# Northwest Ontario 2,000 Year Lake Depth Data #----------------------------------------------------------------------- # 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/23094 # Description: NOAA Landing Page # # Online_Resource: https://www1.ncdc.noaa.gov/pub/data/paleo/pages2k/NAm2kHydro-2017/noaa-templates/data-version-1.0.0/ELA442.Laird.2012.txt # Online_Resource_Description: This file. NOAA WDS Paleo formatted metadata and data for version 1.0.0 of this dataset. # # Online_Resource: https://www1.ncdc.noaa.gov/pub/data/paleo/pages2k/NAm2kHydro-2017/data-version-1.0.0/ELA442.Laird.2012.lpd # Online_Resource_Description: Linked Paleo Data (LiPD) formatted file containing the same metadata and data as this file, for version 1.0.0 of this dataset. # # Original_Source_URL: this study # Description/Documentation lines begin with # # Data lines have no # # # Archive: Lake Level Reconstruction # Parameter_Keywords: # Dataset_DOI: # #------------------ # Contribution_Date # Date: 2017-11-15 #------------------ # File_Last_Modified_Date # Modified_Date: 2017-11-15 #------------------ # Title # Study_Name: Northwest Ontario 2,000 Year Lake Depth Data #------------------ # Investigators # Investigators: Laird, K.R.; Haig, H.A.; Ma, S.; Kingsbury, M.V.; Brown, T.A.; Lewis, C.F.M.; Oglesby, R.J.; Cumming, B.F. #------------------ # Description_Notes_and_Keywords # Description: Note added by NAm2k hydroclimate authors: RMSEP of diatom-inferred depth is 1.4 m; hence only post AD 1800 trend likely statistically significant #------------------ # Publication # Authors: Kathleen R. Laird, Heather A. Haig, Susan Ma, Melanie V. Kingsbury, Thomas A. Brown, C.F. Michael Lewis, Robert J. Oglesby and Brian F. Cumming # Published_Date_or_Year: 2012 # Published_Title: Expanded spatial extent of the Medieval Climate Anomaly revealed in lake-sediment records across the boreal region in northwest Ontario # Journal_Name: Global Change Biology # Volume: 18 # Edition: # Issue: 9 # Pages: 2869-2881 # Report: # DOI: 10.1111/j.1365-2486.2012.02740.x # Online_Resource: http://onlinelibrary.wiley.com/doi/10.1111/j.1365-2486.2012.02740.x/full # Full_Citation: # Abstract: Multi-decadal to centennial-scale shifts in effective moisture over the past two millennia are inferred from sedimentary records from six lakes spanning a ~250 km region in northwest Ontario. This is the first regional application of a technique developed to reconstruct drought from drainage lakes (open lakes with surface outlets). This regional network of proxy drought records is based on individual within-lake calibration models developed using diatom assemblages collected from surface sediments across a water-depth gradient. Analysis of diatom assemblages from sediment cores collected close to the near-shore ecological boundary between benthic and planktonic diatom taxa indicated this boundary shifted over time in all lakes. These shifts are largely dependent on climate-driven influences, and can provide a sensitive record of past drought. Our lake-sediment records indicate two periods of synchronous signals, suggesting a common large-scale climate forcing. The first is a period of prolonged aridity during the Medieval Climate Anomaly (MCA, c. 900-1400 CE). Documentation of aridity across this region expands the known spatial extent of the MCA megadrought into a region that historically has not experienced extreme droughts such as those in central and western north America. The second synchronous period is the recent signal of the past ~100 years, which indicates a change to higher effective moisture that may be related to anthropogenic forcing on climate. This approach has the potential to fill regional gaps, where many previous paleo-lake depth methods (based on deeper centrally located cores) were relatively insensitive. By filling regional gaps, a better understanding of past spatial patterns in drought can be used to assess the sensitivity and realism of climate model projections of future climate change. This type of data is especially important for validating high spatial resolution, regional climate models. #------------------ # Funding_Agency # Funding_Agency_Name: NSERC # Grant: #------------------ # Site_Information # Site_Name: ELA Lake 442 # Location: North America>Canada>Ontario # Country: Canada # Northernmost_Latitude: 49.77 # Southernmost_Latitude: 49.77 # Easternmost_Longitude: -93.82 # Westernmost_Longitude: -93.82 # Elevation: 411 m #------------------ # Data_Collection # Collection_Name: ELA442.Laird.2012 # Earliest_Year: 1942.31 # Most_Recent_Year: -54.0 # Time_Unit: Cal. Year BP # Core_Length: # Notes: #------------------ # Chronology: # #------------------ # Variables # # Data variables follow that are preceded by "##" in columns one and two. # Data line variables format: Variables list, one per line, shortname-tab-longname-tab-longname components ( 10 components: what, material, error, units, seasonality, archive, detail, method, C or N for Character or Numeric data, additional_information) # ## age_CE age, , , year CE, , , , ,N, ## age_calBP age, , , calendar years before present, , , , ,N, ## lake_depth_m lake depth, ,,m, , paleolimnology, diatom inferred,within-lake calibration, N, # #------------------ # Data: # Data lines follow (have no #) # Data line format - tab-delimited text, variable short name as header) # Missing_Values: # age_CE age_calBP lake_depth_m 2004 -54 14.366 2001 -51 13.486 1992 -42 14.949 1981 -31 15.495 1970 -20 13.452 1962 -12 12.941 1954 -4 12.123 1935 15 12.172 1921 29 12.047 1908 42 11.599 1895 55 12.077 1886 64 12.256 1878 72 11.544 1869 81 11.254 1860 90 11.816 1842.33 107.67 11.387 1824.67 125.33 10.869 1807 143 10.612 1789.33 160.67 10.48 1771.67 178.33 11.114 1754 196 11.422 1736.33 213.67 9.892 1718.67 231.33 10.693 1701 249 10.252 1683.33 266.67 11.704 1665.67 284.33 11.726 1648 302 9.586 1630.33 319.67 10.561 1612.67 337.33 10.772 1595 355 11.359 1577.33 372.67 11.841 1559.67 390.33 10.3 1542 408 10.397 1524.33 425.67 10.803 1506.67 443.33 10.422 1489 461 10.565 1471.33 478.67 10.745 1453.67 496.33 10.264 1436 514 10.331 1418.33 531.67 10.96 1400.67 549.33 10.338 1383 567 9.994 1365.33 584.67 10.524 1347.67 602.33 11.128 1330 620 10.823 1315.5 634.5 10.802 1301 649 11.649 1286.5 663.5 11.088 1272 678 12.146 1257.5 692.5 12.355 1243 707 11.674 1228.5 721.5 10.919 1214 736 11.995 1199.5 750.5 10.901 1185 765 11.021 1169.3 780.7 12.887 1153.6 796.4 12.123 1137.9 812.1 11.731 1122.2 827.8 12.146 1106.5 843.5 12.06 1090.8 859.2 11.637 1075.1 874.9 12.053 1059.4 890.6 10.597 1043.7 906.3 10.658 1028 922 10.651 1012.3 937.7 10.378 996.6 953.4 10.294 980.9 969.1 9.779 965.2 984.8 10.956 949.5 1000.5 9.667 933.8 1016.2 9.916 918.1 1031.9 11.14 902.4 1047.6 10.954 886.7 1063.3 10.894 871 1079 11.128 855.3 1094.7 10.911 839.6 1110.4 10.501 823.9 1126.1 10.455 808.2 1141.8 11.396 792.5 1157.5 12.01 776.8 1173.2 10.583 761.1 1188.9 10.264 745.4 1204.6 11.205 729.7 1220.3 11.232 714 1236 11.104 698.3 1251.7 11.146 682.6 1267.4 10.54 666.9 1283.1 11.175 651.2 1298.8 9.925 635.5 1314.5 11.061 619.8 1330.2 11.354 604.1 1345.9 11.269 588.4 1361.6 11.471 572.7 1377.3 12.13 557 1393 10.466 541.3 1408.7 10.543 525.6 1424.4 10.791 509.9 1440.1 11.469 494.2 1455.8 11.377 478.5 1471.5 10.758 462.8 1487.2 10.209 447.1 1502.9 10.24 431.4 1518.6 9.76 415.7 1534.3 10.428 400 1550 10.75 386.92 1563.08 10.548 373.85 1576.15 10.467 360.77 1589.23 10.506 347.69 1602.31 10.297 334.62 1615.38 9.407 321.54 1628.46 10.236 308.46 1641.54 9.883 295.38 1654.62 10.82 282.31 1667.69 10.729 269.23 1680.77 10.609 256.15 1693.85 11.376 243.08 1706.92 9.854 230 1720 10.086 216.92 1733.08 10.523 203.85 1746.15 10.5 190.77 1759.23 9.739 177.69 1772.31 10.164 164.62 1785.38 9.421 151.54 1798.46 10.194 138.46 1811.54 10.667 125.38 1824.62 10.088 112.31 1837.69 10.377 99.23 1850.77 10.665 86.15 1863.85 9.729 73.08 1876.92 9.487 60 1890 9.407 46.92 1903.08 9.863 33.85 1916.15 11.162 20.77 1929.23 9.116 7.69 1942.31 10.11