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A European multi lake survey dataset of environmental variables, phytoplankton pigments and cyanotoxins.

Mantzouki, Evanthia; Campbell, James; Van Loon, Emiel E.; Visser, Petra; Ibelings, Bas

Authors

Evanthia Mantzouki

James Campbell

Emiel E. Van Loon

Petra Visser

Bas Ibelings



Contributors

Abstract

Under ongoing climate change and increasing anthropogenic activity, which continuously challenge ecosystem resilience, an in-depth understanding of ecological processes is urgently needed. Lakes, as providers of numerous ecosystem services, face multiple stressors that threaten their functioning. Harmful cyanobacterial blooms are a persistent problem resulting from nutrient pollution and climate-change induced stressors, like poor transparency, increased water temperature and enhanced stratification. Consistency in data collection and analysis methods is necessary to achieve fully comparable datasets and for statistical validity, avoiding issues linked to disparate data sources. The European Multi Lake Survey (EMLS) in summer 2015 was an initiative among scientists from 27 countries to collect and analyse lake physical, chemical and biological variables in a fully standardized manner. This database includes in-situ lake variables along with nutrient, pigment and cyanotoxin data of 369 lakes in Europe, which were centrally analysed in dedicated laboratories. Publishing the EMLS methods and dataset might inspire similar initiatives to study across large geographic areas that will contribute to better understanding lake responses in a changing environment.

Citation

MANTZOUKI, E., CAMPBELL, J., VAN LOON, E.E., VISSER, P. and IBELINGS, B. 2018. A European multi lake survey dataset of environmental variables, phytoplankton pigments and cyanotoxins. Scientific data [online], 5, article ID 180226. Available from: https://doi.org/10.1038/sdata.2018.226

Journal Article Type Article
Acceptance Date Jul 3, 2018
Online Publication Date Oct 23, 2018
Publication Date Dec 31, 2018
Deposit Date Nov 5, 2018
Publicly Available Date Nov 5, 2018
Journal Scientific data
Print ISSN 2052-4463
Electronic ISSN 2052-4463
Publisher Springer
Peer Reviewed Peer Reviewed
Volume 5
Article Number 180226
DOI https://doi.org/10.1038/sdata.2018.226
Keywords Climate change; Ecosystem resilience; Lakes; Ecosystem services; EMLS; Changing environment; Eutrophication; Cyanobacteria; Waters; Bloom
Public URL http://hdl.handle.net/10059/3208

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