Document Detail

Preventing the collapse of the Baltic cod stock through an ecosystem-based management approach.
MedLine Citation:
PMID:  19706557     Owner:  NLM     Status:  MEDLINE    
Worldwide a number of fish stocks have collapsed because of overfishing and climate-induced ecosystem changes. Developing ecosystem-based fisheries management (EBFM) to prevent these catastrophic events in the future requires ecological models incorporating both internal food-web dynamics and external drivers such as fishing and climate. Using a stochastic food-web model for a large marine ecosystem (i.e., the Baltic Sea) hosting a commercially important cod stock, we were able to reconstruct the history of the stock. Moreover we demonstrate that in hindsight the collapse could only have been avoidable by adapting fishing pressure to environmental conditions and food-web interactions. The modeling approach presented here represents a significant advance for EBFM, the application of which is important for sustainable resource management in the future.
Martin Lindegren; Christian Möllmann; Anders Nielsen; Nils C Stenseth
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2009-08-17
Journal Detail:
Title:  Proceedings of the National Academy of Sciences of the United States of America     Volume:  106     ISSN:  1091-6490     ISO Abbreviation:  Proc. Natl. Acad. Sci. U.S.A.     Publication Date:  2009 Aug 
Date Detail:
Created Date:  2009-08-26     Completed Date:  2009-09-28     Revised Date:  2013-05-31    
Medline Journal Info:
Nlm Unique ID:  7505876     Medline TA:  Proc Natl Acad Sci U S A     Country:  United States    
Other Details:
Languages:  eng     Pagination:  14722-7     Citation Subset:  IM    
National Institute of Aquatic Resources, Technical University of Denmark, Charlottenlund Castle, DK-2920 Charlottenlund, Denmark.
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MeSH Terms
Conservation of Natural Resources / economics,  methods
Fisheries / economics,  methods*
Food Chain*
Gadiformes / growth & development*
Marine Biology
Models, Theoretical
Oceans and Seas

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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