# Wax Lips Lake, Greenland Plant Wax Hydrogen, Chironomid Oxygen Isotopes and Reconstructed Water Isotopes from the Holocene #----------------------------------------------------------------------- # World Data Service for Paleoclimatology, Boulder # and # NOAA Paleoclimatology Program #----------------------------------------------------------------------- # Template Version 4.0 # Encoding: UTF-8 # NOTE: Please cite original publication, NOAA Landing Page URL, dataset and publication DOIs (where available), and date accessed when using downloaded data. # If there is no publication information, please cite investigator, study title, NOAA Landing Page URL, and date accessed. # # Description/Documentation lines begin with '#' followed by a space # Data lines have no '#' # # NOAA_Landing_Page: https://www.ncei.noaa.gov/access/paleo-search/study/38420 # Landing_Page_Description: NOAA Landing Page of this file's parent study, which includes all study metadata. # # Study_Level_JSON_Metadata: https://www.ncei.noaa.gov/pub/data/metadata/published/paleo/json/noaa-lake-38420.json # Study_Level_JSON_Description: JSON metadata of this data file's parent study, which includes all study metadata. # # Data_Type: Paleolimnology # # Dataset_DOI: 10.25921/wgbe-f744 # # Science_Keywords: Precipitation Reconstruction, Arctic, biogeochemical cycles, carbon cycle, millennial resolution #--------------------------------------- # Resource_Links # # Data_Download_Resource: https://www.ncei.noaa.gov/pub/data/paleo/paleolimnology/greenland/mcfarlin2023/mcfarlin2023-co1211_d13c.txt # Data_Download_Description: NOAA Template File; Carbon Isotope Data # #--------------------------------------- # Contribution_Date # Date: 2023-08-25 #--------------------------------------- # File_Last_Modified_Date # Date: 2023-10-19 #--------------------------------------- # Title # Study_Name: Wax Lips Lake, Greenland Plant Wax Hydrogen, Chironomid Oxygen Isotopes and Reconstructed Water Isotopes from the Holocene #--------------------------------------- # Investigators # Investigators: McFarlin, Jamie (https://orcid.org/0000-0002-8185-8185); Axford, Yarrow (https://orcid.org/0000-0002-8033-358X); Kusch, Stephanie (https://orcid.org/0000-0002-2708-4975); Masterson, Andrew (https://orcid.org/0000-0002-3422-2985); Lasher, Gregory; Osburn, Magdalena (https://orcid.org/0000-0001-9180-559X) #--------------------------------------- # Description_Notes_and_Keywords # Description: # Provided Keywords: Holocene, lakes, water isotope reconstructions, plant waxes, biomarkers, carbon cycling, methane #--------------------------------------- # Publication # Authors: McFarlin, J.M., Axford, Y., Kusch, S., Masterson, A.L., Lasher, G.E., Osburn, M.R. # Published_Date_or_Year: 2023-09-23 # Published_Title: Aquatic plant wax hydrogen and carbon isotopes in Greenland lakes record shifts in methane cycling during past Holocene warming # Journal_Name: Science Advances # Volume: 9 # Edition: # Issue: 39 # Pages: # Report_Number: # DOI: 10.1126/sciadv.adh9704 # Online_Resource: # Full_Citation: # Abstract: Predicting changes to methane cycling in Arctic lakes is of global concern in a warming world but records constraining lake methane dynamics with past warming are rare. Here, we demonstrate that the hydrogen isotopic composition (δ2H) of mid-chain waxes derived from aquatic moss clearly decouples from precipitation during past Holocene warmth and instead records incorporation of methane in plant biomass. Trends in δ2Hmoss and δ13Cmoss values point to widespread Middle Holocene (11,700 to 4200 years ago) shifts in lake methane cycling across Greenland during millennia of elevated summer temperatures, heightened productivity, and lowered hypolimnetic oxygen. These data reveal ongoing warming may lead to increases in methane-derived C in many Arctic lakes, including lakes where methane is not a major component of the C cycle today. This work highlights a previously unrecognized mechanism influencing δ2H values of mid-chain wax and draws attention to the unquantified role of common aquatic mosses as a potentially important sink of lake methane across the Arctic. #--------------------------------------- # Funding_Agency # Funding_Agency_Name: National Science Foundation # Grant: 1108306, 1107411, 1454734 #--------------------------------------- # Site_Information # Site_Name: Trifna So # Location: Greenland # Northernmost_Latitude: 79.99 # Southernmost_Latitude: 79.99 # Easternmost_Longitude: -22.85 # Westernmost_Longitude: -22.85 # Elevation_m: 561 #--------------------------------------- # Data_Collection # Collection_Name: Co1211_d13C # First_Year: # Last_Year: # Time_Unit: # Core_Length_m: 1.06 # Parameter_Keywords: carbon isotopes # Notes: additional data archived in Pangaea database (doi.org/10.1594/PANGAEA.900270) #--------------------------------------- # Chronology_Information # Chronology: # Chronology data originally reported in Kusch et al., 2019 (doi: 10.1111/bor.12377); age model based on core correlation with Sneha So # composite depth (cm) linear age model (cal yrs BP) # 1 0 # 2 100 # 3 200 # 4 300 # 5 400 # 6 500 # 7 600 # 8 700 # 9 800 # 10 900 # 11 1000 # 12 1100 # 13 1200 # 14 1311.53846153846 # 15 1423.07692307692 # 16 1534.61538461538 # 17 1646.15384615385 # 18 1757.69230769231 # 19 1869.23076923077 # 20 1980.76923076923 # 21 2092.30769230769 # 22 2203.84615384615 # 23 2315.38461538462 # 24 2426.92307692308 # 25 2538.46153846154 # 26 2650 # 27 2761.53846153846 # 28 2873.07692307692 # 29 2984.61538461538 # 30 3096.15384615385 # 31 3207.69230769231 # 32 3319.23076923077 # 33 3430.76923076923 # 34 3542.30769230769 # 35 3653.84615384615 # 36 3765.38461538462 # 37 3876.92307692308 # 38 3988.46153846154 # 39 4100 # 40 4179.41176470588 # 41 4258.82352941176 # 42 4338.23529411765 # 43 4417.64705882353 # 44 4497.05882352941 # 45 4576.47058823529 # 46 4655.88235294118 # 47 4735.29411764706 # 48 4814.70588235294 # 49 4894.11764705882 # 50 4973.52941176471 # 51 5052.94117647059 # 52 5132.35294117647 # 53 5211.76470588235 # 54 5291.17647058824 # 55 5370.58823529412 # 56 5450 # 57 5529.41176470588 # 58 5608.82352941176 # 59 5688.23529411765 # 60 5767.64705882353 # 61 5847.05882352941 # 62 5926.47058823529 # 63 6005.88235294118 # 64 6085.29411764706 # 65 6164.70588235294 # 66 6244.11764705882 # 67 6323.52941176471 # 68 6402.94117647059 # 69 6482.35294117647 # 70 6561.76470588235 # 71 6641.17647058824 # 72 6720.58823529412 # 73 6800 # 74 6852.63157894737 # 75 6905.26315789474 # 76 6957.8947368421 # 77 7010.52631578947 # 78 7063.15789473684 # 79 7115.78947368421 # 80 7168.42105263158 # 81 7221.05263157895 # 82 7273.68421052632 # 83 7326.31578947368 # 84 7378.94736842105 # 85 7431.57894736842 # 86 7484.21052631579 # 87 7536.84210526316 # 88 7589.47368421053 # 89 7642.1052631579 # 90 7694.73684210526 # 91 7747.36842105263 # 92 7800 # 93 7880 # 94 7960 # 95 8040 # 96 8120 # 97 8200 # 98 8280 # 99 8360 # 100 8440 # 101 8520 # 102 8600 # 103 8680 # 104 8760 # 105 8840 # #--------------------------------------- # Variables # PaST_Thesaurus_Download_Resource: https://www.ncei.noaa.gov/access/paleo-search/skos/past-thesaurus.rdf # PaST_Thesaurus_Download_Description: Paleoenvironmental Standard Terms (PaST) Thesaurus terms, definitions, and relationships in SKOS format. # # Data variables follow that are preceded by "##" in columns one and two. # Variables list, one per line, shortname-tab-var components: what, material, error, units, seasonality, data type, detail, method, C or N for Character or Numeric data) # ## depth_cm depth,,,centimeter,,paleolimnology,,,N,depth measured from top of core; age model based on composite profile ## d13C_C21 delta 13C,C21 n-alkane,,per mil VPDB,,paleolimnology,,isotope ratio mass spectrometry,N, ## C21_err delta 13C,C21 n-alkane,one standard deviation,per mil VPDB,,paleolimnology,,isotope ratio mass spectrometry,N, ## d13C_C23 delta 13C,C23 n-alkane,,per mil VPDB,,paleolimnology,,isotope ratio mass spectrometry,N, ## C23_err delta 13C,C23 n-alkane,one standard deviation,per mil VPDB,,paleolimnology,,isotope ratio mass spectrometry,N, ## d13C_C25 delta 13C,C25 n-alkane,,per mil VPDB,,paleolimnology,,isotope ratio mass spectrometry,N, ## C25_err delta 13C,C25 n-alkane,one standard deviation,per mil VPDB,,paleolimnology,,isotope ratio mass spectrometry,N, ## d13C_C27 delta 13C,C27 n-alkane,,per mil VPDB,,paleolimnology,,isotope ratio mass spectrometry,N, ## C27_err delta 13C,C27 n-alkane,one standard deviation,per mil VPDB,,paleolimnology,,isotope ratio mass spectrometry,N, ## d13C_C29 delta 13C,C29 n-alkane,,per mil VPDB,,paleolimnology,,isotope ratio mass spectrometry,N, ## C29_err delta 13C,C29 n-alkane,one standard deviation,per mil VPDB,,paleolimnology,,isotope ratio mass spectrometry,N, ## d13C_C31 delta 13C,C31 n-alkane,,per mil VPDB,,paleolimnology,,isotope ratio mass spectrometry,N, ## C31_err delta 13C,C31 n-alkane,one standard deviation,per mil VPDB,,paleolimnology,,isotope ratio mass spectrometry,N, ## d13C_C33 delta 13C,C33 n-alkane,,per mil VPDB,,paleolimnology,,isotope ratio mass spectrometry,N, ## C33_err delta 13C,C33 n-alkane,one standard deviation,per mil VPDB,,paleolimnology,,isotope ratio mass spectrometry,N, #------------------------ # Data: # Data lines follow (have no #) # Data line format - tab-delimited text, variable short name as header # Missing_Values: depth_cm d13C_C21 C21_err d13C_C23 C23_err d13C_C25 C25_err d13C_C27 C27_err d13C_C29 C29_err d13C_C31 C31_err d13C_C33 C33_err 1.5 -30.9 0.0 -31.0 0.2 -32.4 0.1 -32.2 0.1 -32.4 0.1 -33.4 0.0 -32.5 0.3 9.5 -31.2 0.1 -30.2 0.1 -32.2 0.1 -32.5 0.2 -32.2 0.1 -33.2 0.1 -33.4 0.1 21.5 -32.0 0.2 -32.7 0.2 -32.4 0.4 -31.2 0.0 -33.0 0.4 -35.6 0.2 -31.0 0.2 29.5 -31.7 0.0 -32.2 0.1 -32.0 0.0 -32.1 0.0 -32.4 0.1 -33.2 0.2 -31.9 0.4 37.5 -31.8 0.0 -32.8 0.8 -33.9 0.2 -32.4 0.0 -32.3 0.0 -32.8 0.1 -31.7 0.0 49.5 -31.0 0.3 -31.2 0.3 -32.8 0.1 -32.9 0.3 -32.8 0.2 -33.9 0.0 -32.1 0.2 59.5 -32.4 0.2 -33.7 0.2 -32.7 0.3 -32.0 0.4 -32.9 0.0 -33.0 0.3 -999.0 -999.0 59.5 -31.8 0.2 -33.4 0.0 -34.4 0.0 -32.3 0.1 -32.1 0.0 -32.1 0.1 -32.8 0.0 63.5 -31.3 0.0 -32.1 0.1 -31.8 0.0 -31.7 0.1 -32.2 0.0 -33.0 0.0 -32.8 0.1 67.5 -33.2 0.3 -34.5 0.1 -31.5 0.1 -31.5 0.1 -31.6 0.0 -33.1 0.0 -32.8 0.1 71.5 -32.9 0.1 -35.0 0.1 -32.5 0.0 -32.4 0.1 -32.8 0.1 -33.8 0.2 -33.7 0.0 75.5 -30.5 0.1 -32.0 0.0 -31.2 0.0 -31.2 0.1 -31.9 0.0 -34.1 0.0 -33.3 0.2 79.5 -31.3 0.0 -33.1 0.0 -31.4 0.0 -31.3 0.0 -31.9 0.1 -32.5 0.0 -33.2 0.3 83.5 -30.5 0.3 -31.9 0.1 -30.8 0.2 -31.2 0.0 -31.8 0.1 -33.1 0.1 -32.7 0.0 87.5 -30.7 0.1 -32.5 0.2 -31.0 0.1 -31.2 0.0 -31.8 0.0 -32.9 0.1 -33.2 0.1 91.5 -29.1 0.2 -29.8 0.1 -30.3 0.1 -31.6 0.2 -31.7 0.4 -33.1 0.1 -33.1 0.1 95.5 -30.9 0.5 -30.9 0.2 -31.7 0.1 -32.5 0.1 -32.4 0.1 -34.0 0.2 -999.0 -999.0