# Lake Bolshie Toroki Air Temperature Reconstruction over the last 8000 Years #----------------------------------------------------------------------- # 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/30993 # 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/BolshieToroki.Zhilich.2017.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/BolshieToroki.Zhilich.2017.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 Bolshie Toroki Air Temperature Reconstruction over the last 8000 Years #------------------ # Investigators # Investigators: Zhilich, Snezhana; Rudaya, Natalia; Krivonogov, Sergei; Nazarova, Larisa; Pozdnyakov, Dmitry #------------------ # 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: Zhilich, Snezhana; Rudaya, Natalia; Krivonogov, Sergei; Nazarova, Larisa; Pozdnyakov, Dmitry # Published_Date_or_Year: 2017 # Published_Title: Environmental dynamics of the Baraba forest-steppe (Siberia) over the last 8,000 years and their impact on the types of economic life of the population # Journal_Name: Quaternary Science Reviews # Volume: 163 # Edition: # Issue: # Pages: 152-161 # Report: # DOI: 10.1016/j.quascirev.2017.03.022 # Online_Resource: # Full_Citation: # Abstract: This article offers a reconstruction of the vegetation and climate of the south-western Siberian Baraba forest-steppe area during the last ca. 8000 years. The analysis of palynological data from the sediment core of Lake Bolshie Toroki using quantitative methods has made it possible to reconstruct changes of the dominant types of vegetation and mean July air temperatures. Coniferous forests grew in the vicinity of the lake, and mean July air temperatures were similar to present-day ones between 7.9 and 7.0 kyr BP. The warmest and driest climate occurred at 7.0–5.0 kyr BP. At that time, the region had open steppe landscapes; birch groves began to spread. A cooling trend is seen after 5.5 kyr BP, when forest-steppe began to emerge. Steppe communities started to dominate again after 1.5 kyr BP. Mean July air temperatures lower than now are reconstructed for the period of 1.9–1 kyr BP, and then the temperatures became similar to present-day ones. Comparing the archaeological data on the types of economy of the population which inhabited the Baraba forest-steppe with the data on changes in the natural environment revealed a connection between the gradual transition from hunting and fishing to livestock breeding and the development of forest-steppe landscapes with a decrease in the area covered by forests. The development of the forest-steppe as an ecotonic landscape starting around 5 kyr BP might have contributed to the coexistence of several archaeological cultures with different types of economy on the same territory. #------------------ # 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: Lake Bolshie Toroki # Location: Europe>Eastern Europe>Russia # Country: Russia # Northernmost_Latitude: 55.39 # Southernmost_Latitude: 55.39 # Easternmost_Longitude: 80.62 # Westernmost_Longitude: 80.62 # Elevation: 128 #------------------ # Data_Collection # Collection_Name: BolshieToroki.Zhilich.2017 # Earliest_Year: 7892.6 # Most_Recent_Year: -62.0 # 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 uncertainty_old uncertainty_young IncludeYN # 0.0 0.0 0.0 Core top -62.0 0.0 0.0 N # soan-8913 30.0 32.0 age14C 1880.0 1940.0 1820.0 Y # soan-8914 70.0 72.0 age14C 3080.0 3125.0 3035.0 Y # soan-8915 122.0 125.0 age14C 5330.0 5410.0 5250.0 Y # soan-8916 140.0 142.0 age14C 5740.0 5835.0 5645.0 Y #------------------ # 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) # ## OriginalSampleID sample identification,,,,,pollen;climate reconstructions,,,C,OriginalSampleID ## depth depth,,,centimeter,,pollen;climate reconstructions,,,N, ## age age,,,calendar year before present,,pollen;climate reconstructions,,,N, ## ageMin age,,range lower bound,calendar year before present,,pollen;climate reconstructions,,,N, ## ageMax age,,range upper bound,calendar year before present,,pollen;climate reconstructions,,,N, ## temperature surface air temperature,,,degree Celsius,Jul,pollen;climate reconstructions,,,N,WAPLS ## uncertainty surface air temperature,,unspecified margin of error,degree Celsius,Jul,pollen;climate reconstructions,,,N, ## uncertainty-1 surface air temperature,,unspecified margin of error,degree Celsius,Jul,pollen;climate reconstructions,,,N, ## reliable notes,,,,,pollen;climate reconstructions,,,C,Data are reliable (Yes or No) # #------------------ # Data: # Data lines follow (have no #) # Data line format - tab-delimited text, variable short name as header # Missing_Values: nan # OriginalSampleID depth age ageMin ageMax temperature uncertainty uncertainty-1 reliable 2.0 2.0 -62.0 -65.1 -59.2 16.708 1.256 1.256 Y 4.0 4.0 28.1 -57.9 278.8 17.917 1.244 1.244 Y 6.0 6.0 142.7 -16.8 463.2 17.378 1.246 1.246 Y 8.0 8.0 262.4 42.8 617.8 17.587 1.242 1.242 Y 10.0 10.0 383.7 123.4 767.3 17.238 1.254 1.254 Y 12.0 12.0 497.9 197.4 885.3 17.757 1.245 1.245 Y 14.0 14.0 625.1 285.3 1015.2 16.853 1.301 1.301 Y 16.0 16.0 745.8 382.3 1151.7 16.558 1.271 1.271 Y 18.0 18.0 865.9 492.6 1255.6 17.39 1.243 1.243 Y 20.0 20.0 985.2 599.0 1367.6 17.252 1.258 1.258 Y 22.0 22.0 1108.0 718.5 1471.0 17.833 1.24 1.24 Y 24.0 24.0 1231.1 841.3 1570.4 18.055 1.244 1.244 Y 26.0 26.0 1351.1 968.8 1659.5 16.946 1.262 1.262 Y 28.0 28.0 1472.5 1104.5 1746.5 17.732 1.244 1.244 Y 30.0 30.0 1589.0 1263.1 1825.6 17.403 1.258 1.258 Y 32.0 32.0 1706.5 1429.7 1896.7 17.279 1.258 1.258 Y 34.0 34.0 1801.6 1568.3 1982.1 17.6 1.241 1.241 Y 36.0 36.0 1876.6 1634.4 2107.0 16.718 1.249 1.249 Y 38.0 38.0 1951.5 1688.5 2208.2 17.755 1.252 1.252 Y 40.0 40.0 2027.6 1751.6 2305.7 18.317 1.247 1.247 Y 42.0 42.0 2105.9 1821.1 2404.4 17.732 1.246 1.246 Y 44.0 44.0 2181.7 1891.4 2482.5 18.275 1.243 1.243 Y 46.0 46.0 2260.8 1960.7 2566.5 18.339 1.244 1.244 Y 48.0 48.0 2340.3 2034.7 2652.3 18.113 1.254 1.254 Y 50.0 50.0 2419.4 2103.8 2727.3 18.017 1.245 1.245 Y 52.0 52.0 2499.3 2177.7 2806.7 17.889 1.255 1.255 Y 54.0 54.0 2578.9 2256.5 2878.9 18.282 1.246 1.246 Y 56.0 56.0 2652.9 2335.4 2952.0 17.919 1.243 1.243 Y 58.0 58.0 2734.6 2409.0 3023.0 16.966 1.256 1.256 Y 60.0 60.0 2813.3 2486.5 3092.9 18.525 1.248 1.248 Y 62.0 62.0 2889.2 2570.2 3154.1 17.96 1.244 1.244 Y 64.0 64.0 2968.2 2645.6 3214.1 17.266 1.256 1.256 Y 66.0 66.0 3046.9 2748.9 3282.0 17.82 1.252 1.252 Y 68.0 68.0 3122.6 2850.8 3337.5 17.861 1.251 1.251 Y 70.0 70.0 3197.6 2952.6 3390.7 17.735 1.253 1.253 Y 72.0 72.0 3272.9 3063.2 3445.9 17.806 1.244 1.244 Y 74.0 74.0 3350.3 3188.6 3504.9 18.122 1.245 1.245 Y 76.0 76.0 3442.3 3255.6 3712.0 18.249 1.244 1.244 Y 78.0 78.0 3542.1 3321.3 3869.1 18.011 1.246 1.246 Y 80.0 80.0 3643.9 3392.0 4013.3 17.508 1.246 1.246 Y 82.0 82.0 3744.5 3460.2 4143.6 17.695 1.246 1.246 Y 84.0 84.0 3850.6 3536.5 4269.4 18.225 1.241 1.241 Y 86.0 86.0 3955.6 3617.4 4391.4 17.436 1.243 1.243 Y 88.0 88.0 4059.8 3694.3 4508.1 17.044 1.304 1.304 Y 90.0 90.0 4163.5 3782.9 4610.6 18.052 1.246 1.246 Y 92.0 92.0 4269.7 3877.4 4726.9 18.336 1.244 1.244 Y 94.0 94.0 4376.5 3960.5 4836.6 18.651 1.243 1.243 Y 96.0 96.0 4477.8 4055.6 4940.4 18.416 1.242 1.242 Y 98.0 98.0 4581.4 4154.5 5045.9 18.267 1.244 1.244 Y 100.0 100.0 4692.2 4255.3 5154.7 17.731 1.242 1.242 Y 102.0 102.0 4798.4 4351.1 5255.9 18.105 1.243 1.243 Y 104.0 104.0 4904.5 4450.6 5354.3 17.861 1.246 1.246 Y 106.0 106.0 5012.5 4550.6 5452.6 17.529 1.247 1.247 Y 108.0 108.0 5120.6 4662.6 5546.7 17.63 1.241 1.241 Y 110.0 110.0 5226.3 4769.7 5636.0 17.686 1.256 1.256 Y 112.0 112.0 5330.9 4876.5 5718.6 17.823 1.261 1.261 Y 114.0 114.0 5436.3 5004.0 5808.0 16.663 1.28 1.28 Y 116.0 116.0 5541.3 5118.9 5899.8 17.339 1.254 1.254 Y 118.0 118.0 5642.9 5238.1 5981.3 17.674 1.244 1.244 Y 120.0 120.0 5748.0 5364.5 6063.6 17.088 1.26 1.26 Y 122.0 122.0 5853.7 5497.0 6137.4 17.537 1.252 1.252 Y 124.0 124.0 5956.7 5625.3 6207.1 18.204 1.242 1.242 Y 126.0 126.0 6052.1 5755.6 6275.6 18.162 1.245 1.245 Y 128.0 128.0 6133.5 5848.0 6361.3 17.488 1.255 1.255 Y 130.0 130.0 6203.9 5918.8 6453.5 17.822 1.244 1.244 Y 132.0 132.0 6271.4 5995.4 6542.7 18.24 1.247 1.247 Y 134.0 134.0 6343.2 6072.7 6635.5 17.644 1.248 1.248 Y 136.0 136.0 6413.3 6147.8 6721.3 17.765 1.256 1.256 Y 138.0 138.0 6481.0 6218.2 6805.1 18.075 1.248 1.248 Y 140.0 140.0 6548.7 6297.1 6885.7 18.398 1.249 1.249 Y 142.0 142.0 6616.9 6374.2 6962.3 17.034 1.262 1.262 Y 144.0 144.0 6688.3 6459.1 7037.7 18.071 1.246 1.246 Y 146.0 146.0 6775.0 6531.9 7153.0 17.529 1.254 1.254 Y 148.0 148.0 6877.1 6601.8 7303.0 18.761 1.244 1.244 Y 150.0 150.0 6976.4 6668.4 7439.9 18.319 1.24 1.24 Y 152.0 152.0 7078.0 6738.3 7579.1 17.666 1.239 1.239 Y 154.0 154.0 7179.6 6810.9 7714.7 18.487 1.237 1.237 Y 156.0 156.0 7281.9 6884.5 7833.7 17.159 1.244 1.244 Y 158.0 158.0 7386.2 6960.0 7971.7 18.064 1.241 1.241 Y 160.0 160.0 7490.0 7037.9 8112.6 16.564 1.264 1.264 Y 162.0 162.0 7590.2 7117.7 8240.6 17.022 1.261 1.261 Y 164.0 164.0 7692.0 7193.8 8362.3 17.865 1.248 1.248 Y 166.0 166.0 7790.8 7270.7 8484.1 15.078 1.315 1.315 Y 168.0 168.0 7892.6 7351.2 8608.3 16.645 1.265 1.265 Y