Assessing the impact of artisanal and recreational fishing and protection on a white seabream (Diplodus sargus sargus) population in the north-western Mediterranean Sea, using a simulation model. Part 2: Sensitivity analysis and management measures

Hussein, Chirine; Verdoit‐Jarraya, Marion; Pastor, Jérémy; Ibrahim, Amir; Saragoni, Gilles; Pelletier, Dominique; Mahévas, Stéphanie; Lenfant, Philippe

doi:10.1016/j.fishres.2010.12.018

Cited by 13 publications

(26 citation statements)

References 27 publications

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“…A reserve effect reveals itself through an increase in (1) global species richness, (2) density, particularly that of species targeted by fishing (professional and recreational), and (3) frequency of large individuals compared to outside of the reserve (e.g. Alcala & Russ 1990, Francour 1994, Harmelin et al 1995, Vacchi et al 1998, Mosquera et al 2000, García-Charton et al 2004, Hussein et al 2011, Sahyoun et al 2013.…”

Section: Introductionmentioning

confidence: 99%

Video transects as a complement to underwater visual census to study reserve effect on fish assemblages

Prigent‐Tessier¹,

Pastor²,

Francour³

et al. 2013

Aquat. Biol.

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The present study focuses on the use of diver-operated video (DOV) as a tool to evaluate the impact of a marine reserve on a fish assemblage, in comparison to underwater visual census (UVC). Samplings were conducted in the vicinity of the marine protected area (MPA) Cerbère-Banyuls (northwestern Mediterranean Sea). Four sites, with different levels of protection, were sampled 4 times, at depths of 5 and 10 m, to study abundance, species richness, structure of fish assemblages and fish aggregation. Results obtained by DOV and UVC provided evidence of significant effects of protection on abundance, species richness and fish assemblages. However, detection of weaker reserve effects using DOV may be limited. Furthermore, certain species are difficult to identify by video (e.g. Symphodus spp.), but DOV may be useful when studying a target and/or easily identifiable species. Contrary to UVC, DOV data can be archived and used for further study. Results concerning fish aggregation within fish assemblages showed specific patterns. Sites outside the MPA were mainly characterized by the absence of fish or few fish aggregations, and sites inside were characterized by high fish density (i.e. dispersed or patched aggregations). Thus, the fish aggregation parameter measured using DOV is an interesting metric to quantify reserve effect. Consequently, although this technique is time-consuming to produce results, DOV presents great potential for estimating MPA effectiveness while allowing simultaneous work on several sites to limit temporal bias.

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Section: Introductionmentioning

confidence: 99%

Video transects as a complement to underwater visual census to study reserve effect on fish assemblages

Prigent‐Tessier¹,

Pastor²,

Francour³

et al. 2013

Aquat. Biol.

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“…These findings are consistent with earlier modelling studies (e.g., Pelletier and Magal 1996;Horwood et al 1998;Drouineau et al 2006;Dunlop et al 2009). In general, spawning MPAs were found to have limited effects (Grüss 2012), no positive effect (Hussein et al 2011) or negative effects (Edwards and Plaganyi 2011) on the SSB of temperate migratory fish populations, essentially due to fishing effort redistribution on juveniles. Furthermore, spawning MPAs did not produce fisheries benefits (Edwards and Plaganyi 2011;Hussein et al 2011;Grüss 2012).…”

Section: Targeted Mpas In Temperate Regionsmentioning

confidence: 88%

“…In general, spawning MPAs were found to have limited effects (Grüss 2012), no positive effect (Hussein et al 2011) or negative effects (Edwards and Plaganyi 2011) on the SSB of temperate migratory fish populations, essentially due to fishing effort redistribution on juveniles. Furthermore, spawning MPAs did not produce fisheries benefits (Edwards and Plaganyi 2011;Hussein et al 2011;Grüss 2012). Miethe et al (2011) also showed that spawning area closures do not affect fisheries-induced evolution in maturation size, because they create a stage-dependent mortality pattern favouring the catch of mature fishes migrating to spawning areas over immature fishes staying behind.…”

Section: Targeted Mpas In Temperate Regionsmentioning

confidence: 88%

“…During the last three-four years, five modelling studies examined the conservation and fisheries effects of targeted MPAs for temperate migratory fish populations (Edwards and Plaganyi 2011;Hussein et al 2011;Miethe et al 2011;Grüss 2012;Rijnsdorp et al 2012). Edwards and Plaganyi (2011) and Grüss (2012) devised age-structured, population models to investigate the long-term consequences of targeted marine reserves for South African hakes (the deep water Cape hake, Merluccius paradoxus, and the shallow-water Cape hake, Merluccius capensis), whose juveniles and young adults undergo ontogenetic migrations and whose spawning and nursery areas are both relatively extensive and partially overlap.…”

Section: Targeted Mpas In Temperate Regionsmentioning

confidence: 99%

“…The probability of an individual hake migrating from one area to another during one of the ontogenetic migration events was based on rules that are a function of local bathymetry and alongshore direction. Hussein et al (2011) used the ISIS-FISH model (Pelletier and Mahévas 2005;Pelletier et al 2009) to assess the consequences of seasonal no-take targeted MPAs versus non-spatial management measures (fishing effort reduction, increases in gillnet mesh size) for the biomass and fisheries yields of the overexploited white seabream (Diplodus sargus sargus) population of the French Catalan coast. This application of ISIS-FISH has a monthly time step and analyses the conservation and fisheries effects of management measures after 20 years of simulation.…”

Section: Targeted Mpas In Temperate Regionsmentioning

confidence: 99%

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Modelling the impacts of marine protected areas for mobile exploited fish populations and their fisheries: what we recently learnt and where we should be going

Grüss

2014

Aquat. Living Resour.

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-Marine protected areas (MPAs) are increasingly being considered and used for the management of fisheries targeting mobile fish populations. Here, the recent modelling literature on MPA effects for mobile fish populations and their fisheries is reviewed. Modelling studies conducted since 2011 have filled a considerable number of knowledge gaps on the impacts of MPAs for species exhibiting home-range behaviour, nomadic movements or behavioural polymorphism, and on the effects of "targeted MPAs", which aim to protect relatively small areas where migratory fishes spend an inordinate fraction of time or are highly vulnerable to fishing (e.g., nursery or spawning zones). Also, in recent years, two studies investigated the consequences of MPAs targeting highly migratory (tuna-like) fish populations for the first time in the history of MPA modelling. Recent modelling studies found that MPAs aimed at protecting mobile species may have positive conservation effects under a relatively wide range of situations, but may generate long-term fisheries benefits only under a very limited set of conditions. In particular, MPAs were not found to be beneficial for the fisheries targeting highly migratory populations. Strategies producing both conservation and fisheries benefits were identified, which depend on fish movement patterns and numerous aspects of fish life history and fisheries dynamics. However, in view of the diversity of fish movement patterns in MPA systems and current dynamics in resource management, it is clear that additional modelling work is needed to fully understand how protected areas affect mobile fish populations and their fisheries and to be able to implement pertinent MPAs. In particular, future modelling studies should systematically assess the effects of MPAs in relation to other management tools to find strategies that are most effective in meeting management objectives, and explore the impacts of "dynamic" MPAs that follow highly migratory fish populations in space and time.

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Robust combination of the Morris and Sobol methods in complex multidimensional models

García

Aróstegui

Prellezo

2019

Environmental Modelling & Software

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Assessing the impact of artisanal and recreational fishing and protection on a white seabream (Diplodus sargus sargus) population in the north-western Mediterranean Sea, using a simulation model. Part 2: Sensitivity analysis and management measures

Cited by 13 publications

References 27 publications

Video transects as a complement to underwater visual census to study reserve effect on fish assemblages

Video transects as a complement to underwater visual census to study reserve effect on fish assemblages

Modelling the impacts of marine protected areas for mobile exploited fish populations and their fisheries: what we recently learnt and where we should be going

Robust combination of the Morris and Sobol methods in complex multidimensional models

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