# Northern Queensland 15 Year Kauri Tree-Ring Oxygen Isotope Data #----------------------------------------------------------------------- # World Data Center for Paleoclimatology, Boulder # and # NOAA Paleoclimatology Program #----------------------------------------------------------------------- # 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: http://ncdc.noaa.gov/paleo/study/17267 # # Original_Source_URL: ftp://ftp.ncdc.noaa.gov/pub/data/paleo/treering/isotope/australia/queensland2014tr-iso.txt # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2014-10-01 #-------------------- # Title # Study_Name: Northern Queensland 15 Year Kauri Tree-Ring Oxygen Isotope Data #-------------------- # Investigators # Investigators: Boysen, B.M.M.; Evans, M.N.; Baker, P.J. #-------------------- # Description_Notes_and_Keywords # Description: Tree-ring oxygen isotope data from Agathis robusta (Queensland Kauri) samples collected # in Dinden National Park, Queensland, Australia, for 1995-2010 AD. Data are measured for the southern # hemisphere November-April growing season. Also included are datafile BEB14.dat and a matlab script # to plot the data as in Fig 2(a) of Boysen et al. 2014. In the datafile BEB14.dat, data are identifed # by the year growth began, i.e. 1995 data correspond to the growing season Nov 1995 - Apr 1996. # # To develop a composite, annually resolved, calendar-dated oxygen isotope time series, we used the tropical # isotope dendroclimatology hypothesis to assign January/February calendar age to isotopic minima within each # dendrochronologically dated growth increment, assuming that each minimum in the isotope chronology represents # the climatologically average wettest month of the November-April rainy season in northern Queensland. # For each data series, we then linearly interpolated each 4–8 point set of intra-seasonal d18O values # to produce a uniform four d18O interpolates within each November-April growing season. # This permitted us to composite data across the three sample series on a common intraseasonal time scale. # # Keywords: El Nino-Southern Oscillation, Isotopes, Meteorology, Oxygen, Paleobotany, Paleoclimatology, Paleoenvironments, Trees #-------------------- # Publication # Authors: Bjorn M. M. Boysen, Michael N. Evans, Patrick J. Baker # Published_Date_or_Year: 2014-07-25 # Published_Title: d18O in the Tropical Conifer Agathis robusta Records ENSO-Related Precipitation Variations # Journal_Name: PLOS One # Volume: 9 # Edition: e102336 # Issue: 7 # Pages: # DOI: 10.1371/journal.pone.0102336 # Online_Resource: http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0102336 # Full_Citation: # Abstract: Long-lived trees from tropical Australasia are a potential source of information about internal variability of the El Nino-Southern Oscillation (ENSO), because they occur in a region where precipitation variability is closely associated with ENSO activity. We measured tree-ring width and oxygen isotopic composition (d18O) of alpha-cellulose from Agathis robusta (Queensland Kauri) samples collected in the Atherton Tablelands, Queensland, Australia. Standard ring-width chronologies yielded low internal consistency due to the frequent presence of false ring-like anatomical features. However, in a detailed examination of the most recent 15 years of growth (1995-2010), we found significant correlation between d18O and local precipitation, the latter associated with ENSO activity. The results are consistent with process-based forward modeling of the oxygen isotopic composition of alpha-cellulose. The d18O record also enabled us to confirm the presence of a false growth ring in one of the three samples in the composite record, and to determine that it occurred as a consequence of anomalously low rainfall in the middle of the 2004/5 rainy season. The combination of incremental growth and isotopic measures may be a powerful approach to development of long-term (150+ year) ENSO reconstructions from the terrestrial tropics of Australasia. #------------------ # Funding_Agency # Funding_Agency_Name: US National Science Foundation (NSF) # Grant: AGS0902794, EAR0929983 #------------------ # Funding_Agency # Funding_Agency_Name: Australian Research Council (ARC) # Grant: DP0878744 #------------------ # Site_Information # Site_Name: Dinden National Park # Location: Australia/New Zealand>Australia # Country: Australia # Northernmost_Latitude: -16.9794 # Southernmost_Latitude: -16.9794 # Easternmost_Longitude: 145.6032 # Westernmost_Longitude: 145.6032 # Elevation: 700m #------------------ # Data_Collection # Collection_Name: Boysen2014TRiso # Earliest_Year: 1995 # Most_Recent_Year: 2010 # Time_Unit: AD # Core_Length: # Notes: #------------------ # Chronology: # # Because of the complex nature of anatomical features in the samples, careful visual microscopic examination # of the materials was used to check age assignment features. The program COFECHA was used to probabilistically # identify dating errors and biases arising from missing and false rings. Following standard practice in dendrochronology, # if dating uncertainties for individual series in the sample could not be rectified, those samples were excluded # from the site average. # # # #---------------- # Variables # # Data variables follow are preceded by "##" in columns one and two. # Data line variables format: Variables list, one per line, shortname-tab-longname-tab-longname components (9 components: what, material, error, units, seasonality, archive, detail, method, C or N for Character or Numeric data) # # ##year year, , years CE, Nov-Mar, tree, , dendrochronology, C ##d18O_ac delta18O, alpha cellulose, +/-0.3 permil, Nov-Mar, tree, columns 2-13 correspond to 4 interpolated values for each of 3 sampled trees, , N ##d18O_sim delta18O, simulated alpha cellulose, -1/+0.6 permil, Nov-Mar, tree, column 14 is the median of 1000 simulations for each year, , N #---------------- # Data: # Data lines follow (have no #) # Data line format - tab-delimited text, variable short name as header # Missing Values: NaN # Nov-Mar_year d18O_ac d18O_ac d18O_ac d18O_ac d18O_ac d18O_ac d18O_ac d18O_ac d18O_ac d18O_ac d18O_ac d18O_ac d18O_sim Nov 1995-Apr 1996 NaN 29.55 29.18 31.09 30.95 30.61 30.30 33.27 32.01 30.94 29.97 31.12 30.18 Nov 1996-Apr 1997 29.96 NaN NaN 30.43 32.05 31.04 29.70 30.24 33.11 31.18 30.01 30.57 30.25 Nov 1997-Apr 1998 30.89 30.66 29.64 NaN 31.12 29.78 29.77 30.93 31.15 29.87 30.02 32.17 29.90 Nov 1998-Apr 1999 31.23 29.54 28.28 29.00 30.26 29.21 29.20 31.05 30.71 29.96 29.31 30.96 29.38 Nov 1999-Apr 2000 31.10 30.11 27.56 29.28 30.35 29.19 28.46 29.61 30.62 29.56 27.97 29.50 29.21 Nov 2000-Apr 2001 30.90 30.38 30.05 30.77 30.48 29.20 27.96 30.04 31.19 30.13 28.78 29.31 29.87 Nov 2001-Apr 2002 31.69 31.30 30.54 30.39 29.74 28.34 27.58 29.89 31.19 30.58 29.67 31.02 31.13 Nov 2002-Apr 2003 31.43 30.77 29.66 31.10 29.97 29.08 29.22 29.89 31.47 30.31 30.87 30.98 30.95 Nov 2003-Apr 2004 31.29 29.43 29.25 29.19 31.93 30.89 29.84 29.83 32.41 30.93 29.60 31.37 29.44 Nov 2004-Apr 2005 32.01 29.84 27.57 29.46 32.45 30.37 29.25 30.92 31.46 30.13 28.66 30.81 30.60 Nov 2005-Apr 2006 30.58 27.11 29.58 31.27 32.44 30.89 28.96 31.66 32.10 29.61 27.34 30.87 29.98 Nov 2006-Apr 2007 29.98 28.50 31.88 32.05 29.70 29.33 31.45 32.26 30.55 30.07 30.38 31.75 30.55 Nov 2007-Apr 2008 31.11 29.65 26.60 28.59 30.48 29.29 29.36 29.70 29.61 29.14 27.39 29.75 29.69 Nov 2008-Apr 2009 29.80 29.10 29.35 30.10 30.99 30.26 29.40 29.50 31.10 30.33 29.25 29.36 29.54 Nov 2009-Apr 2010 30.13 30.19 29.62 29.74 30.97 30.76 31.00 30.82 30.56 30.43 29.64 29.78 NaN