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Rheoreaction impacts dispersal of fish larvae in restored rivers
Connectivity of nurseries and spawning habitats for young of the year life stage is essential for successful recruitment of fish populations and therefore provides a key indicator for river restoration measures. Models for dispersal offer the potential to draw conclusions regarding restoration scena...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Ltd.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7383965/ https://www.ncbi.nlm.nih.gov/pubmed/32733167 http://dx.doi.org/10.1002/rra.3630 |
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author | Glas, Martin Tritthart, Michael Keckeis, Hubert Lechner, Aaron Liedermann, Marcel Habersack, Helmut |
author_facet | Glas, Martin Tritthart, Michael Keckeis, Hubert Lechner, Aaron Liedermann, Marcel Habersack, Helmut |
author_sort | Glas, Martin |
collection | PubMed |
description | Connectivity of nurseries and spawning habitats for young of the year life stage is essential for successful recruitment of fish populations and therefore provides a key indicator for river restoration measures. Models for dispersal offer the potential to draw conclusions regarding restoration scenarios and to fill knowledge gaps about possible implications for fish populations. A newly developed rheoreaction‐based correlated random walk model (RCRW), in combination with a three‐dimensional numerical model and a non‐steady‐state particle tracing model, was applied for nase carp larvae (Chondrostoma nasus) before and after a restoration project on the river Danube, Austria. Spatio‐temporal patterns of dispersal of virtual larvae, attached with rheoreactive behaviour, were analysed within both scenarios. In comparison to the heavily modified river reach, the restored reach enabled a greater amount of upstream movement from the release site and showed a generally higher variability of spatio‐temporal distribution patterns. In contrast, estimated total settlement of rheoreactive larvae was substantially higher for the situation prior to the restoration measure. By comparing model results with a previously field experiment it was found that model simulations including rheoreaction as a single behaviour for navigation could not explain the whole pattern of larval dispersal. Therefore it is highly recommended for future studies to develop larval dispersal models by considering other factors (i.e., behaviour, bio‐energetics and environmental factors) of existing and future individual‐based models, which could serve as a tool to analyse the effect of restoration measures for recruitment of riverine fish populations. |
format | Online Article Text |
id | pubmed-7383965 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley & Sons, Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-73839652020-07-28 Rheoreaction impacts dispersal of fish larvae in restored rivers Glas, Martin Tritthart, Michael Keckeis, Hubert Lechner, Aaron Liedermann, Marcel Habersack, Helmut River Res Appl Research Articles Connectivity of nurseries and spawning habitats for young of the year life stage is essential for successful recruitment of fish populations and therefore provides a key indicator for river restoration measures. Models for dispersal offer the potential to draw conclusions regarding restoration scenarios and to fill knowledge gaps about possible implications for fish populations. A newly developed rheoreaction‐based correlated random walk model (RCRW), in combination with a three‐dimensional numerical model and a non‐steady‐state particle tracing model, was applied for nase carp larvae (Chondrostoma nasus) before and after a restoration project on the river Danube, Austria. Spatio‐temporal patterns of dispersal of virtual larvae, attached with rheoreactive behaviour, were analysed within both scenarios. In comparison to the heavily modified river reach, the restored reach enabled a greater amount of upstream movement from the release site and showed a generally higher variability of spatio‐temporal distribution patterns. In contrast, estimated total settlement of rheoreactive larvae was substantially higher for the situation prior to the restoration measure. By comparing model results with a previously field experiment it was found that model simulations including rheoreaction as a single behaviour for navigation could not explain the whole pattern of larval dispersal. Therefore it is highly recommended for future studies to develop larval dispersal models by considering other factors (i.e., behaviour, bio‐energetics and environmental factors) of existing and future individual‐based models, which could serve as a tool to analyse the effect of restoration measures for recruitment of riverine fish populations. John Wiley & Sons, Ltd. 2020-04-15 2020-06 /pmc/articles/PMC7383965/ /pubmed/32733167 http://dx.doi.org/10.1002/rra.3630 Text en © 2020 The Authors. River Research and Applications published by John Wiley & Sons Ltd This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Articles Glas, Martin Tritthart, Michael Keckeis, Hubert Lechner, Aaron Liedermann, Marcel Habersack, Helmut Rheoreaction impacts dispersal of fish larvae in restored rivers |
title | Rheoreaction impacts dispersal of fish larvae in restored rivers |
title_full | Rheoreaction impacts dispersal of fish larvae in restored rivers |
title_fullStr | Rheoreaction impacts dispersal of fish larvae in restored rivers |
title_full_unstemmed | Rheoreaction impacts dispersal of fish larvae in restored rivers |
title_short | Rheoreaction impacts dispersal of fish larvae in restored rivers |
title_sort | rheoreaction impacts dispersal of fish larvae in restored rivers |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7383965/ https://www.ncbi.nlm.nih.gov/pubmed/32733167 http://dx.doi.org/10.1002/rra.3630 |
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