Séréna Rasconi

Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement

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Télesphore Sime‐Ngando

Laboratoire Microorganismes Génome et Environnement

Stéphan Jacquet

Université Savoie Mont Blanc

Marlène Jobard

Laboratoire Microorganismes Génome et Environnement

Martin J. Kainz

Universität für Weiterbildung Krems

Philippe Quétin

Centre Alpin sur les Réseaux Trophiques et Ecosystèmes Lacustre

Frédéric Rimet

Centre Alpin sur les Réseaux Trophiques et Ecosystèmes Lacustre

Orlane Anneville

Centre Alpin sur les Réseaux Trophiques et Ecosystèmes Lacustre

Isabelle Domaizon

Centre Alpin sur les Réseaux Trophiques et Ecosystèmes Lacustre

Rémy Lassus

Animal, Santé, Territoires, Risques et Ecosystèmes

Virginie Diouloufet

Animal, Santé, Territoires, Risques et Ecosystèmes

Cooperative Institutions

Mae Fah Luang University

493

Tokyo Metropolitan University

129

Tohoku University

128

Suzuki (Japan)

125

The Japanese Society of Gastroenterological Surgery

124

Hudson Institute

123

Centre National de la Recherche Scientifique

Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement

Chinese Academy of Sciences

Kunming Institute of Botany

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Dataset Artificial warming decreases heterotroph densities and trophic transfer efficiency

Figshare (2023)

Simon Bazin Virginie Diouloufet Ange Molina Tiphaine Peroux Juan José Montoya

This file holds the data and scripts used in the article "Artificial warming decreases heterotroph densities and trophic transfer efficiency".Data are available in files whose name begins with the prefix "df". The variables names "date" and "date_c" represent the sampling date in discrete or continue value, respectively. "mesocosm_ID" is the identity of the mesocosm. "fish" represent the fish treatment (NF for No Fish, LB for Large-bodied fish and SB for Small-bodied fish). "warming" is the temperature treatment (NW for no warming, W for warming). "tmean15" is the mean temperature of the 15 days prior to the sampling date. "compartment", "class", "order" and "taxa" represent the taxonomy of the organisms. "N_l" is the density per liter. "C_mug_l" is the carbon biomass in microgram per liter. "S" and "H" are the species richness and the Shannon diversity index, respectively. "ZP" is the zooplankton:phytoplankton biomass ratio. The variables in df_bss.csv file are described in the main text of the article.Files with a numerical prefix are the scripts used for the statistical analyzes (multivariate analyzes, ecological index, community density and biomass, Predator Prey Biomass Ratio and Biomass Size Spectra).

10.6084/m9.figshare.23925291.v7

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Dataset Artificial warming decreases heterotroph densities and predator-prey biomass ratio in aquatic systems

Figshare (2023)

Simon Bazin Virginie Diouloufet Ange Molina Tiphaine Peroux Juan José Montoya

This file holds the data and scripts used in the article "Artificial warming decreases heterotroph densities and predator-prey biomass ratio in aquatic systems".Data are available in files whose name begins with the prefix "df". The variables names "date" and "date_c" represent the sampling date in discrete or continue value, respectively. "mesocosm_ID" is the identity of the mesocosm. "fish" represent the fish treatment (NF for No Fish, LB for Large-bodied fish and SB for Small-bodied fish). "warming" is the temperature treatment (NW for no warming, W for warming). "tmean15" is the mean temperature of the 15 days prior to the sampling date. "compartment", "class", "order" and "taxa" represent the taxonomy of the organisms. "N_l" is the density per liter. "C_mug_l" is the carbon biomass in microgram per liter. "S" and "H" are the species richness and the Shannon diversity index, respectively. "ZP" is the zooplankton:phytoplankton biomass ratio. The variables in df_bss.csv file are described in the main text of the article.Files with a numerical prefix are the scripts used for the statistical analyzes (multivariate analyzes, ecological index, community density and biomass, Predator Prey Biomass Ratio and Biomass Size Spectra).

10.6084/m9.figshare.23925291

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Technique for Identifying and Counting Infective Chytrid Sporangia Using the Chitinaceous Fluorochrome Calcofluor White

Fungal biology (2022)

Télesphore Sime‐Ngando Séréna Rasconi Mélanie Gerphagnon

Zoospore

Chytridiomycota

10.1007/978-3-030-83749-5_4

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Citations (2)

Fluorescence in situ hybridization of uncultured zoosporic fungi: Testing with clone-FISH and application to freshwater samples using CARD-FISH

Journal of Microbiological Methods (2010)

Marlène Jobard Séréna Rasconi Télesphore Sime‐Ngando

Chytridiomycota

Oomycete

Propagule

10.1016/j.mimet.2010.09.006

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Citations (46)

Identifying and quantifying unexpected deep zooplankton diel vertical migration in a large deep lake

Limnology and Oceanography (2024)

Violaine Piton Rafael S. Reiss Ulrich Lemmin Orlane Anneville Gaël Many

Abstract Diel Vertical Migration (DVM), a widespread zooplankton behavior in freshwater and marine systems, affects ecological interactions and biogeochemical cycles. In lakes, DVM has mainly been studied in the upper 50 m of the water column. However, based on acoustic and net sampling data collected in Lake Geneva, Switzerland (~ 309 m depth) during summer 2022, we demonstrate that DVM occurs down to ~ 125 m depth daily throughout the summer season. The daily descents terminated at around zenith when the Relative Rate of light Change (RRC) was the lowest, and the late afternoon ascent started when RRC values exceeded −0.005 s −1 . DVM migration descent/ascent rates were asymmetric with faster mean upward rates () than downward rates (). Migration rates overall increased as summer progressed, corresponding to the intra‐seasonal increase in RRC. Cyclopoid copepods Cyclops prealpinus abundances correlated with the observed deep DVM and their migration responded to exogenous light cues. These new findings, which can also be expected to be relevant for other deep lakes, indicate that Lake Geneva's DVM greatly exceeds maximum migration depths previously reported for a lake. Thus, it is important to study zooplankton DVM dynamics throughout the entire water column in large, deep lakes since it plays an important role in buffering global climate change effects. Furthermore, it is suggested that present zooplankton DVM sampling protocols in large, deep lakes should be revised accordingly.

Diel vertical migration

Bloom

Biogeochemical Cycle

10.1002/lno.12736

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ParAqua Conference Abtracts Booklet

Séréna Rasconi Laura Garzoli Ana Gavrilović

Abstracts of talks presented at ParAqua Conference held in Dubrovnik (Croatia), 16-17 April 2024

10.3897/arphapreprints.e148125

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Temperature increase and fluctuation induce phytoplankton biodiversity loss – Evidence from a multi‐seasonal mesocosm experiment

Ecology and Evolution (2017)

Séréna Rasconi Katharina Winter Martin J. Kainz

Abstract Global climate change scenarios predict lake water temperatures to increase up to 4°C and extreme weather events, including heat waves and large temperature fluctuations, to occur more frequently. Such changes may result in a reorganization of the plankton community structure, causing shifts in diversity and structure toward a community dominated by fewer species that are more adapted to endure warmer and irregular temperature conditions. We designed a long‐term (8 months) mesocosm experiment to explore how ambient water temperature ( C : control), induced increased temperature ( T : +4°C), and temperature fluctuations ( F : ±4°C relative to T ) change phytoplankton phenology, taxonomical diversity, and community structure, and how such changes affected zooplankton abundance and composition. Synthesis . Our results show that T and F relative to C significantly decreased phytoplankton diversity. Moreover, there was a clear effect of the temperature treatments ( T and F ) on phytoplankton size structure that resulted in a significantly lower growth of large species (i.e., large Chlorophyta) compared to C . Decreased diversity and evenness in the T and F treatments pushed the community toward the dominance of only a few phytoplankton taxa (mainly Cyanobacteria and Chlorophyta) that are better adapted to endure warmer and more irregular temperature conditions. The observed shift toward Cyanobacteria dominance may affect trophic energy transfer along the aquatic food web.

Mesocosm

Dominance (genetics)

10.1002/ece3.2889

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Citations (110)

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

Communications Earth & Environment (2024)

Abolfazl Irani Rahaghi Daniel Odermatt Orlane Anneville Oscar Sepúlveda Steiner Rafael S. Reiss

Abstract 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 nutrient availability, 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.

Bloom

Biogeochemical Cycle

10.1038/s43247-024-01351-5

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Citations (2)

Long-term trends of epilimnetic bacteria and organic carbon in a deep holo-oligomictic lake

HAL (Le Centre pour la Communication Scientifique Directe) (2010)

Roberto Bertoni Cristiana Callieri Gianluca Corno Séréna Rasconi Emanuele Caravati

Carbon fibers

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Résumé du suivi environnemental des eaux du lac du Bourget pour l’année 2019 et sur le long terme

Stéphan Jacquet Sébastien Cachera Laura Crépin Cyrille Girel Chloé Goulon

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