, Volume 830, Issue 1, pp 255–276 | Cite as

Microbial food-web components in two hypertrophic human-impacted Pampean shallow lakes: interactive effects of environmental, hydrological, and temporal drivers

  • M. R. SchiaffinoEmail author
  • N. Diovisalvi
  • D. Marfetán Molina
  • P. Fermani
  • C. Li Puma
  • L. Lagomarsino
  • M. V. Quiroga
  • G. L. Pérez
Primary Research Paper


Few studies have intensively assessed the dynamic of all planktonic components and their microbial communities in hypertrophic shallow lakes. The aim of this work was to study the potential drivers shaping the microbial food-web components (heterotrophic bacteria and strictly phototrophic microplankton). Thus, we studied the monthly abundances and functional groups of the different planktonic food-web components (heterotrophic bacteria, picocyanobacteria, picoeukaryotes, heterotrophic flagellates, ciliates, phytoplankton, zooplankton) in two interconnected and hypertrophic Pampean shallow lakes (Gómez and Carpincho) during dry–wet periods (27-month study). We hypothesized that temporal (intra and inter-annual) factors exert a major role in shaping the microbial food-web components in both lakes. Both shallow lakes showed similar dynamic in the environmental variables, that followed inter-annual and seasonal variations. In Gómez, the variation of microbial components was mainly explained by a combination of environmental, predation, and temporal factors (38.2%), whereas in Carpincho by pure temporal drivers (31.8%). Microbial and predator components were significantly different between dry and wet periods. The connection and closeness between both lakes seem not to play a major role in the factors driving the microbial component abundances. These lakes are strongly influenced by temporal factors, which regulate not only the microbial components, but also the physical, chemical, and biological variables.


Picoplankton Heterotrophic flagellates Ciliates Phytoplankton Zooplankton Hypertrophic shallow lakes Time series data 



We thank Viviana Lobato for her aid during sampling campaigns and Irina Izaguirre for her general support. This study was supported by the National Council of Scientific and Technical Research (Network project for the assessment and monitoring of Pampean shallow lakes, PAMPA2) and the National Agency of Scientific and Technical Promotion (PICT 2014-0918).

Supplementary material

10750_2018_3874_MOESM1_ESM.eps (4.5 mb)
Supplementary Fig. 1. Correlations between the microbial component similarity matrices (Bray–Curtis) and the water level difference matrices (Euclidean distances) in Gómez (a) and Carpincho (b) using Mantel tests. Supplementary material 1 (EPS 4613 kb)
10750_2018_3874_MOESM2_ESM.eps (6.5 mb)
Supplementary Fig. 2. Temporal variation of values along the significant (P < 0.05) axes of canonical asymmetric eigenvector maps (AEM) models of the Napierian-transformed microbial community matrix, constructed using forward selection of positive (black curves) and negatives (red curves) AEM. AEM were selected at the 0.05 level. Supplementary material 2 (EPS 6645 kb)
10750_2018_3874_MOESM3_ESM.docx (46 kb)
Supplementary material 3 (DOCX 46 kb)


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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • M. R. Schiaffino
    • 1
    Email author
  • N. Diovisalvi
    • 2
  • D. Marfetán Molina
    • 3
  • P. Fermani
    • 2
  • C. Li Puma
    • 1
  • L. Lagomarsino
    • 2
  • M. V. Quiroga
    • 2
  • G. L. Pérez
    • 4
  1. 1.Centro de Investigaciones y transferencia del Noroeste de la Provincia de Buenos Aires (CITNOBA, CONICET-UNNOBA-UNSADA)JunínArgentina
  2. 2.Instituto de Investigaciones Biotecnológicas-Instituto Tecnológico de Chascomús (IIB-INTECH)Universidad Nacional de San Martín (UNSAM) - Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET)ChascomúsArgentina
  3. 3.Dirección General de Estadística UniversitariaUniversidad Nacional de Rosario (UNR)RosarioArgentina
  4. 4.Instituto de Investigaciones en Biodiversidad y Medioambiente (INIBIOMA) - Centro Científico Tecnológico CONICET - Patagonia NorteBarilocheArgentina

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