Dataset: Isotopes (d11B, 87Sr/86Sr, d18O, d13C), elemental concentrations (B, Mg, Ca), and carbon content collected from the foraminifera Ammonia parkinsoniana and sediments in Celestun Lagoon, Yucatan, Mexico in June 2009 and May 2015

ValidatedFinal no updates expectedDOI: 10.26008/1912/bco-dmo.941327.1Version 1 (2024-10-25)Dataset Type:Other Field Results

Principal Investigator, Contact: Adina Paytan (University of California-Santa Cruz)

Co-Principal Investigator: Jorge A. Herrera-Silveira (Unidad Mérida del Centro de Investigación y de Estudios Avanzados)

Co-Principal Investigator: Chen-Feng You (National Cheng Kung University)

Scientist: Hou-Chun Arrien Liu (National Cheng Kung University)

Scientist: Joseph H. Street (University of California-Santa Cruz)

Scientist: Tzu-Hao David Wang (National Cheng Kung University)

Student, Data Manager: Kyle H. Hardage (University of California-Santa Cruz)

BCO-DMO Data Manager: Amber D. York (Woods Hole Oceanographic Institution)

Program: Science, Engineering and Education for Sustainability NSF-Wide Investment (SEES): Ocean Acidification (formerly CRI-OA) (SEES-OA)

Project: Calcification in low saturation seawater: What can we learn from organisms in the proximity of low pH; undersaturated submarine springs (CalcificationLowSatSeawater)

Abstract

This dataset includes isotopes (δ11B, 87Sr/86Sr, δ18O, δ13C), elemental concentrations (B, Mg, Ca), and carbon content collected from the foraminifera Ammonia parkinsoniana and sediments in Celestun Lagoon, Yucatan, Mexico in June 2009 and May 2015. Sediment cores were taken with push corers and piston corers. Sampling site were distributed unevenly along a transect along the lagoon. These data were collected to investigate the influence of low-pH groundwater-seawater mixing on the boron isotope...

Show more
Cite Dataset

Location: Celestún Biosphere Reserve, Yucatan, Mexico.   20.88 N 90.36 E depth 0.5 m.
Collection: Data collected from dinghy. No vessel name. June 2009 and May 2015.

Sediment cores were collected during three expeditions to Celestun Lagoon in 2006, 2009, and 2015. Sediments were stored in cold (4 Celcius) storage. Short cores were sectioned at 2 cm intervals, and long cores were processed at 5 cm resolution. Foraminifera samples were sieved, deflocculated, and handpicked for geochemical analysis, including δ11B, 87Sr/86Sr, and δ18O.

Additional methods citations:

  • Boron isotope method: Wang et al. (2020).
  • Strontium isotope method: Liu et al. (2012).
  • pH and borate equations: Foster et al. (2016).
  • Organic carbon in sediments. Modified to use chilled sulfuric acid with sonication to ensure complete decarbonation: Verardo et al. (1990).

Related dataset descriptions (See section "Related Datasets" for data citations):

Water samples:
BCO-DMO dataset https://www.bco-dmo.org/dataset/941377 contains water sample data collected concurrently with the May 2015 sampling event.

This study and Paytan (2021, BCO-DMO dataset https://www.bco-dmo.org/dataset/564766) both derive groundwater from the same regional aquifer in Yucatan, Mexico, and both studies review the effects of low-pH springs on saturation and calcification of organisms. They are different sample material.

The sediment cores and assemblages in Hardage et al. (2021, doi:10.25921/qkc1-yw35) at NOAA provide the sample material for the geochemistry reported in this study (foraminifera, bulk sediment, physical observations). The Hardage et al. (2021) dataset also contains additional lithology and geochemistry that can be paired with these new data for interested parties.

Organism Life Science Identifier (LSID):
Ammonia parkinsoniana, urn:lsid:marinespecies.org:taxname:418095

Instrument and equipment list:

Piston, Bolivia, Livingstone corers: coring devices used to collect sediments.
0.5 mL micro-centrifuge tubes: used to store crushed foraminifera for cleaning.
Neptune multi-collector inductively coupled plasma mass spectrometer (MC-ICPMS).
Thermo Scientific Element XR ICPMS.
Kiel IV Carbonate Device.
ThermoScientific MAT-253 dual-inlet isotope ratio mass spectrometer.
Carlo Erba elemental analyzer IRMS.

Related Datasets

IsRelatedTo
Dataset: Low-pH springs: water samples
Relationship Description: Datasets collected as part of the same study. Both contain data from samples collected from Celestun Lagoon, Yucatan, Mexico in May of 2015.
Hardage, K. H., Wang, T. D., Liu, H. A., You, C., Herrera-Silveira, J. A., Street, J. H., Paytan, A. (2024) Measured and calculated geochemistry values and uncertainty for water samples taken from the water column of Celestun Lagoon, Yucatan, Mexico in May of 2015. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2024-10-25 doi:10.26008/1912/bco-dmo.941377.1
IsRelatedTo
Dataset: https://doi.org/10.25921/qkc1-yw35
Hardage, K., Street, J., Herrera-Silveira, J. A., Oberle, F. K. J., & Paytan, A. (2021). <i>NOAA/WDS Paleoclimatology - Celestun Lagoon, Yucatan 5300 Year Foraminifera Census and Geochemistry</i> [Data set]. NOAA National Centers for Environmental Information. https://doi.org/10.25921/QKC1-YW35
IsRelatedTo
Dataset: Recruitment and Succession
Relationship Description: Low-pH spring studies on the eastern coast of the Yucatan Peninsula. Both derive groundwater from the same regional aquifer in Yucatan, Mexico, and both studies review the effects of low-pH springs on saturation and calcification of organisms. They used different sample material.
Paytan, A. (2021) Results of an experiment on recruitment and succession on a tropical benthic reef community in response to in-situ ocean acidification in Puerto Morelos, Quintana Roo, Mexico from 2010-2011 (CalcificationLowSatSeawater project). Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2015-09-09 doi:10.26008/1912/bco-dmo.564766.1

Related Publications

Results
Hardage, K. H., Wang, T.-H., Liu, H.-C., You, C.-F., Herrera-Silveira, J. A., Steet, J. H., and Paytan, A. (in review). δ11B variability in Ammonia parkinsoniana and implications for paleo-pH in coastal margins. Paleoceanography and Paleoclimatology.
Methods
Foster, G. L., & Rae, J. W. B. (2016). Reconstructing Ocean pH with Boron Isotopes in Foraminifera. Annual Review of Earth and Planetary Sciences, 44(1), 207–237. https://doi.org/10.1146/annurev-earth-060115-012226
Methods
Liu, H.-C., You, C.-F., Huang, K.-F., & Chung, C.-H. (2012). Precise determination of triple Sr isotopes (δ87Sr and δ88Sr) using MC-ICP-MS. Talanta, 88, 338–344. https://doi.org/10.1016/j.talanta.2011.10.050
Methods
Verardo, D. J., Froelich, P. N., & McIntyre, A. (1990). Determination of organic carbon and nitrogen in marine sediments using the Carlo Erba NA-1500 analyzer. Deep Sea Research Part A. Oceanographic Research Papers, 37(1), 157–165. https://doi.org/10.1016/0198-0149(90)90034-s
Methods
Wang, B.-S., You, C.-F., Huang, K.-F., Wu, S.-F., Aggarwal, S. K., Chung, C.-H., & Lin, P.-Y. (2010). Direct separation of boron from Na- and Ca-rich matrices by sublimation for stable isotope measurement by MC-ICP-MS. Talanta, 82(4), 1378–1384. doi:10.1016/j.talanta.2010.07.010

Hardage, K. H., Wang, T. D., Liu, H. A., You, C., Herrera-Silveira, J. A., Paytan, A. (2024) Isotopes (d11B, 87Sr/86Sr, d18O, d13C), elemental concentrations (B, Mg, Ca), and carbon content collected from the foraminifera Ammonia parkinsoniana and sediments in Celestun Lagoon, Yucatan, Mexico in June 2009 and May 2015. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2024-10-25 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.941327.1 [access date]

Terms of Use

This dataset is licensed under Creative Commons Attribution 4.0.


If you wish to use this dataset, it is highly recommended that you contact the original principal investigators (PI). Should the relevant PI be unavailable, please contact BCO-DMO (info@bco-dmo.org) for additional guidance. For general guidance please see the BCO-DMO Terms of Use document.

NSF Logo©2020 Biological and Chemical Oceanography Data Management Office.
Funded by the U.S. National Science Foundation