Back to Search
Start Over
Quantifying uncertainties in biologically-based water quality assessment: A pan-European analysis of lake phytoplankton community metrics
- 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/.
- Subjects :
- 0106 biological sciences
EUROPE
Linear mixed effects models
General Decision Sciences
Multi-model inference
ESTIMATION INCERTITUDE
Cyanobacteria
010603 evolutionary biology
01 natural sciences
Ecology and Environment
Water Framework Directive
Phytoplankton
Ecological quality assessment
14. Life underwater
Ecology, Evolution, Behavior and Systematics
Trophic level
Ecology
010604 marine biology & hydrobiology
Variance (land use)
Sampling (statistics)
15. Life on land
Eutrophication
6. Clean water
ANALYSE
13. Climate action
[SDE]Environmental Sciences
Environmental science
Metric (unit)
Water quality
Physical geography
Subjects
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⟩