Model identification for flexible multifleet–multispecies fisheries: a simulation study

Laloë, Francis; Pech, Nicolas; Sabatier, Robert; Samba, Alassane

doi:10.1016/s0165-7836(98)00136-2

Cited by 16 publications

(14 citation statements)

References 9 publications

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“…(Stergiou et al, 1997;Laloe et al, 1998;Freire and Garcia-Allut, 2000;Caddy and Cochrane, 2001;Himes, 2003). Before that step, the composition and geographical distribution of the fleet in terms of technical characteristics and gears must be defined.…”

Section: Introductionmentioning

confidence: 99%

Composition, temporal dynamics and regional characteristics of small-scale fisheries in Greece

Dimitriou²,

et al. 2005

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Section: Introductionmentioning

confidence: 99%

Composition, temporal dynamics and regional characteristics of small-scale fisheries in Greece

Dimitriou²,

et al. 2005

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“…In these models, fishing effort is static and its allocation between métiers or gears is fixed. In contrast, fishing activity is more complex and fishing effort becomes dynamic in Laloë and Samba (1991); Laurec et al (1991) and Laloë et al (1998). Fishing vessels were grouped into strategies, i.e.…”

Section: Mixed Fisheriesmentioning

confidence: 99%

Spatially explicit fisheries simulation models for policy evaluation

2005

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Introduction 308Review of existing models and simulation tools 309Population and ecosystem modelling 309Non-spatial models and the efficacy of no-take zones 309 Metapopulation models 310Spatially explicit demographic models 312Multispecific and ecosystem approaches 318Modelling exploitation and management policies 320Dynamics of the spatial allocation of fishing effort 320 Mixed fisheries 321Bioeconomic modelling 323Policy modelling and fishers' response to management 323A generic simulation tool for policy evaluation 325Spatial and seasonal scales in the model 325 AbstractThis paper deals with the design of modelling tools suitable for investigating the consequences of alternative policies on the dynamics of resources and fisheries, such as the evaluation of marine protected areas (MPA). We first review the numerous models that have been developed for this purpose, and compare them from several standpoints: population modelling, exploitation modelling and management measure modelling. We then present a generic fisheries simulation model, Integration of Spatial Information for FISHeries simulation (ISIS-Fish). This spatially explicit model allows quantitative policy screening for fisheries with mixed-species harvests. It may be used to investigate the effects of combined management scenarios including a variety of policies: total allowable catch (TAC), licenses, gear restrictions, MPA, etc. Fisher's response to management may be accounted for by means of decision rules conditioned on population and exploitation parameters. An application to a simple example illustrates the relevance of this kind of tool for policy screening, particularly in the case of mixed fisheries. Finally, the reviewed models and ISIS-Fish are discussed and confronted in the light of the underlying assumptions and model objectives. In the light of this discussion, we identify desirable features for fisheries simulation models aimed at policy evaluation, and particularly MPA evaluation.

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“…Le contexte de l'interdisciplinarité et de la représentation selon des systèmes complexes est à ce titre exemplaire, en ce sens que les observations ne sont pas entièrement issues de plans d'expérience contrôlés. L:articulation de points de vue différents entraîne par exemple que les suppositions faites selon un des points de vue contraignent les interprétations pouvant être faites selon un autre (Laloë et al, 1998 (Mullon et Piron, 1998). On pourrait penser, de ce qui précède, que la modélisation peut être questionnée de la même façon par chacune des autres disciplines.…”

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Le statut de la modélisation dans une démarche interdisciplinaire

Laloë

1999

Nature Sciences Sociétés

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An interdisciplinary programme always refers to a thematic problematic and applied objectives, as weil as to observations about the real world. A common object is constructed, combining disciplinary points of views. The need for modelling sciences is commonly stated, providing tools that appear necessary for the construction of the common object. Using the statisticat concept of sufficiency, we discuss the synthetic aspect of answers given to the questions addressed. Using modelling techniques in an interdisciplinary context may Iead to enhance the need for question modification and hence rebuilding the common object. We take the example of the exploitation of a marine renewable resource, described from combinations of two points of view, one regarding the resource, the other regarding the exploitation activity. These combinations are different, according to which point of view is considered first. Based on this particular example, we indicate how ·orphan· questions may arise, which can hardly be identified by any of the individuat disciplinary points of view. Such questions ought to be taken into consideration if the answers provide sound information related to the thematic domain, such as sustainable development, for example. Their 'adoption· is a step in the programme·s progressive probtematic. The common object makes no sense if disciplinary abjects are not explicitly presented. Giving those disciplinary abjects the place they should have, would make it easier to identify the rote and the place of modelling sciences in interdisciplinary programmes.© 1999

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Model identification for flexible multifleet–multispecies fisheries: a simulation study

Cited by 16 publications

References 9 publications

Composition, temporal dynamics and regional characteristics of small-scale fisheries in Greece

Composition, temporal dynamics and regional characteristics of small-scale fisheries in Greece

Spatially explicit fisheries simulation models for policy evaluation

Le statut de la modélisation dans une démarche interdisciplinaire

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