Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 498179
Title Bio-economic modelling for marine spatial planning application in North Sea shrimp and flatfish fisheries
Author(s) Bartelings, H.; Hamon, K.G.; Berkenhagen, J.; Buisman, F.C.
Source Environmental Modelling & Software 74 (2015). - ISSN 1364-8152 - p. 156 - 172.
DOI http://dx.doi.org/10.1016/j.envsoft.2015.09.013
Department(s) LEI International Policy
LEI Performance and Impact Agrosectors
LEI Green Economy and Landuse
Publication type Refereed Article in a scientific journal
Publication year 2015
Keyword(s) Bio-economic model - Fleet dynamics - Marine spatial planning - North sea - SIMFISH
Abstract

Marine activities have been increasingly competing for space and reducing areas for fishing. The use of spatially explicit tools can assist the decision making process on defining the optimal location of closures for fishing due to these emerging activities.This paper presents the Spatial Integrated bio-economic Model for FISHeries (SIMFISH). In this model fishers behaviour is simulated based on optimal effort allocation. The added value of this model compared to other existing spatial management tools lies in the presence of (i) short and long term fishers behaviour (ii) spatial explicit stock and fleet dynamics and (iii) relatively low data requirements.As an illustration, SIMFISH is applied in this paper to estimate the impact of area closures in the North Sea. Overall area closures have a negative impact on the profitability of the fleets. This would be worsened with higher fuel prices and decreased stock productivity.

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