Journal Article

Estimation of Atlantic salmon smolt carrying capacity of rivers using expert knowledge

Laura Uusitalo, Sakari Kuikka and Atso Romakkaniemi

in ICES Journal of Marine Science

Published on behalf of ICES/CIEM

Volume 62, issue 4, pages 708-722
Published in print January 2005 | ISSN: 1054-3139
Published online January 2005 | e-ISSN: 1095-9289 | DOI:
Estimation of Atlantic salmon smolt carrying capacity of rivers using expert knowledge

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A mixed salmon fishery with both natural wild salmon stocks and reared salmon exists in the Baltic Sea. The agreed-upon goal of management is to safeguard the wild stocks, and the practical management objectives have been agreed to attain at least a 50% maximum salmon production capacity in each river. This natural production capacity is, however, largely unknown. Here, a new approach has been used to estimate the salmon maximum production capacity of northern Baltic Sea rivers. A probabilistic salmon production capacity model was built entirely upon expert knowledge. The model describes the external physical and biological factors of the rivers and the juvenile salmon stocks' response to these factors. We found that the experts estimated the carrying capacity to be considerably higher than former estimates. A very high uncertainty was, however, connected with these estimates. We also found considerable disagreement over the general carrying capacity level among the experts; the major uncertainty emerged from the conflicting views of the experts. The result implies that perhaps operational management objectives other than those based on maximal smolt production levels should be considered to decrease the uncertainty connected with evaluation of management success.

Keywords: Baltic salmon; Bayesian belief network; carrying capacity; expert knowledge; probabilistic modelling; smolt production; smolt production model; wild salmon

Journal Article.  8171 words.  Illustrated.

Subjects: Environmental Science ; Marine and Estuarine Biology

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