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

dc.contributor.authorMantzouki, Evanthia
dc.contributor.authorCampbell, James
dc.contributor.authorvan Loon, Emiel
dc.contributor.authorVisser, Petra
dc.contributor.authorKonstantinou, Iosif
dc.contributor.authorAntoniou, Maria
dc.contributor.authorGiuliani, Gregory
dc.contributor.authorMachado-Vieira, Danielle
dc.contributor.authorÇelik, Kemal
dc.date.accessioned2019-06-13T06:48:33Z
dc.date.available2019-06-13T06:48:33Z
dc.date.issued2018en_US
dc.departmentFakülteler, Fen-Edebiyat Fakültesi, Biyoloji Bölümüen_US
dc.descriptionÇelik, Kemal (Balikesir Author)en_US
dc.description.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 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.en_US
dc.description.sponsorshipSwiss State Secretariat for Education, Research and Innovation (SERI) University of Geneva University of Amsterdam Leibniz Association University of Wageningen Environmental Data Initiative Department of Agriculture, Environment and Rural Affairs, Northern Ireland COST Action -ES 1105 ES 1201en_US
dc.identifier.doi10.1038/sdata.2018.226
dc.identifier.endpage13en_US
dc.identifier.scopus2-s2.0-85055198053
dc.identifier.scopusqualityQ1
dc.identifier.startpage1en_US
dc.identifier.urihttps://doi.org/10.1038/sdata.2018.226
dc.identifier.urihttps://hdl.handle.net/20.500.12462/5434
dc.identifier.volume5en_US
dc.identifier.wosWOS:000448057000002
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.language.isoenen_US
dc.publisherNature Publishingen_US
dc.relation.ispartofScientific Dataen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.rightsAttribution 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/us/*
dc.subjectClimate-Changeen_US
dc.subjectEutrophicationen_US
dc.subjectCyanobacteriaen_US
dc.subjectWatersen_US
dc.subjectBloomen_US
dc.titleA European Multi Lake Survey dataset of environmental variables, phytoplankton pigments and cyanotoxinsen_US
dc.typeArticleen_US

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