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Site-specific chlorophyll reference conditions for lakes in Northern and Western Europe
Authors:Laurence Carvalho  Angelo G Solimini  Geoff Phillips  Olli-Pekka Pietiläinen  Jannicke Moe  Ana Cristina Cardoso  Anne Lyche Solheim  Ingmar Ott  Martin Søndergaard  Gianni Tartari  Seppo Rekolainen
Institution:1. Centre for Ecology & Hydrology (CEH), Bush Estate, Penicuik, Midlothian, EH26 0QB, UK
2. DG Joint Research Centre (JRC), Institute for Environment and Sustainability, European Commission, 21020, Ispra, VA, Italy
3. Environment Agency (EA), Kings Meadow House, Kings Meadow Road, Reading, RG1 8DQ, UK
4. Finnish Environment Institute (SYKE), Mechelininkatu 34a, P. O. Box 140, 00251, Helsinki, Finland
5. Norwegian Institute for Water Research (NIVA), Gaustadalléen 21, 0349, Oslo, Norway
6. Estonian University of Life Sciences, Centre for Limnology, Rannu Municipality, 61117, Tartu, Tartu County, Estonia
7. National Environmental Research Institute (NERI), Aarhus University, Vejls?vej 25, P. O. Box 314, 8600, Silkeborg, Denmark
8. Istituto di Ricerca Sulle Acque (IRSA), Via del Mulino, 19, 20047, Brugherio, Italy
Abstract:The Water Framework Directive (WFD) requires EU Member States to assess the “ecological status” of surface waters. As a component of ecological status, many European countries are developing a classification scheme for chlorophyll concentrations as a measure of phytoplankton biomass. The chlorophyll classification must be based on the degree of divergence of a water body from an appropriate baseline or ‘reference condition’. This article describes the development of a series of regression models for predicting reference chlorophyll concentrations on a site-specific basis. For model development, a large dataset of European lakes considered to be in reference condition, 466 lakes in total, was assembled. Data were included from 12 European countries, but lakes from Northern and Western Europe dominated and made up 92% of all reference lakes. Data have been collated on chlorophyll concentration, altitude, mean depth, alkalinity, humic type, surface area and geographical region. Regression models were developed for estimating site-specific reference chlorophyll concentrations from significant predictor ‘typology’ variables. Reference chlorophyll concentrations were found to vary along a number of environmental gradients. Concentrations increased with colour and alkalinity and decreased with lake depth and altitude. Forward selection was used to identify independent explanatory variables in regression models for predicting site-specific reference chlorophyll concentrations. Depth was selected as an explanatory variable in all models. Alkalinity was included in models for low colour and humic lakes and altitude was included in models for low colour and very humic lakes. Uncertainty in the models was quite high and arises from errors in the data used to develop the models (including natural temporal and spatial variability in data) and also from additional explanatory variables not considered in the models, particularly nutrient concentrations, retention time and grazing. Despite these uncertainties, site-specific reference conditions are still recommended in preference to type-specific reference conditions, as they use the individual characteristics of a site known to influence phytoplankton biomass, rather than adopt standards set to generally represent a large population of lakes of a particular type. For this reason, site-specific reference conditions should result in reduced error in ecological status classifications, particularly for lakes close to typology boundaries.
Keywords:Phytoplankton  Lake  Water Framework Directive  Baseline
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