https://doi.org/10.25678/000C9Q

Data for: Combined Earth observations reveal the sequence of conditions leading to a large algal bloom in Lake Geneva

Freshwater algae exhibit complex dynamics, particularly in meso-oligotrophic lakes with sudden and dramatic increases in algal biomass following long periods of low background concentration. While the fundamental prerequisites for algal blooms, namely light and nutrients, are well-known, their specific causation involves an intricate chain of conditions. Here we examine a recent massive Uroglena bloom in Lake Geneva (Switzerland/France). We show that a certain sequence of meteorological conditions triggered this specific algal bloom event: heavy rainfall promoting excessive organic matter and nutrients loading, followed by wind-induced coastal upwelling, and a prolonged period of warm, calm weather. The combination of satellite remote sensing, in-situ measurements, ad-hoc biogeochemical analyses, and three-dimensional modeling proved invaluable in unraveling the complex dynamics of algal blooms highlighting the substantial role of littoral-pelagic connectivities in large low-nutrient lakes. These findings underscore the advantages of state-of-the-art multidisciplinary approaches for an improved understanding of dynamic systems as a whole.

Data and Resources

Citation

This Data Package

Irani Rahaghi, A., Rasconi, S., Rimet, F., Bouffard, D., Odermatt, D., Anneville, O., et al. (2024). Data for: Combined Earth observations reveal the sequence of conditions leading to a large algal bloom in Lake Geneva (Version 1.0). Eawag: Swiss Federal Institute of Aquatic Science and Technology. https://doi.org/10.25678/000C9Q

The associated article

Irani Rahaghi, A., Odermatt, D., Anneville, O., Sepúlveda Steiner, O., Reiss, R. S., Amadori, M., et al. (2024). Combined Earth observations reveal the sequence of conditions leading to a large algal bloom in Lake Geneva. Communications Earth & Environment, 5(1). https://doi.org/10.1038/s43247-024-01351-5

Metadata

Open Data Open Data
Long-term data Long-term data
Author
  • Irani Rahaghi, Abolfazl
  • Rasconi, Serena
  • Rimet, Frédéric
  • Bouffard, Damien
  • Odermatt, Daniel
  • Anneville, Orlane
  • Steiner, Oscar Sepúlveda
  • Reiss, Rafael Sebastian
  • Amadori, Marina
  • Toffolon, Marco
  • Jacquet, Stéphan
  • Harmel, Tristan
  • Werther, Mortimer
  • Soulignac, Frédéric
  • Dambrine, Etienne
  • Jézéquel, Didier
  • Hatté, Christine
  • Tran-Khac, Viet
Keywords lake,algal bloom,meteorological conditions,remote sensing,3D numerical modeling,particle tracking
Variables
  • color
  • current
  • solar_radiation
  • temperature
  • wind_speed
Taxa (scientific names)
  • Uroglena Sp
Organisms (generic terms)
  • algae
Systems
  • lake
Timerange
  • 1998 TO 2022
  • 2021-08 TO 2021-09
Geographic Name(s)
  • Lake Geneva
Review Level none
Curator Irani Rahaghi, Abolfazl
Contact Bouffard, Damien <Damien.Bouffard@eawag.ch>
DOI 10.25678/000C9Q