# 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/LittlePondRoyalston.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/LittlePondRoyalston.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: https://www.ncdc.noaa.gov/paleo/study/23072 # 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. #------------------ # Funding_Agency # Funding_Agency_Name: US National Science Foundation # Grant: DEB-0816731, DEB-0815036 #------------------ # Site_Information # Site_Name: Little Pond Royalston (LPR) # Location: North America>United States Of America>Massachusetts # Country: United States Of America> # Northernmost_Latitude: 42.675 # Southernmost_Latitude: 42.675 # Easternmost_Longitude: -72.192 # Westernmost_Longitude: -72.192 # Elevation: 302 m #------------------ # Data_Collection # Collection_Name: LittlePondRoyalston.Marsicek.2013 # Earliest_Year: 11000.0 # Most_Recent_Year: 0.0 # Time_Unit: 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 ##year Year AD, ,,AD, , lake sediment, ,,N, # ## 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 1115.255952 1900 50 1101.827381 1850 100 1055.178572 1800 150 1067.035714 1750 200 1055.118099 1700 250 1047.33057 1650 300 1039.543041 1600 350 1031.755512 1550 400 1024.893548 1500 450 1039.791429 1450 500 1054.689311 1400 550 1069.587193 1350 600 1084.485075 1300 650 1075.490736 1250 700 1061.308505 1200 750 1047.126275 1150 800 1035.213985 1100 850 1035.672754 1050 900 1036.131524 1000 950 1036.433717 950 1000 1033.0847 900 1050 1029.735683 850 1100 1026.386665 800 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