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Oxycline depth

Oxycline depth. B-BLOOMS 2 Cyanobacterial Blooms in Belgian Surface Waters.

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Oxycline depth

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  1. Oxycline depth B-BLOOMS 2 Cyanobacterial Blooms in Belgian Surface Waters PIRLOT (1), Samuel, Bruno, LEPORCQ (1), Wim, VYVERMAN (2), Jeroen, VAN WICHELEN (2), Pieter, VANORMELINGEN (2), Ineke, VANGREMBERGHE (2), Ludvig, TRIEST (3), Anatoly, PERETYATKO (3), Annick, WILMOTTE (4), Yannick, LARA (4), Geoffrey A., CODD (5) & Jean-Pierre, DESCY (1) • FUNDP - Unité de Recherches en Biologie des Organismes (URBO). Rue de Bruxelles 61, 5000 Namur, Belgique. jean-pierre.descy@fundp.ac.be • Ghent University - Protistology and Aquatic Ecology (PAE) Krijgslaan 281 S8, 9000 Ghent, BELGIQUE. wim.vyverman@ugent.be • Vrije Universiteit Brussel - Plant Science and Nature Management Pleinlaan 2, 1050 Brussel, BELGIQUE. ltriest@vub.ac.be • Université de Liège – Center for Protein Engineering (CIP) Sart Tilman B6, 4000 Liège, Belgique. awilmotte@ulg.ac.be • University of Dundee, College of Life Sciences, Dundee DD15EH. United Kingdom. g.a.codd@dundee.ac.uk Phytoplankton analyses Environmental parameters The B-BLOOMS 2 project aims through a multi-disciplinary approach to deepen knowledge of the cyanobacterial blooms in Belgium, improve modelling for the prediction and early-warning of blooms, develop operational monitoring structures and tools, and propose strategies to reduce the impact of nuisance and harmful blooms. Toxin analysis & risk management Chromatogram of microcystins analysed by HPLC Molecular analyses Data processing and modelling ANN Modeling Clone libraries Microcystin gene detection Correlation between predicted cyanobacterial biomass (Chla equivalent) and measured values, for the 3 pre-dam lakes of Eau d’Heure (2002-2004) Clone library composition, based on the BLAST analysis of the sequences mcyB and E PCR (DNA template) Contribution of variables to the prediction (same as above); ND wo HW = number of days without high wind. The data analysis using CCA shows a significant effect of large zooplancton on phytoplankton structure and on cyanobacterial abundance Results Here are some results from the B-Blooms 2 project which is still running. The three teams involved in regular field sampling (FUNDP, UGent and VUB) have adopted common standard procedures for monitoring environmental parameters and plankton in a range of freshwater bodies of increasing trophic status, thereby covering a range of lakes in which cyanobacterial blooms develop to varying degrees. As an example of the power of combining multidisciplinary approaches to cyanobacterial bloom- and cyanotoxin research in a single project, we can cite the preliminary results in Flanders (UGent), which show that both reference lakes suffer heavily from cyanobacterial blooms, but with contrasting bloom dynamics and species. The intensive sampling at the cyanobacterial community and population levels (both selectively neutral and microcystin genes) enables detailed investigation of bloom dynamics at both levels (and possible interactions) and the major abiotic and biotic factors governing them. These findings are expected to strenghthen the basis for strategic decision-making in the management of Belgian waterbodies affected by cyanobacterial blooms. DGGE DGGE banding patterns(samples from Eau d'Heure lakes: Falemprise from May to September; Ri Jaune from July to August; Féronval from August) www.bblooms.be

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