# Alanen Laanijarvi Lake Surface Air Temperature Reconstructions for the Past 8600 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/30813 # 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/AlanenLaanijarvi.Heinrichs.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/AlanenLaanijarvi.Heinrichs.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: 2020-08-12 #------------------ # Title # Study_Name: Alanen Laanijarvi Lake Surface Air Temperature Reconstructions for the Past 8600 Years #------------------ # Investigators # Investigators: Heinrichs, Markus L.; Peglar, Sylvia M.; Bigler, Christian; Birks, H. John B. #------------------ # 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: Heinrichs, Markus L.; Peglar, Sylvia M.; Bigler, Christian; Birks, H. John B. # Published_Date_or_Year: 2008 # Published_Title: A multi-proxy palaeoecological study of Alanen Laanij _rvi, a boreal-forest lake in Swedish Lapland # Journal_Name: Boreas # Volume: 34 # Edition: # Issue: 2 # Pages: 192-206 # Report: # DOI: 10.1111/j.1502-3885.2005.tb01015.x # Online_Resource: # Full_Citation: # Abstract: Chironomids, pollen and spores were used to reconstruct Holocene aquatic and terrestrial environments at Alanen Laanijärvi, northern Sweden. Chironomid analysis revealed a pattern of limnological evolution from oligotrophic conditions in a relatively deep lake during 8.6 to 5.5 cal. kaBP, followed by a period of lake shallowing from 5.5 to 2.7 cal. ka BP. Increases in acidity and littoral habitat complexity may have occurred from 2.7cal. kaBP to the present, though some compositional changes may have resulted from human disturbance. Chironomid-inferred mean July air temperatures range between 9.8C in the Early Holocene to 11.3C in the Late Holocene. Limitations on chironomid-based quantitative temperature interpretations may exist because of low taxon richness. Diatoms were recovered from the upper sediments only, from about AD 1800. Pollen and spore analysis revealed an early colonizing vegetation of juniper, sedges and birch soon after local deglaciation, followed by birch forests until about 8.3 cal. kaBP. Alder stands occurred locally to 5.5 cal. kaBP, when pine and spruce forests developed and remain to the present day. These results suggest that little major terrestrial vegetation change may occur in some northern environments with predicted future global warming, where it is predicted to be most severe. Aquatic environments may, however, be greatly affected by a shift in precipitation regime, causing changes in allochthonous organic input, lake depth and possibly the amount of human activity or disturbance in the watershed. #------------------ # 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: Alanen Laanijarvi # Location: Europe>Northern Europe>Scandinavia>Sweden # Country: Sweden # Northernmost_Latitude: 67.97 # Southernmost_Latitude: 67.97 # Easternmost_Longitude: 20.48 # Westernmost_Longitude: 20.48 # Elevation: 365 #------------------ # Data_Collection # Collection_Name: AlanenLaanijarvi.Heinrichs.2005 # Earliest_Year: 8565.18 # Most_Recent_Year: -45.0 # Time_Unit: cal yr BP # Core_Length: # Notes: #------------------ # Species # Species_Name: # Species_Code: # Common_Name: #------------------ # Chronology_Information # Chronology: # OriginalDateID depth age_type age uncertainty old uncertainty young AdditionalNotes # TUa-1332A 64.0 age14C 3115.0 55.0 55.0 bulk sediment sample # TUa-1333A 106.0 age14C 4020.0 70.0 70.0 bulk sediment sample # TUa-1334A 146.0 age14C 5260.0 75.0 75.0 bulk sediment sample # TUa-1335A 182.0 age14C 6265.0 95.0 95.0 bulk sediment sample # TUa-1336A 212.0 age14C 7245.0 80.0 80.0 bulk sediment sample # TUa-1337A 220.0 age14C 7980.0 90.0 90.0 bulk sediment sample #------------------ # 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,,,,,insect;paleolimnology;climate reconstructions,,,C,OriginalSampleID ## depth depth,,,centimeter,,insect;paleolimnology;climate reconstructions,,,N,unknown sampling measuring point, core was collected in 1994. ## age age,,,calendar year before present,,insect;paleolimnology;climate reconstructions,,,N, ## temperature surface air temperature,midge assemblage,,degree Celsius,Jul,insect;paleolimnology;climate reconstructions,,,N,100-lake training set from Sweden (Larocque et al. 2001); 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,,insect;paleolimnology;climate reconstructions,,,N,non-reliable temperature # #------------------ # Data: # Data lines follow (have no #) # Data line format - tab-delimited text, variable short name as header # Missing_Values: nan # OriginalSampleID depth age temperature uncertainty uncertainty-1 reliable nonReliabletemperature 811.0 1.0 -45.0 10.581 11.701 9.461 y nan 818.0 8.0 292.27 10.445 11.565 9.325 y nan 826.0 16.0 687.47 11.499 12.619 10.379 y nan 834.0 24.0 1079.71 11.619 12.739 10.499 y nan 842.0 32.0 1467.39 11.296 12.416 10.176 y nan 850.0 40.0 1848.87 11.274 12.394 10.154 y nan 858.0 48.0 2222.56 11.817 12.937 10.697 y nan 866.0 56.0 2586.82 11.97 13.09 10.85 y nan 874.0 64.0 2940.05 10.576 11.696 9.456 y nan 882.0 72.0 3281.16 11.297 12.417 10.177 y nan 890.0 80.0 3610.98 10.678 11.798 9.558 y nan 898.0 88.0 3930.79 10.382 11.502 9.262 y nan 914.0 104.0 4545.46 10.605 11.725 9.485 y nan 922.0 112.0 4842.82 10.899 12.02 9.78 y nan 930.0 120.0 5134.73 10.528 11.648 9.408 y nan 938.0 128.0 5421.79 11.235 12.355 10.115 y nan 946.0 136.0 5704.62 10.34 11.46 9.22 y nan 954.0 144.0 5983.8 10.562 11.682 9.442 y nan 962.0 152.0 6259.94 11.044 12.165 9.925 y nan 970.0 160.0 6533.67 10.63 11.75 9.51 y nan 978.0 168.0 6805.62 10.873 11.993 9.753 y nan 986.0 176.0 7076.45 11.095 12.215 9.975 y nan 994.0 184.0 7346.78 nan 11.447 9.207 n 10.3267 1000.0 190.0 7549.5 nan 11.001 8.761 n 9.8814 1008.0 198.0 7819.91 11.169 12.289 10.049 y nan 1016.0 206.0 8090.58 nan 10.959 8.719 n 9.8393 1024.0 214.0 8361.65 10.762 11.882 9.642 y nan 1028.0 218.0 8497.33 10.719 11.839 9.599 y nan 1030.0 220.0 8565.18 nan 11.388 9.148 n 10.2679