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A European Multi Lake Survey dataset of environmental variables, phytoplankton pigments and cyanotoxins

AbstractUnder 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 includesin-situlake 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.
- Lund University Sweden
- Leibniz Association Germany
- University of Lisbon Portugal
- Wageningen University & Research Netherlands
- Medical University of Warsaw Poland
Ecologia dels llacs, Water resources, Aquatic Ecology and Water Quality Management, thermocline, vesien tila, phytoplankton pigments, EMLS, ympäristön tila, BU Contaminants & Toxins, RIKILT - Business unit Contaminanten & Toxines, hydrobiology, Limnology, lakes, Climate change, biological pigments, Canvi climàtic, Global environmental change, Survey, Climate-Change, Climate-change ecology, plankton, Eutrophication, Europe, data, international, Bloom, ecology, Europa, environmental variables, Leerstoelgroep Aquatische ecologie en waterkwaliteitsbeheer, Biological pigments, Fitoplàncton, Cyanotoxins, RIKILT - Business unit Contaminants & Toxins, BU Contaminanten & Toxines, ta1172, observation design, Cyanobacteria, järvet, 333, cyanotoxins, Ecosystem services, Life Science, Database creation objective, database creation objective, syanobakteerit, WIMEK, data analysis objective, datasets, nutrient, muuttujat, Climatic changes, Aquatische Ecologie en Waterkwaliteitsbeheer, mikrolevät, Environmental variables, Phytoplankton pigments, Climatic change, Lakes, Changing environment, Phytoplankton, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Ecosystem resilience, Lake ecology, Waters, Canvis climàtics, udc: udc:574, ddc: ddc:550, ddc: ddc:333.7-333.9
Ecologia dels llacs, Water resources, Aquatic Ecology and Water Quality Management, thermocline, vesien tila, phytoplankton pigments, EMLS, ympäristön tila, BU Contaminants & Toxins, RIKILT - Business unit Contaminanten & Toxines, hydrobiology, Limnology, lakes, Climate change, biological pigments, Canvi climàtic, Global environmental change, Survey, Climate-Change, Climate-change ecology, plankton, Eutrophication, Europe, data, international, Bloom, ecology, Europa, environmental variables, Leerstoelgroep Aquatische ecologie en waterkwaliteitsbeheer, Biological pigments, Fitoplàncton, Cyanotoxins, RIKILT - Business unit Contaminants & Toxins, BU Contaminanten & Toxines, ta1172, observation design, Cyanobacteria, järvet, 333, cyanotoxins, Ecosystem services, Life Science, Database creation objective, database creation objective, syanobakteerit, WIMEK, data analysis objective, datasets, nutrient, muuttujat, Climatic changes, Aquatische Ecologie en Waterkwaliteitsbeheer, mikrolevät, Environmental variables, Phytoplankton pigments, Climatic change, Lakes, Changing environment, Phytoplankton, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Ecosystem resilience, Lake ecology, Waters, Canvis climàtics, udc: udc:574, ddc: ddc:550, ddc: ddc:333.7-333.9
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