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Garcia, Dorleta; Urtizberea, Agurtzane; Diez, Guzman; Gil, Juan; Marchal, Paul. |
Deepwater fish are characterized by long lifespans, late maturity and low productivity. This implies slow recovery from low biomass levels and it is, therefore, important to manage these stocks correctly to avoid overfishing. However, these stocks are generally data poor, which it makes difficult to apply quantitative assessment models on which to base their management. The management strategy evaluation (MSE) approach consists in evaluating the performance of management strategies by simulation before their implementation. In the evaluation, the main sources of uncertainty in a fishery system and its management process should be taken into account in order to find robust management strategies. Thus, the MSE approach is relevant to the management of... |
Tipo: Text |
Palavras-chave: Bio-economic modelling; Deep-sea fisheries; Harvest control rules; Management strategy evaluation; Norway; Bay of Biscay; Gibraltar; Atlantic Ocean. |
Ano: 2013 |
URL: http://archimer.ifremer.fr/doc/00176/28760/27231.pdf |
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Lorance, Pascal; Agnarsson, Sveinn; Damalas, Dimitrios; Des Clers, Sophie; Figueiredo, Ivone; Gil, Juan; Trenkel, Verena. |
Stakeholder knowledge was collected through questionnaires and cognitive maps and used to summarize biological, environmental, technical, management, and socio-economic factors for several deep-water fisheries, identifying regional management issues and solutions. The questionnaires and cognitive maps revealed different technical, environmental, and management concerns in these fisheries. Dissatisfaction with management was more at an implementation than a conceptual level, because the existing management measures were mostly considered fit for purpose. Further, catch-and-effort data provided by the fishing industry were used to calculate standardized landings per unit effort. The results suggested different trends over time for three deep-water stocks... |
Tipo: Text |
Palavras-chave: Closure; Control; Cpue; Regulation; SWOT; TAC; Technical measures. |
Ano: 2011 |
URL: http://archimer.ifremer.fr/doc/00043/15420/13376.pdf |
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