# Great Barrier Reef, Porites spp. bimonthly trace elements 1990-2013 CE #----------------------------------------------------------------------- # World Data Service for Paleoclimatology, Boulder # and # NOAA Paleoclimatology Program #----------------------------------------------------------------------- # Template Version 4.0 # Encoding: UTF-8 # NOTE: Please cite original publication, NOAA Landing Page URL, dataset and publication DOIs (where available), and date accessed when using downloaded data. # If there is no publication information, please cite investigator, study title, NOAA Landing Page URL, and date accessed. # # Description/Documentation lines begin with '#' followed by a space # Data lines have no '#' # # NOAA_Landing_Page: https://www.ncei.noaa.gov/access/paleo-search/study/34392 # Landing_Page_Description: NOAA Landing Page of this file's parent study, which includes all study metadata. # # Study_Level_JSON_Metadata: https://www.ncei.noaa.gov/pub/data/metadata/published/paleo/json/noaa-coral-34392.json # Study_Level_JSON_Description: JSON metadata of this data file's parent study, which includes all study metadata. # # Data_Type: Corals and Sclerosponges # # Dataset_DOI: # # Science_Keywords: #--------------------------------------- # Resource_Links # # Data_Download_Resource: https://www.ncei.noaa.gov/pub/data/paleo/coral/west_pacific/great_barrier/dolivo2018/dolivo2018-liz13_1.txt # Data_Download_Description: NOAA Template File; LIZ13_1 Trace Metals Data # # Original_Source_URL: https://data.mendeley.com/datasets/ww8mvgzymf/2 # Original_Source_Description: Data supplement at Mendeley where a copy of the data was obtained. #--------------------------------------- # Contribution_Date # Date: 2024-02-09 #--------------------------------------- # File_Last_Modified_Date # Date: 2024-02-09 #--------------------------------------- # Title # Study_Name: Great Barrier Reef, Porites spp. bimonthly trace elements 1990-2013 CE #--------------------------------------- # Investigators # Investigators: D'Olivo, Juan Pablo (https://orcid.org/0000-0002-3291-7484); Sinclair, Daniel J.; Rankenburg, Kai (https://orcid.org/0000-0003-3708-9304); McCulloch, Malcolm Thomas (https://orcid.org/0000-0003-1538-1558) #--------------------------------------- # Description_Notes_and_Keywords # Description: Contributed as part of the Great Barrier Reef Coral Skeletal Records Database (GBRCD). # Provided Keywords: Great Barrier Reef, Trace elements, Coral, Multiproxy calibration #--------------------------------------- # Publication # Authors: D'Olivo, J.P., Sinclair, D.J., Rankenburg, K. and McCulloch, M.T. # Published_Date_or_Year: 2018 # Published_Title: A universal multi-trace element calibration for reconstructing sea surface temperatures from long-lived Porites corals: Removing 'vital-effects' # Journal_Name: Geochimica et Cosmochimica Acta # Volume: 239 # Edition: # Issue: # Pages: 109-135 # Report_Number: # DOI: 10.1016/j.gca.2018.07.035 # Online_Resource: # Full_Citation: # Abstract: Trace element abundances in corals can potentially provide high-resolution seasonally resolved constraints on past sea-surface temperatures, much needed to improve our understanding of climate variability on interannual to centennial time scales. A major limitation to the general application of trace element (TE) paleo-thermometers to coral fossil records is the presence of ‘vital effects’, which result in the need for colony-specific temperature calibrations. Here we demonstrate that reliable proxy temperatures from massive Porites corals can be achieved by using a universal multi-trace element calibration scheme (UMTECS). Using modern massive Porites corals living in well characterized sea surface temperature (SST) environments we first confirm that Sr/Ca and Li/Mg ratios are the most robust SST proxies compared to other trace element ratios (Mg/Ca, U/Ca, B/Ca and Li/Ca). Importantly we find that the slopes (and intercepts) of the Sr/Ca vs SST relationship are linearly correlated with the slopes from the Li/Mg vs SST relationship and provide a simple mathematical explanation for this phenomenon based on the tendency for all coral data to cluster around a single common ‘centroid’. Based on this tight empirical correlation between Sr/Ca and Li/Mg thermometers we show that a ‘universal’ calibration strategy can be applied that largely circumvents ‘vital effects’. Using this approach, we show that accurate more reliable reconstructions of paleo-temperatures can be undertaken using fossil Porites corals without the need for a priori colony-specific temperature calibrations. The general viability of this approach is demonstrated using an independent set of coral data where we show that UMTECS outperforms other ‘aggregating’ calibration techniques. For P. lutea and P. lobata the scheme produces temperature estimates with root-mean-square errors (RMSE) that are only 0.3 °C larger than those using colony-specific calibrations. This compares with ‘averaged TE-SST calibrations’ which produce RMSEs between 0.4 and 0.6 °C larger than colony-specific calibrations for P. lutea and P. lobata. However, we note that the success of our approach diminishes where data for individual corals deviate markedly from the common centroid, which appear to be related to species differences. #--------------------------------------- # Funding_Agency # Funding_Agency_Name: Australian Research Council # Grant: Laureate Fellowship FL120100049 #--------------------------------------- # Funding_Agency # Funding_Agency_Name: Consejo Nacional de Ciencia y Tecnología (CONACyT) # Grant: 238264 #--------------------------------------- # Site_Information # Site_Name: Lizard Island # Location: Australia # Northernmost_Latitude: -14.69 # Southernmost_Latitude: -14.69 # Easternmost_Longitude: 145.44 # Westernmost_Longitude: 145.44 # Elevation_m: -3 #--------------------------------------- # Data_Collection # Collection_Name: LIZ13_1 Trace Metals DOlivo2018 # First_Year: 2003 # Last_Year: 2013 # Time_Unit: year Common Era # Core_Length_m: # Parameter_Keywords: trace metals # Notes: Porites australiensis #--------------------------------------- # Chronology_Information # Chronology: #--------------------------------------- # Variables # PaST_Thesaurus_Download_Resource: https://www.ncei.noaa.gov/access/paleo-search/skos/past-thesaurus.rdf # PaST_Thesaurus_Download_Description: Paleoenvironmental Standard Terms (PaST) Thesaurus terms, definitions, and relationships in SKOS format. # # Data variables follow that are preceded by "##" in columns one and two. # Variables list, one per line, shortname-tab-var components: what, material, error, units, seasonality, data type, detail, method, C or N for Character or Numeric data) # ## age_CE age,Porites australiensis,,year Common Era,,corals and sclerosponges,,,N, ## Mg/Ca Magnesium/Calcium,Porites australiensis,,millimole per mole,,corals and sclerosponges,interpolated,inductively-coupled plasma mass spectrometry,N,Bimonthly interpolation. Thermo Fisher Scientific X Series II quadrupole inductively coupled plasma mass spectrometer ## Sr/Ca Strontium/Calcium,Porites australiensis,,millimole per mole,,corals and sclerosponges,interpolated,inductively-coupled plasma mass spectrometry,N,Bimonthly interpolation. Thermo Fisher Scientific X Series II quadrupole inductively coupled plasma mass spectrometer ## U/Ca Uranium/Calcium,Porites australiensis,,micromole per mole,,corals and sclerosponges,interpolated,inductively-coupled plasma mass spectrometry,N,Bimonthly interpolation. Thermo Fisher Scientific X Series II quadrupole inductively coupled plasma mass spectrometer ## Li/Mg Lithium/Magnesium,Porites australiensis,,millimole per mole,,corals and sclerosponges,interpolated,inductively-coupled plasma mass spectrometry,N,Bimonthly interpolation. Thermo Fisher Scientific X Series II quadrupole inductively coupled plasma mass spectrometer ## B/Ca Boron/Calcium,Porites australiensis,,micromole per mole,,corals and sclerosponges,interpolated,inductively-coupled plasma mass spectrometry,N,Bimonthly interpolation. Thermo Fisher Scientific X Series II quadrupole inductively coupled plasma mass spectrometer ## Li/Ca Lithium/Calcium,Porites australiensis,,micromole per mole,,corals and sclerosponges,interpolated,inductively-coupled plasma mass spectrometry,N,Bimonthly interpolation. Thermo Fisher Scientific X Series II quadrupole inductively coupled plasma mass spectrometer #------------------------ # Data: # Data lines follow (have no #) # Data line format - tab-delimited text, variable short name as header # Missing_Values: NA age_CE Mg/Ca Sr/Ca U/Ca Li/Mg B/Ca Li/Ca Jun-03 3.521241858 9.256246 1.267399 1.714813 486.023962 6.03827 Aug-03 3.41631847 9.275756 1.350923 1.744722 495.937032 5.9605249 Oct-03 3.616101951 9.167909 1.286029 1.599388 463.082091 5.7835487 Dec-03 3.937812975 9.031772 1.194765 1.427426 421.240908 5.62093672 Feb-04 4.014562707 8.983377 1.167815 1.375226 406.898932 5.52093099 Apr-04 3.894355068 9.056056 1.204909 1.466783 434.938823 5.71217566 Jun-04 3.608509884 9.212444 1.305118 1.661951 479.252192 5.99716518 Aug-04 3.465431945 9.253183 1.343334 1.740303 497.699257 6.03090162 Oct-04 3.599245337 9.16017 1.282933 1.622026 471.504346 5.83807099 Dec-04 3.864525922 9.05401 1.203068 1.459193 429.968152 5.63908781 Feb-05 3.983755816 9.016852 1.169277 1.405369 419.594665 5.59864513 Apr-05 3.885640858 9.057073 1.202568 1.469273 433.835247 5.70906709 Jun-05 3.597406014 9.190926 1.292938 1.642292 466.036349 5.90799186 Aug-05 3.550654907 9.202158 1.297117 1.685159 490.869049 5.98341789 Oct-05 3.735005429 9.118185 1.254392 1.579679 466.87609 5.90010994 Dec-05 4.03673981 8.973316 1.177504 1.394504 411.650019 5.62925179 Feb-06 4.101633972 8.962935 1.139876 1.356907 411.392623 5.56553648 Apr-06 3.918087967 9.028044 1.187148 1.438583 428.087688 5.63649465 Jun-06 3.682943306 9.129131 1.251319 1.574346 466.909254 5.79822881 Aug-06 3.644984772 9.184772 1.274097 1.670492 506.943217 6.08891845 Oct-06 3.7066183 9.149758 1.256092 1.638814 498.578604 6.07445965 Dec-06 3.958200361 9.030428 1.177124 1.465276 450.574888 5.79985465 Feb-07 4.118513039 8.984532 1.136149 1.356388 414.869031 5.5863028 Apr-07 3.94896785 9.05355 1.194104 1.462535 440.291991 5.77550259 Jun-07 3.715025488 9.169201 1.24924 1.626145 483.936272 6.04117121 Aug-07 3.582093615 9.18376 1.274381 1.672806 502.409012 5.9921491 Oct-07 3.744470851 9.098835 1.227412 1.550503 476.66053 5.80581495 Dec-07 3.989968952 9.012547 1.168137 1.421905 438.204501 5.67335879 Feb-08 4.060650399 9.004764 1.167886 1.398291 422.615925 5.67796973 Apr-08 3.890139277 9.090078 1.21028 1.509887 456.078848 5.87366996 Jun-08 3.630842558 9.218355 1.286604 1.686103 495.681509 6.12197324 Aug-08 3.554534499 9.239001 1.297574 1.702154 496.888324 6.05036385 Oct-08 3.771295282 9.09457 1.227233 1.529689 465.664373 5.76890812 Dec-08 4.168369774 8.970585 1.136882 1.346971 414.071486 5.61467164 Feb-09 4.191157468 8.957457 1.117436 1.328736 408.77172 5.56894037 Apr-09 3.964374257 9.035717 1.178782 1.464426 442.451838 5.80553323 Jun-09 3.854339948 9.117915 1.22006 1.592966 480.341802 6.13983155 Aug-09 3.836597411 9.113925 1.223562 1.596653 484.953724 6.12571464 Oct-09 3.847673013 9.094048 1.224887 1.545954 465.30262 5.94832495 Dec-09 4.030946491 9.002281 1.162148 1.430134 437.559946 5.76479398 Feb-10 4.191488194 8.974705 1.114259 1.339526 419.084044 5.61460641 Apr-10 4.130908352 9.01381 1.128352 1.406019 446.235718 5.80813547 Jun-10 3.905745546 9.101923 1.204749 1.54588 479.716869 6.03781524 Aug-10 3.829621734 9.130075 1.211394 1.565905 484.141492 5.99682271 Oct-10 3.953794104 9.045576 1.190897 1.475787 458.471563 5.83495982 Dec-10 4.157850674 8.979385 1.155066 1.360762 423.417161 5.65784488 Feb-11 4.074920199 8.966822 1.1606 1.35798 412.610521 5.53365953 Apr-11 3.993392614 9.038876 1.166199 1.471001 449.886965 5.87428286 Jun-11 3.715850809 9.171428 1.236445 1.648417 509.947868 6.12527311 Aug-11 3.599007384 9.216142 1.263137 1.693287 529.952728 6.09415283 Oct-11 3.800046265 9.090462 1.19953 1.550352 489.788232 5.89140764 Dec-11 4.190663584 8.958899 1.107166 1.366177 440.451146 5.72518954 Feb-12 4.308088244 8.949726 1.087338 1.318432 426.906144 5.6799198 Apr-12 4.02987022 9.072276 1.138159 1.427911 435.667129 5.75429688 Jun-12 3.779783272 9.181918 1.212162 1.603716 484.401612 6.06169858 Aug-12 3.676947885 9.202007 1.247592 1.669278 517.505798 6.13784889 Oct-12 3.820407946 9.129024 1.209764 1.552477 491.367388 5.93109479 Dec-12 4.099504314 9.037103 1.13998 1.419729 460.588829 5.82018493 Feb-13 4.190838243 8.994771 1.10545 1.347366 443.252335 5.6465913 Apr-13 4.094987328 9.051502 1.137477 1.420834 472.195117 5.81829852 Jun-13 3.911066684 9.163137 1.19763 1.539961 515.131172 6.0228916 Aug-13 3.892263405 9.196536 1.156826 1.568956 532.726679 6.10679074 Oct-13 4.133081706 9.071837 1.081005 1.452243 511.52323 6.0022402