# Lake Austre Nevlingen, Svalbard 12,000 Year Biomarker and Geochemical Data #----------------------------------------------------------------------- # World Data Service for Paleoclimatology, Boulder # and # NOAA Paleoclimatology Program # National Centers for Environmental Information (NCEI) #----------------------------------------------------------------------- # Template Version 3.0 # Encoding: UTF-8 # NOTE: Please cite Publication, and Online_Resource and date accessed when using these data. # If there is no publication information, please cite Investigators, Title, and Online_Resource and date accessed. # # Online_Resource: https://www.ncdc.noaa.gov/paleo/study/29852 # Description: NOAA Landing Page # Online_Resource: https://www.ncei.noaa.gov/pub/data/paleo/paleolimnology/europe/norway/austre-nevlingen2020ans1loi.txt # Description: NOAA location of the template # # Original_Source_URL: # Description: # # Description/Documentation lines begin with # # Data lines have no # # # Data Type: Paleolimnology # # Dataset DOI: # # Parameter_Keywords: geochemistry, hydrogen isotopes # #------------------ # Contribution_Date # Date: 2020-06-12 #------------------ # File_Last_Modified_Date # Modified_Date: 2020-06-12 #------------------ # Title # Study_Name: Lake Austre Nevlingen, Svalbard 12,000 Year Biomarker and Geochemical Data #------------------ # Investigators # Investigators: Kjellman, S.E.; Schomacker, A.; Thomas, E.K.; Hakansson, L.; Duboscq, S.; Cluett, A.A.; Farnsworth, W.R.; Allaart, L.; Cowling, O.C.; McKay, N.P.; Brynjolfsson, S.; Ingolfsson, O. #------------------ # Description_Notes_and_Keywords # Description: n-alkanoic acid hydrogen isotope (d2H) and concentration data, plus x-ray fluorescence elemental data and loss-on-ignition, from sediment cores ANS1 and ANP3, collected from lake Austre Nevlingen, northern Spitsbergen, Svalbard. Two-core composite fatty acid d2H data also presented. #------------------ # Publication # Authors: Sofia E. Kjellman, Anders Schomacker, Elizabeth K. Thomas, Lena Hakansson, Sandrine Duboscq, Allison A. Cluett, Wesley R. Farnsworth, Lis Allaart, Owen C. Cowling, Nicholas P. McKay, Skafti Brynjolfsson, Olafur Ingolfsson # Published_Date_or_Year: 2020-07-15 # Published_Title: Holocene precipitation seasonality in northern Svalbard: influence of sea ice and regional ocean surface conditions # Journal_Name: Quaternary Science Reviews # Volume: 240 # Edition: 106388 # Issue: # Pages: # Report: # DOI: 10.1016/j.quascirev.2020.106388 # Online_Resource: https://www.sciencedirect.com/science/article/pii/S0277379120303504 # Full_Citation: # Abstract: Arctic precipitation is predicted to increase in the coming century, due to a combination of enhanced northward atmospheric moisture transport and local surface evaporation from ice-free seas. However, large model uncertainties, limited long-term observations, and high spatiotemporal variability limit our understanding of these mechanisms, emphasizing the need for paleoclimate records of precipitation changes. Here we use lipid biomarkers in lake sediments to reconstruct precipitation seasonality in northern Spitsbergen, Svalbard. We measured the hydrogen isotopic ratios (d2H) of n-alkanoic acids (C20-C30) from sedimentary leaf waxes in lake Austre Nevlingen, Spitsbergen. We interpret d2H values of mid-chain (C22) and long-chain (C28) n-alkanoic acids to represent d2H of lake and soil water, respectively. Austre Nevlingen lake water d2H reflects amount-weighted mean annual precipitation d2H. In contrast, soil water is mostly recharged by summer rainfall, and therefore reflects d2H values of summer precipitation. Austre Nevlingen leaf wax d2H values are 2H-depleted in the Early Holocene, suggesting high winter precipitation amounts. This coincides with high summer insolation, strong Atlantic water advection and reduced spring sea-ice cover in surrounding waters. Winter precipitation continued to dominate until c. 6 cal. kyr BP. After 6 cal. kyr BP, the trend in the biomarker record is not as clear. This could be related to colder conditions causing longer duration of seasonal lake-ice cover, thereby influencing the precipitation seasonality registered by the lake water. The Austre Nevlingen record suggests a close relationship between precipitation seasonality and regional ocean surface conditions, consistent with simulations suggesting that Arctic winter sea-ice loss will lead to increased local evaporation. #------------------ # Funding_Agency # Funding_Agency_Name: Carlsberg Foundation # Grant: CF14-0756 #------------------ # Funding_Agency # Funding_Agency_Name: Svalbard Environmental Protection Fund # Grant: 17/101, 17/114 #------------------ # Funding_Agency # Funding_Agency_Name: Nansen Foundation # Grant: #------------------ # Funding_Agency # Funding_Agency_Name: National Science Foundation Grant # Grant: 1652274 #------------------ # Funding_Agency # Funding_Agency_Name: University Centre in Svalbard (UNIS) Research Fund # Grant: #------------------ # Funding_Agency # Funding_Agency_Name: University at Buffalo # Grant: UB Center for Undergraduate Research and Creative Activities grant #------------------ # Site_Information # Site_Name: Austre Nevlingen # Location: Ocean>Atlantic Ocean>North Atlantic Ocean>Svalbard and Jan Mayen # Country: Norway # Northernmost_Latitude: 79.783 # Southernmost_Latitude: 79.783 # Easternmost_Longitude: 15.787 # Westernmost_Longitude: 15.787 # Elevation: 41 #------------------ # Data_Collection # Collection_Name: AustreNevlingen.Kjellman.2020.ANS1.LOI # Earliest_Year: 7410 # Most_Recent_Year: 2200 # Time_Unit: calendar year BP # Core_Length: 0.70 # Notes: Loss-on-ignition data from sediment core ANS1, collected from lake Austre Nevlingen, northern Spitsbergen, Svalbard #------------------ # Chronology # # compositeDepth composite depth (cm) midpoint depth cm # labID laboratory ID # age14c radiocarbon age 14C yr BP # age14cuncertainty radiocarbon age uncertainty 14C yr BP # material dated dated material # originalCoreDepth original core depth (cm) midpoint depth cm # originalCoreName name of core from which the radiocarbon sample was taken # rejected samples excluded from age model # thickness thickness of sample cm # # compositeDepth labid age14C age14Uncertainty materialDated originalCoreDepth originalCoreName rejected thickness # 4.5 Ua–60808 2200 33 Aquatic moss 4.5 ANS1 nan 1 # 7.3 LuS 12222 4135 45 Aquatic moss 10 ANP3 x 1 # 14.5 Ua–60809 3350 46 Aquatic moss 14.5 ANS1 nan 1 # 19.9 LuS 12223 4215 40 Aquatic moss 26 ANP3 nan 1 # 24.5 Ua–60810 4818 62 Aquatic moss 24.5 ANS1 nan 1 # 25 LuS 12224 4545 45 Wood 33 ANP3 nan 1 # 41.5 Ua–60811 6209 56 Aquatic moss 41.5 ANS1 nan 1 # 42.5 LuS 12225 6085 50 Salix polaris 51 ANP3 nan 1 # 55.5 Ua–60812 7410 52 Salix polaris 55.5 ANS1 nan 1 # 62.5 LuS 12226 7850 45 Terrestrial plant macrofossil 70 ANP3 nan 1 # 71.1 LuS 12227 8985 70 Aquatic moss 82 ANP3 nan 1 # 81 LuS 12221 10070 75 Aquatic moss 96 ANP3 nan 1 # #------------------ # Variables # # Data variables follow that are preceded by "##" in columns one and two. # Data line variables format: Variables list, one per line, shortname-tab-longname-tab-longname components ( 10 components: what, material, error, units, seasonality, data type, detail, method, C or N for Character or Numeric data, additional_information) # ## Depth depth, , , centimeter, , paleolimnology, , , N, original core midpoint depth ## thickness sample thickness, , , centimeter, , paleolimnology, , , N, ## LOI organic matter, sediment, , percent, , Paleolimnology, , loss on ignition, N, measured through loss-on-ignition at 550C # #------------------ # Data: # Data lines follow (have no #) # Data line format - tab-delimited text, variable short name as header) # Missing_Values: nan # Depth thickness LOI 0.5 1 34.13361169 2.5 1 37.11467324 4.5 1 34.59302326 6.5 1 34.70681458 8.5 1 34.11927878 10.5 1 28.23129252 12.5 1 33.75661376 14.5 1 35.18705763 16.5 1 34.27458617 18.5 1 31.59645233 20.5 1 27.92281498 22.5 1 27.61806982 24.5 1 29.22279793 26.5 1 31.94856578 28.5 1 31.30841121 30.5 1 31.98420533 32.5 1 30.51591658 34.5 1 23.57080035 36.5 1 21.15812918 38.5 1 20.96627165 40.5 1 21.51162791 42.5 1 26.65330661 44.5 1 26.25 46.5 1 22.78133577 48.5 1 25.91836735 50.5 1 19.89574283 52.5 1 19.24882629 54.5 1 16.60947152 56.5 1 17.80523256 58.5 1 16.66666667 60.5 1 17.3582296 62.5 1 19.02927581 64.5 1 22.33870968 66.5 1 24.30355427 68.5 1 27.04339051