http://www.cnr.it/ontology/cnr/individuo/prodotto/ID281532

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

Type

Articolo in rivista (Classe)
Prodotto della ricerca (Classe)

Label

Quantifying uncertainties in biologically-based water quality assessment: A pan-European analysis of lake phytoplankton community metrics (Articolo in rivista) (literal)

Anno

2013-01-01T00:00:00+01:00 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi

10.1016/j.ecolind.2012.12.010 (literal)

Alternative label

Stephen J. Thackeray; Peeter Noges; Michael J. Dunbar; Bernard J. Dudley; Birger Skjelbred; Giuseppe Morabito; Laurence Carvalho; Geoff Phillips; Ute Mischke; Jordi Catalan; Caridad de Hoyos; Christophe Laplace; Martina Austoni; Bachisio M. Padedda; Kairi Maileht; Agnieszka Pasztaleniec; Marko Jarvinen; Anne L. Solheim; Ralph T. Clarke (2013)
Quantifying uncertainties in biologically-based water quality assessment: A pan-European analysis of lake phytoplankton community metrics
in Ecological indicators; Elsevier Ltd, Oxford (Regno Unito)
(literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori

Stephen J. Thackeray; Peeter Noges; Michael J. Dunbar; Bernard J. Dudley; Birger Skjelbred; Giuseppe Morabito; Laurence Carvalho; Geoff Phillips; Ute Mischke; Jordi Catalan; Caridad de Hoyos; Christophe Laplace; Martina Austoni; Bachisio M. Padedda; Kairi Maileht; Agnieszka Pasztaleniec; Marko Jarvinen; Anne L. Solheim; Ralph T. Clarke (literal)

Pagina inizio

34 (literal)

Pagina fine

47 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume

29 (literal)

Rivista

Ecological indicators (Rivista)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali

14 (literal)

Note

ISI Web of Science (WOS) (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni

Thackeray, Stephen J. : Centre for Ecology & Hydrology, Lancaster Environment Centre, Library Avenue, Bailrigg, Lancaster LA1 4AP, UK Noges, Peeter: Centre for Limnology, Institute of Agricultural and Environmental Sciences, Estonian University of Life Sciences, 61117 Rannu, Tartumaa, Estonia Dunbar, Michael J. : Centre for Ecology & Hydrology, Maclean Building, Benson Lane, Crowmarsh Gifford, Wallingford, Oxfordshire OX10 8BB, UK Dudley, Bernard J.: Centre for Ecology & Hydrology, Bush Estate, Penicuik, Midlothian EH26 0QB, UK Skjelbred, Birger: Norsk Institutt for Vannforskning, Gaustadalléen 21, NO-0349 Oslo, Norway Morabito, Giuseppe: CNR-ISE, Pallanza Verbania Carvalho, Laurence: Centre for Ecology & Hydrology, Bush Estate, Penicuik, Midlothian EH26 0QB, UK Phillips, Geoff: Environment Agency, Kings Meadow House, Kings Meadow Road, Reading RG1 8DQ, UK Mischke, Ute: Leibniz Institute of Freshwater Ecology and Inland Fisheries, Justus-von-Liebig-Straße 7, 12489 Berlin, Germany Catalan, Jordi: Center for Advanced Studies of Blanes (CEAB-CSIC), Accés Cala St. Francesc 14, Blanes 17300, Spain De Hoyos, Caridad: Centro de Estudios Hidrográficos del CEDEX, PO Bajo de la Virgen del Puerto 3, 28005 Madrid, Spain Laplace, Christophe: Research Institute for Agricultural and Environmental Engineering, CEMAGREF, av de Verdun 50, 33612 Cestas-Gazinet, France Austoni, Martina: CNR-ISE, Pallanza Verbania Padedda, Bachisio M.: University of Sassari, Department of Sciences for Nature and Territory, Località Piandanna, 07100 Sassari, Italy Maileht, Kairi: Centre for Limnology, Institute of Agricultural and Environmental Sciences, Estonian University of Life Sciences, 61117 Rannu, Tartumaa, Estonia Pasztaleniec, Agnieszka: Institute of Environmental Protection-National Research Institute, 01-692 Warszawa, Kolektorska 4, Poland Järvinen, Marko: Finnish Environment Institute (SYKE), The Jyväskylä Office, Survontie 9, FI-40500 Jyväskylä, Finland Solheim, Anne Lyche: Norsk Institutt for Vannforskning, Gaustadalléen 21, NO-0349 Oslo, Norway Clarke, Ralph T.: Conservation Ecology and Environmental Sciences (CEES), School of Applied Sciences, Bournemouth University, Talbot Campus, Fern Barrow, Poole, Dorset BH12 5BB, UK (literal)

Titolo

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

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. (literal)

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