# Pompeani fire data from Copper Falls Lake, Great Lakes region - IMPD USCFL001 #----------------------------------------------------------------------- # World Data Service for Paleoclimatology, Boulder # and # NOAA Paleoclimatology Program #----------------------------------------------------------------------- # Template Version 3.0 # Encoding: UTF-8 # # NOTE: Please cite original publication, online resource and date accessed when using this data. # If there is no publication information, please cite Investigator, title, online resource and date accessed. # # Description/Documentation lines begin with # # Data lines have no # # # Online_Resource: https://www.ncdc.noaa.gov/paleo/study/28834 # Description: NOAA Landing Page # Online_Resource: https://www1.ncdc.noaa.gov/pub/data/paleo/firehistory/charcoal/northamerica/supplemental/uscfl001-cn.txt # Description: NOAA location of this template # # Original_Source_URL: https://pubs.acs.org/doi/full/10.1021/acs.est.8b01523 # Description: Environmental Scicence and Technology # # Archive: Fire History # # Dataset_DOI: # # Parameter_Keywords: Michigan, Keweenaw Peninsula, Lake Superior, Holocene, Mercury, Carbon, Nitrogen, Fire history, Paleolimnology #--------------------------------------- # Contribution_Date # Date: 2020-01-15 #--------------------------------------- # File_Last_Modified_Date # Date: 2020-01-15 #--------------------------------------- # Title # Study_Name: Pompeani fire data from Copper Falls Lake, Great Lakes region - IMPD USCFL001 #--------------------------------------- # Investigators # Investigators: Pompeani, David; Cooke, Colin; Abbott, Mark; Drevnick, Paul #--------------------------------------- # Description_Notes_and_Keywords # Description: # Contact person: David Pompeani # Sample storage location: University of Pittsburgh, Department of Geology and Environmental Science # Entity name: Copper Falls Lake # Sampling date: 2011 # Lake surface area (km^2): 0.3 # Lake watershed area (not including surface area)(km^2): 0.4 # Location description: Keweenaw Peninsula # State/Province: Michigan # Core Diameter(cm): 6.6 # Water depth(cm): 300 # Sampling device: 1 cm^3 piston sampler # Instrumentation: binocular microscope # Analysis method: Sediment subsamples (1 cm^3) for charcoal analysis were measured continuously down core at 1-cm intervals. Prior to counting, the samples were treated with 7% H2O2 overnight at 60 °C in 20 mL HDPE scintillation vials, shaken briefly by hand, and sieved with tap water at 125 µm to isolate the larger charcoal particulates. Charcoal concentration is defined as >125 µm charcoal counts per cm^3 of wet sediment. Charcoal accumulation rates (CHAR) were calculated by multiplying charcoal concentration by sedimentation rate. CHAR background levels were estimated using a 500-year moving average window. # Provided Keywords: Michigan, Keweenaw Peninsula, Lake Superior, Holocene, Mercury, Carbon, Nitrogen, Fire #--------------------------------------- # Publication # Authors: David P. Pompeani, Colin A. Cooke, Mark B. Abbott, Paul E. Drevnick # Published_Date_or_Year: 2018 # Published_Title: Climate, Fire, and Vegetation Mediate Mercury Delivery to Midlatitude Lakes over the Holocene # Journal_Name: Environmental Science and Technology # Volume: 52 # Edition: # Issue: 15 # Pages: 8157-8164 # Report_Number: # DOI: https://doi.org/10.1021/acs.est.8b01523 # Online_Resource: # Full_Citation: # Abstract: The rise in mercury concentrations in lake sediment deposited over the last ~150 years is widely recognized to have resulted from human activity. However, few studies in the Great Lakes region have used lake sediment to reconstruct atmospheric mercury deposition on millennial time scales. Here we present a 9000-year mercury record from sediment in Copper Falls; a small closed-basin lake on the Keweenaw Peninsula. Prior to abrupt increases in the 19th and 20th centuries, mercury remains at relatively low concentrations for the last 9000 years. Higher mercury fluxes in the early Holocene (3.4 ± 1.1 µg m–2 yr–1) are attributed to drier conditions and greater forest fire occurrence. The gradual decline in mercury flux over the middle to late Holocene (1.9 ± 0.2 µg m–2 yr–1) is interpreted to reflect a transition to wetter conditions, which reduced forest fires, and promoted the development of soil organic matter and deciduous forests that sequestered natural sources of mercury. The Copper Falls Lake record highlights the sensitivity of watersheds to changes in mercury inputs from both human and natural forcings, and provides millennial-scale context for recent mercury contamination that will aid in establishing baseline values for restoration efforts. #--------------------------------------- # Funding_Agency # Funding_Agency_Name: Geological Society of America # Grant: Graduate Student Research Award #--------------------------------------- # Site_Information # Site_Name: Copper Falls Lake # Location: Keweenaw Peninsula, Michigan # Country: United States # Northernmost_Latitude: 47.417 # Southernmost_Latitude: 47.417 # Easternmost_Longitude: -88.192 # Westernmost_Longitude: -88.192 # Elevation: 392 #--------------------------------------- # Data_Collection # Collection_Name: USCFL001 Hg # First_Year: 12002 # Last_Year: -60 # Time_Unit: cal yr BP # Core_Length: # Notes: Copper Falls Lake cores A10 and B10 #--------------------------------------- # Chronology_Information # Chronology: # # Paste Measured Radiocarbon Ages into a table below. Ages from other sources can be included using the depth, calib.14C, and notes columns # ID date type # C14_age conventional radiocarbon date, years before 1950AD # cal_BP radiometric age in calendar years before 1950AD # error one standard deviation error in years # depth core depth in centimeters # thickness thickness of sample in cm # # ID C14_age cal_BP error depth thickness # Pb-210 NaN -59 1 0.25 0.5 # Pb-210 NaN -58 1 0.75 0.5 # Pb-210 NaN -57 1 1.25 0.5 # Pb-210 NaN -56 1 1.75 0.5 # Pb-210 NaN -55 1 2.25 0.5 # Pb-210 NaN -53 1 2.75 0.5 # Pb-210 NaN -52 1 3.25 0.5 # Pb-210 NaN -51 1 3.75 0.5 # Pb-210 NaN -50 1 4.25 0.5 # Pb-210 NaN -46 1 4.75 0.5 # Pb-210 NaN -43 1 5.75 0.5 # Pb-210 NaN -39 1 6.75 0.5 # Pb-210 NaN -34 1 7.75 0.5 # Pb-210 NaN -30 1 8.75 0.5 # Pb-210 NaN -23 2 9.75 0.5 # Pb-210 NaN -18 2 11.25 0.5 # Pb-210 NaN -13 2 12.25 0.5 # Pb-210 NaN -4 2 13.25 0.5 # Pb-210 NaN 0 2 14.25 0.5 # Pb-210 NaN 9 3 15 0.5 # Pb-210 NaN 22 3 15.75 0.5 # Pb-210 NaN 32 4 17.25 0.5 # Pb-210 NaN 70 8 18.25 0.5 # C-14 1090 NaN 15 31.25 1 # C-14 1260 NaN 20 58.5 1 # C-14 3435 NaN 20 106.5 1 # C-14 4435 NaN 20 157.5 1 # C-14 4550 NaN 20 171.5 1 # C-14 5110 NaN 70 188.5 1 # C-14 5755 NaN 40 226.5 1 # C-14 6455 NaN 20 269.5 1 # C-14 7260 NaN 20 308 1 # C-14 8125 NaN 20 355.5 1 # C-14 8745 NaN 25 405.5 1 # C-14 10255 NaN 25 436.5 1 # #--------------------------------------- # 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-cm-mean average depth of sample,,,centimeter,,fire history;paleolimnology,,,N, ## age-calBP-best age,,,calendar year before present,,fire history;paleolimnology,,,N,best age estimate of sample; CLAM output ## carbon carbon,dry sediment,,weight percent,,fire history;paleolimnology,,,N, ## nitrogen nitrogen,dry sediment,,weight percent,,fire history;paleolimnology,,,N, #------------------------ # Data # Data lines follow (have no #) # Data line format - tab-delimited text, variable short name as header # Missing_Values: depth-cm-mean age-calBP-best carbon nitrogen 0.25 -60 33.97 2.21 0.75 -59 31.12 2.26 1.25 -57 26.93 2.54 1.75 -56 27.50 2.52 2.25 -55 26.52 2.53 2.75 -54 26.78 2.47 3.25 -52 26.07 2.51 3.75 -51 26.04 2.54 4.25 -49 26.73 2.52 4.75 -48 26.37 2.55 5.75 -45 25.89 2.52 6.75 -42 25.68 2.42 7.75 -38 25.66 2.32 8.75 -34 25.01 2.17 9.75 -29 26.72 2.16 11.25 -20 25.70 2.02 12.25 -11 25.78 2.00 13.25 -1 26.56 1.95 14.25 12 26.80 2.05 15 25 26.87 1.94 15.75 39 32.39 1.96 17.25 71 30.19 2.22 18.25 97 30.74 2.14 20.25 159 31.39 2.28 21.25 193 32.35 2.28 22.25 229 35.59 2.58 24.25 307 33.40 2.31 26.25 388 32.97 2.11 28.25 470 32.92 2.34 30.25 551 33.67 2.09 31.25 590 34.63 2.08 32.75 645 33.89 2.07 34.25 698 32.88 2.03 35.75 748 31.08 2.10 37.25 796 32.35 2.13 38.75 841 32.34 1.96 40.25 885 31.26 2.06 41.75 927 31.73 2.05 43.25 969 31.18 2.03 44.75 1010 32.00 2.00 46.25 1050 33.88 2.08 47.75 1091 31.63 2.02 49.25 1131 30.69 2.09 52.5 1221 29.67 1.99 55.5 1310 28.31 1.99 58.5 1406 26.95 1.98 61.5 1511 26.26 1.91 64.5 1627 28.58 1.99 67.5 1751 27.83 1.95 70.5 1881 26.72 1.95 73.5 2017 26.02 1.78 76.5 2158 26.24 1.91 79.5 2303 24.67 1.80 82.5 2451 23.06 1.73 85.5 2600 25.14 1.86 88.5 2750 24.60 1.83 91.5 2898 22.63 1.64 94.5 3045 25.76 1.90 97.5 3190 24.03 1.77 100.5 3330 24.15 1.85 103.5 3465 23.26 1.75 106.5 3594 23.72 1.79 109.5 3716 23.52 1.85 112.5 3830 23.97 1.96 115.5 3939 24.97 1.89 118.5 4041 23.55 1.82 121.5 4138 29.20 2.31 124.5 4229 23.03 1.83 127.5 4316 23.36 1.84 130.5 4398 22.15 1.62 133.5 4476 22.22 1.84 136.5 4550 22.85 1.85 139.5 4622 21.01 1.72 142.5 4691 21.08 1.72 145.5 4757 23.08 1.73 148.5 4821 21.71 1.78 151.5 4883 21.20 1.67 153.5 4925 22.25 1.62 155.5 4965 23.08 1.71 157.5 5006 23.51 1.79 159.5 5046 23.82 1.83 161.5 5087 25.53 2.02 163.5 5128 23.80 1.87 165.5 5169 21.92 1.68 167.5 5212 22.78 1.79 169.5 5256 25.10 1.98 171.5 5301 27.59 2.20 173.5 5347 28.48 2.15 175.5 5394 29.41 2.14 177.5 5443 28.63 2.19 179.5 5493 27.59 2.09 181.5 5543 26.98 2.01 183.5 5593 22.95 1.80 185.5 5643 22.57 1.63 187.5 5693 20.11 1.64 189.5 5743 17.54 1.35 191.5 5792 16.99 1.38 193.5 5840 20.03 1.69 195.5 5888 22.3 1.94 197.5 5935 21.22 1.91 199.5 5981 20.63 2.01 201.5 6027 18.91 1.76 203.5 6073 20.96 1.87 205.5 6117 21.46 1.93 207.5 6162 21.07 1.95 209.5 6205 22.11 2.03 213.5 6291 22.52 2.08 215.5 6333 23.58 2.03 217.5 6375 23.26 2.11 219.5 6416 23.25 2.12 221.5 6457 23.49 2.14 223.5 6498 24.32 2.20 225.5 6538 25.93 2.32 227.5 6578 24.67 2.18 229.5 6618 22.37 1.99 231.5 6657 21.16 1.76 234.5 6716 23.99 2.13 237.5 6774 20.63 1.94 240.5 6831 19.67 1.71 243.5 6889 20.66 1.86 246.5 6945 21.37 1.70 249.5 7001 19.55 1.69 252.5 7057 22.31 2.10 255.5 7113 17.56 1.54 258.5 7169 19.13 1.72 261.5 7224 19.60 1.80 264.5 7279 20.25 1.86 267.5 7334 20.40 1.99 270.5 7390 21.61 2.04 273.5 7445 21.86 1.95 276.5 7501 19.74 1.74 279.5 7556 20.76 1.92 282.5 7612 22.25 1.90 285.5 7668 24.33 1.87 288.5 7725 21.81 1.81 291.5 7782 18.25 1.52 294.5 7839 24.76 1.91 297.5 7897 20.89 1.69 300.5 7956 21.24 1.84 302.5 7995 23.34 2.12 304.5 8034 23.61 2.06 306.5 8074 24.14 1.91 308.5 8115 23.96 1.77 310.5 8155 25.08 2.04 312.5 8196 23.73 2.14 314.5 8237 25.03 2.27 316.5 8278 27.15 2.11 318.5 8319 22.57 1.92 320.5 8359 21.53 1.61 322.5 8400 22.68 1.99 324.5 8441 24.63 2.15 326.5 8481 25.60 2.21 328.5 8521 21.69 1.87 330.5 8561 20.51 1.73 332.5 8600 18.70 1.51 334.5 8638 19.71 1.60 336.5 8676 19.27 1.59 338.5 8713 20.30 1.56 340.5 8749 22.94 1.63 342.5 8783 21.83 1.62 344.5 8817 21.29 1.77 346.5 8851 22.35 1.88 348.5 8883 19.69 1.62 350.5 8914 19.81 1.83 352.5 8944 22.21 1.91 354.5 8972 24.93 2.08 356.5 8998 24.48 2.06 358.5 9024 23.75 1.8