Thielecke, Antonia; Meyer, Jana; Ludwig, Andrea; Schulz, Kai Georg (2023): KOSMOS 2020 Peru mesocosm study on ecosystem responses to different light and upwelling intensities: dissolved inorganic carbon concentration and total alkalinity of water samples [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.961215
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Abstract:
This data is part of the BMBF project CUSCO (Coastal Upwelling Systems in a Changing Ocean). Here we report the dissolved inorganic carbon concentration and total alkalinity during a 35-day experiment, where we enclosed natural plankton communities in in-situ mesocosms off Peru. The experiment investigated the interactive effects of light and upwelling on the Humboldt upwelling ecosystem by mimicking a gradient of upwelling intensities (0%, 15%, 30%, 45% and 60%) under summer-time high light and winter-time low light. Integrated seawater samples from a depth between 0 and 10m were collected using a 5L Integrating Water sampler (IWS; Hydro-Bios, Kiel). Dissolved inorganic carbon (DIC) and total alkalinity (TA) samples were obtained by 0.2µm gentle pressure filtration, poisoned with saturated 7.5 % mercury chloride (HgCl2) solution and frozen at -20°C until measurement. Samples for Total Alkalinity (TA) were measured by means of potentiometric titration with 0.05 M HCl using an automated titration device (862 Metrohm Compact Titrosampler). All DIC samples taken until day 17 were measured using an Automated Infra-Red Inorganic Carbon Analyzer (AIRICA) with a LICOR detector (LI-7000 CO2/H20 Analyzer, MARIANDA, Kiel). Certified reference material (Dickson standard for oceanic CO2 Measurements - CRM Batch 142 with salinity = 33.389 and DIC = 2038,07 µmol/kg) was measured and used to correct measured sample values. Additional DIC samples were measured using gas chromatography-mass spectrometry (GC-MS) to determine the 13C signal. The data of the GC-MS was adjusted to the AIRICA data using a linear transformation. Missing days were filled using an average of the day before and after.
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Project(s):
Funding:
Federal Ministry of Education and Research (BMBF), grant/award no. 03F0813A: Küstennahe Auftriebsgebiete CUSCO: Auswirkungen geänderter Auftriebsintensitäten auf Struktur, Funktion und Produktivität pelagischer Nahrungsnetze im peruanischen Humboldt-Auftriebsgebiet
Horizon 2020 (H2020), grant/award no. 731065: Network of Leading European AQUAtic MesoCOSM Facilities Connecting Mountains to Oceans from the Arctic to the Mediterranean
Coverage:
Median Latitude: -12.055329 * Median Longitude: -77.235145 * South-bound Latitude: -12.056130 * West-bound Longitude: -77.235644 * North-bound Latitude: -12.054690 * East-bound Longitude: -77.234677
Date/Time Start: 2020-02-28T00:00:00 * Date/Time End: 2020-04-02T00:00:00
Event(s):
KOSMOS_2020_Mesocosm-M1 * Latitude: -12.054828 * Longitude: -77.235211 * Date/Time Start: 2020-02-28T00:00:00 * Date/Time End: 2020-04-02T00:00:00 * Campaign: KOSMOS_2020 (KOSMOS Peru) * Method/Device: Mesocosm experiment (MESO)
KOSMOS_2020_Mesocosm-M2 * Latitude: -12.054690 * Longitude: -77.234944 * Date/Time Start: 2020-02-28T00:00:00 * Date/Time End: 2020-04-02T00:00:00 * Campaign: KOSMOS_2020 (KOSMOS Peru) * Method/Device: Mesocosm experiment (MESO)
KOSMOS_2020_Mesocosm-M3 * Latitude: -12.054725 * Longitude: -77.234677 * Date/Time Start: 2020-02-28T00:00:00 * Date/Time End: 2020-04-02T00:00:00 * Campaign: KOSMOS_2020 (KOSMOS Peru) * Method/Device: Mesocosm experiment (MESO)
Comment:
Mesocosm 10 describes the control sample from the Pacific
As AIRICA data is more precise than GC-MS data, AIRICA data was used where available
linear regression showed that GC-MS and AIRICA data linearly correlate
for days after T17 a linear conversion factor was applied to adjust GC-MS values: AIRICA=-1180+1.475*GCMS
Parameter(s):
Status:
Curation Level: Enhanced curation (CurationLevelC)
Size:
1761 data points