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A Bayesian belief network for modelling brown trout (Salmo trutta) populations in Switzerland

Borsuk, Mark E. and Reichert, Peter and Burkhardt-Holm, Patricia. (2004) A Bayesian belief network for modelling brown trout (Salmo trutta) populations in Switzerland. In: International Congress on Environmental Modelling and Software. pp. 1-7.

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Official URL: https://edoc.unibas.ch/83959/

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Abstract

A Bayesian belief network is described that integrates the various scientific findings of an interdisciplinary research project on brown trout and their habitat in Switzerland. The network is based on a population model for brown trout, which is extended to include the effect of natural and anthropogenic influence factors. Uncertainty is included in the form of conditional probability distributions describing model relationships. The model is applied to brown trout populations at twelve locations in four river basins. Model testing consisted of comparing predictions of juvenile and adult density under current conditions to the results of recent population surveys. The relative importance of the various influence factors was then assessed by comparing various model scenarios, including a hypothetical reference condition. A measure of causal strength was developed based on this comparison, and the major stress factors were ranked according to this measure for each location. Results give an indication of the type of management actions that will be most effective in protecting or restoring brown trout populations.
Faculties and Departments:05 Faculty of Science > Departement Umweltwissenschaften > Integrative Biologie > Aquatische ├ľkologie (Holm)
UniBasel Contributors:Holm, Patricia
Item Type:Conference or Workshop Item
Conference or workshop item Subtype:Conference Paper
Publisher:iEMSs
Note:Publication type according to Uni Basel Research Database: Conference paper
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Last Modified:30 Aug 2021 09:16
Deposited On:30 Aug 2021 09:16

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