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. 2018 Oct 23:5:180226.
doi: 10.1038/sdata.2018.226.

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

Evanthia Mantzouki  1 , James Campbell  2 , Emiel van Loon  3 , Petra Visser  3 , Iosif Konstantinou  4 , Maria Antoniou  4 , Grégory Giuliani  5 , Danielle Machado-Vieira  6 , Alinne Gurjão de Oliveira  6 , Dubravka Špoljarić Maronić  7 , Filip Stević  7 , Tanja Žuna Pfeiffer  7 , Itana Bokan Vucelić  8 , Petar Žutinić  9 , Marija Gligora Udovič  9 , Anđelka Plenković-Moraj  9 , Nikoletta Tsiarta  4 , Luděk Bláha  10 , Rodan Geriš  11 , Markéta Fránková  12 , Kirsten Seestern Christoffersen  13 , Trine Perlt Warming  13 , Tõnu Feldmann  14 , Alo Laas  14 , Kristel Panksep  14 , Lea Tuvikene  14 , Kersti Kangro  14   15 , Kerstin Häggqvist  16 , Pauliina Salmi  17 , Lauri Arvola  18 , Jutta Fastner  19 , Dietmar Straile  20 , Karl-Otto Rothhaupt  20 , Jeremy Fonvielle  21 , Hans-Peter Grossart  21   22 , Christos Avagianos  23 , Triantafyllos Kaloudis  23 , Theodoros Triantis  24 , Sevasti-Kiriaki Zervou  24 , Anastasia Hiskia  24 , Spyros Gkelis  25 , Manthos Panou  25 , Valerie McCarthy  26 , Victor C Perello  26 , Ulrike Obertegger  27 , Adriano Boscaini  27 , Giovanna Flaim  27 , Nico Salmaso  27 , Leonardo Cerasino  27 , Judita Koreivienė  28 , Jūratė Karosienė  28 , Jūratė Kasperovičienė  28 , Ksenija Savadova  28 , Irma Vitonytė  28 , Sigrid Haande  29 , Birger Skjelbred  29 , Magdalena Grabowska  30 , Maciej Karpowicz  30 , Damian Chmura  31 , Lidia Nawrocka  32 , Justyna Kobos  33 , Hanna Mazur-Marzec  33 , Pablo Alcaraz-Párraga  34 , Elżbieta Wilk-Woźniak  35 , Wojciech Krztoń  35 , Edward Walusiak  35 , Ilona Gagala  36 , Joana Mankiewicz-Boczek  36 , Magdalena Toporowska  37 , Barbara Pawlik-Skowronska  37 , Michał Niedźwiecki  37 , Wojciech Pęczuła  37 , Agnieszka Napiórkowska-Krzebietke  38 , Julita Dunalska  39 , Justyna Sieńska  39 , Daniel Szymański  39 , Marek Kruk  40 , Agnieszka Budzyńska  41 , Ryszard Goldyn  41 , Anna Kozak  41 , Joanna Rosińska  41 , Elżbieta Szeląg-Wasielewska  41 , Piotr Domek  41 , Natalia Jakubowska-Krepska  41 , Kinga Kwasizur  42 , Beata Messyasz  42 , Aleksandra Pełechata  42 , Mariusz Pełechaty  42 , Mikolaj Kokocinski  42 , Beata Madrecka  43 , Iwona Kostrzewska-Szlakowska  44 , Magdalena Frąk  45 , Agnieszka Bańkowska-Sobczak  46 , Michał Wasilewicz  46 , Agnieszka Ochocka  47 , Agnieszka Pasztaleniec  47 , Iwona Jasser  48 , Ana M Antão-Geraldes  49 , Manel Leira  50 , Armand Hernández  51 , Vitor Vasconcelos  52 , João Morais  52 , Micaela Vale  52 , Pedro M Raposeiro  53 , Vítor Gonçalves  53 , Boris Aleksovski  54 , Svetislav Krstić  54 , Hana Nemova  55 , Iveta Drastichova  55 , Lucia Chomova  55 , Spela Remec-Rekar  56 , Tina Elersek  57 , Jordi Delgado-Martín  58 , David García  58 , Jose Luís Cereijo  58 , Joan Gomà  59 , Mari Carmen Trapote  59 , Teresa Vegas-Vilarrúbia  59 , Biel Obrador  59 , Ana García-Murcia  60 , Monserrat Real  60 , Elvira Romans  60 , Jordi Noguero-Ribes  60 , David Parreño Duque  60 , Elísabeth Fernández-Morán  60 , Bárbara Úbeda  61 , José Ángel Gálvez  61 , Rafael Marcé  62 , Núria Catalán  62 , Carmen Pérez-Martínez  63 , Eloísa Ramos-Rodríguez  63 , Carmen Cillero-Castro  64 , Enrique Moreno-Ostos  65 , José María Blanco  65 , Valeriano Rodríguez  65 , Jorge Juan Montes-Pérez  65 , Roberto L Palomino  65 , Estela Rodríguez-Pérez  65 , Rafael Carballeira  66 , Antonio Camacho  67 , Antonio Picazo  67 , Carlos Rochera  67 , Anna C Santamans  67 , Carmen Ferriol  67 , Susana Romo  68 , Juan Miguel Soria  68 , Lars-Anders Hansson  69 , Pablo Urrutia-Cordero  69   70 , Arda Özen  71 , Andrea G Bravo  70 , Moritz Buck  70 , William Colom-Montero  72 , Kristiina Mustonen  72 , Don Pierson  72 , Yang Yang  72 , Jolanda M H Verspagen  3 , Lisette N de Senerpont Domis  73   74 , Laura Seelen  73   74 , Sven Teurlincx  73 , Yvon Verstijnen  74 , Miquel Lürling  73   75 , Valentini Maliaka  74   76   77 , Elisabeth J Faassen  74   78 , Delphine Latour  79 , Cayelan C Carey  80 , Hans W Paerl  81 , Andrea Torokne  82 , Tünay Karan  83 , Nilsun Demir  84 , Meryem Beklioğlu  85 , Nur Filiz  85 , Eti E Levi  85 , Uğur Iskin  85 , Gizem Bezirci  85 , Ülkü Nihan Tavşanoğlu  85 , Kemal Çelik  86 , Koray Özhan  87 , Nusret Karakaya  88 , Mehmet Ali Turan Koçer  89 , Mete Yilmaz  90 , Faruk Maraşlıoğlu  91 , Özden Fakioglu  92 , Elif Neyran Soylu  93 , Meral Apaydın Yağcı  94 , Şakir Çınar  94 , Kadir Çapkın  94 , Abdulkadir Yağcı  94 , Mehmet Cesur  94 , Fuat Bilgin  94 , Cafer Bulut  94 , Rahmi Uysal  94 , Latife Köker  95 , Reyhan Akçaalan  95 , Meriç Albay  95 , Mehmet Tahir Alp  96 , Korhan Özkan  97 , Tuğba Ongun Sevindik  98 , Hatice Tunca  98 , Burçin Önem  98 , Jessica Richardson  99 , Christine Edwards  100 , Victoria Bergkemper  101 , Sarah O'Leary  102 , Eilish Beirne  103 , Hannah Cromie  104 , Bastiaan W Ibelings  1
Affiliations

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

Evanthia Mantzouki et al. Sci Data. .

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.

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Conflict of interest statement

The authors declare no competing interests.

Figures

Figure 1
Figure 1. Map showing the locations of the 369 lakes sampled during the European Multi Lake Survey in summer 2015.
Figure 2
Figure 2. Schematic overview of the European Multi Lake Survey (EMLS).
CyanoCOST and NETLAKE members performed the sampling routine by: 1. Preparing the sampling material to meet the standardized procedures 2. Accessing the lake site and acquiring integrated water samples from the bottom of the thermocline up to the water surface 3. Processing and preserving the water samples based on requirements for subsequent analysis 4. Shipping samples to a central receiving laboratory 5. Analysing nutrient, pigment and toxin concentrations in dedicated laboratories. After quality control checks and data integration the dataset returns to the European network and becomes publically available for further research. Created by Sarah O’Leary and Eilish Beirne.
See this image and copyright information in PMC

Dataset use reported in

  • doi: 10.3390/toxins10040156

References

Data Citations

    1. Mantzouki E., et al. . 2018. Environmental Data Initiative. https://doi.org/10.6073/pasta/dabc352040fa58284f78883fa9debe37 - DOI

References

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    1. Huber V., Wagner C., Gerten D. & Adrian R. To bloom or not to bloom: contrasting responses of cyanobacteria to recent heat waves explained by critical thresholds of abiotic drivers. Oecologia 169, 245–256 (2012). - PubMed
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