# Bogs of the Western Great Lakes Region, North America Medieval Climate Anomaly Drought 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/23086 # Online_Resource_Description: Landing Page for this study. # # Online_Resource: https://www1.ncdc.noaa.gov/pub/data/paleo/pages2k/NAm2kHydro-2017/noaa-templates/data-version-1.0.0/SouthRhodyBog.Booth.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/SouthRhodyBog.Booth.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. # Description/Documentation lines begin with # # Data lines have no # # # Archive: Paleolimnology # Parameter_Keywords: earth science>paleoclimate>reconstructions>ground water # Dataset_DOI: 2017-11-13 # #------------------ # Contribution_Date # Date: 2017-11-13 #------------------ # File_Last_Modified_Date # Modified_Date: 2017-11-13 #------------------ # Title # Study_Name: Bogs of the Western Great Lakes Region, North America Medieval Climate Anomaly Drought Data #------------------ # Investigators # Investigators: Booth, Robert K.; Jackson, Stephen T.; Sousa, Valerie A.; Sullivan, Maura E.; Minckley, Thomas A.; Clifford, Michael J. #------------------ # Description_Notes_and_Keywords # Description: #------------------ # Publication # Authors: Booth, Robert K.; Jackson, Stephen T.; Sousa, Valerie A.; Sullivan, Maura E.; Minckley, Thomas A.; Clifford, Michael J. # Published_Date_or_Year: 2012 # Published_Title: Multi-decadal drought and amplified moisture variability drove rapid forest community change in a humid region # Journal_Name: Ecology # Volume: 93 # Edition: # Issue: 2 # Pages: # Report: # DOI: 10.1890/11-1068.1 # Online_Resource: # Full_Citation: # Abstract: Climate variability, particularly the frequency of extreme events, is likely to increase in the coming decades, with poorly understood consequences for terrestrial ecosystems. Hydroclimatic variations of the Medieval Climate Anomaly (MCA) provide a setting for studying ecological responses to recent climate variability at magnitudes and timescales comparable to expectations of coming centuries. We examined forest response to the MCA in the humid western Great Lakes region of North America, using proxy records of vegetation, fire, and hydroclimate. Multi-decadal moisture variability during the MCA was associated with a widespread, episodic decline in Fagus grandifolia (beech) populations. Spatial patterns of drought and forest changes were coherent, with beech declining only in areas where proxy-climate records indicate that severe MCA droughts occurred. The occurrence of widespread, drought-induced ecological changes in the Great Lakes region indicates that ecosystems in humid regions are vulnerable to rapid changes in drought magnitude and frequency. #------------------ # Funding_Agency # Funding_Agency_Name: # Grant: #------------------ # Site_Information # Site_Name: South Rhody Bog # Location: Michigan # Country: # Northernmost_Latitude: 46.56 # Southernmost_Latitude: 46.56 # Easternmost_Longitude: -86.07 # Westernmost_Longitude: -86.07 # Elevation: 290 #------------------ # Data_Collection # Collection_Name: SouthRhodyBog.Booth.2012 # Earliest_Year: 5158.2 # Most_Recent_Year: -38.0 # Time_Unit: BP # Core_Length: # Notes: #------------------ # Species # Species_Name: # Species_Code: # Common_Name: #------------------ # Chronology: #id age error depth cc dR dSTD ta tb #nan -50.0 1.0 0.0 0.0 0.0 0.0 33.0 34.0 #GX-28713 970.0 40.0 91.5 1.0 0.0 0.0 3.0 4.0 #CURL-5454 1520.0 50.0 129.5 1.0 0.0 0.0 3.0 4.0 #GX-28986 2210.0 40.0 171.5 1.0 0.0 0.0 3.0 4.0 #GX-28985 2670.0 40.0 215.5 1.0 0.0 0.0 3.0 4.0 #GX-28984 3640.0 40.0 275.5 1.0 0.0 0.0 3.0 4.0 #GX-28982 4230.0 40.0 305.5 1.0 0.0 0.0 3.0 4.0 #UGA-11023 4460.0 40.0 328.5 1.0 0.0 0.0 3.0 4.0 #GX-28983 6010.0 40.0 375.5 1.0 0.0 0.0 3.0 4.0 #CURL-5449 9350.0 55.0 465.5 1.0 0.0 0.0 3.0 4.0 # #------------------ # 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) ##year age,,,year CE,,,,,N ##Water_tableDepth_cm_ water table depth,,,cm, ,climate reconstructions;paleolimnology,,,N, ##age age, , , calendar years before present, , , , ,N ##depth depth, ,,cm, ,, ,,N, ##err water table depth,,unspecified error,cm, ,climate reconstructions;paleolimnology,,,N # #------------------ # Data: # Data lines follow (have no #) # Data line format - tab-delimited text, variable short name as header) # Missing_Values: nan # year Water_tableDepth_cm_ age depth err 1988.0 22.953 -38.0 1.5 7.996 1971.85 14.309 -21.85 3.5 8.011 1954.65 11.742 -4.65 5.5 8.012 1933.55 12.336 16.45 7.5 8.02 1915.1 12.856 34.9 9.5 8.017 1894.5 24.371 55.5 11.5 8.013 1872.2 9.958 77.8 13.5 8.061 1852.2 16.438 97.8 15.5 7.988 1830.65 3.608 119.35 17.5 7.996 1809.7 4.948 140.3 19.5 8.007 1789.3 14.45 160.7 21.5 8.003 1768.35 41.77 181.65 23.5 8.363 1748.1 15.303 201.9 25.5 8.021 1725.4 10.676 224.6 27.5 7.993 1704.25 7.004 245.75 29.5 7.998 1683.45 2.313 266.55 31.5 7.997 1662.6 2.184 287.4 33.5 8.028 1642.25 15.008 307.75 35.5 7.993 1620.4 8.124 329.6 37.5 8.013 1598.9 3.109 351.1 39.5 8.005 1578.25 10.797 371.75 41.5 7.996 1557.6 2.825 392.4 43.5 8.025 1536.8 12.907 413.2 45.5 8.032 1514.05 9.487 435.95 47.5 8.007 1492.25 21.209 457.75 49.5 7.997 1471.25 15.353 478.75 51.5 7.988 1450.35 0.644 499.65 53.5 8.017 1428.7 2.234 521.3 55.5 8.0 1407.75 6.103 542.25 57.5 7.999 1386.6 8.315 563.4 59.5 7.997 1365.65 12.051 584.35 61.5 8.019 1343.55 5.76 606.45 63.5 7.996 1322.55 5.747 627.45 65.5 8.016 1302.35 12.119 647.65 67.5 8.032 1281.9 9.811 668.1 69.5 8.042 1261.6 7.907 688.4 71.5 7.995 1241.35 7.621 708.65 73.5 7.992 1221.05 6.848 728.95 75.5 8.164 1200.95 8.284 749.05 77.5 8.014 1180.6 9.007 769.4 79.5 7.998 1160.8 3.561 789.2 81.5 8.001 1140.0 6.105 810.0 83.5 8.007 1119.3 9.592 830.7 85.5 7.999 1098.85 4.75 851.15 87.5 7.997 1075.9 5.329 874.1 89.5 7.996 1049.65 4.451 900.35 91.5 8.001 1014.8 0.801 935.2 94.5 8.003 988.3 6.417 961.7 96.5 7.997 960.45 3.308 989.55 98.5 8.003 933.75 7.079 1016.25 100.5 8.003 903.85 5.735 1046.15 102.5 8.001 875.2 12.583 1074.8 104.5 7.994 846.5 10.993 1103.5 106.5 7.992 816.95 7.316 1133.05 108.5 7.998 788.3 7.517 1161.7 110.5 7.998 758.35 10.438 1191.65 112.5 7.995 727.15 8.754 1222.85 114.5 8.0 697.85 7.247 1252.15 116.5 7.996 668.65 11.561 1281.35 118.5 7.996 640.15 10.589 1309.85 120.5 7.995 612.65 4.036 1337.35 122.5 8.023 584.45 5.613 1365.55 124.5 8.004 557.7 3.712 1392.3 126.5 7.999 510.7 17.91 1439.3 129.5 8.029 493.7 6.137 1456.3 130.5 7.991 442.15 11.487 1507.85 133.5 8.023 410.0 8.027 1540.0 135.5 8.017 373.85 9.288 1576.15 137.5 8.0 339.85 10.198 1610.15 139.5 8.036 321.8 12.503 1628.2 140.5 7.997 264.5 4.137 1685.5 143.5 8.019 229.7 8.759 1720.3 145.5 7.997 191.5 2.615 1758.5 147.5 8.04 152.65 25.599 1797.35 149.5 8.012 78.05 13.075 1871.95 153.5 8.085 41.9 18.636 1908.1 155.5 8.027 5.4 11.275 1944.6 157.5 8.131 -31.55 16.299 1981.55 159.5 8.022 -49.85 1.324 1999.85 160.5 8.004 -107.4 5.589 2057.4 163.5 7.995 -144.15 5.059 2094.15 165.5 8.005 -177.15 3.444 2127.15 167.5 8.003 -213.3 8.997 2163.3 169.5 8.042 -229.3 12.028 2179.3 170.5 8.045 -258.35 8.595 2208.35 172.5 8.003 -306.4 10.973 2256.4 175.5 8.0 -334.6 1.826 2284.6 177.5 8.009 -360.6 3.926 2310.6 179.5 8.054 -374.05 14.88 2324.05 180.5 8.013 -413.45 24.386 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