Hydraulic drive framework on habitat suitability enhances movement bias of brown trout in stream networks

Freshwater ecosystems face increasing threats from human activities and climate change, thus requiring efforts to reduce impacts and prevent further deterioration. Restoration projects for riverine environments often rely on hydraulic, habitat, and metapopulation models, which depend on their accuracy in capturing the interactions among the different elements. In this regard, a critical challenge is represented by the definition of reliable relationships between fish population dynamics among river reaches in a catchment and habitat characteristics. This study presents an efficient, eco-hydraulically based framework to model the movement bias of brown trout within a river network. The proposed framework integrates the effects of hydraulics and habitat characteristics in terms of the Habitat Suitability Index for various trout age classes. Novel relationships linking fish dynamics to habitat quality are employed to correct the movement bias of fish based on the upstream and downstream habitat conditions. The corrected bias is used to compute the population dynamics at the catchment scale and tested against different flow regimes. Accordingly, the impact of habitat condition changes on the population dynamics is highlighted. The framework simplicity makes it suitable for future integration into existing habitat and metapopulation models, thus offering a practical tool for enhancing riverine restoration planning.

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Publication Details

Journal
Scientific Reports
Published
2025-05-14
DOI
https://doi.org/10.1038/s41598-025-00216-x
Citations
1
Primary Topic
Fish Ecology and Management Studies
Type
article
Field-Weighted Citation Impact
2.31

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article

Hydraulic drive framework on habitat suitability enhances movement bias of brown trout in stream networks

Giovanni De Cesare, Giulio Calvani, Paolo Perona, Francesca Padoan
1 citations
Scientific Reports
Fish Ecology and Management Studies
2.31
article

Hydraulic drive framework on habitat suitability enhances movement bias of brown trout in stream networks

Giovanni De Cesare, Giulio Calvani, Paolo Perona, Francesca Padoan
article en
1 citations

Abstract

Freshwater ecosystems face increasing threats from human activities and climate change, thus requiring efforts to reduce impacts and prevent further deterioration. Restoration projects for riverine environments often rely on hydraulic, habitat, and metapopulation models, which depend on their accuracy in capturing the interactions among the different elements. In this regard, a critical challenge is represented by the definition of reliable relationships between fish population dynamics among river reaches in a catchment and habitat characteristics. This study presents an efficient, eco-hydraulically based framework to model the movement bias of brown trout within a river network. The proposed framework integrates the effects of hydraulics and habitat characteristics in terms of the Habitat Suitability Index for various trout age classes. Novel relationships linking fish dynamics to habitat quality are employed to correct the movement bias of fish based on the upstream and downstream habitat conditions. The corrected bias is used to compute the population dynamics at the catchment scale and tested against different flow regimes. Accordingly, the impact of habitat condition changes on the population dynamics is highlighted. The framework simplicity makes it suitable for future integration into existing habitat and metapopulation models, thus offering a practical tool for enhancing riverine restoration planning.

Scientific ReportsVol. 15(1)
École Polytechnique Fédérale de Lausanne (CH)
Bundesamt für Umwelt
Life in Land
Openalex Percentile: Top 14%
Fish Ecology and Management Studies
2.31
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