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 431942
Title A multi-disciplinary framework for bio-economic modeling in aquaculture: a welfare case study
Author(s) Noble, C.; Berrill, I.K.; Waller, B.; Schneider, O.; Kole, A.P.W.
Source Aquaculture Economics & Management 16 (2012)4. - ISSN 1365-7305 - p. 297 - 314.
DOI https://doi.org/10.1080/13657305.2012.729250
Department(s) IMARES Aquaculture
IMARES
Publication type Refereed Article in a scientific journal
Publication year 2012
Keyword(s) animal-welfare - farm
Abstract This article summarizes the framework that translated data from multiple disciplines into a bio-economic decision tool for modeling the costs and benefits of improving fish welfare in commercial aquaculture. This decision tool formed the basis of a recent EU research project, BENEFISH which was funded via the European Commission's Sixth Framework (FP6) initiative. The bio-economic decision model can incorporate biological data, productivity data, micro (farm) and macro (industry) level economic data, and consumer marketing and business to business data. It can identify areas for potential added value that might be achieved by improving fish welfare across a range of species and husbandry systems within European aquaculture. This article provides a brief overview of the minimum data requirements for successfully modeling the bio-economic impacts of improvements in farmed fish welfare using the model developed during the BENEFISH project. It also highlights potential bottlenecks and the minimum prerequisites for each potential data set to be used for successful modeling.
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