Literature DB >> 24342490

Water quality assessment of rivers using diatom metrics across Mediterranean Europe: a methods intercalibration exercise.

Salomé F P Almeida1, Carmen Elias2, João Ferreira3, Elisabet Tornés4, Camilla Puccinelli5, François Delmas6, Gerald Dörflinger7, Gorazd Urbanič8, Stefania Marcheggiani5, Juliette Rosebery6, Laura Mancini5, Sergi Sabater4.   

Abstract

The European Water Framework Directive establishes a framework for the protection of water resources. However, common water management tools demand common understanding of assessment methods, so quality goals are equally met. Intercalibration of methods ensures the comparability of biological elements across similar geographical areas. Many aspects can influence the outcome of intercalibration: data sampling, treatment methods, taxonomic reliability of databases, choice of metrics for ecological quality status classification, and criteria for selecting reference sites. This study describes the potentials and constraints of the intercalibration of indices using diatoms for assessment of Mediterranean rivers. Harmonisation of diatom taxonomy and nomenclature was based on a previous ring test which took place at the European level. Four diatom indices (Indice de Polluosensibilité Spécifique-IPS, Indice Biologique Diatomées-IBD 2007, Intercalibration Common Metric Italy-ICMi and Slovenian Ecological Status assessment system) were intercalibrated using data from six European Mediterranean countries (Cyprus, France, Italy, Portugal, Slovenia and Spain). Boundaries between High/Good and Good/Moderate quality classes were harmonised by means of the Intercalibration Common Metric (ICM). Comparability between countries was assured through boundary bias and class agreement. The national boundaries were adjusted when they deviated more than a quarter of a class equivalent (0.25) from the global mean. All national methods correlated well with the ICM, which was sensitive to water quality (negatively correlated to nutrients). Achnanthidium minutissimum sensu lato was the most discriminative species of Good ecological status class. Planothidium frequentissimum, Gomphonema parvulum and Nitzschia palea were the most contributive to Moderate ecological status class. Some taxa were discriminative for both Good and Moderate ecological status classes due to low indication and ecological discriminative power but also due to differences in taxonomy between countries. This intercalibration exercise allowed establishment of common water quality goals across Mediterranean Europe, which is substantiated with the ICM.
Copyright © 2013 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Benthic diatoms; Ecological quality assessment; European Water Framework Directive; Intercalibration; Mediterranean rivers

Mesh:

Year:  2013        PMID: 24342490     DOI: 10.1016/j.scitotenv.2013.11.144

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  4 in total

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Authors:  Mingcen Jiang; Yeyao Wang; Qi Yang; Fansheng Meng; Zhipeng Yao; Peixuan Cheng
Journal:  Environ Monit Assess       Date:  2018-03-30       Impact factor: 2.513

2.  The Biological Assessment and Rehabilitation of the World's Rivers: An Overview.

Authors:  Maria João Feio; Robert M Hughes; Marcos Callisto; Susan J Nichols; Oghenekaro N Odume; Bernardo R Quintella; Mathias Kuemmerlen; Francisca C Aguiar; Salomé F P Almeida; Perla Alonso-EguíaLis; Francis O Arimoro; Fiona J Dyer; Jon S Harding; Sukhwan Jang; Philip R Kaufmann; Samhee Lee; Jianhua Li; Diego R Macedo; Ana Mendes; Norman Mercado-Silva; Wendy Monk; Keigo Nakamura; George G Ndiritu; Ralph Ogden; Michael Peat; Trefor B Reynoldson; Blanca Rios-Touma; Pedro Segurado; Adam G Yates
Journal:  Water (Basel)       Date:  2021-01-31       Impact factor: 3.103

3.  A Patented Rapid Method for Identification of Italian Diatom Species.

Authors:  Camilla Puccinelli; Stefania Marcheggiani; Laura Mancini
Journal:  Int J Environ Res Public Health       Date:  2019-10-16       Impact factor: 3.390

4.  Sediment-associated microbial community profiling: sample pre-processing through sequential membrane filtration for 16S rRNA amplicon sequencing.

Authors:  Joeselle M Serrana; Kozo Watanabe
Journal:  BMC Microbiol       Date:  2022-01-20       Impact factor: 3.605

  4 in total

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