# Étang Fer-de-Lance, Québec 2,300 year Pollen Data and Climate Reconstructions #----------------------------------------------------------------------- # 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/32252 # Description: NOAA Landing Page # Online_Resource: https://www.ncei.noaa.gov/pub/data/paleo/paleolimnology/northamerica/canada/pq/fer-de-lance2021char.txt # Description: NOAA location of the template # # Original_Source_URL: # Description: # # Description/Documentation lines begin with # # Data lines have no # # # Data Type: Paleolimnology # # Dataset DOI: # # Parameter_Keywords: geochemistry, population abundance, reconstruction #-------------------- # Contribution_Date # Date: 2021-02-28 #-------------------- # File_Last_Modified_Date # Date: 2021-02-28 #-------------------- # Title # Study_Name: Étang Fer-de-Lance, Québec 2,300 year Pollen Data and Climate Reconstructions #-------------------- # Investigators # Investigators: O'Neill Sanger, C.E.; St-Jacques, J.-M.; Peros, M.C.; Schwartz, K.A. #-------------------- # Description_Notes_and_Keywords # Description: Pollen counts plus charcoal and loss-on-ignition data from sediments collected in Étang Fer-de-Lance, Parc national de Mont-Orford, southeastern Québec, Canada, plus temperature and precipitation reconstructions, for the past 2,300 years. # Provided Keywords: vegetation, reconstruction, air temperature, precipitation, high-resolution pollen analysis, Little Ice Age, Medieval Climate Anomaly, pre-Contact Indigenous agriculture, Quebec, vegetation dynamics, Dark Ages Cold Period #-------------------- # Publication # Authors: Claire E. O'Neill Sanger, Jeannine-Marie St-Jacques, Matthew C. Peros, Kayden Avery Schwartz # Published_Date_or_Year: 2021-02-23 # Published_Title: Reconstructed high-resolution forest dynamics and human impacts of the past 2300 years of the Parc national de Mont-Orford, southeastern Québec, Canada # Journal_Name: The Holocene # Volume: # Edition: # Issue: # Pages: # Report_Number: # DOI: 10.1177/0959683621994642 # Online_Resource: https://journals.sagepub.com/doi/10.1177/0959683621994642 # Full_Citation: # Abstract: We used a high-resolution lacustrine pollen record from Étang Fer-de-Lance (45 21'21.9"N, 72 13'35.3"W), southeastern Québec, Canada, together with microcharcoal, to infer forest dynamics and human impacts over the past 2300 years. The lake is located in the eastern sugar maple-basswood forest domain of the Northern Temperate Forest of eastern North America. We found that the pollen percentages and influxes of Fagus grandifolia (American beech) and Tsuga canadensis (eastern hemlock) significantly declined over the past 700 years. Over the last millennium, the pollen percentages and influxes of the Picea species (P. glauca, P. mariana, P. rubens) (white, black, and red spruce), and Pinus strobus (eastern white pine) significantly increased. We showed that these shifts in forest composition are being driven by changes in regional climate. In addition to the pollen percentage changes, the Medieval Climate Anomaly (AD 800-1300) appeared as increased pollen influxes and the Dark Ages Cold Period (AD 400-700) and Little Ice Age (AD 1400-1800) appeared as decreased pollen influxes. The signal for human modification of the landscape first appeared at ~AD 1550-1650 as increases in Ambrosia (ragweed) and Poaceae (grasses) from possible Indigenous agriculture. The signal of European settler landscape modification appeared at ~AD 1770 as the beginning of a steep, "classic" Ambrosia rise. It intensified over the subsequent 250 years as further increases in non-arboreal pollen taxa and early successional Acer (maple) species. Microcharcoal analysis showed that fire was a re-occurring event in the sugar maple-basswood domain, but had little impact on forest composition. #------------------ # Funding_Agency # Funding_Agency_Name: Natural Sciences and Engineering Research Council of Canada # Grant: Discovery Grant #------------------ # Funding_Agency # Funding_Agency_Name: Fonds de recherche du Québec - Nature et technologies # Grant: Nouveaux chercheurs Grant #------------------ # Funding_Agency # Funding_Agency_Name: Canada Foundation for Innovation # Grant: #------------------ # Site_Information # Site_Name: Étang Fer-de-Lance # Location: North America>Canada>Quebec # Country: Canada # Northernmost_Latitude: 45.35608 # Southernmost_Latitude: 45.35608 # Easternmost_Longitude: -72.22647 # Westernmost_Longitude: -72.22647 # Elevation: 288 #------------------ # Data_Collection # Collection_Name: FDL2021char # Earliest_Year: -365 # Most_Recent_Year: 2018 # Time_Unit: Year CE # Core_Length: 2.47 # Notes: #------------------ # Chronology_Information # Chronology: # # labID age error depth cc dating method # surface -68 1 0 0 210Pb # FDL2_2-3 -66 1 3 0 210Pb # FDL2_4-5 -60 2 5 0 210Pb # FDL2_6-7 -57 3 7 0 210Pb # FDL2_8-9 -54 4 9 0 210Pb # FDL2_10-11 -50 5 11 0 210Pb # FDL2_15-16 -40 8 16 0 210Pb # FDL2_20-21 -31 10 21 0 210Pb # FDL2_25-26 -17 12 26 0 210Pb # FDL2_30-31 1 15 31 0 210Pb # FDL2_35-36 30 17 36 0 210Pb # FDL2_40-41 70 20 41 0 210Pb # FDL2_60-61 273 37 61 1 C14 # FDL-P2_26-27 529 38 77 1 C14 # FDL-P2_45-46 1111 70 96 1 C14 # FDL-P2_60-61 1836 85 111 1 C14 # FDL-P2_77 1130 19 127 1 C14 # FDL-P2_100-101 1916 84 151 1 C14 # FDL-P3_17-18 2087 61 169 1 C14 # FDL-P3_50-51 1773 50 202 1 C14 # FDL-P3_75-76 2504 81 227 1 C14 # FDL-P3_89-90 2216 40 241 1 C14 # FDL-P3_95-96 2223 42 247 1 C14 # #---------------- # Variables # # Data variables follow are preceded by "##" in columns one and two. # Data line variables format: one per line, shortname-tab-variable components (what, material, error, units, seasonality, data type,detail, method, C or N for Character or Numeric data, free text) # ## Year age, , , year Common Era, , paleolimnology;fire history, , ,N, ## depth depth, , , centimeter, , paleolimnology;fire history, , ,N, depth below surface ## CHAR charcoal, sediment, , square millimeter per square centimeter per year, ,paleolimnology;fire history,,,N, # #---------------- # Data: # Data lines follow (have no #) # Data line format - tab-delimited text, variable short name as header # Missing Values: NA # Year depth CHAR 2018 1 0.0541 2016 2 0.1176 2015 3 0.1691 2014 4 0.2648 2012 5 0.1230 2010 6 0.1626 2009 7 0.0475 2007 8 0.0256 2005 9 0.1726 2003 10 0.1004 2001 11 0.0420 1999 12 0.0761 1997 13 0.1350 1995 14 0.1022 1993 15 0.0762 1991 16 0.1252 1988 17 0.0272 1986 18 0.0870 1984 19 0.4159 1982 20 0.2172 1979 21 0.1885 1976 22 0.4241 1974 23 0.0515 1971 24 0.2063 1968 25 0.3416 1965 26 0.3744 1962 27 0.1467 1958 28 0.4214 1955 29 0.1704 1952 30 0.4540 1947 31 0.2871 1942 32 0.3324 1937 33 0.1955 1932 34 0.2901 1928 35 0.2719 1921 36 0.1145 1915 37 0.2836 1908 38 0.6714 1902 39 0.0970 1895 40 0.3237 1883 41 0.6355 1872 42 0.2968 1860 43 0.4231 1848 44 0.3361 1836 45 0.5817 1822 46 0.6077 1808 47 1.8879 1794 48 0.4090 1780 49 0.5674 1766 50 0.3498 1752 51 0.2138 1738 52 0.1194 1724 53 0.1231 1710 54 0.3348 1696 55 0.3810 1682 56 0.2839 1668 57 0.8824 1654 58 0.1395 1640 59 0.0809 1626 60 0.2445 1612 61 NA 1598 62 0.1103 1585 63 0.1010 1571 64 0.0801 1557 65 0.1748 1544 66 0.1360 1531 67 0.0739 1518 68 0.0919 1505 69 0.1425 1491 70 0.0540 1479 71 0.2150 1466 72 0.4348 1454 73 0.1070 1441 74 0.1360 1428 75 0.1591 1414 76 0.0376 1399 77 0.2666 1384 78 0.0592 1369 79 0.0438 1355 80 0.1118 1340 81 0.2104 1325 82 0.1934 1310 83 0.2210 1295 84 0.1936 1280 85 0.2416 1265 86 0.5570 1250 87 0.1992 1235 88 0.5254 1220 89 0.2908 1205 90 0.2690 1190 91 0.3192 1174 92 0.1730 1158 93 0.2918 1143 94 0.4842 1127 95 0.2827 1116 96 0.4473 1105 97 0.3281 1095 98 1.5438 1084 99 0.1866 1073 100 0.2278 1063 101 0.2643 1053 102 0.1717 1044 103 0.1178 1034 104 0.2925 1024 105 0.1175 1015 106 0.1921 1006 107 0.1791 996 108 0.1247 987 109 0.3109 977 110 0.0559 970 111 0.0231 962 112 0.0309 954 113 0.1198 946 114 0.1907 938 115 0.1474 931 116 0.1076 923 117 0.1286 916 118 0.3362 908 119 0.0902 901 120 0.0940 894 121 0.1463 887 122 0.0804 879 123 0.1061 872 124 0.2946 865 125 0.1222 854 126 0.1687 844 127 0.0282 833 128 0.1103 823 129 0.0908 812 130 0.1041 798 131 0.2213 783 132 0.2352 768 133 0.1112 754 134 0.0985 739 135 0.0990 723 136 0.0873 708 137 0.1749 692 138 0.1109 676 139 0.1406 660 140 0.1244 645 141 1.1226 629 142 0.2515 614 143 0.1033 598 144 0.0560 583 145 0.3900 568 146 NA 552 147 0.1282 537 148 0.0546 521 149 0.0579 506 150 0.0316 494 151 0.1764 483 152 0.0489 472 153 0.1926 460 154 0.0414 449 155 0.0779 439 156 0.1184 429 157 0.0594 419 158 0.0431 409 159 0.0588 399 160 0.0295 389 161 0.0376 379 162 0.1845 369 163 0.0702 359 164 0.0216 349 165 0.0537 340 166 0.1675 331 167 0.0181 322 168 0.0692 313 169 0.0476 304 170 0.0663 297 171 0.1239 290 172 0.0383 283 173 0.0292 276 174 0.0378 269 175 0.0505 262 176 0.0608 255 177 0.0709 249 178 0.0866 242 179 0.0662 235 180 0.1593 228 181 0.1382 221 182 0.1598 214 183 0.0541 207 184 0.0913 200 185 0.0413 194 186 0.0407 187 187 0.1704 180 188 0.0383 173 189 0.0409 166 190 0.0750 160 191 0.0077 153 192 0.0093 146 193 0.0478 139 194 0.0837 133 195 0.1490 126 196 0.1873 119 197 0.1244 112 198 0.0729 105 199 0.0736 98 200 0.1963 90 201 0.1997 81 202 0.0466 72 203 0.0452 63 204 0.0362 55 205 0.1579 44 206 0.0908 33 207 0.0395 22 208 0.0838 12 209 0.0943 1 210 0.0724 -10 211 0.0596 -22 212 0.0428 -33 213 0.0956 -44 214 0.0611 -55 215 0.0507 -67 216 0.0830 -78 217 0.1030 -90 218 0.0172 -101 219 0.0993 -112 220 0.1144 -124 221 0.0708 -135 222 0.4107 -147 223 0.0793 -158 224 0.0983 -170 225 0.1251 -179 226 0.2530 -188 227 0.3605 -198 228 0.0876 -207 229 0.3938 -216 230 0.1650 -224 231 0.1558 -233 232 0.2740 -241 233 0.1748 -249 234 0.0544 -257 235 0.0255 -265 236 0.0489 -273 237 0.0784 -282 238 0.0667 -290 239 0.0673 -298 240 0.0919 -307 241 0.0675 -317 242 0.0400 -326 243 0.1147 -336 244 0.0329 -345 245 0.1099 -355 246 0.0557 -365 247 0.0534