# Northeastern United States 11,000 Year Precipitation 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/23072 # Description: NOAA Landing Page # # Online_Resource: https://www1.ncdc.noaa.gov/pub/data/paleo/pages2k/NAm2kHydro-2017/noaa-templates/data-version-1.0.0/Rogers.Marsicek.2013.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/Rogers.Marsicek.2013.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: Climate Reconstruction # Parameter_Keywords: precipitation # Dataset_DOI: # #------------------ # Contribution_Date # Date: 2017-11-15 #------------------ # File_Last_Modified_Date # Modified_Date: 2017-11-15 #------------------ # Title # Study_Name: Northeastern United States 11,000 Year Precipitation Reconstructions #------------------ # Investigators # Investigators: Marsicek, J.P.; Shuman, B.; Brewer, S.; Foster, D.R.; Oswald, W.W. #------------------ # Description_Notes_and_Keywords # Description: Precipitation reconstructions for 5 locations in the northeastern United States over the Holocene. #------------------ # Publication # Authors: Jeremiah P. Marsicek, Bryan Shuman, Simon Brewer, David R. Foster, W. Wyatt Oswald # Published_Date_or_Year: 2013-11-15 # Published_Title: Moisture and temperature changes associated with the mid-Holocene Tsuga decline in the northeastern United States # Journal_Name: Quaternary Science Reviews # Volume: 80 # Edition: # Issue: # Pages: 129-142 # Report: # DOI: 10.1016/j.quascirev.2013.09.001 # Online_Resource: https://www.sciencedirect.com/science/article/pii/S0277379113003375 # Full_Citation: # Abstract: A decline of hemlock (Tsuga) populations at ca 5.5 ka (thousands of calibrated radiocarbon years before 1950 AD) stands out as the most abrupt vegetation change of the Holocene in North America, but remains poorly understood after decades of study. Recent analyses of fossil pollen have revealed a concurrent, abrupt oak (Quercus) decline and increases in the abundance of beech (Fagus) and pine (Pinus) on Cape Cod in eastern Massachusetts, but the replacement of drought-tolerant oaks by moisture-sensitive beeches appears inconsistent with low lake levels in the region at the same time. The oak and beech changes are also limited to coastal areas, and the coastal-inland differences require an explanation. Here, we develop a new lake-level reconstruction from Deep Pond, Cape Cod by using a transect of sediment cores and ground-penetrating radar (GPR) profiles to constrain the past elevations of the sandy, littoral zone of the pond. The reconstruction shows that a series of multi-century episodes of low water coincide with the abrupt hemlock and oak declines, and interrupt subsequent phases of hemlock recovery. The lake-level variations equal precipitation deficits of ~100 mm superimposed on a Holocene long moisture increase of >400 mm. However, because moisture deficits do not easily explain the oak and beech changes, we also evaluate how the climate preferences of the regional vegetation changed over time by matching the fossil pollen assemblages from Deep Pond with their modern equivalents. Reconstructions of the precipitation requirements of the vegetation correlate well even in detail with the lake-level record (r = 0.88 at Deep Pond), and indicate close tracking of effective moisture (precipitation minus evapotranspiration) by the vegetation despite the abrupt species declines, which could have decoupled climate and vegetation trends. Reconstructions of the temperature preferences of the vegetation indicate that coastal sites may have cooled by 0.5-2.5C after ca 5.5 ka, while inland sites warmed by 0.5-1C. The change in coastal temperature preferences agrees with sea surface cooling in the western Atlantic Ocean of >1C. Consequently, the persistence of low hemlock abundance after 5.5 ka in the northeast U.S. may have resulted from oceanic changes that produced multi-century droughts and thus delayed the post-decline recovery of hemlock populations. #------------------ # Publication # Authors: Margaret B. Davis # Published_Date_or_Year: 1969-05-01 # Published_Title: Climatic changes in southern Connecticut recorded by pollen deposition at Rogers Lake # Journal_Name: Ecology # Volume: 50 # Edition: # Issue: 3 # Pages: 409-422 # Report: # DOI: 10.2307/1933891 # Online_Resource: http://onlinelibrary.wiley.com/doi/10.2307/1933891/full # Full_Citation: # Abstract: Rates of deposition of pollen grains throughout late- and postglacial time were determined from the pollen concentration in radiocarbon-dated sediment. Changes by a factor of 5 or more for all except rate pollen types from one level to the next were considered significant indication of changes in the pollen input to the lake, reflecting changes in the pollen productivity of the surrounding vegetation. Low pollen deposition rates in the oldest sediments reflect the prevalence of tundra vegetation between 14,000 and 12,000 years ago. An increase in the rate for tree pollen occurred 12,000 years ago, when boreal woodland became established. The rates continued to increase until a sudden sharp rise for white pine, hemlock, poplar, oak, and maple pollen 9,000 years ago marked the establishment of forest, similar perhaps to modern forests of the northern Great Lakes region. Pine pollen rates decline 8,000 years ago, and deciduous tree pollen became dominant. Ragweed pollen was deposited at relatively high rates 8,000 years ago, reflecting changes in the vegetation associated with the "prairie period" recorded in the Great Lakes region at this time. Subsequent changes in pollen deposition rates reflect the immigration of beech (6,500 years B.P.), hickory (5,500 years B.P.), and chestnut (2,000 B.P.) to southern Connecticut. During the past few hundred years pollen deposition rates reflect changes in the vegetation caused by disturbance by European settlers. Throughout much of postglacial time the pollen assemblages deposited at Rogers Lake are different from assemblages known from modern sediment. This makes climatic interpretation difficult and suggest that the forest associations of the region as they are recognized now are of quite recent origin. #------------------ # Funding_Agency # Funding_Agency_Name: US National Science Foundation # Grant: DEB-0816731, DEB-0815036 #------------------ # Site_Information # Site_Name: Rogers Lake # Location: North America>United States Of America>Connecticut # Country: United States Of America # Northernmost_Latitude: 41.21 # Southernmost_Latitude: 41.21 # Easternmost_Longitude: -72.17 # Westernmost_Longitude: -72.17 # Elevation: 12 m #------------------ # Data_Collection # Collection_Name: Rogers.Marsicek.2013 # Earliest_Year: 11000.0 # Most_Recent_Year: 0.0 # 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, ## precip Precipitation, ,,mm/yr, annual, climate reconstruction, ,,N, # #------------------ # Data: # Data lines follow (have no #) # Data line format - tab-delimited text, variable short name as header) # Missing_Values: nan # age_CE age_calBP precip 1950 0 1104.857 1900 50 1141.782 1850 100 1151.129 1800 150 1153.438 1750 200 1188.714 1700 250 1167.935 1650 300 1151.26 1600 350 1176.715 1550 400 1202.17 1500 450 1227.625 1450 500 1225.831 1400 550 1209.27 1350 600 1192.71 1300 650 1176.149 1250 700 1169.979 1200 750 1164.184 1150 800 1158.39 1100 850 1160.375 1050 900 1179.168 1000 950 1197.961 950 1000 1216.755 900 1050 1214.818 850 1100 1202.564 800 1150 1190.31 750 1200 1178.056 700 1250 1165.802 650 1300 1148.945 600 1350 1118.036 550 1400 1106.308 500 1450 1127.201 450 1500 1148.094 400 1550 1168.988 350 1600 1189.881 300 1650 1210.774 250 1700 1220.812 200 1750 1209.085 150 1800 1197.358 100 1850 1185.631 50 1900 1173.904 0 1950 1162.177 -50 2000 1150.45 -100 2050 1138.723 -150 2100 1149.741 -200 2150 1164.302 -250 2200 1178.862 -300 2250 1162.688 -350 2300 1134.312 -400 2350 1105.936 -450 2400 1077.56 -500 2450 1049.184 -550 2500 1058.419 -600 2550 1073.391 -650 2600 1088.362 -700 2650 1103.334 -750 2700 1116.973 -800 2750 1114.781 -850 2800 1112.59 -900 2850 1110.398 -950 2900 1108.207 -1000 2950 1106.015 -1050 3000 1103.824 -1100 3050 1101.632 -1150 3100 1099.441 -1200 3150 1097.249 -1250 3200 1095.058 -1300 3250 1092.866 -1350 3300 1099.416 -1400 3350 1106.616 -1450 3400 1113.816 -1500 3450 1121.017 -1550 3500 1128.217 -1600 3550 1102.309 -1650 3600 1072.361 -1700 3650 1042.413 -1750 3700 1027.71 -1800 3750 1029.803 -1850 3800 1031.897 -1900 3850 1033.99 -1950 3900 1036.083 -2000 3950 1038.176 -2050 4000 1041.515 -2100 4050 1044.923 -2150 4100 1048.331 -2200 4150 1051.739 -2250 4200 1055.147 -2300 4250 1058.554 -2350 4300 1061.962 -2400 4350 1065.818 -2450 4400 1070.846 -2500 4450 1075.874 -2550 4500 1080.902 -2600 4550 1085.93 -2650 4600 1090.959 -2700 4650 1095.987 -2750 4700 1087.363 -2800 4750 1078.703 -2850 4800 1070.043 -2900 4850 1067.299 -2950 4900 1066.732 -3000 4950 1066.165 -3050 5000 1065.597 -3100 5050 1065.03 -3150 5100 1064.462 -3200 5150 1063.895 -3250 5200 1063.328 -3300 5250 1084.937 -3350 5300 1117.254 -3400 5350 1149.57 -3450 5400 1181.887 -3500 5450 1182.628 -3550 5500 1155.632 -3600 5550 1128.635 -3650 5600 1101.76 -3700 5650 1117.873 -3750 5700 1133.986 -3800 5750 1150.099 -3850 5800 1166.212 -3900 5850 1182.325 -3950 5900 1198.438 -4000 5950 1204.879 -4050 6000 1171.081 -4100 6050 1137.283 -4150 6100 1103.484 -4200 6150 1084.878 -4250 6200 1072.199 -4300 6250 1066.719 -4350 6300 1079.233 -4400 6350 1091.747 -4450 6400 1084.608 -4500 6450 1067.35 -4550 6500 1050.092 -4600 6550 1053.574 -4650 6600 1101.973 -4700 6650 1145.139 -4750 6700 1174.517 -4800 6750 1149.517 -4850 6800 1124.517 -4900 6850 1099.517 -4950 6900 1074.518 -5000 6950 1049.518 -5050 7000 1040.21 -5100 7050 1033.97 -5150 7100 1032.479 -5200 7150 1033.953 -5250 7200 1037.315 -5300 7250 1048.571 -5350 7300 1059.828 -5400 7350 1071.085 -5450 7400 1076.773 -5500 7450 1074.276 -5550 7500 1064.226 -5600 7550 1054.177 -5650 7600 1050.673 -5700 7650 1078.113 -5750 7700 1063.143 -5800 7750 1063.143 -5850 7800 1063.143 -5900 7850 1099.556 -5950 7900 1093.923 -6000 7950 1088.291 -6050 8000 1082.658 -6100 8050 1077.026 -6150 8100 1071.393 -6200 8150 1065.761 -6250 8200 1069.598 -6300 8250 1081.658 -6350 8300 1093.719 -6400 8350 1091.621 -6450 8400 1088.445 -6500 8450 1085.27 -6550 8500 1082.095 -6600 8550 1078.92 -6650 8600 1075.744 -6700 8650 1072.569 -6750 8700 1069.394 -6800 8750 1066.218 -6850 8800 1063.043 -6900 8850 1059.868 -6950 8900 1056.693 -7000 8950 1053.517 -7050 9000 1050.342 -7100 9050 1047.167 -7150 9100 1037.419 -7200 9150 1027.307 -7250 9200 1017.196 -7300 9250 1007.084 -7350 9300 996.972 -7400 9350 986.86 -7450 9400 976.748 -7500 9450 966.636 -7550 9500 956.524 -7600 9550 951.644 -7650 9600 961.979 -7700 9650 972.313 -7750 9700 966.349 -7800 9750 943.5 -7850 9800 920.651 -7900 9850 923.226 -7950 9900 942.134 -8000 9950 940.974 -8050 10000 936.438 -8100 10050 930.636 -8150 10100 894.884 -8200 10150 877.782 -8250 10200 839.849 -8300 10250 824.116 -8350 10300 822.514 -8400 10350 820.913 -8450 10400 819.312 -8500 10450 817.723 -8550 10500 821.121 -8600 10550 824.52 -8650 10600 827.918 -8700 10650 827.236 -8750 10700 812.031 -8800 10750 796.826 -8850 10800 781.621 -8900 10850 776.566 -8950 10900 779.046 -9000 10950 781.525 -9050 11000 784.005