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Integration of fisheries into marine spatial planning: Quo vadis? ArchiMer
Janssen, Holger; Bastardie, Francois; Eero, Margit; Hamon, Katell; Hinrichsen, Hans-harald; Marchal, Paul; Nielsen, J. Rasmus; Le Pape, Olivier; Schulze, Torsten; Simons, Sarah; Teal, Lorna R.; Tidd, Alex.
The relationship between fisheries and marine spatial planning (MSP) is still widely unsettled. While several scientific studies highlight the strong relation between fisheries and MSP, as well as ways in which fisheries could be included in MSP, the actual integration of fisheries into MSP often fails. In this article, we review the state of the art and latest progress in research on various challenges in the integration of fisheries into MSP. The reviewed studies address a wide range of integration challenges, starting with techniques to analyse where fishermen actually fish, assessing the drivers for fishermen's behaviour, seasonal dynamics and long-term spatial changes of commercial fish species under various anthropogenic pressures along their...
Tipo: Text Palavras-chave: Fisheries; Marine space; Maritime spatial planning; MSP; Marine governance; EBM.
Ano: 2018 URL: http://archimer.ifremer.fr/doc/00364/47480/47500.pdf
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Predicting fisher response to competition for space and resources in a mixed demersal fishery ArchiMer
Girardin, Raphael; Vermard, Youen; Thebaud, Olivier; Tidd, Alex; Marchal, Paul.
Understanding and modelling fleet dynamics and their response to spatial constraints is a prerequisite to anticipating the performance of marine ecosystem management plans. A major challenge for fisheries managers is to be able to anticipate how fishing effort is re-allocated following any permanent or seasonal closure of fishing grounds, given the competition for space with other active maritime sectors. In this study, a Random Utility Model (RUM) was applied to determine how fishing effort is allocated spatially and temporally by the French demersal mixed fleet fishing in the Eastern English Channel. The explanatory variables chosen were past effort i.e. experience or habit, previous catch to represent previous success, % of area occupied by spatial...
Tipo: Text Palavras-chave: Effort allocation; Random Utility Model; Spatial competition; Demersal mixed fishery; Eastern English Channel; Spatial management.
Ano: 2015 URL: http://archimer.ifremer.fr/doc/00250/36153/37312.pdf
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How do demersal fishing fleets interact with aggregate extraction in a congested sea? ArchiMer
Marchal, Paul; Desprez, Michel; Vermard, Youen; Tidd, Alex.
The effects of the aggregate extraction intensity and the distance to extraction sites on the distribution of fishing effort were investigated for a broad selection of French and English demersal fleets operating in the Eastern English Channel. The most prominent result was that most fleets fishing near to aggregate extraction sites were not deterred by extraction activities. The fishing effort of dredgers and potters could be greater adjacent to marine aggregates sites than elsewhere, and also positively correlated to extraction intensity with a lag of 0–9 months. The distribution of fishing effort of French netters remained consistent over the study period. However, it is of note that the fishing effort of netters has increased substantially in the...
Tipo: Text Palavras-chave: Spatial management; Spatial planning; Demersal fisheries; Aggregate extraction; Eastern English Channel.
Ano: 2014 URL: http://archimer.ifremer.fr/doc/00206/31763/30651.pdf
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An investigation of human vs. technology-induced variation in catchability for a selection of European fishing fleets ArchiMer
Mahevas, Stephanie; Vermard, Youen; Hutton, Trevor; Iriondo, Ane; Jadaud, Angelique; Maravelias, Christos D.; Punzon, Antonio; Sacchi, Jacques; Tidd, Alex; Tsitsika, Efthymia; Marchal, Paul; Goascoz, Nicolas; Mortreux, Serge; Roos, David.
The impact of the fishing effort exerted by a vessel on a population depends on catchability, which depends on population accessibility and fishing power. The work investigated whether the variation in fishing power could be the result of the technical characteristics of a vessel and/or its gear or whether it is a reflection of inter-vessel differences not accounted for by the technical attributes. These inter-vessel differences could be indicative of a skipper/crew experience effect. To improve understanding of the relationships, landings per unit effort (lpue) from logbooks and technical information on vessels and gears (collected during interviews) were used to identify variables that explained variations in fishing power. The analysis was undertaken by...
Tipo: Text Palavras-chave: Catchability; Fishing power; GAM; GLM; Skipper skill; Technical characteristics.
Ano: 2011 URL: http://archimer.ifremer.fr/doc/00049/16043/15172.pdf
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Mechanisms of change in human behaviour ArchiMer
Marchal, Paul; Bartelings, Heleen; Bastardie, François; Batsleer, Jurgen; Delaney, Alyne; Girardin, Raphael; Gloaguen, Pierre; Hamon, Katell; Hoefnagel, Ellen; Jouanneau, Charlène; Mahevas, Stephanie; Nielsen, Rasmus; Piwowarczyk, Joanna; Poos, Jan-jaap; Schulze, Torsten; Rivot, Etienne; Simons, Sarah; Tidd, Alex; Vermard, Youen; Woillez, Mathieu.
The scope of this report is to present the science developed within the VECTORS project to improve the understanding of the key processes driving the behaviour of human agents utilising a variety of EU maritime domains. While particular attention has been paid to the spatial interactions between fishing activities and other human uses (e.g., maritime traffic, offshore wind parks, aggregate extractions), the behaviour of non-fishing sectors of activity has also been considered. Various quantitative and semi-qualitative approaches have been pursued to gain better insight into behavioural drivers based on past data, and also forecast how human agents would react if access was constrained by either management (e.g. Marine Protected Areas – MPA), or the...
Tipo: Text
Ano: 2014 URL: http://archimer.ifremer.fr/doc/00223/33377/31802.pdf
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Thirty years of fleet dynamics modelling using discrete-choice models: What have we learned? ArchiMer
Girardin, Raphael; Hamon, Katell; Pinnegar, John; Poos, Jan Jaap; Thebaud, Olivier; Tidd, Alex; Vermard, Youen; Marchal, Paul.
Anticipating fisher behaviour is necessary for successful fisheries management. Of the different concepts that have been developed to understand individual fisher behaviour, random utility models (RUMs) have attracted considerable attention in the past three decades, and more particularly so since the 2000s. This study aimed at summarizing and analysing the information gathered from RUMs used during the last three decades around the globe. A methodology has been developed to standardize information across different studies and compare RUM results. The studies selected focused on fishing effort allocation. Six types of fisher behaviour drivers were considered: the presence of other vessels in the same fishing area, tradition, expected revenue, species...
Tipo: Text Palavras-chave: Fisher behaviour; Meta-analysis; Random utility model.
Ano: 2017 URL: https://archimer.ifremer.fr/doc/00357/46834/47127.pdf
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