Combining habitat selection, behavioural states, and individual variation to predict fish spatial usage near a barrier

Riverine barriers are threatening freshwater fish migration, with major impacts on fish populations. Effective management requires understanding of fish movement and behaviour as they approach a barrier and fish pass, which can inform optimal mitigation options and barrier management. Here, the movements of upstream migrating barbel Barbus barbus and grayling Thymallus thymallus near a barrier were analysed and results used to develop predictive models. Fish were tracked via 2D acoustic telemetry. Hidden Markov models were used to distinguish behavioural states and step selection functions were applied to determine habitat selection by the fish in each state. Model results were explored to assess the benefits of including behavioural state and understand state-specific habitat preferences, then cross-validated and used to develop an individual based model to predict fish spatial usage. Little difference existed in habitat selection between states and individual variation was high, limiting general trends that could be described. Overall, barbel preferred deeper or faster water while for grayling, few trends could be described. Under the tested flow conditions, high spatial usage was predicted in the area directly downstream of the barrier. In addition, barbel usage was high in the area by and downstream of the fish pass entrance but not for grayling, which may indicate a need to improve pass attractiveness for grayling. The predictive model produced directed upstream movements of fish similar to those expected for upstream migrating freshwater fish, highlighting model potential for fish passage applications in future iterations. The high individual variability in fish behaviour drives the need for individual-based approaches for predicting fish movement. • Effective mitigation of riverine barriers relies on understanding patterns behind fish movement near a barrier. • Thirty-one freshwater fish were tracked during their upstream spawning migration in the downstream area of a barrier. • Behavioural-state specific habitat selection was analysed and used to predict spatial usage. • Habitat selection differed little between behavioural states but varied greatly among individuals. • Combining acoustic telemetry and hydraulic models is a powerful avenue to understand and predict fish spatial usage.

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Publication Details

Journal
Ecological Informatics
Published
2024-12-21
DOI
https://doi.org/10.1016/j.ecoinf.2024.102967
Citations
3
Primary Topic
Fish Ecology and Management Studies
Type
article
Field-Weighted Citation Impact
2.07

Funders

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Combining habitat selection, behavioural states, and individual variation to predict fish spatial usage near a barrier

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article

Combining habitat selection, behavioural states, and individual variation to predict fish spatial usage near a barrier

Rachel Mawer, Ine Pauwels, Johan Coeck, Renanel Pickholtz, Stijn Bruneel, Peter L.M. Goethals, Eliezer Pickholtz, Jelger Elings
article en
3 citations

Abstract

Riverine barriers are threatening freshwater fish migration, with major impacts on fish populations. Effective management requires understanding of fish movement and behaviour as they approach a barrier and fish pass, which can inform optimal mitigation options and barrier management. Here, the movements of upstream migrating barbel Barbus barbus and grayling Thymallus thymallus near a barrier were analysed and results used to develop predictive models. Fish were tracked via 2D acoustic telemetry. Hidden Markov models were used to distinguish behavioural states and step selection functions were applied to determine habitat selection by the fish in each state. Model results were explored to assess the benefits of including behavioural state and understand state-specific habitat preferences, then cross-validated and used to develop an individual based model to predict fish spatial usage. Little difference existed in habitat selection between states and individual variation was high, limiting general trends that could be described. Overall, barbel preferred deeper or faster water while for grayling, few trends could be described. Under the tested flow conditions, high spatial usage was predicted in the area directly downstream of the barrier. In addition, barbel usage was high in the area by and downstream of the fish pass entrance but not for grayling, which may indicate a need to improve pass attractiveness for grayling. The predictive model produced directed upstream movements of fish similar to those expected for upstream migrating freshwater fish, highlighting model potential for fish passage applications in future iterations. The high individual variability in fish behaviour drives the need for individual-based approaches for predicting fish movement. • Effective mitigation of riverine barriers relies on understanding patterns behind fish movement near a barrier. • Thirty-one freshwater fish were tracked during their upstream spawning migration in the downstream area of a barrier. • Behavioural-state specific habitat selection was analysed and used to predict spatial usage. • Habitat selection differed little between behavioural states but varied greatly among individuals. • Combining acoustic telemetry and hydraulic models is a powerful avenue to understand and predict fish spatial usage.

Ecological InformaticsVol. 85
Tel Aviv University (IL), Research Institute for Nature and Forest (BE), Brunswick (United States) (US), Ghent University (BE)
Agentschap voor Natuur en Bos, Augsburg University, European Commission, Horizon 2020 Framework Programme, Horizon 2020, HORIZON EUROPE Marie Sklodowska-Curie Actions
Life below water
Openalex Percentile: Top 13%
Fish Ecology and Management Studies
2.07
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