Marguš, M. (2024). Dataset for Phytoplankton pigment dynamics in marine lake fluctuating between stratified and holomictic euxinic conditions_Margus et al., 2023 [Data set]. https://urn.nsk.hr/urn:nbn:hr:241:245726.
Marguš, Marija. Dataset for Phytoplankton pigment dynamics in marine lake fluctuating between stratified and holomictic euxinic conditions_Margus et al., 2023. Institut Ruđer Bošković, 2024. 28 Dec 2024. https://urn.nsk.hr/urn:nbn:hr:241:245726.
Marguš, Marija. 2024. Dataset for Phytoplankton pigment dynamics in marine lake fluctuating between stratified and holomictic euxinic conditions_Margus et al., 2023. Institut Ruđer Bošković. https://urn.nsk.hr/urn:nbn:hr:241:245726.
Marguš, M. 2024. Dataset for Phytoplankton pigment dynamics in marine lake fluctuating between stratified and holomictic euxinic conditions_Margus et al., 2023. Institut Ruđer Bošković. [Online]. [Accessed 28 December 2024]. Available from: https://urn.nsk.hr/urn:nbn:hr:241:245726.
Marguš M. Dataset for Phytoplankton pigment dynamics in marine lake fluctuating between stratified and holomictic euxinic conditions_Margus et al., 2023. [Internet]. Institut Ruđer Bošković: Šibensko-kninska županija, Općina Rogoznica, HR; 2024, [cited 2024 December 28] Available from: https://urn.nsk.hr/urn:nbn:hr:241:245726.
M. Marguš, Dataset for Phytoplankton pigment dynamics in marine lake fluctuating between stratified and holomictic euxinic conditions_Margus et al., 2023, Institut Ruđer Bošković, 2024. Accessed on: Dec 28, 2024. Available: https://urn.nsk.hr/urn:nbn:hr:241:245726.
Title (english)
Dataset for Phytoplankton pigment dynamics in marine lake fluctuating between stratified and holomictic euxinic conditions_Margus et al., 2023
Biomass dynamics in the marine lake are strongly dependent on seasonal variability in vertical stratification, indicating rapid adaptation of phytoplankton to short-term changes in the water column. A small marine lake (Rogoznica Lake, Croatia), which fluctuates between stably stratified and holomictic euxinic conditions, was used as a model to study the phytoplankton responses to environmental perturbations, in particular the anoxic stress, caused by periodic holomixia. The epilimnion showed significant temporal and vertical variability with a chlorophyll a subsurface maximum with the highest biomass near the chemocline. Fucoxanthin-containing biomass (diatoms) dominated in the epilimnion in colder seasons and was first to recover after holomictic euxinic events. The shift toward the smaller groups prevailed during highly stratified water column conditions in warmer seasons. Results for the hypolimnion were more enigmatic, with high concentrations of alloxanthin, zeaxanthin, and violaxanthin indicating the presence of a viable small-size mixotrophic community under extreme conditions.
Methods (english)
Study site: Zmajevo oko - Rogoznica Lake small karstified sea lake on the eastern Adriatic coast of Croatia (43o32" N, 15o58" E)
Physico-chemical parameters: Temperature (T, oC), salinity (S), dissolved oxygen (DO, mg/L) were measured in situ during sampling using a HQ40d multimeter probe (Hach Lange, Germany).
For the determination of photosynthetic pigments, one liter of water was filtered at low vacuum onto glass fiber filters (0.7 μm GF/F) and stored at -80 oC until analysis. The filters were extracted by sonication in 4 mL of cold 90% acetone, followed by centrifugation to clarify the extracts. Chlorophylls and carotenoids were analyzed by reversed-phase HPLC according to Barlow et al. (1997). In brief, the extracts were mixed with 1 M ammonium acetate (1:1; v/v) and injected into an HPLC system, which consisted of a gradient solvent delivery system (Varian Star 9010), an injector (Rheodyne, model 7125), a Hypersil™ MOS -2 C8 HPLC column (150 x 4.6 mm, Thermo Scientific) and serially coupled spectrophotometric and spectrofluorimetric detectors. A binary linear gradient was used to separate the pigments. Solvent A was a mixture of methanol / 1 M ammonium acetate (70/30), while solvent B was methanol. Chlorophylls and carotenoids were detected by absorbance at 440 nm (Spectra Physics UV 2000), while phaeopigments were detected by fluorescence (Spectra Physics FL 3000) with excitation at 420 nm and emission at 672 nm. Data was acquired and processed using Varian Star 4.0 software. The qualitative and quantitative analyzes of the individual pigments were performed by external standard calibration with authentic pigment standards (VKI, Denmark).
The total reduced sulfur species (RSStotal) were analyzed by electrochemical methods as previously described (Bura-Nakić et al. 2009; Marguš et al. 2015).
The DOC and POC were analyzed using a TOC-Vcph analyzer (Schimadzu, Japan). The fractions were separated immediately after sampling by filtration through a pre-combusted 0.7 μm GF/F filter and stored until analysis (at -20°C).
Samples for nutrient measurements were stored at -20 oC prior to analysis. Nitrate (NO3-), nitrite (NO2-), ammonium (NH4+), orthophosphate (PO43-) and silicate (SiO44-) were analyzed in unfiltered samples using a spectrophotometer (Strickland and Parsons, 1972).
Šibensko-kninska županija, Općina Rogoznica, Croatia
Project
Title (croatian): Rogozničko morsko jezero kao model odziva ekosustava na promjene u okolišu (MARRES) Title (croatian): Kruženje sumpora i ugljika u morskom i slatkovodnom okolišu Jurisdiction: Croatia