# 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-rib09_3.txt # Data_Download_Description: NOAA Template File; RIB09_3 Trace Metals Data # # Original_Source_URL: https://data.mendeley.com/datasets/ww8mvgzymf/2 # Original_Source_Description: Data supplement at Mendeley where a partial 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: Rib Reef # Location: Australia # Northernmost_Latitude: -18.48 # Southernmost_Latitude: -18.48 # Easternmost_Longitude: 146.87 # Westernmost_Longitude: 146.87 # Elevation_m: -6.4 #--------------------------------------- # Data_Collection # Collection_Name: RIB09_3 Trace Metals DOlivo2018 # First_Year: 1996 # Last_Year: 2008 # Time_Unit: year Common Era # Core_Length_m: # Parameter_Keywords: trace metals # Notes: Porites mayeri #--------------------------------------- # 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 mayeri,,year Common Era,,corals and sclerosponges,,,N, ## Mg/Ca Magnesium/Calcium,Porites mayeri,,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 mayeri,,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 mayeri,,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 mayeri,,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 mayeri,,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 mayeri,,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 ## Ba/Ca Barium/Calcium,Porites mayeri,,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 ## B/Mg Boron/Magnesium,Porites mayeri,,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 #------------------------ # 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 Ba/Ca B/Mg Oct-96 4.703205959 8.983077 1.082949 1.471308 528.429243 6.91986583 4.021234985 112.491 Dec-96 4.876746571 8.898358 1.036934 1.368146 493.8237 6.67210312 3.858642054 101.4069 Feb-97 5.011559885 8.860797 1.004237 1.270547 463.076462 6.36742181 3.95234055 92.43616 Apr-97 4.855074285 8.943858 1.040216 1.366693 496.015024 6.63539499 4.369548339 102.2921 Jun-97 4.612112126 9.07754 1.105922 1.526222 548.355792 7.03910915 4.486267368 119.2215 Aug-97 4.51663039 9.076641 1.104046 1.581139 537.114969 7.14142012 3.843467252 119.0662 Oct-97 4.53683238 9.033747 1.085441 1.510544 508.011907 6.853084 3.356631729 112.2851 Dec-97 4.889456687 8.878641 1.00145 1.307939 456.294466 6.39511163 4.335164646 93.4273 Feb-98 4.941080357 8.783396 0.978097 1.233963 435.273511 6.09711114 3.635826936 88.09615 Apr-98 4.931882134 8.864672 0.995671 1.295677 451.28624 6.39012601 3.494720488 91.62227 Jun-98 4.704209745 8.961892 1.050195 1.425123 479.867025 6.70407815 3.345582564 102.1664 Aug-98 4.587920806 9.025808 1.079042 1.499329 496.701133 6.87880435 3.2711177 108.2998 Oct-98 4.688621094 8.958701 1.048163 1.438321 482.835906 6.74374226 3.544548435 103.1543 Dec-98 4.974196487 8.861986 0.992746 1.293392 454.662232 6.43358533 3.558595342 91.50477 Feb-99 5.040166227 8.831839 0.974374 1.217458 438.724076 6.1361922 3.772691224 87.04526 Apr-99 4.913347808 8.887755 1.002901 1.288507 446.157086 6.33088071 3.514330991 90.91719 Jun-99 4.590398946 9.017197 1.073088 1.48542 491.348821 6.81866946 3.320704806 107.2485 Aug-99 4.432311707 9.045345 1.118519 1.580219 527.687468 7.00402166 3.342813648 119.119 Oct-99 4.583175054 8.981234 1.080972 1.497967 527.143735 6.8654436 3.200264439 115.3001 Dec-99 4.850375835 8.839996 1.00816 1.329515 470.818152 6.44864671 3.073491628 97.15264 Feb-00 4.847595921 8.818671 0.993115 1.305694 453.544977 6.32947712 3.234162661 93.56398 Apr-00 4.719191244 8.889406 1.030791 1.400183 483.243216 6.60773312 3.339672282 102.6794 Jun-00 4.454240072 9.020293 1.096909 1.567747 524.452163 6.98312051 3.195403984 117.8852 Aug-00 4.342323098 9.05404 1.122249 1.615781 536.623979 7.01624393 3.243964572 123.7183 Oct-00 4.511995375 8.97207 1.083463 1.496962 503.279224 6.75428723 3.43064743 111.782 Dec-00 4.839083748 8.859305 1.006487 1.317946 457.045213 6.3776499 3.894263723 94.62728 Feb-01 4.929933663 8.816234 0.989414 1.258994 430.574603 6.20675577 3.623318286 87.3406 Apr-01 4.88809409 8.869769 1.002246 1.315814 464.593076 6.43182466 3.816670231 95.15658 Jun-01 4.616284406 9.003591 1.066596 1.473087 501.455802 6.80018883 3.498966248 108.7604 Aug-01 4.529464295 9.036018 1.087121 1.48834 485.281115 6.7413809 3.359430758 107.1746 Oct-01 4.683230074 8.97059 1.047712 1.381223 451.703405 6.46858476 3.601562042 96.72001 Dec-01 4.897101269 8.847853 0.988951 1.238231 414.840892 6.06374488 3.688752199 84.72758 Feb-02 4.933562842 8.797625 0.981673 1.191409 399.310924 5.87789215 3.196051421 80.94487 Apr-02 4.779971503 8.900082 1.020513 1.341001 462.854566 6.40994879 3.307968268 97.11951 Jun-02 4.518693912 9.03043 1.08532 1.516829 516.010281 6.85408392 3.071862554 114.2948 Aug-02 4.462384924 9.066499 1.110953 1.573123 528.275731 7.01988097 3.134535343 118.4641 Oct-02 4.565270074 9.003915 1.077443 1.489997 506.389545 6.80224082 3.195070405 111.0719 Dec-02 4.818728669 8.906952 1.011968 1.342784 468.801006 6.47051242 3.448247319 97.54599 Feb-03 4.98499126 8.841089 0.986926 1.246779 438.553659 6.21518379 3.376777059 87.98326 Apr-03 4.915815707 8.877203 0.996923 1.293891 453.440341 6.36052755 3.364303452 92.34258 Jun-03 4.599332759 9.011312 1.063466 1.470747 499.384237 6.76445433 2.937432486 108.8958 Aug-03 4.409714331 9.068524 1.10882 1.577384 527.527477 6.95581317 2.672404201 119.6637 Oct-03 4.555661042 9.000848 1.07463 1.487081 500.508461 6.77463525 2.746476735 110.1501 Dec-03 4.770521474 8.890826 1.020656 1.347952 468.343257 6.43043217 2.987901461 98.30202 Feb-04 4.89104463 8.816435 0.986691 1.264686 449.164763 6.18563442 2.980890087 91.86282 Apr-04 4.804455336 8.896587 1.033026 1.344244 455.525616 6.45836019 2.939716339 94.86659 Jun-04 4.61581666 9.014595 1.077863 1.482916 499.03306 6.84486774 2.840954678 108.459 Aug-04 4.316280966 9.075899 1.137136 1.609322 535.55877 6.94628578 2.65961976 124.1839 Oct-04 4.398412645 8.985592 1.101756 1.524759 517.129618 6.70651825 2.616598707 117.8553 Dec-04 4.730304955 8.886893 1.021937 1.351971 481.942401 6.39523449 2.920087412 102.0833 Feb-05 4.862623501 8.847952 1.000867 1.281474 449.030694 6.23132544 3.216762678 92.37279 Apr-05 4.855122187 8.901314 1.014832 1.319642 457.201923 6.4070232 3.422201723 94.25716 Jun-05 4.569181226 9.007829 1.077856 1.489702 499.954027 6.80671978 3.226101499 109.694 Aug-05 4.313867968 9.093721 1.132627 1.61291 537.061927 6.95788161 3.239663853 124.67 Oct-05 4.558636445 8.960954 1.060145 1.433858 495.100469 6.5364369 3.374421389 109.0241 Dec-05 4.871631685 8.803343 0.989366 1.266467 445.870613 6.16976055 3.557992756 91.63496 Feb-06 4.942208134 8.796374 0.975123 1.253328 439.247736 6.19420626 3.382556421 88.88752 Apr-06 4.84509952 8.884715 1.003603 1.353754 473.765945 6.55907443 3.25050191 97.94082 Jun-06 4.52365624 9.047989 1.093646 1.560441 522.559871 7.05889752 3.231564029 115.7691 Aug-06 4.444972643 9.104665 1.118967 1.605069 532.615867 7.13448901 3.262109368 119.8787 Oct-06 4.579273144 9.024172 1.077129 1.492525 502.988687 6.83467893 3.381585052 109.9756 Dec-06 4.791135368 8.912355 1.010676 1.344743 466.241863 6.44284434 3.430447763 97.49536 Feb-07 4.844482656 8.866863 0.993648 1.292236 446.93598 6.26021682 3.274247794 92.25352 Apr-07 4.728804662 8.924223 1.026284 1.344459 453.790556 6.35768616 3.329556787 96.05973 Jun-07 4.49667396 9.052962 1.085219 1.500631 494.376549 6.74785058 3.404598766 110.1427 Aug-07 4.340042705 9.115989 1.11814 1.601849 535.083539 6.95209167 3.434035072 123.5185 Oct-07 4.588162744 8.991524 1.059255 1.454116 501.905216 6.67172186 3.782280086 109.7648 Dec-07 4.856480971 8.882954 0.997869 1.305259 457.803931 6.33896616 3.741372572 94.574 Feb-08 4.94903054 8.87126 0.977404 1.257588 436.713876 6.22384179 3.771332949 88.26101 Apr-08 4.796747668 8.966949 1.019719 1.342386 454.15363 6.43908852 4.075293143 94.84884 Jun-08 4.531575778 9.078049 1.089204 1.490194 494.755073 6.75292922 4.556488818 109.5241