, Volume 831, Issue 1, pp 55–70 | Cite as

Plankton community interactions in an Amazonian floodplain lake, from bacteria to zooplankton

  • I. B. Feitosa
  • V. L. M. HuszarEmail author
  • C. D. Domingues
  • E. Appel
  • R. Paranhos
  • R. M. Almeida
  • C. W. C. Branco
  • W. R. Bastos
  • H. Sarmento


The simple view of the classical phytoplankton–zooplankton–fish food chain (CFC) has been replaced by a more complex framework, integrating microbial compartments (microbial food web, MFW). Few studies considered all components of the pelagic MFW in freshwaters and mostly are from temperate regions. We investigated carbon partitioning in the CFC and the MFW in an Amazonian floodplain system and analyzed the strength of interactions among components through structure equation modeling. We hypothesized that (i) MFW contributes highly to total plankton biomass throughout the year; and (ii) all plankton communities increase in biomass during low water, increasing the role of trophic interactions. We collected 30 subsurface samples (nutrients and plankton communities). MFW predominated over CFC in carbon biomass, and plankton components and their interactions changed according to the contrasting water level. Because phosphorus can be a potentially limiting resource for strict primary producers, higher biomass and a more complex MFW occurred during low water. We concluded that hydrology is a key factor shaping biotic interactions during low-water periods, and that MFW plays a key role in floodplain lakes, being potential mixotrophy an important strategy for phytoplankton.


Microbial food web Classical food chain Seasonal interactions Mixotrophy Structural equation modeling 



We express our gratitude to Raimundo and Rongelina for providing access to the lake and sometimes much more. We thank Janet W. Reid (JWR Associates) for revising the English text. This research was financially supported by the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), Brazil CNPq (Grant 552331/2011-2). VH was partially supported by CNPq (Grant 304284/2017-3). HS’s work was supported by CNPq (Grant 309514/2017-7) and by the Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP, Grant 2014/13139-3). We would also like to thank the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) for a Master’s scholarship for IF.

Supplementary material

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Authors and Affiliations

  1. 1.Laboratory of Environmental BiogeochemistryFederal University of RondôniaPôrto VelhoBrazil
  2. 2.Laboratory of Phycology, Department of Botany, National MuseumFederal University of Rio de JaneiroRio de JaneiroBrazil
  3. 3.Laboratory of Hydrobiology, Department of Marine Biology, Institute of BiologyFederal University of Rio de JaneiroRio de JaneiroBrazil
  4. 4.Laboratory of Aquatic Ecology, Department of Biology, Institute of BiologyFederal University of Juiz de ForaJuiz de ForaBrazil
  5. 5.Department of Ecology and Evolutionary BiologyCornell UniversityIthacaUSA
  6. 6.Biosciences Institute, Federal University of the Rio de Janeiro StateRio de JaneiroBrazil
  7. 7.Laboratory of Microbial Processes and Biodiversity, Department of HydrobiologyFederal University of São CarlosSão CarlosBrazil

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