# Egelsee, Late Glacial and Holocene Surface Air Temperature Reconstructions #----------------------------------------------------------------------- # 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/30816 # Online_Resource_Description: NOAA Landing Page # # Online_Resource: https://www.ncdc.noaa.gov/paleo/study/27330 # Online_Resource_Description: NOAA Landing Page for Temperature-12k Database # # Online_Resource: https://www.ncei.noaa.gov/pub/data/paleo/reconstructions/climate12k/temperature/version1.0.0/Temp12k_directory_NOAA_files/Egelsee.Larocque.2010.txt # Online_Resource_Description: NOAA location of the template # # Online_Resource: https://www.ncei.noaa.gov/pub/data/paleo/reconstructions/climate12k/temperature/version1.0.0/Temp12k_directory_LiPD_files/Egelsee.Larocque.2010.lpd # Online_Resource_Description: Linked Paleo Data (LiPD) formatted file containing metadata and data related to this file, for version 1.0.0 of this dataset. # # Original_Source_URL: # Description/Documentation lines begin with # # Data lines have no # # # Data_Type: Climate Reconstructions # Parameter_Keywords: air temperature # Dataset_DOI: # #------------------ # Contribution_Date # Date: 2020-04-15 #------------------ # File_Last_Modified_Date # Date: 2020-05-16 #------------------ # Title # Study_Name: Egelsee Late Glacial and Holocene Surface Air Temperature Reconstructions #------------------ # Investigators # Investigators: Larocque-Tobler, Isabelle; Heiri, Oliver; Wehrli, Michael #------------------ # Description_Notes_and_Keywords # Description: This dataset was contributed as part of the Temperature-12k project (https://doi.org/10.25921/4RY2-G808). Data were contributed to the project from the original data generators, who are listed in the Investigator field of this template file. Additional notes regarding the use of these data in the Temperature-12k project can be found in the LiPD file listed as an Online_Resource of this template file. Chronology recalculated 3/5/2019 by Oliver Heiri based on data in Wehrli et al. https://doi.org/10.1177/0959683607080515 #------------------ # Publication # Authors: Larocque-Tobler, Isabelle; Heiri, Oliver; Wehrli, Michael # Published_Date_or_Year: 2010 # Published_Title: Late Glacial and Holocene temperature changes at Egelsee, Switzerland, reconstructed using subfossil chironomids # Journal_Name: Journal of Paleolimnology # Volume: 43 # Edition: # Issue: 4 # Pages: 649-666 # Report: # DOI: 10.1007/s10933-009-9358-z # Online_Resource: # Full_Citation: # Abstract: A temperature reconstruction using chironomids was attempted at Egelsee, Switzerland, a site where pollen and macrofossil records showed a correspondence between vegetation and climatic changes inferred by other proxies in Europe. The general pattern of temperature changes inferred from chironomids during the Late Glacial [i.e. cold temperatures between ca. 16,500 and 14,800 cal BP, close to present-day temperature between 15,000 and 13,000 cal BP and colder temperatures during the Younger Dryas (YD)], and the major temperature changes of the Holocene (i.e. the Younger Dryas–Holocene transition and the Late Holocene cooling trend) at Egelsee, were mirrored in other European climate reconstructions using various proxies. However, the amplitude of temperature changes during the YD was smaller than reconstructed by other proxies at various sites, and the 8,200 years BP event was not apparent. These differences between records were probably due to the dominance of Corynocera ambigua, with percentages reaching 60% in parts of the Egelsee sequence. This taxon was not present in any of the 103 lakes used for the transfer function and its absence may have yielded less accurate inferences. Its presence in samples only associated with cold inferences at Egelsee suggests that this taxon is a cold indicator. However, it was also found in warm Danish lakes and the factors that determine the presence of C. ambigua remain unexplained. Most samples had a poor fit to temperature and instead, dissolved organic carbon seemed to be a factor influencing the chironomid assemblages during the Holocene. These results illustrate the need to better understand the ecology of chironomids and to disentangle the various factors that affect chironomid communities through time. Ultimately, such information will lead to more accurate temperature reconstructions. #------------------ # Publication # Authors: Kaufman, D., N. McKay, C. Routson, M. Erb, B. Davis, O. Heiri, S. Jaccard, J. Tierney, C. Dätwyler, Y. Axford, T. Brussel, O. Cartapanis, B. Chase, A. Dawson, A. de Vernal, S. Engels, L. Jonkers, J. Marsicek, P. Moffa-Sánchez, C. Morrill, A. Orsi, K. Rehfeld, K. Saunders, P. S. Sommer, E. Thomas, M. Tonello, M. Tóth, R. Vachula, A. Andreev, S. Bertrand, B. Biskaborn, M. Bringué, S. Brooks, M. Caniupán, M. Chevalier, L. Cwynar, J. Emile-Geay, J. Fegyveresi, A. Feurdean, W. Finsinger, M-C. Fortin, L. Foster, M. Fox, K. Gajewski, M. Grosjean, S. Hausmann, M. Heinrichs, N. Holmes, B. Ilyashuk, E. Ilyashuk, S. Juggins, D. Khider, K. Koinig, P. Langdon, I. Larocque-Tobler, J. Li, A. Lotter, T. Luoto, A. Mackay, E. Magyari, S. Malevich, B. Mark, J. Massaferro, V. Montade, L. Nazarova, E. Novenko, P. Paril, E. Pearson, M. Peros, R. Pienitz, M. Plóciennik, D. Porinchu, A. Potito, A. Rees, S. Reinemann, S. Roberts, N. Rolland, S. Salonen, A. Self, H. Seppä, S. Shala, J-M. St-Jacques, B. Stenni, L. Syrykh, P. Tarrats, K. Taylor, V. van den Bos, G. Velle, E. Wahl, I. Walker, J. Wilmshurst, E. Zhang, S. Zhilich # Published_Date_or_Year: 2020-04-14 # Published_Title: A global database of Holocene paleotemperature records # Journal_Name: Scientific Data # Volume: 7 # Edition: 115 # Issue: # Pages: # Report_Number: # DOI: 10.1038/s41597-020-0445-3 # Online_Resource: https://www.nature.com/articles/s41597-020-0445-3 # Full_Citation: # Abstract: A comprehensive database of paleoclimate records is needed to place recent warming into the longer-term context of natural climate variability. We present a global compilation of quality-controlled, published, temperature-sensitive proxy records extending back 12,000 years through the Holocene. Data were compiled from 679 sites where time series cover at least 4000 years, are resolved at sub-millennial scale (median spacing of 400 years or finer) and have at least one age control point every 3000 years, with cut-off values slackened in data-sparse regions. The data derive from lake sediment (51%), marine sediment (31%), peat (11%), glacier ice (3%), and other natural archives. The database contains 1319 records, including 157 from the Southern Hemisphere. The multi-proxy database comprises paleotemperature time series based on ecological assemblages, as well as biophysical and geochemical indicators that reflect mean annual or seasonal temperatures, as encoded in the database. This database can be used to reconstruct the spatiotemporal evolution of Holocene temperature at global to regional scales, and is publicly available in Linked Paleo Data (LiPD) format. #------------------ # Funding_Agency # Funding_Agency_Name: # Grant: #------------------ # Site_Information # Site_Name: Egelsee # Location: Europe>Western Europe>Switzerland # Country: Switzerland # Northernmost_Latitude: 47.18 # Southernmost_Latitude: 47.18 # Easternmost_Longitude: 8.58 # Westernmost_Longitude: 8.58 # Elevation: 770 #------------------ # Data_Collection # Collection_Name: Egelsee.Larocque.2010 # Earliest_Year: 16192.857 # Most_Recent_Year: 81.564 # Time_Unit: cal yr BP # Core_Length: # Notes: #------------------ # Species # Species_Name: # Species_Code: # Common_Name: #------------------ # Chronology_Information # Chronology: # OriginalDateID depth_top depth_bottom age_type age 1SD AdditionalNotes # nan 0.0 0.0 Core top -47.0 0.0 nan # Ua-14324 164.5 165.5 age14C 1130.0 1185.0 Abies fruit # Ua-19979 208.5 210.5 age14C 1305.0 1345.0 Abies fruit # Ua-14325 239.5 240.5 age14C 1975.0 2030.0 Abies # Ua-19980 289.5 291.5 age14C 2500.0 2545.0 Abies needles # Ua-14326 349.5 350.5 age14C 2950.0 3020.0 Abies # Ua-19981 356.5 357.5 age14C 3565.0 3615.0 Abies fruit # Ua-19982 379.5 381.5 age14C 3600.0 3655.0 Abies # Ua-19983 397.5 399.5 age14C 4135.0 4185.0 Fagus fruit # Ua-19984 413.5 415.5 age14C 4245.0 4295.0 Abies fruit and needles # Ua-19985 429.5 431.5 age14C 4415.0 4460.0 Abies needles # Ua-14327 455.0 456.0 age14C 5310.0 5385.0 Abies fruit # Ua-19986 474.5 476.5 age14C 5920.0 5980.0 Abies fruit and needles # Ua-19987 503.5 505.5 age14C 6670.0 6750.0 Abies needles # Ua-19988 535.5 537.5 age14C 7260.0 7340.0 Abies piece of cone # Ua-19989 559.5 561.5 age14C 7500.0 7585.0 Abies fruit and needles # Ua-19990 588.5 590.5 age14C 7960.0 8045.0 leaf of terrestrial plant # Ua-19991 618.5 620.5 age14C 7845.0 7900.0 fruit of terrestrial plant # Ua-14328 646.0 647.0 age14C 8395.0 8485.0 Quercus petraea fruit # Ua-14329 722.5 723.5 age14C 8905.0 9010.0 twig of terrestrial plant # Ua-19992 845.5 847.5 age14C 9465.0 9565.0 twig of terrestrial plant # Ua-14330 988.5 989.5 age14C 9825.0 9920.0 twig of terrestrial plant # Ua-19993 1035.5 1037.5 age14C 10455.0 10590.0 twig of terrestrial plant # Ua-14331 1079.5 1080.5 age14C 10220.0 10305.0 twig of terrestrial plant # Ua-19994 1089.5 1091.5 age14C 10965.0 11050.0 diverse # Ua-19995 1105.5 1107.5 age14C 1255.0 1400.0 leaf of terrestrial plant # Ua-19996 1111.5 1114.5 age14C 11760.0 11850.0 diverse # Ua-14332 1133.0 1134.0 age14C 12170.0 12275.0 twig of terrestrial plant # Ua-19997 1139.5 1141.5 age14C 12510.0 12605.0 twig of terrestrial plant # Ua-19998 1171.5 1172.5 age14C 13080.0 13185.0 wood #------------------ # Variables # # Data variables follow that are preceded by "##" in columns one and two. # Variables list, one per line, shortname-tab-longname components (9 components: what, material, error, units, seasonality, archive, detail, method, C or N for Character or Numeric data) # ## depth depth,,,centimeter,,insect;paleolimnology;climate reconstructions,,,N, ## age age,,,calendar year before present,,insect;paleolimnology;climate reconstructions,,,N, ## UnkownColumn notes,,,dimensionless,,insect;paleolimnology;climate reconstructions,,,N,UnkownColumn ## temperature surface air temperature,midge assemblage,,degree Celsius,Jul,insect;paleolimnology;climate reconstructions,,,N,Earlier version of Swiss transfer function described in Heiri and Lotter 2010(DOI 10.1007/s10933-010-9439-z); WAPLS ## uncertainty surface air temperature,midge assemblage,unspecified error upper bound,degree Celsius,Jul,insect;paleolimnology;climate reconstructions,,,N, ## uncertainty-1 surface air temperature,midge assemblage,unspecified error lower bound,degree Celsius,Jul,insect;paleolimnology;climate reconstructions,,,N, ## reliable notes,,,,,insect;paleolimnology;climate reconstructions,,,C,Data are reliable (Yes or No) ## nonReliabletemperature temperature,midge assemblage,,degree Celsius,Jul,insect;paleolimnology;climate reconstructions,,,N,some samples characterized by low counts (those with less than 30 marked below);top two samples with many semi-terrestrial taxa and not reliable; strong local human impact (grazing, Cannabis) from ca. 1500 cal BP onwards;WA-PLS;earlier version of Swiss transfer function described in Heiri, Lotter 2010 (DOI 10.1007/s10933-010-9439-z);non-reliable temperature # #------------------ # Data: # Data lines follow (have no #) # Data line format - tab-delimited text, variable short name as header # Missing_Values: nan # depth age UnkownColumn temperature uncertainty uncertainty-1 reliable nonReliabletemperature 21.0 81.564 18.5 nan 12.466 9.546 N 11.006 90.5 510.358 100.0 nan 14.444 11.524 N 12.984 120.0 692.364 84.5 nan 16.783 13.863 N 15.323 144.0 840.436 71.5 nan 15.562 12.642 N 14.102 168.0 998.719 106.0 nan 16.701 13.781 N 15.241 207.0 1372.067 186.0 nan 16.363 13.443 N 14.903 222.0 1548.869 158.5 14.002 15.462 12.542 Y nan 246.0 1853.238 126.0 14.023 15.483 12.563 Y nan 264.0 2105.95 169.5 14.121 15.581 12.661 Y nan 282.0 2358.663 114.5 14.704 16.164 13.244 Y nan 306.0 2733.034 101.0 13.778 15.238 12.318 Y nan 318.0 2930.479 67.0 13.342 14.802 11.882 Y nan 342.0 3325.37 97.0 14.748 16.208 13.288 Y nan 366.0 3773.681 130.0 14.015 15.475 12.555 Y nan 375.0 3956.362 88.5 14.179 15.639 12.719 Y nan 393.0 4356.889 113.5 13.539 14.999 12.079 Y nan 405.0 4646.5 105.5 13.745 15.205 12.285 Y nan 417.0 4951.969 172.0 15.932 17.392 14.472 Y nan 453.0 5974.2 77.0 16.709 18.169 15.249 Y nan 471.0 6494.175 68.0 13.955 15.415 12.495 Y nan 489.0 6970.345 119.5 16.053 17.513 14.593 Y nan 504.0 7355.172 81.0 15.307 16.767 13.847 Y nan 516.0 7594.047 130.0 16.27 17.73 14.81 Y nan 519.0 7653.016 84.0 16.521 17.981 15.061 Y nan 522.0 7711.984 122.0 14.164 15.624 12.704 Y nan 525.0 7770.953 64.5 13.906 15.366 12.446 Y nan 528.0 7829.922 193.0 15.38 16.84 13.92 Y nan 531.0 7888.891 63.0 15.113 16.573 13.653 Y nan 534.0 7947.859 136.5 14.772 16.232 13.312 Y nan 537.0 8004.438 55.0 15.668 17.128 14.208 Y nan 540.0 8049.062 245.0 15.273 16.733 13.813 Y nan 543.0 8093.688 113.0 14.863 16.323 13.403 Y nan 546.0 8138.312 66.0 15.041 16.501 13.581 Y nan 549.0 8182.938 232.0 15.953 17.413 14.493 Y nan 552.0 8227.562 61.0 15.005 16.465 13.545 Y nan 555.0 8272.188 110.0 15.592 17.052 14.132 Y nan 558.0 8316.812 98.0 14.752 16.212 13.292 Y nan 576.0 8540.0 194.0 15.585 17.045 14.125 Y nan 585.0 8648.0 66.0 14.55 16.01 13.09 Y nan 594.0 8761.1 187.0 15.014 16.474 13.554 Y nan 600.0 8839.9 104.0 14.572 16.032 13.112 Y nan 621.0 9105.611 79.0 14.896 16.356 13.436 Y nan 642.0 9240.167 45.0 15.705 17.165 14.245 Y nan 645.0 9259.389 135.0 15.564 17.024 14.104 Y nan 672.0 9491.0 45.0 14.229 15.689 12.769 Y nan 678.0 9543.235 132.0 14.593 16.053 13.133 Y nan 696.0 9699.941 112.0 14.724 16.184 13.264 Y nan 744.0 10057.599 169.0 13.881 15.341 12.421 Y nan 780.0 10267.769 102.0 14.185 15.645 12.725 Y nan 804.0 10407.883 80.0 15.224 16.684 13.764 Y nan 816.0 10477.939 109.0 15.587 17.047 14.127 Y nan 852.0 10683.133 60.0 13.613 15.073 12.153 Y nan 864.0 10742.333 66.0 15.471 16.931 14.011 Y nan 912.0 10979.133 74.0 14.551 16.011 13.091 Y nan 960.0 11215.933 54.5 16.367 17.827 14.907 Y nan 996.0 11446.537 70.0 15.43 16.89 13.97 Y nan 1014.0 11671.632 87.0 14.663 16.123 13.203 Y nan 1022.0 11771.674 26.0 nan 15.407 12.487 N 14.002 1032.0 11896.726 100.0 13.872 15.332 12.412 Y nan 1044.0 12094.379 46.5 13.24 14.7 11.78 Y nan 1050.0 12207.483 69.5 13.228 14.688 11.768 Y nan 1062.0 12433.69 24.5 nan 16.512 13.592 N 14.023 1068.0 12546.793 55.5 15.543 17.003 14.083 Y nan 1074.0 12659.897 54.5 15.571 17.031 14.111 Y nan 1080.0 12773.0 35.5 14.923 16.383 13.463 Y nan 1086.0 12892.0 66.0 14.093 15.553 12.633 Y nan 1092.0 13048.0 77.0 14.056 15.516 12.596 Y nan 1098.0 13204.0 87.0 15.15 16.61 13.69 Y nan 1107.0 13440.0 23.5 nan 15.737 12.817 N 14.121 1113.0 13620.0 26.0 nan 18.535 15.615 N 14.704 1116.0 13705.171 34.5 17.665 19.125 16.205 Y nan 1119.0 13790.341 16.0 nan 14.041 11.121 N 13.778 1122.0 13875.512 56.0 13.473 14.933 12.013 Y nan 1125.0 13960.683 15.0 nan 15.177 12.257 N 13.342 1131.0 14131.024 26.0 nan 17.712 14.792 N 14.748 1137.0 14306.0 28.0 nan 14.621 11.701 N nan 1143.0 14484.286 43.0 14.453 15.913 12.993 Y nan 1149.0 14669.048 38.5 12.341 13.801 10.881 Y nan 1155.0 14851.905 53.0 13.512 14.972 12.052 Y nan 1161.0 15034.762 108.5 11.048 12.508 9.588 Y nan 1164.0 15126.19 59.0 13.388 14.848 11.928 Y nan 1170.0 15309.048 72.5 11.248 12.708 9.788 Y nan 1176.0 15491.905 132.0 14.112 15.572 12.652 Y nan 1182.0 15674.762 25.5 nan 11.261 8.341 N 14.015 1188.0 15857.619 13.0 nan 12.439 9.519 N 14.179 1199.0 16192.857 33.5 nan 10.262 7.342 N 13.539