Direct habitat descriptors improve the understanding of the organization of fish and macroinvertebrate communities across a large catchment.

In large-scale aquatic ecological studies, direct habitat descriptors (e.g. water temperature, hydraulics in river reaches) are often approximated by coarse-grain surrogates (e.g. air temperature, discharge respectively) since they are easier to measure or model. However, as biological variability c...

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Main Authors: Coline Picard, Mathieu Floury, Hanieh Seyedhashemi, Maxime Morel, Hervé Pella, Nicolas Lamouroux, Laëtitia Buisson, Florentina Moatar, Anthony Maire
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2022-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0274167
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author Coline Picard
Mathieu Floury
Hanieh Seyedhashemi
Maxime Morel
Hervé Pella
Nicolas Lamouroux
Laëtitia Buisson
Florentina Moatar
Anthony Maire
author_facet Coline Picard
Mathieu Floury
Hanieh Seyedhashemi
Maxime Morel
Hervé Pella
Nicolas Lamouroux
Laëtitia Buisson
Florentina Moatar
Anthony Maire
author_sort Coline Picard
collection DOAJ
description In large-scale aquatic ecological studies, direct habitat descriptors (e.g. water temperature, hydraulics in river reaches) are often approximated by coarse-grain surrogates (e.g. air temperature, discharge respectively) since they are easier to measure or model. However, as biological variability can be very strong at the habitat scale, surrogate variables may have a limited ability to capture all of this variability, which may lead to a lesser understanding of the ecological processes or patterns of interest. In this study, we aimed to compare the capacity of direct habitat descriptors vs. surrogate environmental variables to explain the organization of fish and macroinvertebrate communities across the Loire catchment in France (105 km2). For this purpose, we relied on high-resolution environmental data, extensive biological monitoring data (>1000 sampling stations) and multivariate analyses. Fish and macroinvertebrate abundance datasets were considered both separately and combined to assess the value of a cross-taxa approach. We found that fish and macroinvertebrate communities exhibited weak concordance in their organization and responded differently to the main ecological gradients. Such variations are probably due to fundamental differences in their life-history traits and mobility. Regardless of the biological group considered, direct habitat descriptors (water temperature and local hydraulic variables) consistently explained the organization of fish and macroinvertebrate communities better than surrogate descriptors (air temperature and river discharge). Furthermore, the organization of fish and macroinvertebrate communities was slightly better explained by the combination of direct or surrogate environmental variables when the two biological groups were considered together than when considered separately. Tied together, these results emphasize the importance of using a cross-taxa approach in association with high-resolution direct habitat variables to more accurately explain the organization of aquatic communities.
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spelling doaj.art-4e1740ef5a834455a8ccc777c96ef95f2022-12-22T03:18:26ZengPublic Library of Science (PLoS)PLoS ONE1932-62032022-01-01179e027416710.1371/journal.pone.0274167Direct habitat descriptors improve the understanding of the organization of fish and macroinvertebrate communities across a large catchment.Coline PicardMathieu FlouryHanieh SeyedhashemiMaxime MorelHervé PellaNicolas LamourouxLaëtitia BuissonFlorentina MoatarAnthony MaireIn large-scale aquatic ecological studies, direct habitat descriptors (e.g. water temperature, hydraulics in river reaches) are often approximated by coarse-grain surrogates (e.g. air temperature, discharge respectively) since they are easier to measure or model. However, as biological variability can be very strong at the habitat scale, surrogate variables may have a limited ability to capture all of this variability, which may lead to a lesser understanding of the ecological processes or patterns of interest. In this study, we aimed to compare the capacity of direct habitat descriptors vs. surrogate environmental variables to explain the organization of fish and macroinvertebrate communities across the Loire catchment in France (105 km2). For this purpose, we relied on high-resolution environmental data, extensive biological monitoring data (>1000 sampling stations) and multivariate analyses. Fish and macroinvertebrate abundance datasets were considered both separately and combined to assess the value of a cross-taxa approach. We found that fish and macroinvertebrate communities exhibited weak concordance in their organization and responded differently to the main ecological gradients. Such variations are probably due to fundamental differences in their life-history traits and mobility. Regardless of the biological group considered, direct habitat descriptors (water temperature and local hydraulic variables) consistently explained the organization of fish and macroinvertebrate communities better than surrogate descriptors (air temperature and river discharge). Furthermore, the organization of fish and macroinvertebrate communities was slightly better explained by the combination of direct or surrogate environmental variables when the two biological groups were considered together than when considered separately. Tied together, these results emphasize the importance of using a cross-taxa approach in association with high-resolution direct habitat variables to more accurately explain the organization of aquatic communities.https://doi.org/10.1371/journal.pone.0274167
spellingShingle Coline Picard
Mathieu Floury
Hanieh Seyedhashemi
Maxime Morel
Hervé Pella
Nicolas Lamouroux
Laëtitia Buisson
Florentina Moatar
Anthony Maire
Direct habitat descriptors improve the understanding of the organization of fish and macroinvertebrate communities across a large catchment.
PLoS ONE
title Direct habitat descriptors improve the understanding of the organization of fish and macroinvertebrate communities across a large catchment.
title_full Direct habitat descriptors improve the understanding of the organization of fish and macroinvertebrate communities across a large catchment.
title_fullStr Direct habitat descriptors improve the understanding of the organization of fish and macroinvertebrate communities across a large catchment.
title_full_unstemmed Direct habitat descriptors improve the understanding of the organization of fish and macroinvertebrate communities across a large catchment.
title_short Direct habitat descriptors improve the understanding of the organization of fish and macroinvertebrate communities across a large catchment.
title_sort direct habitat descriptors improve the understanding of the organization of fish and macroinvertebrate communities across a large catchment
url https://doi.org/10.1371/journal.pone.0274167
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