Back to Search Start Over

Quantifying uncertainties in biologically-based water quality assessment: A pan-European analysis of lake phytoplankton community metrics

Authors :
Ralph T. Clarke
Geoff Phillips
Birger Skjelbred
Michael J. Dunbar
Laurence Carvalho
Anne Lyche Solheim
Stephen J. Thackeray
Caridad de Hoyos
Peeter Nõges
Martina Austoni
Agnieszka Pasztaleniec
Jordi Catalan
Bachisio Mario Padedda
Ute Mischke
Bernard Dudley
Christophe Laplace
Marko Järvinen
Kairi Maileht
Giuseppe Morabito
CENTRE FOR ECOLOGY AND HYDROLOGY LANCASTER GBR
Partenaires IRSTEA
Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)
CENTRE FOR LIMNOLOGY INSTITUTE OF AGRICULTURAL AND ENVIRONMENTAL SCIENCES OF ESTONIAN UNIVERSITY OF LIFE SCIENCES EST
CENTRE FOR ECOLOGY AND HYDROLOGY WALLINGFORD GBR
CENTRE FOR ECOLOGY AND HYDROLOGY PENICUIK GBR
NORSK INSTITUTT FOR VANNFORSKNING OSLO NOR
CNR INSTITUTE FOR ECOSYSTEMS STUDY VERBANIA PALLANZA ITA
ENVIRONMENT AGENCY READING GBR
LEIBNIZ INSTITUTE OF FRESHWATER ECOLOGY AND INLAND FISHERIES BERLIN DEU
CENTER FOR ADVANCED STUDIES OF BLANES ESP
CENTRO DE ESTUDIOS HIDROGRAFICOS DEL CEDEX MADRID ESP
Réseaux épuration et qualité des eaux (UR REBX)
Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)
University of Sassari
INSTITUTE OF ENVIRONMENTAL PROTECTION WARSZAWA POL
SYKE FINNISH ENVIRONMENT INSTITUTE JYVASKYLA FIN
CONSERVATION ECOLOGY AND ENVIRONMENTAL SCIENCES SCHOOL OF APPLIED SCIENCES DORSET GBR
Source :
National Information Processing Institute, Ecological Indicators, Ecological Indicators, Elsevier, 2013, 29, pp.34-47. ⟨10.1016/j.ecolind.2012.12.010⟩, Digital.CSIC. Repositorio Institucional del CSIC, instname
Publication Year :
2013
Publisher :
Elsevier, 2013.

Abstract

14 páginas, 6 figuras, 4 tablas.<br />Lake phytoplankton are adopted world-wide as a sensitive indicator of water quality. European environmental legislation, the EU Water Framework Directive (WFD), formalises this, requiring the use of phytoplankton to assess the ecological status of lakes and coastal waters. Here we provide a rigorous assessment of a number of proposed phytoplankton metrics for assessing the ecological quality of European lakes, specifically in response to nutrient enrichment, or eutrophication, the most widespread pressure affecting lakes. To be useful indicators, metrics must have a small measurement error relative to the eutrophication signal we want them to represent among lakes of different nutrient status. An understanding of variability in metric scores among different locations around a lake, or due to sampling and analytical variability can also identify how best this measurement error is minimised. To quantify metric variability, we analyse data from a multi-scale field campaign of 32 European lakes, resolving the extent to which seven phytoplankton metrics (including chlorophyll a, the most widely used metric of lake quality) vary among lakes, among sampling locations within a lake and through sample replication and processing. We also relate these metrics to environmental variables, including total phosphorus concentration as an indicator of eutrophication. For all seven metrics, 65–96% of the variance in metric scores was among lakes, much higher than variability occurring due to sampling/sample processing. Using multi-model inference, there was strong support for relationships between among-lake variation in three metrics and differences in total phosphorus concentrations. Three of the metrics were also related to mean lake depth. Variability among locations within a lake was minimal (<br />This paper is a result of the project WISER (Water bodies in Europe: Integrative Systems to assess Ecological status and Recovery) funded by the European Union under the 7th Framework Programme, Theme 6 (Environment including Climate Change) (contract No. 226273), http://www.wiser.eu/.

Details

Language :
English
ISSN :
1470160X
Database :
OpenAIRE
Journal :
National Information Processing Institute, Ecological Indicators, Ecological Indicators, Elsevier, 2013, 29, pp.34-47. ⟨10.1016/j.ecolind.2012.12.010⟩, Digital.CSIC. Repositorio Institucional del CSIC, instname
Accession number :
edsair.doi.dedup.....501522208b57e5c220dc2edc3aa175ee
Full Text :
https://doi.org/10.1016/j.ecolind.2012.12.010⟩