Data

Microcosm experiment on Ocean Alkalinity Enhancement 2023

Australian Ocean Data Network
Guo, Jiaying ; Bach, Lennart
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=https://metadata.imas.utas.edu.au/geonetwork/srv/eng/catalog.search#/metadata/743b1215-66b4-4803-9e4e-6e8c503fe8a8&rft.title=Microcosm experiment on Ocean Alkalinity Enhancement 2023&rft.identifier=https://metadata.imas.utas.edu.au/geonetwork/srv/eng/catalog.search#/metadata/743b1215-66b4-4803-9e4e-6e8c503fe8a8&rft.description=To understand the environmental impacts of added alkaline minerals on plankton communities, we enclosed natural coastal plankton communities using 53L microcosms and exposed these communities to ground factory slag (2g/53L) and olivine (100g/53L). The microcosms of seawater were kept at 13.5 °C with circulations. The biochemical changes and responses in microcosms were monitored and measured for 21 days. The measured parameters are pH, total alkalinity, temperature, macro-nutrients concentrations, total chlorophyll-a, flow cytometry data, POC/PON, BSi, Rapid Light Curves, zooplankton abundance, the dissolved trace metal concentrations, and the particulate trace metal concentrations.Maintenance and Update Frequency: notPlannedStatement: 1. The seawater’s chemical characteristics including salinity, pH, total alkalinity (TA), and macro-nutrients were monitored throughout the experiment. All seawater sampling processes were done 15cm deep from the surface using a pump and acid-washed silicate tubes. pH and temperature were measured every morning using a pH meter (914 pH/Conductometer Metrohm). TA was measured using Metrohm 862 Compact Titrosampler coupled with an Aquatrode Plus with PT1000 temperature sensor following the SOP3b open-cell titration protocol described in Dickson et al. (2017). 2. Dissolved macro-nutrients were measured using spectrophotometric methods developed by Hansen and Koroleff (1999). 3. Dissolved trace metal:60ml of seawater was collected using an acid-washed 60ml syringe, and the seawater was filtered by 0.2µm pore size polycarbonate syringe filters. Phytoplankton was sampled before the treatment and at the end of the experiment for the analysis of trace metal concentration inside phytoplankton cells. Then the phytopalnkton were digested using strong acid to extract the trace metals. All trace metal concentrations were measured using ICP-MS. 4. The particulate organic carbon and particulate organic nitrogen (POC and PON) and biogenic silica (BSi) were analysed every 4 days by filtering 100ml/filter seawater collected seawater from each microcosm. 5. An all-plastic of zooplankton net (20mm high and 15mm width) with a 210µm pole size mesh was used to collect zooplankton from microcosms before addition (day 2), in the middle (day 13) and at the end of the experiment (day 23), and zooplankton was observed under a microscope to distinguish their taxon groups. 6. Chlorophyll a was sampled every 2 days by filtering the seawater through glass fibre filters (GF/F, pore size = 0.7 µm, diameter =25mm). Each filter was immersed in 10ml 100% methanol for 18-20h to extract chlorophyll from phytoplankton and these samples were analysed on a Turner fluorometer (10-AU) following the method described by Evans, et al. (1987). 7. Flow cytometry samples were subsampled using pipettes from the pumped seawater samples. A mixture of formaldehyde-hexamine (18%:10% v/w) was added to preserve phytoplankton samples at 2.8%. All bacteria samples were fixed using glutaraldehyde (Electron-microscope grade, 25%) at 2.0%. Before the measurement, samples were thawed at 37℃. Bacteria samples were stained with SYBR green I (diluted in dimethylsulfoxide) at a final ratio of 1:10000 (SYBR Green I : sample) prior to analysis. The Cytek Aurora (Cytek Biosciences) was used to measure fluorescence signal intensity from different channels and forward scatter (FSC) information of phytoplankton cells. 8. Phytoplankton photosynthesis performance was estimated from the rapid light curves measured with Fast Repetition Rate (FRR) fluorometry every 2 days (Schallenberg et al. 2020). Samples were kept in dark for 20 minutes before the measurements. Live phytoplankton samples were added to the FRR fluorometry cuvette, which is temperature-controlled at 13.5°C.&rft.creator=Guo, Jiaying &rft.creator=Bach, Lennart &rft.date=2023&rft_rights=Data, products and services from IMAS are provided as is without any warranty as to fitness for a particular purpose.&rft_rights=This dataset is the intellectual property of the University of Tasmania (UTAS) through the Institute for Marine and Antarctic Studies (IMAS).&rft_rights=&rft_rights= https://creativecommons.org/licenses/by/4.0/&rft_rights=https://licensebuttons.net/l/by/4.0/88x31.png&rft_rights=WWW:LINK-1.0-http--related&rft_rights=License Graphic&rft_rights=Creative Commons Attribution 4.0 International License&rft_rights=CC-BY-NC&rft_rights=4.0&rft_rights=http://creativecommons.org/international/&rft_rights=WWW:LINK-1.0-http--related&rft_rights=WWW:LINK-1.0-http--related&rft_rights=License Text&rft_rights=Cite data as: Guo, J., & Bach, L. (2023). Microcosm experiment on Ocean Alkalinity Enhancement 2023 [Data set]. Institute for Marine and Antarctic Studies (IMAS), University of Tasmania (UTAS). https://doi.org/10.25959/X6FH-9K15&rft_rights=Creative Commons Attribution 4.0 International License http://creativecommons.org/licenses/by/4.0&rft_subject=biota&rft_subject=EARTH SCIENCE | BIOSPHERE | ECOSYSTEMS | MARINE ECOSYSTEMS&rft_subject=PLANKTON&rft_subject=EARTH SCIENCE&rft_subject=BIOSPHERE&rft_subject=AQUATIC ECOSYSTEMS&rft_subject=ALKALINITY&rft_subject=OCEANS&rft_subject=OCEAN CHEMISTRY&rft_subject=CARBON DIOXIDE&rft_subject=TRACE METALS&rft_subject=TERRESTRIAL HYDROSPHERE&rft_subject=WATER QUALITY/WATER CHEMISTRY&rft_subject=pH (total scale) of the water body&rft_subject=Temperature of the water body&rft_subject=voltage&rft_subject=Mesocosm No.&rft_subject=Day&rft_subject=Concentration of biogenic silicate in the seawater&rft_subject=Total alkalinity per unit mass of the water body&rft_subject=Concentration of chlorophyll-a per unit volume of the water body&rft_subject=Concentration of suspended particulate nitrogen&rft_subject=Concentration of suspended particulate carbon&rft_subject=Concentration of nitrate and nitrite {NO3 and NO2} per unit mass of the water body&rft_subject=Concentration of phosphate {PO4} per unit mass of the water body&rft_subject=Concentration of silicate {SiO4} per unit mass of the water body&rft_subject=Biotic taxonomic identification&rft_subject=Abundance of biota&rft_subject=Mean forward scatter signal values&rft_subject=Concentration of dissolved metal in seawater&rft_subject=Name of the dissolved metal in seawater&rft_subject=The initial slope of rapid light curve&rft_subject=The maximum electron transport rate&rft_subject=The minimum saturation irradiance&rft_subject=The maximum quantum yield of photosynthesis II&rft_subject=Coastal Cities / Towns (Australia) | Coastal Cities / Towns (Australia) | Hobart, TAS&rft_subject=Biological Oceanography&rft_subject=EARTH SCIENCES&rft_subject=OCEANOGRAPHY&rft_subject=Marine and Estuarine Ecology (incl. Marine Ichthyology)&rft_subject=BIOLOGICAL SCIENCES&rft_subject=ECOLOGY&rft.type=dataset&rft.language=English Access the data

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Cite data as: Guo, J., & Bach, L. (2023). Microcosm experiment on Ocean Alkalinity Enhancement 2023 [Data set]. Institute for Marine and Antarctic Studies (IMAS), University of Tasmania (UTAS). https://doi.org/10.25959/X6FH-9K15

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Brief description

To understand the environmental impacts of added alkaline minerals on plankton communities, we enclosed natural coastal plankton communities using 53L microcosms and exposed these communities to ground factory slag (2g/53L) and olivine (100g/53L). The microcosms of seawater were kept at 13.5 °C with circulations. The biochemical changes and responses in microcosms were monitored and measured for 21 days. The measured parameters are pH, total alkalinity, temperature, macro-nutrients concentrations, total chlorophyll-a, flow cytometry data, POC/PON, BSi, Rapid Light Curves, zooplankton abundance, the dissolved trace metal concentrations, and the particulate trace metal concentrations.

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Maintenance and Update Frequency: notPlanned
Statement: 1. The seawater’s chemical characteristics including salinity, pH, total alkalinity (TA), and macro-nutrients were monitored throughout the experiment. All seawater sampling processes were done 15cm deep from the surface using a pump and acid-washed silicate tubes. pH and temperature were measured every morning using a pH meter (914 pH/Conductometer Metrohm). TA was measured using Metrohm 862 Compact Titrosampler coupled with an Aquatrode Plus with PT1000 temperature sensor following the SOP3b open-cell titration protocol described in Dickson et al. (2017). 2. Dissolved macro-nutrients were measured using spectrophotometric methods developed by Hansen and Koroleff (1999). 3. Dissolved trace metal:60ml of seawater was collected using an acid-washed 60ml syringe, and the seawater was filtered by 0.2µm pore size polycarbonate syringe filters. Phytoplankton was sampled before the treatment and at the end of the experiment for the analysis of trace metal concentration inside phytoplankton cells. Then the phytopalnkton were digested using strong acid to extract the trace metals. All trace metal concentrations were measured using ICP-MS. 4. The particulate organic carbon and particulate organic nitrogen (POC and PON) and biogenic silica (BSi) were analysed every 4 days by filtering 100ml/filter seawater collected seawater from each microcosm. 5. An all-plastic of zooplankton net (20mm high and 15mm width) with a 210µm pole size mesh was used to collect zooplankton from microcosms before addition (day 2), in the middle (day 13) and at the end of the experiment (day 23), and zooplankton was observed under a microscope to distinguish their taxon groups. 6. Chlorophyll a was sampled every 2 days by filtering the seawater through glass fibre filters (GF/F, pore size = 0.7 µm, diameter =25mm). Each filter was immersed in 10ml 100% methanol for 18-20h to extract chlorophyll from phytoplankton and these samples were analysed on a Turner fluorometer (10-AU) following the method described by Evans, et al. (1987). 7. Flow cytometry samples were subsampled using pipettes from the pumped seawater samples. A mixture of formaldehyde-hexamine (18%:10% v/w) was added to preserve phytoplankton samples at 2.8%. All bacteria samples were fixed using glutaraldehyde (Electron-microscope grade, 25%) at 2.0%. Before the measurement, samples were thawed at 37℃. Bacteria samples were stained with SYBR green I (diluted in dimethylsulfoxide) at a final ratio of 1:10000 (SYBR Green I : sample) prior to analysis. The Cytek Aurora (Cytek Biosciences) was used to measure fluorescence signal intensity from different channels and forward scatter (FSC) information of phytoplankton cells. 8. Phytoplankton photosynthesis performance was estimated from the rapid light curves measured with Fast Repetition Rate (FRR) fluorometry every 2 days (Schallenberg et al. 2020). Samples were kept in dark for 20 minutes before the measurements. Live phytoplankton samples were added to the FRR fluorometry cuvette, which is temperature-controlled at 13.5°C.

Notes

Credit
This research has been supported by the Australian Research Council through a Future Fellowship awarded to Lennart Thomas Bach (project FT200100846). It's also supported by Australian Antarctic Program Partnership (AAPP), Institute for Marine and Antarctic Studies, University of Tasmania, Hobart, Tasmania, Australia.

Issued: 15 03 2023

Data time period: 2022-05-23 to 2022-11-01

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  • global : 743b1215-66b4-4803-9e4e-6e8c503fe8a8