# Lake Cadagno Switzerland 11000 Year MBT/CBT Temperature Reconstruction #---------------------------------------------------- # World Data Service for Paleoclimatology, Boulder # and # NOAA Paleoclimatology Program # National Centers for Environmental Information (NCEI) #---------------------------------------------------- # 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 # # Data lines have no # # # NOAA_Landing_Page: https://www.ncei.noaa.gov/access/paleo-search/study/12909 # 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-12909.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/mzze-2814 # # Science_Keywords: Air Temperature Reconstruction, Medieval Warm Period, Little Ice Age (LIA) #-------------------- # Resource_Links # # Data_Download_Resource: https://www.ncei.noaa.gov/pub/data/paleo/paleolimnology/europe/switzerland/cadagno2012-noaa.txt # Data_Download_Description: NOAA Template File; GDGT Data and Temperature Reconstruction # #-------------------- # Contribution_Date # Date: 2012-05-10 #-------------------- # File_Last_Modified_Date # Date: 2024-06-06 #-------------------- # Title # Study_Name: Lake Cadagno Switzerland 11000 Year MBT/CBT Temperature Reconstruction #-------------------- # Investigators # Investigators: Niemann, H.; Stadnitskaia, A.; Wirth, S.B.; Gilli, A.(https://orcid.org/0000-0003-4193-2157); Anselmetti, F.S.; Sinninghe Damsté, J.S.(https://orcid.org/0000-0002-8683-1854); Schouten, S.; Hopmans, E.C.; Lehmann, M.F. #-------------------- # Description_Notes_and_Keywords # Description: Lake sediment bacterial lipids data and MBT/CBT temperature reconstruction from Lake Cadagno, Switzerland, for the past 11,000 years. Mean annual air temperature (MAAT) reconstruction is based on the MBT/CBT paleothermometer, utilizing temperature dependent distribution of specific bacterial membrane lipids in soil organic matter. Lake Cadagno, Switzerland: 46.5507°N, 8.7139°E, 1921m elevation. #-------------------- # Publication # Authors: Niemann, H., A. Stadnitskaia, S.B. Wirth, A. Gilli, F.S. Anselmetti, J.S. Sinninghe Damsté, S. Schouten, E.C. Hopmans, and M.F. Lehmann # Journal_Name: Climate of the Past # Published_Title: Bacterial GDGTs in Holocene sediments and catchment soils of a high Alpine lake: application of the MBT/CBT-paleothermometer # Published_Date_or_Year: 2012 # Volume: 8 # Pages: 889-906 # Issue: 3 # Report_Number: # DOI: 10.5194/cp-8-889-2012 # Full_Citation: # Abstract: A novel proxy for continental mean annual air temperature (MAAT) and soil pH, the MBT/CBT paleothermometer, is based on the temperature (T) and pH-dependent distribution of specific bacterial membrane lipids (branched glycerol dialkyl glycerol tetraethers – GDGTs) in soil organic matter. Here, we tested the applicability of the MBT/CBT-paleothermometer to sediments from Lake Cadagno, a high Alpine lake in southern Switzerland with a small catchment of 2.4 km2. We analysed the distribution of bacterial GDGTs in catchment soils and in a radiocarbon dated sediment core from the centre of the lake, covering the past 11 000 yr. The distribution of bacterial GDGTs in the catchment soils is very similar to that in the lake's surface sediments, indicating a common origin of the lipids. Consequently, their transfer from the soils into the sediment record seems undisturbed, probably without any significant alteration of their distribution through in situ production in the lake itself or early diagenesis of branched GDGTs. The MBT/CBT-inferred MAAT estimates from soils and surface sediments are in good agreement with instrumental values for the Lake Cadagno region (~0.5°C). Moreover, downcore MBT/CBT-derived MAAT estimates match in timing and magnitude other proxy-based T reconstructions from nearby locations for the last two millennia. Major climate anomalies recorded by the MBT/CBT-paleothermometer are, for instance, the Little Ice Age (~14th to 19th century) and the Medieval Warm Period (MWP, ~9th to 14th century). Together, our observations indicate the quantitative applicability of the MBT/CBT-paleothermometer to Lake Cadagno sediments. In addition to the MWP, our lacustrine paleo T record indicates Holocene warm phases at about 3, 5, 7 and 11 kyr before present, which agrees in timing with other records from both the Alps and the sub-polar North-East Atlantic Ocean. The good temporal match of the warm periods determined for the central Alpine region with north-west European winter precipitation strength implies a strong and far-reaching influence of the North Atlantic Oscillation on continental European T variations during the Holocene. #-------------------- # Funding_Agency # Funding_Agency_Name: European Union # Grant: FP7/2007-2013 #-------------------- # Funding_Agency # Funding_Agency_Name: Swiss National Science Foundation # Grant: 200021-121909 and IZK0Z2-131407 #-------------------- # Site_Information # Site_Name: Lake Cadagno # Location: Switzerland # Northernmost_Latitude: 46.5507 # Southernmost_Latitude: 46.5507 # Easternmost_Longitude: 8.7139 # Westernmost_Longitude: 8.7139 # Elevation_m: 1921 #-------------------- # Data_Collection # Collection_Name: Cadagno2012 # First_Year: 10981 # Last_Year: -59 # Time_Unit: cal yr BP # Core_Length_m: # Parameter_Keywords: geochemistry, reconstruction # Notes: #-------------------- # Chronology_Information # Chronology: Radiocarbon # Chronology_Download_Resource: https://www.ncei.noaa.gov/pub/data/paleo/templates/noaa-wds-paleo-14c-terms.csv # Chronology_Download_Description: Radiocarbon terms and definitions. # Chronology_Notes: Radiocarbon dates of terrestrial organic material collected from various sediment depths. Note that depths have not been corrected for slump deposits. # Rejection_Rationale: Ages derived from sample material in slump deposits were not considered for age-depth modelling # Reservoir_Method: # Calibration_Method: # Age_Model_Method: # Missing_Values: NaN # Chronology_Table: # lab_code depth_cm material_dated age_14C_BP1950 age_14C_1s_yr age_calib_neg2s_BP1950 age_calib_pos2s_BP1950 date_used calib_curve # ETH-42351 102.5 terr.macrofossils 1255 60 1056 1295 yes IntCal # ETH-39236 223 wood 2035 35 1898 2112 yes IntCal # ETH-41051 337.5 terr.macrofossils 3015 35 3079 3338 yes IntCal # ETH-39237 419.5 wood 3305 35 3452 3630 yes IntCal # ETH-41052 652 wood 4595 35 5068 5460 yes IntCal # ETH-39238 696 wood 5035 35 5663 5899 no IntCal # ETH-41053 778.5 terr.macrofossils 8015 35 8765 9012 no IntCal # ETH-42352 798 wood 6450 35 7291 7430 yes IntCal # ETH-41054 871.5 wood 8055 35 8776 9079 yes IntCal # ETH-44254 909.7 terr.macrofossils 9340 35 10431 10667 yes IntCal # ETH-39238 919.5 wood 9630 45 10776 11180 yes IntCal #-------------------- # 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) # ## SampleID sample identification,,,,,paleolimnology,,,C, ## depth_cm depth,,,centimeter,,climate reconstructions;paleolimnology,,,N,composite depth corrected for slump deposits ## age_top_calBP age at sample end,,,calendar year before present,,climate reconstructions;paleolimnology,,,N, ## age_bot_calBP age at sample start,,,calendar year before present,,climate reconstructions;paleolimnology,,,N, ## MBT methylation index of branched tetraethers,sediment,,dimensionless,,paleolimnology,,,N, ## CBT cyclization index of branched tetraethers,sediment,,dimensionless,,paleolimnology,,,N, ## BIT branched and isoprenoid tetraether index,sediment,,dimensionless,,paleolimnology,,,N, ## SoilpH pH,glycerol dialkyl glycerol tetraether index,,dimensionless,,climate reconstructions;paleolimnology,,,N,using CBT ## MAAT surface air temperature,glycerol dialkyl glycerol tetraether index,,degree Celsius,annual,climate reconstructions;paleolimnology,,,N,using MBT/CBT #-------------------- # Data: # Data lines follow (have no #) # Data line format - tab-delimited text, variable short name as header # Missing_Values: SampleID depth_cm age_top_calBP age_bot_calBP MBT CBT BIT SoilpH MAAT SC-1 2.5 -59 -28 0.29 0.73 0.99 6.85 1.47 SC-3 12.5 4 54 0.26 0.74 0.98 6.80 -0.16 SC-4 17.5 54 104 0.23 0.67 0.95 7.00 -0.77 SC-14 27.0 166 284 0.26 0.82 0.98 6.61 -0.95 SC-15 32.0 284 376 0.23 0.65 0.98 7.05 -0.68 SC-16 37.0 376 548 0.26 0.68 0.98 6.98 0.56 SC-18 42.0 548 635 0.26 0.67 0.98 7.01 0.89 A1-6 47.0 666 977 0.27 0.68 0.98 6.96 0.92 A1-7 57.0 977 1240 0.27 0.67 0.98 7.01 1.07 A2-1 79.5 1351 1507 0.28 0.66 0.98 7.02 1.65 A2-6 89.5 1597 1664 0.27 0.74 0.98 6.80 0.43 A2-8 107.0 1860 2032 0.27 0.74 0.98 6.82 0.29 A3-1 111.5 2110 2160 0.24 0.75 0.98 6.80 -1.10 A3-3 118.0 2160 2366 0.25 0.76 0.98 6.76 -0.74 A3-4 128.0 2366 2451 0.25 0.76 0.98 6.76 -0.91 A3-5 138.0 2451 2535 0.25 0.78 0.98 6.71 -1.02 A3-6 148.0 2535 2619 0.26 0.75 0.98 6.79 -0.10 A3-7 158.0 2619 2703 0.27 0.77 0.97 6.73 0.06 A3-8 168.0 2703 2797 0.26 0.77 0.98 6.73 -0.09 A3-10 188.0 2974 3070 0.27 0.79 1.00 6.69 0.08 B1-1 226.5 3343 3409 0.26 0.72 0.97 6.86 0.30 B1-5 237.0 3438 3532 0.26 0.76 0.98 6.75 -0.09 B1-6 247.0 3532 3552 0.26 0.76 0.97 6.76 -0.40 B1-7 257.0 3552 3613 0.27 0.79 0.97 6.70 0.11 B1-8 268.0 3613 3684 0.27 0.81 0.97 6.64 0.08 B2-1 279.0 3684 3743 0.26 0.88 0.98 6.45 -1.42 B2-2 289.0 3743 3802 0.25 0.73 0.96 6.83 -0.22 B2-3 299.0 3802 3861 0.29 0.83 0.97 6.57 0.41 B2-4 309.0 3861 3941 0.26 0.82 0.98 6.60 -0.96 B3-5 326.5 4010 4162 0.26 0.83 0.98 6.59 -0.68 B3-6 336.5 4162 4312 0.26 0.79 0.98 6.68 -0.51 B3-7 346.5 4312 4497 0.26 0.77 0.98 6.75 -0.08 B3-8 356.5 4497 4630 0.26 0.70 0.97 6.91 0.29 B3-9 359.5 4630 4746 0.26 0.74 0.98 6.82 -0.03 B3-10 369.5 4746 4942 0.27 0.77 0.98 6.74 0.35 C1-8 411.5 5953 6231 0.25 0.71 0.98 6.90 -0.11 C2-3 422.5 6412 6754 0.26 0.74 0.98 6.83 -0.03 C2-4 432.5 6754 7439 0.27 0.74 0.98 6.84 0.58 C2-5 442.5 7439 8188 0.26 0.73 0.98 6.84 0.05 C3-2 455.5 8699 9225 0.24 0.67 0.97 7.01 -0.59 C3-3 459.5 9225 9444 0.24 0.72 0.97 6.87 -0.86 C3-4 467.0 9444 9755 0.25 0.74 0.97 6.83 -0.58 C3-5 473.0 9755 10514 0.24 0.73 0.95 6.83 -1.19 C3-6 479.5 10514 10625 0.23 0.57 0.82 7.26 0.19 C3-7 487.5 10625 10774 0.23 0.57 0.84 7.26 -0.05 C3-8 497.5 10774 10903 0.22 0.48 0.88 7.49 0.41 C3-9 507.5 10903 10981 0.18 0.37 0.77 7.80 -0.71