caa a22 4500 463194705 CHVBK 20180406164919.0 cr unu---uuuuu 170326e20070301xx s 000 0 eng 10.1007/s10669-007-9023-x doi (NATIONALLICENCE)springer-10.1007/s10669-007-9023-x Patternising phytoplankton dynamics of two shallow lakes in response to restoration measures by applying non-supervised artificial neural networks [Elektronische Daten] [A. Talib, F. Recknagel, D. van der Molen] Long-term time-series data sets of two shallow Dutch lakes, Lake Veluwemeer and Lake Wolderwijd were subjected to ordination and clustering by means of non-supervised artificial neural networks (ANN). Splitting of the data sets into sub-series corresponding with three different management periods have allowed a comparative analysis of both the short-term seasonal and long-term phytoplankton dynamics in relation to the restoration measures. The lakes were considered as hyper-eutrophic and have been managed both with bottom-up and top-down management approaches. Results of the study have demonstrated that non-supervised ANN allow to elucidate causal relationships of complex ecological processes (1) within the specific genus, Oscillatoria and Scenedesmus and (2) the combination of external nutrient control and in-lake food web manipulation of the two lakes achieved to control eutrophication. Springer Science+Business Media, LLC, 2007 Bottom-up management nationallicence Eutrophication nationallicence Non-supervised ANN nationallicence Oscillatoria nationallicence Scenedesmus nationallicence Shallow lakes nationallicence Top-down management nationallicence Talib A. School of Earth and Environmental Sciences, University of Adelaide, 5005, Adelaide, Australia aut Recknagel F. School of Earth and Environmental Sciences, University of Adelaide, 5005, Adelaide, Australia aut van der Molen D. Institute of Inland Water Management, 8200 AA, Lelystad, The Netherlands aut The Environmentalist Kluwer Academic Publishers-Plenum Publishers; http://www.springer-ny.com 27/1(2007-03-01), 195-205 0251-1088 27:1<195 2007 27 10669 https://doi.org/10.1007/s10669-007-9023-x text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10669-007-9023-x text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Talib A. School of Earth and Environmental Sciences, University of Adelaide, 5005, Adelaide, Australia aut NATIONALLICENCE 700 1- Recknagel F. School of Earth and Environmental Sciences, University of Adelaide, 5005, Adelaide, Australia aut NATIONALLICENCE 700 1- van der Molen D. Institute of Inland Water Management, 8200 AA, Lelystad, The Netherlands aut NATIONALLICENCE 773 0- The Environmentalist Kluwer Academic Publishers-Plenum Publishers; http://www.springer-ny.com 27/1(2007-03-01), 195-205 0251-1088 27:1<195 2007 27 10669 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer