Modelling diatom life forms and ecological guilds for river biomonitoring

Biomonitoring is central to the European Union's Water Framework Directive (WFD) and to the French water and aquatic environmental law, but most diatom indices do not separate different anthropogenic impacts. To address this gap, the effect of water chemistry on diatom ecological guilds and lif...

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Main Authors: Marcel Rémy, Berthon Vincent, Castets Virginie, Rimet Frédéric, Thiers Amélie, Labat Frédéric, Fontan Bruno
Format: Article
Language:English
Published: EDP Sciences 2017-01-01
Series:Knowledge and Management of Aquatic Ecosystems
Subjects:
Online Access:https://doi.org/10.1051/kmae/2016033
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spelling doaj-424383a133ab49f79a68b12b47084d242020-11-24T22:42:46ZengEDP SciencesKnowledge and Management of Aquatic Ecosystems1961-95022017-01-010418110.1051/kmae/2016033kmae160141Modelling diatom life forms and ecological guilds for river biomonitoringMarcel RémyBerthon VincentCastets VirginieRimet FrédéricThiers AmélieLabat FrédéricFontan BrunoBiomonitoring is central to the European Union's Water Framework Directive (WFD) and to the French water and aquatic environmental law, but most diatom indices do not separate different anthropogenic impacts. To address this gap, the effect of water chemistry on diatom ecological guilds and life forms was assessed in order to indicate stream perturbations. Generalised additive models (GAMs) were built on a large-scale data set of 1571 samples from the French monitoring network. The relationships between diatom ecological guild and life form metrics were investigated by Principal components analysis and the results predicted by GAMs. The models characterised eight chemical parameters that modified adaptive strategies (ecological guilds) and growth morphology (life forms). Total phosphorus, conductivity, nitrate and pH are the main influencing factors, followed by temperature, dissolved oxygen and organic matter. The findings confirm three groups of diatoms with different adaptive strategies: 1 – fast moving species, 2 – species growing close to the substrate and 3 – species extending to the surface layers of the biofilm. Thirteen diatom metrics displayed a variety of responses to different ranges of the eight chemical parameters. These metrics could be used to help to identify and quantify which chemical alterations are caused by polluted effluents in rivers.https://doi.org/10.1051/kmae/2016033benthic diatomsecological guildsbiological traitsbiomonitoringgeneralised additive model
collection DOAJ
language English
format Article
sources DOAJ
author Marcel Rémy
Berthon Vincent
Castets Virginie
Rimet Frédéric
Thiers Amélie
Labat Frédéric
Fontan Bruno
spellingShingle Marcel Rémy
Berthon Vincent
Castets Virginie
Rimet Frédéric
Thiers Amélie
Labat Frédéric
Fontan Bruno
Modelling diatom life forms and ecological guilds for river biomonitoring
Knowledge and Management of Aquatic Ecosystems
benthic diatoms
ecological guilds
biological traits
biomonitoring
generalised additive model
author_facet Marcel Rémy
Berthon Vincent
Castets Virginie
Rimet Frédéric
Thiers Amélie
Labat Frédéric
Fontan Bruno
author_sort Marcel Rémy
title Modelling diatom life forms and ecological guilds for river biomonitoring
title_short Modelling diatom life forms and ecological guilds for river biomonitoring
title_full Modelling diatom life forms and ecological guilds for river biomonitoring
title_fullStr Modelling diatom life forms and ecological guilds for river biomonitoring
title_full_unstemmed Modelling diatom life forms and ecological guilds for river biomonitoring
title_sort modelling diatom life forms and ecological guilds for river biomonitoring
publisher EDP Sciences
series Knowledge and Management of Aquatic Ecosystems
issn 1961-9502
publishDate 2017-01-01
description Biomonitoring is central to the European Union's Water Framework Directive (WFD) and to the French water and aquatic environmental law, but most diatom indices do not separate different anthropogenic impacts. To address this gap, the effect of water chemistry on diatom ecological guilds and life forms was assessed in order to indicate stream perturbations. Generalised additive models (GAMs) were built on a large-scale data set of 1571 samples from the French monitoring network. The relationships between diatom ecological guild and life form metrics were investigated by Principal components analysis and the results predicted by GAMs. The models characterised eight chemical parameters that modified adaptive strategies (ecological guilds) and growth morphology (life forms). Total phosphorus, conductivity, nitrate and pH are the main influencing factors, followed by temperature, dissolved oxygen and organic matter. The findings confirm three groups of diatoms with different adaptive strategies: 1 – fast moving species, 2 – species growing close to the substrate and 3 – species extending to the surface layers of the biofilm. Thirteen diatom metrics displayed a variety of responses to different ranges of the eight chemical parameters. These metrics could be used to help to identify and quantify which chemical alterations are caused by polluted effluents in rivers.
topic benthic diatoms
ecological guilds
biological traits
biomonitoring
generalised additive model
url https://doi.org/10.1051/kmae/2016033
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