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

Title: Data Descriptor: A European Multi Lake Survey dataset of environmental variables, phytoplankton pigments and cyanotoxins
Authors: Karan, Tunay; Yagci, Meral Apaydin; Cinar, Sakir; Capkin, Kadir; Yagci, Abdulkadir; Cesur, Mehmet; Bilgin, Fuat; Bulut, Cafer; Uysal, Rahmi; Albay, Meric; Alp, Mehmet Tahir; Ozkan, Korhan; Sevindik, Tugba Ongun; Tunca, Hatice; Onem, Burcin; Richardson, Jessica; Edwards, Christine; Bergkemper, Victoria; O'Leary, Sarah; Beirne, Eilish; Cromie, Hannah; Ibelings, Bastiaan W.; Akcaalan, Reyhan; Koker, Latife; Walusiak, Edward; Gagala, Ilona; Mankiewicz-Boczek, Joana; Drastichova, Iveta; Chomova, Lucia; Remec-Rekar, Spela; Mantzouki, Evanthia; Campbell, James; van Loon, Emiel; Visser, Petra; Konstantinou, Iosif; Antoniou, Maria; Giuliani, Gregory; Machado-Vieira, Danielle; de Oliveira, Alinne Gurjao; Maronic, Dubravka Spoljaric; Stevic, Filip; Pfeiffer, Tanja Zuna; Vucelic, Itana Bokan; Zutinic, Petar; Udovic, Marija Gligora; Plenkovic-Moraj, Andelka; Tsiarta, Nikoletta; Blaha, Ludek; Geris, Rodan; Frankova, Marketa
Contributors: Polish Academy of Sciences ,; 1652556
Publication Year: 2021
Subject Terms: ÇOK DİSİPLİNLİ BİLİMLER; Doğa Bilimleri Genel; Temel Bilimler (SCI); Temel Bilimler; Multidisciplinary; envir
Description: 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.
Document Type: article in journal/newspaper
Language: English
Relation: https://hdl.handle.net/20.500.12627/98684
Availability: https://hdl.handle.net/20.500.12627/98684
Rights: undefined
Accession Number: edsbas.1D6255CE
Database: BASE