
Document généré le 15/09/2025 depuis l'adresse: https://www.documentation.eauetbiodiversite.fr/fr/notice/environmental-quality-of-a-stream-can-be-better-predicted-by-phylogenetic-than-by-taxonomic-diversity
Environmental quality of a stream can be better predicted by phylogenetic than by taxonomic diversity
Titre alternatif
Producteur
Contributeur(s)
EDP Sciences
Identifiant documentaire
11-dkey/10.1051/kmae/2017007
Identifiant OAI
oai:edpsciences.org:dkey/10.1051/kmae/2017007
Auteur(s):
Paweł Koperski,Robert Meronka
Mots clés
phylogenetic diversity
taxonomic diversity
macrobenthos
environmental quality
stream
diversité phylogénétique
diversité taxonomique
macrobenthos
qualité environnementale
rivière
Date de publication
04/04/2017
Date de création
Date de modification
Date d'acceptation du document
Date de dépôt légal
Langue
en
Thème
Type de ressource
Source
https://doi.org/10.1051/kmae/2017007
Droits de réutilisation
Région
Département
Commune
Description
Different indices of taxonomic diversity (TD) and phylogenetic diversity (PD) of the macrobenthos were compared to determine the efficient predictors of environmental quality (EQ) in different types of watercourses in Poland. Archived data of 864 samples of benthic invertebrates identified to the family level were analysed on the basis of linear and non-linear multiply regression. The strengths of the correlations between two measures of EQ:BMWPpl (British Monitoring Working Party score system, Polish modification) and MMI (Multimetric Macroinvertebrate Index) and the values of taxonomic richness and three well-known TD indices: Shannon, Margalef and J' Evenness were compared to those for values of three PD indices, based on taxonomic distinctness. Taxonomic richness and all PD indices correlated more strongly with both measures of EQ than all TD indices. Correlations with both types of diversity indices were visibly stronger for BMWPpl when compared with MMI. We suggest that analysed indices of PD, especially MDis (mean phylogenetic distance between families in a sample), are related with EQ strongly enough to be taken into account as potential metrics in selection procedures of biological assessment.
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