Sci 51: 713–722. [CrossRef] [Google Scholar]
Yau AJY, Chang YJ, Brodziak J. 2014. Stock assessment of swordfish (Xiphias gladius) in the Eastern Pacific Ocean through2012, International Scientific Committee for Tuna and Tuna-like Species in the North Pacific Ocean, Billfish Working Group Workshop, 16–22 July 2014, Taipei, Chinese-Taipei, 86 p. [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.