Pregled bibliografske jedinice broj: 965914
A European Multi Lake Survey dataset of environmental variables, phytoplankton pigments and cyanotoxins
A European Multi Lake Survey dataset of environmental variables, phytoplankton pigments and cyanotoxins // Scientific Data, 5 (2018), 180226, 13 doi:10.1038/sdata.2018.226 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 965914 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
A European Multi Lake Survey dataset of environmental variables, phytoplankton pigments and cyanotoxins
Autori
Mantzouki, Evanthia ; ... ; Špoljarić Maronić, Dubravka ; Stević, Filip ; Žuna Pfeiffer, Tanja ; Vucelić, Itana Bokan ; Žutinić, Petar ; Gligora Udovič, Marija ; Plenković-Moraj, Anđelka ; ... ; Ibelings, Bastiaan W.
Izvornik
Scientific Data (2052-4463) 5
(2018);
180226, 13
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
dataset ; environmental variables ; phytoplankton ; pigments ; cyanotoxins
Sažetak
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.
Izvorni jezik
Engleski
Znanstvena područja
Biologija
POVEZANOST RADA
Ustanove:
Prirodoslovno-matematički fakultet, Zagreb,
Sveučilište J. J. Strossmayera u Osijeku
Profili:
Marija Gligora Udovič
(autor)
Petar Žutinić
(autor)
Tanja Žuna Pfeiffer
(autor)
Filip Stević
(autor)
Dubravka Špoljarić Maronić
(autor)
Anđelka Plenković-Moraj
(autor)
Citiraj ovu publikaciju:
Časopis indeksira:
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus
- MEDLINE