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Comportement de pêche et gestion : l’exemple de la pêcherie pélagique du Golfe de Gascogne, Fishing behaviour and management : the Bay of Biscay pelagic fishery
| Content Provider | Semantic Scholar |
|---|---|
| Author | Vermard, Youen |
| Copyright Year | 2009 |
| Abstract | In the current context of fisheries management, simulation models are required to support the evaluation of management scenarios. These models should include the key processes of the fishery system: stock dynamics, fleet dynamics, manager decision-making, and the interactions between these three elements. Most of the existing models have concentrated on the modeling of biological processes, population dynamics, and ecosystem interactions. However, a number of fisheries management failures could have resulted from a misunderstanding of fishers behavior rather than from limited knowledge of the status of fishery resources. It has for example been showed that in an exploited system, fishers’ spatial behavior influences the predicted outcomes of management policies, just as importantly as biological and ecological factors. The objective of the work is to describe and model fishers behavior in order to be able to take it into account while evaluating management measures. Fishing behavior can be described at three different scales. Short term behavior describes how fishermen behave during a fishing trip. Mid term behavior describes how they allocate their fishing effort among available metiers and fishing areas. And long term behavior describes how fishing capacity evolutes over the years. The present PhD focused on short and mid-term behavior. We first modeled fisher’s short term behavior. Short term behavior describes how fishers are allocating their effort among the fishing trip. Effort can be divided into Steaming, fishing or stopping. We proposed a Bayesian Hidden Markov Modeling (HMM) framework to analyze VMS data and identify states (Steaming/Fishing or Stopping) from position (Longitude/Latitude) of the boats during the fishing trip. A RUM (Random Utility Model) was then developed to describe and predict effort allocation over metiers for the pelagic trawlers targeting anchovy in the Bay of Biscay... |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://archimer.ifremer.fr/doc/00001/11256/7799.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
