Abstract:
The dataset comprises of site data and multiproxy analyses of the LP16 lake sediment cores extracted from Lago Pato, a small lake basin at 51.3031 S, 72.6816 W and approx 33 m a.s.l., which is topographically separated from Lago del Toro in Torres del Paine (TdP). The data are used to constrain glacier dynamics and lake level change in the TdP and Ultima Esperanza region over the last approx 30,000 cal a BP (30 ka).
Data for the LP16 sediment record consist of downcore measurements of biology, chronology, geochemistry, sedimentology proxy data collected extracted a current terrestrial shoreline in November 2015.
This project was funded by the Natural Environment Research Council (NERC) through the British Antarctic Survey (BAS) and an UGent BOF bilateral collaboration project. RMcC was supported by Programa Regional R17A10002 and R20F0002 (PATSER) ANID. We gratefully acknowledge the University of Magallanes (UMAG) and the University of Santiago (Carolina Diaz) for assistance with fieldwork; the NERC/SUERC AMS Radiocarbon Facility for providing initial range-finder radiocarbon dates; the NERC Isotope Geosciences Laboratory (NIGL, now National Environmental Isotope Facility, NEIF, at the British Geological Survey) and Melanie Lang for stable carbon isotope analysis; Aberystwyth University (David Kelly), Durham University (Neil Tunstall and Christopher Longley) and Edinburgh University (Chris Hayward) for use of their core scanning and microprobe facilities and technical support.
Keywords:
Last Glacial Maximum, Patagonia, Southern Hemisphere Westerly Winds, glaciation, lake level changes, palaeoclimate, palaeolimnology
Roberts, S., McCulloch, R., Emmings, J., Davies, S., Vyverman, W., Verleyen, E., & Hayward, C. (2022). Biological, chronological, geochemical and physical sedimentological data for the LP16 lake sediment record extracted from Lago Pato, Torres del Paine, Southern Chile in 2015 (Version 1.0) [Data set]. NERC EDS UK Polar Data Centre. https://doi.org/10.5285/f85ee4eb-8918-4aa4-8e51-6c46f4c812cb
| Access Constraints: | No restrictions apply. |
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| Use Constraints: | This data is governed by the NERC data policy http://www.nerc.ac.uk/research/sites/data/policy/ and supplied under Open Government Licence v.3 http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/. |
| Creation Date: | 2022-02-28 |
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| Dataset Progress: | Planned |
| Dataset Language: | English |
| ISO Topic Categories: |
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| Parameters: |
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| Personnel: | |
| Name | UK Polar Data Centre |
| Role(s) | Metadata Author |
| Organisation | British Antarctic Survey |
| Name | Dr Stephen J Roberts |
| Role(s) | Investigator, Technical Contact |
| Organisation | British Antarctic Survey |
| Name | Robert D McCulloch |
| Role(s) | Investigator |
| Organisation | Centro de Investigacion en Ecosistemas de la Patagonia (CIEP) |
| Name | Joseph F Emmings |
| Role(s) | Investigator |
| Organisation | British Geological Survey |
| Name | Sarah J Davies |
| Role(s) | Investigator |
| Organisation | Aberystwyth University |
| Name | Dr Wim Vyverman |
| Role(s) | Investigator |
| Organisation | Ghent University |
| Name | Dr Elie Verleyen |
| Role(s) | Investigator |
| Organisation | Ghent University |
| Name | Chris Hayward |
| Role(s) | Investigator |
| Organisation | Grant Institute |
| Parent Dataset: | N/A |
| Reference: | Roberts, S.J., McCulloch, R.D.M., Emmings, J., et al. (2022) Late glacial and Holocene palaeolake history of the Última Esperanza region of Southern Patagonia. Frontiers in Earth Science, 10. https://doi.org/10.3389/feart.2022.813396 | |
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| Quality: | Geochemistry ITRAXTM XRF Raw count per second (cps) data were analysed using the Q-spec software v8.6.0 (Cox Analytical), with MSE values minimised to optimise the fit of 'as measured' spectra to a modelled spectrum. data are presented as percentages of the Total Scatter Normalised ratio sum (%TotalTSN or, more simply, %TSN, which are equivalent to percentages of the cps sum, or %cps) to account for downcore variations in count rate, density, water and organic content. Data less than mean minus two-sigma kcps (mainly due to gaps in the core) and greater than MSE plus two-sigma (representing a poor fit between measured to modelled spectra) were filtered before analysis. 'Noisy' elements were eliminated by comparing cps and using%TSN thresholds of >0.1% mean and >0.5% maximum, and by examining autocorrelation profiles for each element (Bishop, 2021).This left 17 'measurable' elements for the LP16 record (Si , S, K, Ca, Ti, V, Cr, Mn, Fe, Ni, Zn, As, Br, Rb, Sr, Zr , Ba, and inc., coh. scatter). Elements are presented as natural log (log n or Ln) ratios. Ti-normalised log n ratios are used to estimate changes in relation to the background bedrock input. Duplicates runs were undertaken on approx10% of the total core depth (LP16-3B at 200 and 500 microns). Chronology Radiocarbon ages were rounded to the nearest 10 calendar years (cal a BP) in file LP16_C14_data.csv and the results section and to the nearest 100 years (0.1 cal ka BP) in the discussion to reflect dating and age-depth modelling uncertainties. Geochemical XRF-Core scanning data were measured at 500 micrometers for LP16 Units 2-6 (9.6±17.4 years) and at 200 micrometers for LP16 Unit 1 200 micrometers (1.1±1.6 years). Data from finely laminated glaciolacustrine sediments in Units 1-2 were measured at or smoothed to 200 micrometers (from 100 micrometers interval data) before analysis. |
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| Lineage: | Sediment cores were collected using a 50 cm long Russian corer from the terrestrial shoreline of Lago Pato (LP16: 51.3031 S, 72.6816 W, 33-34 m a.s.l., 295 cm long total recovered sediment depth). Chronology A chronology was established using Accelerator Mass Spectrometry (AMS) radiocarbon dating 15 samples. Calibration of radiocarbon ages was undertaken in OXCAL v.4.4 using the SHCal20.14C Southern Hemisphere atmosphere calibration curve (SH20). Radiocarbon ages are reported as conventional radiocarbon years BP (14C years BP) ±1sigma and calibrated ages as 2sigma (95.4%) ranges, median and mean calendar years BP (cal a BP and cal ka BP, relative to 1950 CE), rounded to the nearest ten years. Age-depth models were developed using Bayesian age-depth modelling software (rBACON v.2.5). Modelled age data mean ages produced by the SH20M1H (Southern Hemisphere, SHcal20, radiocarbon calibration curve) in rBACON, where M1 indicates Model 1 and H indicates the inclusion of a hiatus in the model. Geochemistry Contiguous downcore wet-sediment Energy Dispersive Spectrometry (EDS) X-ray fluorescence core scanning (XRF-CS) data was collected using an ITRAXTM XRF core scanner fitted with a Molybdenum (Mo) anode X-ray tube (settings: 30 kV, 50 mA, count time 10 seconds, at 500 micrometers for LP16 Units 2-6 (9.6±17.4 years) and at 200 micometers for LP16 Unit 1 200 micrometers (1.1±1.6 years). Tephra glass shard geochemistry was analysed using the Cameca SX-100 electron probe microanalyser (EPMA) at the Tephra Analytical Unit, University of Edinburgh with a beam diameter of 8 micrometers and run conditions: 15 keV/2 nA (Al, Ka, Si Ka, K Ka, Ca Ka, Na Ka, Mg Ka, K Ka, Ca Ka, Fe Ka); 15 keV/80 nA (P Ka, Ti Ka, Mn Ka, P Ka, Ti Ka). New shard geochemical data was compared to a database of distal tephra major element glass shard analyses from Southern South America. Sedimentology Physical properties were measured with a Geotek® multi-sensor core logger (MSCL) (gamma-ray wet density (gamma-density), resistivity and magnetic susceptibility (MSkappa; SI x 10-5) data (Bartington Instruments; LP08: MS2C loop sensor, 2 mm intervals, 10 seconds; LP16: MS2E point sensor, 0.5 mm intervals; 10 seconds) and density-corrected MSkappa (kappa/rho; kg m-3)). Digital X-radiographs were obtained from split cores using a rotating anode mobile digital Celtic SMR CR computerised X radiography unit at Cambridge University Vet School (48kV; 4 mAs; no grid) and as ITRAX generated digital X-radiographs (45 kV, 50 mA.ms, 200 ms, 60 µm interval) at Aberystwyth University. Subsample data includes Loss-on-ignition (LOI) (12 hrs drying at 110°C, 4 hrs at 550°C (LOI550), and 2 hrs at 950°C for carbonate-proxy (LOI950x1.36), TOC (Total Organic Carbon (%C or %Corg) and total nitrogen (%N) and carbon isotopic ratios (delta13C). Data were analysed in MATLAB v. R2021a, R v. 4.1.0/Rstudio v. 1.4.171, using the R packages Vegan, Rioja, Tidyverse, ggplot2, Ggally v. 2.1.2, and in Sigmaplot v. 14.0 and C2 v.1.7.7. Code is available from: https://github.com/stever60/Lago_Pato |
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| Spatial Coverage: | |
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| Latitude | |
| Southernmost | -51.30314 |
| Northernmost | -51.30314 |
| Longitude | |
| Westernmost | -72.68158 |
| Easternmost | -72.68158 |
| Altitude | |
| Min Altitude | N/A |
| Max Altitude | N/A |
| Depth | |
| Min Depth | N/A |
| Max Depth | N/A |
| Location: | |
| Location | Chile |
| Detailed Location | Lago Pato, Torres del Paine National Park, Patagonia |
| Data Storage: | Geochemistry ITRAXTM XRF Raw count per second (cps) data were analysed using the Q-spec software v8.6.0 (Cox Analytical), with MSE values minimised to optimise the fit of 'as measured' spectra to a modelled spectrum. data are presented as percentages of the Total Scatter Normalised ratio sum (%∑TSN or, more simply, %TSN, which are equivalent to percentages of the cps sum, or %cps) to account for downcore variations in count rate, density, water and organic content. Data less than mean minus two-sigma kcps (mainly due to gaps in the core) and greater than MSE plus two-sigma (representing a poor fit between measured to modelled spectra) were filtered before analysis. 'Noisy' elements were eliminated by comparing cps and using %TSN thresholds of >0.1% mean and >0.5% maximum, and by examining autocorrelation profiles for each element (Bishop, 2021). This left 17 'measurable' elements for the LP16 record (Si , S, K, Ca, Ti, V, Cr, Mn, Fe, Ni, Zn, As, Br, Rb, Sr, Zr , Ba, and inc., coh. scatter). Elements are presented as natural log (log n or Ln) ratios. Ti-normalised log n ratios are used to estimate changes in relation to the background bedrock input. Duplicates runs were undertaken on ~10% of the total core depth (LP16-3B at 200 and 500 microns). Chronology Radiocarbon ages were rounded to the nearest 10 calendar years (cal a BP) in file LP16_C14_data.csv and the results section and to the nearest 100 years (0.1 cal ka BP) in the discussion to reflect dating and age-depth modelling uncertainties. |
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