Complementary Geochemical, mineralogical and microbiological analyses of materials collected on the Greenland Ice Sheet
Cite as:
McCutcheon, Jenine; Lutz, Stefanie; Williamson, Christopher; Cook, Joseph M.; Tedstone, Andrew J.; Vanderstraeten, Aubry; Wilson, Siobhan A.; Stockdale, Anthony; Bonneville, Steeve; Anesio, Alexandre M.; Yallop, Marian L.; McQuaid, James B.; Tranter, Martyn; Benning, Liane G. (2021): Complementary Geochemical, mineralogical and microbiological analyses of materials collected on the Greenland Ice Sheet. GFZ Data Services. https://doi.org/10.5880/fidgeo.2021.049
Status
I N R E V I E W : McCutcheon, Jenine; Lutz, Stefanie; Williamson, Christopher; Cook, Joseph M.; Tedstone, Andrew J.; Vanderstraeten, Aubry; Wilson, Siobhan A.; Stockdale, Anthony; Bonneville, Steeve; Anesio, Alexandre M.; Yallop, Marian L.; McQuaid, James B.; Tranter, Martyn; Benning, Liane G. (2021): Complementary Geochemical, mineralogical and microbiological analyses of materials collected on the Greenland Ice Sheet. GFZ Data Services. https://doi.org/10.5880/fidgeo.2021.049
Abstract
This data publication is supplementary material to McCutcheon et al. (2021): "Melting of the Greenland Ice Sheet is a leading cause of land-ice mass loss and cryosphere-attributed sea level rise. Blooms of pigmented glacier ice algae lower ice albedo and accelerate surface melting in the ice sheet’s southwest sector. Although glacier ice algae cause up to 13% of the surface melting in this region, the controls on bloom development remain poorly understood. Here we show a direct link between mineral phosphorus in surface ice and glacier ice algae biomass through the quantification of solid and fluid phase phosphorus reservoirs in surface habitats across the southwest ablation zone of the ice sheet. We demonstrate that nutrients from mineral dust likely drive glacier ice algal growth, and thereby identify mineral dust as a secondary control on ice sheet melting."
Tables included in this data publication:
Supplementary Table 1. Locations, dates and sample types collected for particulate analyses. Sites 4a and 4b were the base camp locations for 2016 and 2017, respectively.
Supplementary Table 2. Results of a Tukey HSD test with a 95% family-wise confidence interval for Fv/Fm measurements made at 24 h and 120 h in the nutrient addition experiment.
Supplementary Table 3. Results of a Tukey HSD test with a 95% family-wise confidence interval for rETRmax measurements made at 24 h and 120 h in the nutrient addition experiment.
Supplementary Table 4. Glacier algal cell concentrations (cells·mL-1) at the end of the 120 h nutrient incubation experiment. Glacier algae assemblage used for the incubations had an initial mean cell concentration of 8.0 ± 2.1 103 cells·mL-1.
Supplementary Table 5. Carbon, nitrogen, and phosphorus content of solid LAPs collected from melted surface ice. TC: total carbon. TOC: total organic carbon, IC: inorganic carbon, Pexch: exchangeable/loosely bound phosphorus, Pmin: mineral phosphorus, Porg: organic phosphorus.
Supplementary Table 6. Mineral phase abundances in 2016 and 2017 particulate samples as determined by Rietveld refinement with powder X-ray diffraction data. Abundances given as weight percent of total mineral dust (n=20).
Supplementary Table 7. Mineral class abundances in high algal biomass (Hbio) ice sampled across the ablation zone in 2016. Values listed in weight percent of total mineral dust % (+/- standard error where applicable). Two-sided t-test comparing of mineral class abundances between site 3 and 4a.
Supplementary Table 8. Major cation and anion concentrations in the fluid phase and pH, conductivity and total dissolved solids (TDS) of supraglacial stream water and melted ice and snow samples. LOD: level of detection, LOQ: level of quantification, ND: no data.
Supplementary Table 9. Number of raw and processed sequences after each quality filtering step for 16S, ITS2 and 18S.
Supplementary Table 10. Table shows the full bacterial community composition with the taxonomic assignments of each ASV on the lowest possible level. Values represent the relative abundances of the 16S ASVs in percentage of the total number of sequences and collapsed on the species level. Values are rounded to one decimal place, thus “<” represents relative abundance values < 0.05 and > 0.
Supplementary Table 11. Table shows the full eukaryotic community composition collapsed into higher eukaryotic taxonomic groups. Values represent the relative abundance of the 18S ASVs in percentage of the total number of sequences and collapsed on the species level. Values are rounded to one decimal place, thus “<” represents relative abundance < 0.05 and > 0.
Supplementary Table 12. Table shows the fungal community composition with the taxonomic assignments of the ten most abundant ASV on the lowest possible level. The representative sequences were blasted against NCBI and the closest accession number with the respective similarity were recorded. If several hits shared the similarity one hit was chosen as an example (“e.g.”). Values represent the relative abundance of the ITS2 ASVs in percentage of the total number of sequences. Values are rounded to one decimal place, thus “<” represents relative abundance values < 0.05 and > 0.
Supplementary Table 13. Table shows the full algal community composition with the taxonomic assignments of each ASV on the lowest possible level. Values represent the relative abundance of the 18S ASVs in percentage of the total number of sequences. All ASVs were blasted against NCBI and the closest accession number with the respective similarity were recorded. If several hits shared the similarity one hit was chosen as an example (“e.g.”). Values are rounded to one decimal place, hence “<” represents relative abundance < 0.05 and > 0. *Based on light microscopic identifications in Lutz et al. (2018), this ASV likely represents Mesotaenium sp. (99.4% similarity with M. berggrenii var. alaskana) and not Ancylonema nordenskioeldii despite the slightly higher similarity (99.6%).
Supplementary Table 14. Rare Earth Element (REE) analysis concentrations (µg·g-1) for the mineral dust in particulate samples.
Technical Information
Scanning electron microscopy data was collected by J. McCutcheon using a Hitatchi 8230 SEM at the Leeds Electron Microscopy and Spectroscopy Centre (LEMAS), University of Leeds, UK. X-ray diffraction was conducted by J. McCutcheon using a Bruker D8 Advance Eco X-ray diffractometer (Bruker, Billerica, USA) with a Cu source at the University of Leeds, UK. ICP-MS was conducted by S. Reid using a Thermo Fisher iCAPQc ICP-MS at the University of Leeds, UK. Phosphorus was measured either using segmented flow-injection analysis (AutoAnalyser3, Seal Analytical), or for samples containing lower concentrations of phosphorus by A. Stockdale, using a 100 cm WPI Liquid Waveguide Capillary Cell in conjunction with an Ocean Optics USB2000+ spectrophotometer. Both analyses were conducted at the University of Leeds, UK. Ion chromatography was conducted by A. Viet-Hillebrand at the German Research Centre for Geosciences, Potsdam, Germany using a conductivity detector on a Dionex ICS 3000 system, equipped with an AS 11 HC Dionex analytical column. Carbon and nitrogen analysis was conducted by B. Plessen and S. Pinkerneil at German Research Centre for Geosciences, Potsdam, Germany using an NC2500 Carlo Erba elemental analyzer. Amplicon libraries were sequenced on the Illumina MiSeq using paired 300-bp reads at the University of Bristol Genomics Facility, Bristol, UK. Rare Earth element concentrations were measured by A. Vanderstraeten using HR-ICP-MS (ThermoFisher Element 2) at the Vrije Universiteit Brussel, Belgium. Particle size distribution was measured by K. Jurkschat using a DC24000 CPS disc centrifuge at Oxford Materials Characterisation Services, Oxford, UK.
Authors
McCutcheon, Jenine;School of Earth & Environment, University of Leeds, Leeds, UK;Department of Earth and Environmental Sciences, University of Waterloo, Waterloo, Canada
Lutz, Stefanie;GFZ German Research Centre for Geosciences, Potsdam, Germany
Williamson, Christopher;Bristol Glaciology Centre, University of Bristol, Bristol, UK;School of Biosciences, University of Bristol, Bristol, UK
Cook, Joseph M.;Institute of Biological, Environmental and Rural Sciences, Aberystwyth University, Aberystwyth, UK
Tedstone, Andrew J.;Bristol Glaciology Centre, University of Bristol, Bristol, UK
Vanderstraeten, Aubry;Department of Geosciences, Environment and Society, Université Libre de Bruxelles, Brussels, Belgium
Wilson, Siobhan A.;Department of Earth and Atmospheric Sciences, University of Alberta, Edmonton, Canada
Stockdale, Anthony;School of Earth & Environment, University of Leeds, Leeds, UK
Bonneville, Steeve;Department of Geosciences, Environment and Society, Université Libre de Bruxelles, Brussels, Belgium
Anesio, Alexandre M.;Department of Environmental Science, Aarhus University, Roskilde, Denmark
Yallop, Marian L.;School of Biosciences, University of Bristol, Bristol, UK
McQuaid, James B.;School of Earth & Environment, University of Leeds, Leeds, UK
Tranter, Martyn;Bristol Glaciology Centre, University of Bristol, Bristol, UK;Department of Environmental Science, Aarhus University, Roskilde, Denmark
Benning, Liane G.;GFZ German Research Centre for Geosciences, Potsdam, Germany;School of Earth & Environment, University of Leeds, Leeds, UK
Contact
McCutcheon, Jenine; Department of Earth and Environmental Sciences, University of Waterloo, Waterloo, Canada;
Contributors
Laboratory for Stable Isotopes and Elemental Analyses in Sediments and Water Samples (GFZ German Research Centre for Geosciences, Germany)
Keywords
mineral phosphorous, algae, Greenland Ice Sheet, albedo
contributorName: Laboratory for Stable Isotopes and Elemental Analyses in Sediments and Water Samples (GFZ German Research Centre for Geosciences, Germany)
affiliation: GFZ German Research Centre for Geosciences, Potsdam, Germany
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contributorName: McCutcheon, Jenine
affiliation: Department of Earth and Environmental Sciences, University of Waterloo, Waterloo, Canada
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CharacterString: This data publication is supplementary material to McCutcheon et al. (2021): "Melting of the Greenland Ice Sheet is a leading cause of land-ice mass loss and cryosphere-attributed sea level rise. Blooms of pigmented glacier ice algae lower ice albedo and accelerate surface melting in the ice sheet’s southwest sector. Although glacier ice algae cause up to 13% of the surface melting in this region, the controls on bloom development remain poorly understood. Here we show a direct link between mineral phosphorus in surface ice and glacier ice algae biomass through the quantification of solid and fluid phase phosphorus reservoirs in surface habitats across the southwest ablation zone of the ice sheet. We demonstrate that nutrients from mineral dust likely drive glacier ice algal growth, and thereby identify mineral dust as a secondary control on ice sheet melting."
Tables included in this data publication:
Supplementary Table 1. Locations, dates and sample types collected for particulate analyses. Sites 4a and 4b were the base camp locations for 2016 and 2017, respectively.
Supplementary Table 2. Results of a Tukey HSD test with a 95% family-wise confidence interval for Fv/Fm measurements made at 24 h and 120 h in the nutrient addition experiment.
Supplementary Table 3. Results of a Tukey HSD test with a 95% family-wise confidence interval for rETRmax measurements made at 24 h and 120 h in the nutrient addition experiment.
Supplementary Table 4. Glacier algal cell concentrations (cells·mL-1) at the end of the 120 h nutrient incubation experiment. Glacier algae assemblage used for the incubations had an initial mean cell concentration of 8.0 ± 2.1 103 cells·mL-1.
Supplementary Table 5. Carbon, nitrogen, and phosphorus content of solid LAPs collected from melted surface ice. TC: total carbon. TOC: total organic carbon, IC: inorganic carbon, Pexch: exchangeable/loosely bound phosphorus, Pmin: mineral phosphorus, Porg: organic phosphorus.
Supplementary Table 6. Mineral phase abundances in 2016 and 2017 particulate samples as determined by Rietveld refinement with powder X-ray diffraction data. Abundances given as weight percent of total mineral dust (n=20).
Supplementary Table 7. Mineral class abundances in high algal biomass (Hbio) ice sampled across the ablation zone in 2016. Values listed in weight percent of total mineral dust % (+/- standard error where applicable). Two-sided t-test comparing of mineral class abundances between site 3 and 4a.
Supplementary Table 8. Major cation and anion concentrations in the fluid phase and pH, conductivity and total dissolved solids (TDS) of supraglacial stream water and melted ice and snow samples. LOD: level of detection, LOQ: level of quantification, ND: no data.
Supplementary Table 9. Number of raw and processed sequences after each quality filtering step for 16S, ITS2 and 18S.
Supplementary Table 10. Table shows the full bacterial community composition with the taxonomic assignments of each ASV on the lowest possible level. Values represent the relative abundances of the 16S ASVs in percentage of the total number of sequences and collapsed on the species level. Values are rounded to one decimal place, thus “<” represents relative abundance values < 0.05 and > 0.
Supplementary Table 11. Table shows the full eukaryotic community composition collapsed into higher eukaryotic taxonomic groups. Values represent the relative abundance of the 18S ASVs in percentage of the total number of sequences and collapsed on the species level. Values are rounded to one decimal place, thus “<” represents relative abundance < 0.05 and > 0.
Supplementary Table 12. Table shows the fungal community composition with the taxonomic assignments of the ten most abundant ASV on the lowest possible level. The representative sequences were blasted against NCBI and the closest accession number with the respective similarity were recorded. If several hits shared the similarity one hit was chosen as an example (“e.g.”). Values represent the relative abundance of the ITS2 ASVs in percentage of the total number of sequences. Values are rounded to one decimal place, thus “<” represents relative abundance values < 0.05 and > 0.
Supplementary Table 13. Table shows the full algal community composition with the taxonomic assignments of each ASV on the lowest possible level. Values represent the relative abundance of the 18S ASVs in percentage of the total number of sequences. All ASVs were blasted against NCBI and the closest accession number with the respective similarity were recorded. If several hits shared the similarity one hit was chosen as an example (“e.g.”). Values are rounded to one decimal place, hence “<” represents relative abundance < 0.05 and > 0. *Based on light microscopic identifications in Lutz et al. (2018), this ASV likely represents Mesotaenium sp. (99.4% similarity with M. berggrenii var. alaskana) and not Ancylonema nordenskioeldii despite the slightly higher similarity (99.6%).
Supplementary Table 14. Rare Earth Element (REE) analysis concentrations (µg·g-1) for the mineral dust in particulate samples.
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;School of Earth & Environment, University of Leeds, Leeds, UK;Department of Earth and Environmental Sciences, University of Waterloo, Waterloo, Canada
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