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

Thackeray, Stephen J. and Nõges, Peeter and Dunbar, Michael J. and Dudley, Bernard J. and Skjelbred, Birger and Morabito, Giuseppe and Carvalho, Laurence and Phillips, Geoff and Mischke, Ute and Catalan, Jordi and de Hoyos, Caridad and Laplace, Christophe and Austoni, Martina and Padedda, Bachisio Mario and Maileht, Kairi and Pasztaleniec, Agnieszka and Järvinen, Marko and Solheim, Anne Lyche and Clarke, Ralph T. (2013) Quantifying uncertainties in biologically-based water quality assessment: a pan-European analysis of lake phytoplankton community metrics. Ecological Indicators, Vol. 29 , p. 34-47. eISSN 1872-7034. Article.

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DOI: 10.1016/j.ecolind.2012.12.010

Abstract

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 (<4%), with sub-samples and analysts accounting for much of the within-lake metric variance. This indicates that a single sampling location is representative and suggests that sub-sample replication and standardisation of analyst procedures should result in increased precision of ecological assessments based upon these metrics.
For three phytoplankton metrics being used in the WFD: chlorophyll a concentration, the Phytoplankton Trophic Index (PTI) and cyanobacterial biovolume, >85% of the variance in metric scores was among-lakes and total phosphorus concentration was well supported as a predictor of this variation. Based upon this study, we can recommend that these three proposed metrics can be considered sufficiently robust for the ecological status assessment of European lakes in WFD monitoring schemes.

Item Type:Article
ID Code:8520
Status:Published
Refereed:Yes
Uncontrolled Keywords:Cyanobacteria, ecological quality assessment, eutrophication, linear mixed effects models, multi-model inference, water framework directive
Subjects:Area 05 - Scienze biologiche > BIO/07 Ecologia
Divisions:001 Università di Sassari > 01-a Nuovi Dipartimenti dal 2012 > Scienze della Natura e del Territorio
Publisher:Elsevier
eISSN:1872-7034
Deposited On:21 Jan 2013 10:21

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