Physico-chemical dataset from an in situ mesocosm experiment simulating extreme climate events in Lake Geneva (MESOLAC)

Abstract

This dataset complement a previously published dataset [1] and corresponds to the physico-chemical parameters data series produced during the MESOLAC experimental project [2] . The presented dataset is composed of: 1. In situ profiles (0–3m) of temperature, conductivity, pH, dissolved oxygen (concentration and saturation). 2. In situ measurements of light spectral UV/VIS/IR irradiance (300–950 nm wavelength range) taken at 0, 0.25, 0.5, 1, 1.5, 2 and 2.5m. 3. Laboratory chemical analysis of samples collected at 0 and 2 m (conductivity, pH, total alkalinity, NH 4 , NO 2 , NO 3 , total and particulate nitrogen (Ntot, Npart), PO 4 , total and particulate phosphorus (Ptot, Ppart), total, organic particulate and total particulate carbon (Ctot, Cpart-org, Cpart-tot), Cl, SO 4 , SiO 2 . 4. Laboratory analysis of pigments extracted from samples collected at 0 and 2 m (Chl a , Chl c , carotenoids, phaeopigments). The experimental design is the same as in Tran-Khac et al [1] . Briefly, it consisted of nine pelagic mesocosms (about 3000 L, 3m depth) deployed in July 2019 in Lake Geneva near the shore of Thonon les Bains (France) aiming to simulate predicted climate scenarios (i.e. extreme events) and assess the response of planktonic communities, ecosystem functioning and resilience. During the experiment, physical parameters were measured twice a week. At the same time, samples were collected at 0 and 2m of depth for subsequent chemical laboratory analyses. These data are presented in the dataset file, ordered by sampling event (numbered from S1 to S8), treatment (Control-C, High-H and Medium-M) and replicates (1 to 3). For each sampling point the measured parameters are listed in columns, missing data and values below the detection limit are marked as NA (not available). This data set aims to contribute to the understanding of the effect of environmental forcing on lake physico-chemical characteristics (such as temperature, oxygen and nutrient concentration) under simulated intense weather events. To a broader extent, the presented data can be used for a wide variety of applications, including monitoring of a large peri-alpine lake functioning under environmental stress and being included in further meta-analysis to generalise the effect of climate change on large lakes. The two complementary dataset differ in the acquired data and methods, temporal and spatial resolution. They complete each other in terms of physico-chemical characterization of the experimental treatments and together can allow comparison of the two different monitoring strategies (continuous vs punctual) during in situ experimental manipulations.

Physico-chemical and high frequency monitoring dataset from mesocosm experiments simulating extreme climate events in lakes

“…We initiated our mesocosm research during summer 2019 by running an in situ experiment in Lake Geneva [4 , 5] to simulate extreme events such a turbid storms. In the experimental treatments we applied manual mixing, increased DOC concentration and reduced light on two different intensity of stress (intermediate and intense) to test the effect on plankton diversity and the related functional traits.…”

“…In the experimental treatments we applied manual mixing, increased DOC concentration and reduced light on two different intensity of stress (intermediate and intense) to test the effect on plankton diversity and the related functional traits. The intense treatment strongly affected the oxygen concentration [4] and community pigment composition [5] . The exchange of organic matter among ecosystems showed major impacts on plankton populations structure and dynamics [9] , yet little is known about how individual responses combine with the ecosystem feedback.…”

“…Integrated samples (0-1 m) were taken using a syphon. Data source location Institution: UMR INRAE CARRTEL City/Town/Region: Thonon les Bains Country: France GPS coordinates: 46.368, 6.454 Data accessibility The dataset described in this data paper is accessible as open file in the Data INRAE repository https://entrepot.recherche.data.gouv.fr/dataverse/inrae DOMLAC dataset uploaded in the repository as single excel file [2] : Repository name: Data INRAE Direct URL to data: https://doi.org/10.57745/QJEJIJ PALAC dataset uploaded in the repository as single excel file [3] . Repository name: Data INRAE Direct URL to data: https://doi.org/10.57745/N2NKA2 Related research article Complementary DIB articles on a different in situ mesocosm experiment performed in the same lab and collecting data using the same methods: [4] Tran-Khac V, Quetin P, Domaizon I, Jacquet S, Espinat L, Gallot C, Rasconi S. 2020.…”

“…32:106255. https://doi.org/10.1016/j.dib.2020.106255 The complementary dataset published in [4] produced during the same experiment is available at: https://data.inra.fr/dataset.xhtml?persistentId=doi:10.15454/T3VCB0 10.15454/T3VCB0 [5] Tran-Khac V, Perney P, Crépin L, Quetin P, Domaizon I, Jacquet S, Espinat L, Gallot C, Rasconi S. 2021. Physico-chemical dataset from an in situ mesocosm experiment simulating extreme climate events in Lake Geneva (MESOLAC).…”

“…36:107150. https://doi.org/10.1016/j.dib.2021.107150 The complementary dataset published in [5] produced during the same experiment is available at: https://data.inrae.fr/dataset.xhtml?persistentId=doi:10.15454/PCOPYW 10.15454/PCOPYW…”