# Lake Lyadhej-To Air and Lake Surface Temperature Reconstructions during the last 11 ka #----------------------------------------------------------------------- # 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/30652 # 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/Lyadhej-To.Andreev.2005.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/Lyadhej-To.Andreev.2005.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: Lake Lyadhej-To Air and Lake Surface Temperature Reconstructions during the last 11 ka #------------------ # Investigators # Investigators: Andreev, Andrei A.; Tarasov, Pavel E.; Ilyashuk, Boris P.; Ilyashuk, Elena A.; Cremer, Holger; Hermichen, Wolf-Dieter; Wischer, Frank; Hubberten, Hans-Wolfgang #------------------ # 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. #------------------ # Publication # Authors: Andreev, Andrei A.; Tarasov, Pavel E.; Ilyashuk, Boris P.; Ilyashuk, Elena A.; Cremer, Holger; Hermichen, Wolf-Dieter; Wischer, Frank; Hubberten, Hans-Wolfgang # Published_Date_or_Year: 2005 # Published_Title: Holocene environmental history recorded in Lake Lyadhej-To sediments, polar Urals, Russia # Journal_Name: Palaeogeography, Palaeoclimatology, Palaeoecology # Volume: 223 # Edition: # Issue: 3-4 # Pages: 181-203 # Report: # DOI: 10.1016/j.palaeo.2005.04.004 # Online_Resource: # Full_Citation: # Abstract: An 1180-cm long core recovered from Lake Lyadhej-To (68°15′ N, 65°45′ E, 150 m a.s.l.) at the NW rim of the Polar Urals Mountains reflects the Holocene environmental history from ca. 11,000 cal. yr BP. Pollen assemblages from the diamicton (ca. 11,000–10,700 cal. yr BP) are dominated by Pre-Quaternary spores and redeposited Pinaceae pollen, pointing to a high terrestrial input. Turbid and nutrient-poor conditions existed in the lake ca. 10,700–10,550 cal. yr BP. The chironomid-inferred reconstructions suggest that mean July temperature increased rapidly from 10.0 to 11.8 °C during this period. Sparse, treeless vegetation dominated on the disturbed and denuded soils in the catchment area. A distinct dominance of planktonic diatoms ca. 10,500–8800 cal. yr BP points to the lowest lake-ice coverage, the longest growing season and the highest bioproductivity during the lake history. Birch forest with some shrub alder grew around the lake reflecting the warmest climate conditions during the Holocene. Mean July temperature was likely 11–13 °C and annual precipitation—400–500 mm. The period ca. 8800–5500 cal. yr BP is characterized by a gradual deterioration of environmental conditions in the lake and lake catchment. The pollen- and chironomid-inferred temperatures reflect a warm period (ca. 6500–6000 cal. BP) with a mean July temperature at least 1–2 °C higher than today. Birch forests disappeared from the lake vicinity after 6000 cal. yr BP. The vegetation in the Lyadhej-To region became similar to the modern one. Shrub (Betula nana, Salix) and herb tundra have dominated the lake catchment since ca. 5500 cal. yr BP. All proxies suggest rather harsh environmental conditions. Diatom assemblages reflect relatively short growing seasons and a longer persistence of lake-ice ca. 5500–2500 cal. yr BP. Pollen-based climate reconstructions suggest significant cooling between ca. 5500 and 3500 cal. yr BP with a mean July temperature 8–10 °C and annual precipitation—300–400 mm. The bioproductivity in the lake remained low after 2500 cal. yr BP, but biogeochemical proxies reflect a higher terrestrial influx. Changes in the diatom content may indicate warmer water temperatures and a reduced ice cover on the lake. However, chironomid-based reconstructions reflect a period with minimal temperatures during the lake history. #------------------ # 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: Lyadhej-To # Location: Europe>Eastern Europe>Russia # Country: Russia # Northernmost_Latitude: 68.26 # Southernmost_Latitude: 68.26 # Easternmost_Longitude: 65.8 # Westernmost_Longitude: 65.8 # Elevation: 150 #------------------ # Data_Collection # Collection_Name: Lyadhej-To.Andreev.2005 # Earliest_Year: 10788.064 # Most_Recent_Year: 68.889 # Time_Unit: cal yr BP # Core_Length: # Notes: #------------------ # Species # Species_Name: # Species_Code: # Common_Name: #------------------ # Chronology_Information # Chronology: # depth_top age uncertainty_old depth_bottom uncertainty_young IncludeYN age_type OriginalDateID material # 0.0 -48.0 nan 0.0 nan Y core top nan nan # 8.0 690.0 720.0 10.0 660.0 Y age14C KIA-10040 Non-identified macrofossils # 98.0 2460.0 2500.0 100.0 2420.0 Y age14C KIA-8915 Non-identified macrofossils # 200.0 5135.0 5195.0 202.0 5075.0 Y age14C KIA-10041 Non-identified macrofossils # 298.0 6730.0 6800.0 300.0 6660.0 Y age14C KIA-8916 Non-identified macrofossils # 398.0 8550.0 8650.0 400.0 8450.0 Y age14C KIA-8920 Non-identified macrofossils # 500.0 9230.0 9320.0 502.0 9140.0 Y age14C KIA-8917 Non-identified macrofossils # 596.0 10780.0 10920.0 598.0 10640.0 N age14C KIA-12131 Non-identified macrofossils # 652.0 11230.0 11380.0 654.0 11080.0 N age14C KIA-8759 Non-identified macrofossils # 670.0 14210.0 14300.0 672.0 14120.0 N age14C KIA-8760 Non-identified macrofossils # 717.0 9600.0 9660.0 719.0 9540.0 N age14C KIA-8761 Shrub twig # 734.0 10940.0 11030.0 736.0 10850.0 N age14C KIA-12132 Non-identified macrofossils # 793.0 11850.0 11930.0 795.0 11770.0 N age14C KIA-12133 Non-identified macrofossils # 993.0 9880.0 9930.0 995.0 9830.0 N age14C KIA-12134 Non-identified macrofossils # 1034.0 9490.0 9550.0 1036.0 9430.0 Y age14C KIA-12135 Moss remains #------------------ # 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) # ## age age,,,calendar year before present,,pollen;climate reconstructions,,,N, ## temperature surface air temperature,,,degree Celsius,Jul,pollen;climate reconstructions,,,N,BMA # #------------------ # Data: # Data lines follow (have no #) # Data line format - tab-delimited text, variable short name as header # Missing_Values: nan # age temperature 68.889 8.15 344.444 9.168 620.0 8.405 834.444 9.206 963.111 8.388 1134.667 7.997 1349.111 8.724 1520.667 8.477 1649.333 8.463 1863.778 8.751 1992.444 8.699 2292.667 8.542 2464.222 8.895 2940.588 9.164 3266.078 8.608 3461.373 8.678 3721.765 9.973 4112.353 9.093 4242.549 8.024 4633.137 8.476 4893.529 8.877 5088.824 9.765 5414.314 9.201 5674.706 8.466 5974.694 9.579 6184.082 10.154 6323.673 10.449 6498.163 9.569 6672.653 8.867 6812.245 9.49 6951.837 9.521 7231.021 9.516 7370.612 9.684 7510.204 10.368 7696.4 9.8 7890.4 10.601 8123.2 9.507 8433.6 10.041 8588.8 10.794 8821.6 10.654 8976.8 11.276 9132.0 10.565 9364.8 10.904 9592.941 11.163 9665.883 11.419 9811.765 11.427 9957.647 11.63 10030.588 11.272 10103.529 11.151 10212.941 11.893 10340.588 9.691 10477.097 11.602 10549.354 11.669 10563.549 11.638 10571.29 12.461 10625.483 11.909 10675.161 10.387 10715.807 9.212 10756.451 11.265 10788.064 10.02