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

Mantzouki, Evanthia ; Hansson, Lars-Anders LU ; Cordero Urrutia, Pablo LU ; Ibelings, Bastiaan W. and , (2018) In Scientific Data 5.
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... (More)
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. © The Author(s) 2018. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Scientific Data
volume
5
publisher
Nature Publishing Group
external identifiers
  • scopus:85055198053
ISSN
2052-4463
DOI
10.1038/sdata.2018.226
language
English
LU publication?
yes
id
b01cd773-6942-4f88-b406-bbae826ae975
date added to LUP
2018-11-15 12:37:50
date last changed
2019-08-14 04:27:21
@article{b01cd773-6942-4f88-b406-bbae826ae975,
  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. © The Author(s) 2018.},
  author       = {Mantzouki, Evanthia  and Hansson, Lars-Anders and Cordero Urrutia, Pablo and Ibelings, Bastiaan W.  and , },
  issn         = {2052-4463},
  language     = {eng},
  publisher    = {Nature Publishing Group},
  series       = {Scientific Data},
  title        = {A European Multi Lake Survey dataset of environmental variables, phytoplankton pigments and cyanotoxins},
  url          = {http://dx.doi.org/10.1038/sdata.2018.226},
  volume       = {5},
  year         = {2018},
}