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 393160
Title Investigations of a stock assessment in brown shrimp (Crangon crangon) Part 2: Biomass model
Author(s) Hammen, T. van der; Poos, J.J.
Source IJmuiden : IMARES (Report / IMARES Wageningen UR C072/10) - 25
Department(s) IMARES Vis
IMARES Visserij
Publication type Research report
Publication year 2010
Keyword(s) schaal- en schelpdierenvisserij - garnalen - crangon - duurzaamheid (sustainability) - visserijbeheer - gegevens verzamelen - shellfish fisheries - shrimps - sustainability - fishery management - data collection
Categories Fishery Resources and Management
Abstract The Ministry of Agriculture, Conservation and Food quality, Producer organisations of the Dutch shrimp fisheries and NGO’s (Stichting de Noordzee and Waddenvereniging) have underlined the importance of sustainable harvesting of brown shrimp in the North Sea and Wadden Sea. Also they would like the brown shrimp fishery to meet the conditions of an MSC (Marine Stewardship Council) certificate. The first principle that the shrimp fishery needs to fulfil in order to acquire an MSC-label states that the stock should not be overfished. The biomass dynamic model has been investigated. This model does not need demographic data and was used successfully in Northern shrimp (Pandalus borealis). The model only needs the total amount of shrimp landings and an index of catches per unit of effort (CPUE) to assess the stock. The main assumptions of the model are (1) the stock under study is a single stock and (2) the available index (CPUE, catch per unit of effort series) describes the trends in the population well. The main conclusion from the study is that the applicability of the biomass model for a reliable stock assessment of brown shrimp needs considerably more study and data collection.
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