Modelling stream fish species distribution in a river network: the relative effects of temperature versus physical factors

Abstract – The relative influence of temperature versus local physical factors on the spatial distribution of riverine fish species was investigated in a large watershed of south‐western France. Using generalised additive models and hierarchical partitioning, we modelled the ecological responses of...

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Published in:Ecology of Freshwater Fish
Main Authors: Buisson, L., Blanc, L., Grenouillet, G.
Format: Article in Journal/Newspaper
Language:English
Published: Wiley 2007
Subjects:
Online Access:http://dx.doi.org/10.1111/j.1600-0633.2007.00276.x
https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2Fj.1600-0633.2007.00276.x
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spelling crwiley:10.1111/j.1600-0633.2007.00276.x 2024-09-15T17:56:25+00:00 Modelling stream fish species distribution in a river network: the relative effects of temperature versus physical factors Buisson, L. Blanc, L. Grenouillet, G. 2007 http://dx.doi.org/10.1111/j.1600-0633.2007.00276.x https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2Fj.1600-0633.2007.00276.x https://onlinelibrary.wiley.com/doi/pdf/10.1111/j.1600-0633.2007.00276.x en eng Wiley http://onlinelibrary.wiley.com/termsAndConditions#vor Ecology of Freshwater Fish volume 17, issue 2, page 244-257 ISSN 0906-6691 1600-0633 journal-article 2007 crwiley https://doi.org/10.1111/j.1600-0633.2007.00276.x 2024-08-13T04:12:22Z Abstract – The relative influence of temperature versus local physical factors on the spatial distribution of riverine fish species was investigated in a large watershed of south‐western France. Using generalised additive models and hierarchical partitioning, we modelled the ecological responses of 28 fish species to a set of five environmental predictors, and we quantified the independent effect of each predictor. The spatial distribution of fish species was primarily determined by both mean temperature and position along the upstream–downstream gradient. However, responses to these environmental factors varied according to the species considered. Fish species with strong thermal requirements (e.g., common carp, black bullhead, Atlantic salmon) were mainly sensitive to temperature whereas longitudinal gradient was of primary importance for downstream species (e.g., common bream, largemouth bass, pike perch). Both the statistical methods used gave concordant results and appeared complementary. This dual‐approach, quantifying the relative contribution of each environmental factor, appears particularly useful to understand the spatial distribution of stream fish species. Separating the effects of temperature versus habitat factors is crucial to accurately predict species distribution modifications in the current context of global change. Article in Journal/Newspaper Atlantic salmon Wiley Online Library Ecology of Freshwater Fish 17 2 244 257
institution Open Polar
collection Wiley Online Library
op_collection_id crwiley
language English
description Abstract – The relative influence of temperature versus local physical factors on the spatial distribution of riverine fish species was investigated in a large watershed of south‐western France. Using generalised additive models and hierarchical partitioning, we modelled the ecological responses of 28 fish species to a set of five environmental predictors, and we quantified the independent effect of each predictor. The spatial distribution of fish species was primarily determined by both mean temperature and position along the upstream–downstream gradient. However, responses to these environmental factors varied according to the species considered. Fish species with strong thermal requirements (e.g., common carp, black bullhead, Atlantic salmon) were mainly sensitive to temperature whereas longitudinal gradient was of primary importance for downstream species (e.g., common bream, largemouth bass, pike perch). Both the statistical methods used gave concordant results and appeared complementary. This dual‐approach, quantifying the relative contribution of each environmental factor, appears particularly useful to understand the spatial distribution of stream fish species. Separating the effects of temperature versus habitat factors is crucial to accurately predict species distribution modifications in the current context of global change.
format Article in Journal/Newspaper
author Buisson, L.
Blanc, L.
Grenouillet, G.
spellingShingle Buisson, L.
Blanc, L.
Grenouillet, G.
Modelling stream fish species distribution in a river network: the relative effects of temperature versus physical factors
author_facet Buisson, L.
Blanc, L.
Grenouillet, G.
author_sort Buisson, L.
title Modelling stream fish species distribution in a river network: the relative effects of temperature versus physical factors
title_short Modelling stream fish species distribution in a river network: the relative effects of temperature versus physical factors
title_full Modelling stream fish species distribution in a river network: the relative effects of temperature versus physical factors
title_fullStr Modelling stream fish species distribution in a river network: the relative effects of temperature versus physical factors
title_full_unstemmed Modelling stream fish species distribution in a river network: the relative effects of temperature versus physical factors
title_sort modelling stream fish species distribution in a river network: the relative effects of temperature versus physical factors
publisher Wiley
publishDate 2007
url http://dx.doi.org/10.1111/j.1600-0633.2007.00276.x
https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2Fj.1600-0633.2007.00276.x
https://onlinelibrary.wiley.com/doi/pdf/10.1111/j.1600-0633.2007.00276.x
genre Atlantic salmon
genre_facet Atlantic salmon
op_source Ecology of Freshwater Fish
volume 17, issue 2, page 244-257
ISSN 0906-6691 1600-0633
op_rights http://onlinelibrary.wiley.com/termsAndConditions#vor
op_doi https://doi.org/10.1111/j.1600-0633.2007.00276.x
container_title Ecology of Freshwater Fish
container_volume 17
container_issue 2
container_start_page 244
op_container_end_page 257
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