Models and indicators for assessing conservation and fisheries-related effects of marine protected areas

Pelletier, Dominique; Claudet, Joachim; Ferraris, Jocelyne; Benedetti‐Cecchi, Lisandro; García‐Charton, José Antonio

doi:10.1139/f08-026

Cited by 62 publications

(64 citation statements)

References 118 publications

(134 reference statements)

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“…Although the recruitment functions used here can be deconstructed into components familiar in fisheries models (Ricker 1954;Beverton and Holt 1957), to my knowledge, this is the first study to explicitly couple them when evaluating fishery management. The dearth of empirical estimations on the relative strengths of inter-and intra-cohort density dependent processes, along with the desire to avoid overly-embellished models that introduce unnecessary uncertainty and veil salient dynamics (May 2004;Pelletier et al 2008), has understandably motivated theoretical ecologists to avoid the recruitment functions evaluated here. Yet, given the growing number of spatial, dynamic fisheries models that allow settlement to be spatially and/or temporally uncoupled from local adult density (Pelletier et al 2008), this study emphasizes the importance in considering explicitly coupled density dependence when evaluating reserve management for fisheries with low to moderate harvest costs.…”

Section: Discussionmentioning

confidence: 99%

“…The dearth of empirical estimations on the relative strengths of inter-and intra-cohort density dependent processes, along with the desire to avoid overly-embellished models that introduce unnecessary uncertainty and veil salient dynamics (May 2004;Pelletier et al 2008), has understandably motivated theoretical ecologists to avoid the recruitment functions evaluated here. Yet, given the growing number of spatial, dynamic fisheries models that allow settlement to be spatially and/or temporally uncoupled from local adult density (Pelletier et al 2008), this study emphasizes the importance in considering explicitly coupled density dependence when evaluating reserve management for fisheries with low to moderate harvest costs. In contrast, the relative timing of inter-and intra-cohort density dependence (represented by the three different density dependent life history scenarios) minimally impacted results, suggesting that it is less important for fisheries models to explicitly consider this factor.…”

Section: Discussionmentioning

confidence: 99%

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Density dependence and the economic efficacy of marine reserves

White

2009

Theor Ecol

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Predictions on the efficacy of marine reserves for benefiting fisheries differ in large part due to considerations of models of either intra-or inter-cohort population density regulating fish recruitment. Here, I consider both processes acting on recruitment and show using a bioeconomic model how for many fisheries density dependent recruitment dynamics interact with harvest costs to influence fishery profit with reserves. Reserves consolidate fishing effort, favoring fisheries that can profitably harvest low-density stocks of species where adult density mediates recruitment. Conversely, proportion coastline in reserves that maximizes profit, and relative improvement in profit from reserves over conventional management, decline with increasing harvest costs and the relative importance of intra-cohort density dependence. Reserves never increase profit when harvest cost is high, regardless of density dependent recruitment dynamics. I quantitatively synthesize diverse results in the literature, show disproportionate effects on the economic performance of reserves from considering only inter-or intra-cohort density dependence, and highlight fish population and fishery dynamics predicted to be complementary to reserve management.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Density dependence and the economic efficacy of marine reserves

White

2009

Theor Ecol

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“…In this way, one can protect or restore proper age and sex distribution, spawning stocks, and aid the most vulnerable fish populations to recover from overfishing (Beets and Friedlander, 1998;Sala et al, 2001;Heyman et al, 2005;Pelletier et al, 2008;Druon, 2010;Teo and Block, 2010). It is also vital to create marine reserves or protected areas in each country, within the territorial coastal marine waters, in which fishing is banned.…”

Section: Overfishingmentioning

confidence: 99%

Sources, factors, mechanisms and possible solutions to pollutants in marine ecosystems

Mostofa

Liu

Vione

et al. 2013

Environmental Pollution

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. Sources, factors, mechanisms and possible solutions to pollutants in marine ecosystems. Environ. Pollut. 2013, 182, 461-478. DOI: 10.1016/j.envpol.2013 You may download, copy and otherwise use the AAM for non-commercial purposes provided that your license is limited by the following restrictions:(1) You may use this AAM for non-commercial purposes only under the terms of the CC-BY-NC-ND license.(2) The integrity of the work and identification of the author, copyright owner, and publisher must be preserved in any copy.(3) You must attribute this AAM in the following format: habitats during the breeding period of marine species, usually for few days; and (ii) in some specific marine locations that have high biodiversity and target and non-target ecosystem components. Possible remedial measures are assessed, but their effective coming into force strongly depends on the public awareness of existing problems and on the priority level that such problems will reach in policy making.

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“…It has been shown that the spill-over of an MPA, i.e., the number of fish "exported" from the MPA that become available for fishing, is related to a number of parameters including pre-and post-reserve human exploitation level, MPA size, shape, age, fish life history and fish ecological traits (Claudet et al , 2010White et al 2010). This has motivated considerable research toward the development of scientific tools that aid in decision making for MPA design (Pelletier et al 2008;Kaplan et al 2010). To achieve this purpose, we need to fully understand the impact of MPAs on the food web.…”

Section: Introductionmentioning

confidence: 99%

A multi-agent ecosystem model for studying changes in a tropical estuarine fish assemblage within a marine protected area

Brochier

Écoutin

Morais

et al. 2012

Aquat. Living Resour.

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-As marine protected areas (MPAs) are increasingly being utilised as a tool for fishery management, their impact on the food web needs to be fully understood. However, little is known about the effect of MPAs on fish assemblages, especially in the presence of different life history and ecological traits. Modelling the observed changes in fish population structures may provide a mechanistic understanding of fish assemblage dynamics. In addition, modelling allows a quantitative estimate of MPA spill-over. To achieve this purpose, we adapted an existing ecosystem model, OSMOSE (Object-oriented simulator of marine biodiversity exploitation), to the specific case of the presence of fish with multiple life histories. The adapted model can manage 4 main categories of life history identified in an estuary MPA: fish that (1) spend their entire life cycle locally, (2) are present only as juveniles, (3) enter the area as juveniles and stay permanently except during reproduction periods, which occur outside the estuary, and (4) are present occasionally and for a short time for foraging purposes. To take into account these specific life-history traits, the OSMOSE code was modified. This modelling approach was developed in the context of the Bamboung Bolong MPA, located in a mangrove area in the Sine-Saloum Delta, Senegal. This was the ideal case to develop our approach as there has been scientific monitoring of the fish population structure inside the MPA before fishery closure, providing a reference state, and continuous monitoring since the closure. Ecologically similar species were pooled by trophic traits into 15 groups that represented 97% of the total biomass. Lower trophic levels (LTL) were represented by 6 compartments. The biomass of the model species was calibrated to reproduce the reference situation before fishery closure. Model predictions of fish assemblage changes after fishery closure corresponding to the Bamboung MPA creation scenario were compared to field observations; in most cases the model reproduces observed changes in biomass (at least in direction). We suggest the existence of a "sanctuary effect", that was not taken into account in the model, this could explain the observed increase in biomass of top predators not reproduced by the model. Finally, the annual MPA fish spill-over was estimated at 11 tons (∼33% of the fish biomass) from the model output, mainly due to diffusive effects.

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Models and indicators for assessing conservation and fisheries-related effects of marine protected areas

Cited by 62 publications

References 118 publications

Density dependence and the economic efficacy of marine reserves

Density dependence and the economic efficacy of marine reserves

Sources, factors, mechanisms and possible solutions to pollutants in marine ecosystems

A multi-agent ecosystem model for studying changes in a tropical estuarine fish assemblage within a marine protected area

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