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| Drouineau, Hilaire; Mahevas, Stephanie; Pelletier, Dominique; Beliaeff, Benoit. |
| In this paper, we present an approach to compare the impact of different management options oil the dynamics of a mixed fishery. We used ISIS-Fish, a simulation tool aimed at evaluating the impact of spatial and seasonal management measures on the dynamics of mixed fisheries. The French Nephrops norvegicus (Norway lobster) Merluccius merluccius (hake) mixed fishery of the Bay of Biscay was chosen as a Study case. First, we parameterised the Population and exploitation models. We then selected several management measures, including marine protected fishermen's reaction to each measure. Then, a sensitivity analysis (MPAs) and total allowable catches (TAC), and parameterised fish sensitivity analysis was performed according to a fractional factorial... |
| Tipo: Text |
Palavras-chave: Simulation design; Sensitivity analysis; Management measures; Spatial model; Fisheries dynamics. |
| Ano: 2006 |
URL: http://archimer.ifremer.fr/doc/2006/publication-1340.pdf |
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| Pelletier, Dominique; Mahevas, Stephanie; Drouineau, Hilaire; Vermard, Youen; Thebaud, Olivier; Guyader, Olivier; Poussind, Benjamin. |
| In order to provide reliable scientific advice and support for fisheries management, it is necessary to evaluate the biological and economic sustainability of complex fisheries, such as multi-species multi-fleet fisheries. Existing policy-screening modelling tools are not fully suitable in this purpose due to either an over-simplified description of population dynamics, or due to the lack of consideration of economic aspects. In this paper, we present a package that enables quantitative bioeconomic assessment of management scenarios. Population dynamics is described through spatially- and seasonally-explicit models. Exploitation dynamics is characterized by several fishing activities with specific spatial and seasonal features, and practiced by several... |
| Tipo: Text |
Palavras-chave: Policy screening; Natural resource management; Fisheries dynamics; Bioeconomic model; Population dynamics; Complex systems; Simulation tool. |
| Ano: 2009 |
URL: http://archimer.ifremer.fr/doc/2009/publication-6782.pdf |
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| Holley, Jean-francois; Marchal, Paul. |
| A typology is presented for the French offshore fleet fishing in the North Atlantic. The investigation was carried out separately for all years between 1985 and 2002. Two methods were combined: PCA and cluster analysis. In 1985, most vessels targeted saithe off western Scotland (vessels from Lorient) and in the northern North Sea (vessels from Boulogne and Fecamp). Then, probably because of the decline in biomass of saithe, some vessels started to target deepwater species from the early 1990s. In 2002, some vessels fished exclusively for saithe (>80%), while others targeted mainly deepwater species. In all, 12 fisheries are identified for the period 1985-2002. Results are given of a preliminary investigation trying to identify the external factors... |
| Tipo: Text |
Palavras-chave: Saithe; Multivariate analyses; Mixed fisheries; Fishing strategy; Fisheries dynamics; Deepwater species. |
| Ano: 2004 |
URL: http://archimer.ifremer.fr/doc/2004/publication-384.pdf |
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| Mahevas, Stephanie; Pelletier, Dominique. |
| Assessing the impact of management scenarii on multi-species multi-fleet fisheries requires spatially and seasonally explicit simulation tools. No such tools are currently available in fisheries science. This paper presents a software that evaluates the impact of management measures on the dynamics of a complex fishery. The simulation model is generic in order to be used for different types of fisheries. Existing knowledge about each fishery is stored in a database included in the software, and may be easily modified. This includes the parameters describing each population and each fishing activity. Furthermore, the software allows for flexibility in several model assumptions. Both management measures and behaviour of fishermen in reaction to these... |
| Tipo: Text |
Palavras-chave: Management measures; Fisheries dynamics; Complex systems; Spatial; Integration of knowledge; Simulation tool. |
| Ano: 2004 |
URL: http://archimer.ifremer.fr/doc/2004/publication-1133.pdf |
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