# Arctic vegetation, temperature, and hydrology during Early Eocene transient global warming events #----------------------------------------------------------------------- # World Data Service for Paleoclimatology, Boulder # and # NOAA Paleoclimatology Program #----------------------------------------------------------------------- # Template Version 3.0 # Encoding: UTF-8 # NOTE: Please cite original publication, online resource and date accessed when using this data. # If there is no publication information, please cite Investigator, title, online resource and date accessed. # # Description/Documentation lines begin with # # Data lines have no # # # Online_Resource: https://www.ncdc.noaa.gov/paleo/study/26590 # Description: NOAA Landing Page # Online_Resource: http://www1.ncdc.noaa.gov/pub/data/paleo/contributions_by_author/willard2019/willard2019-taxa-climate.txt # Description: NOAA location of the template # # Data_Type: paleoceanography # # Dataset_DOI: 10.25921/bbyg-0837 # # Parameter_Keywords: population abundance, reconstruction #--------------------------------------- # Contribution_Date # Date: 2019-04-09 #--------------------------------------- # File_Last_Modified_Date # Date: 2019-04-09 #--------------------------------------- # Title # Study_Name: Arctic vegetation, temperature, and hydrology during Early Eocene transient global warming events #--------------------------------------- # Investigators # Investigators: Willard, D.A.; Donders, T.H.; Reichgelt, T.; Greenwood, D.r.; Sangiorgi, F.; Peterse, F.; Nierop, K.G.J.; Frieling, J.; Schouten, S.; Sluijs, A. #--------------------------------------- # Description_Notes_and_Keywords # Description: Pollen, palynofacies, lipid biomarker, and bioclimatic record from late Paleocene and early Eocene hyperthermals preserved in ocean sediments on Lomonosov Ridge, Arctic Ocean (IODP Site 302-4A, Arctic Coring Expedition (ACEX)). This study focused on latest Paleocene through early Eocene sediments from 365-395 mcd in the core. All pollen counts represent results of analyses by DAW. Presence of taxa outside of the count are represented by "P", which includes data from counts undertaken by THD. Samples from 388.42 - 388.02 mcd and 381.51 - 380.31 mcd were affected by drilling disturbancs, and these samples were not included in statistical analyses or bioclimatic estimates. #--------------------------------------- # Publication # Authors: Willard, D.A., Donders, T.H., Reichgelt, T., Greenwood, D.r., Sangiorgi, F., Peterse, F., Nierop, K.G.J., Frieling, J., Schouten, S., Sluijs, A. # Published_Date_or_Year: 2019 # Published_Title: # Journal_Name: # Volume: # Edition: # Issue: # Pages: # Report_Number: # DOI: # Online_Resource: # Full_Citation: # Abstract: #--------------------------------------- # Funding_Agency # Funding_Agency_Name: # Grant: #--------------------------------------- # Site_Information # Site_Name: IODP 302 # Location: Arctic Ocean # Country: # Northernmost_Latitude: 87.8667 # Southernmost_Latitude: 87.8667 # Easternmost_Longitude: 136.1773 # Westernmost_Longitude: 136.1773 # Elevation: -1288 #--------------------------------------- # Data_Collection # Collection_Name: IODP302-4A taxa-climate Willard2019 # First_Year: # Last_Year: # Time_Unit: # Core_Length: 428 # Notes: #--------------------------------------- # Chronology_Information # Chronology: #--------------------------------------- # Variables # Data variables follow that are preceded by "##" in columns one and two. # Variables list, one per line, shortname-tab-longname components (9 components: what, material, error, units, seasonality, archive, detail, method, C or N for Character or Numeric data) ## taxon taxon,,,,,pollen,,,C, ## MAT temperature,,,degree Celsius,annual,climate reconstruction; pollen,,,N, ## MAT_sd temperature,,one standard deviation,degree Celsius,annual,climate reconstruction; pollen,,,N, ## SumT temperature,,,degree Celsius,Jun-Aug,climate reconstruction; pollen,,,N, ## SumT_sd temperature,,one standard deviation,degree Celsius,Jun-Aug,climate reconstruction; pollen,,,N, ## WinT temperature,,,degree Celsius,Dec-Feb,climate reconstruction; pollen,,,N, ## WinT_sd temperature,,one standard deviation,degree Celsius,Dec-Feb,climate reconstruction; pollen,,,N, ## AP precipitation,,,millimeter,annual,climate reconstruction; pollen,log-transformed,,N, ## AP_sd precipitation,,one standard deviation,millimeter,annual,climate reconstruction; pollen,log-transformed,,N, ## SumP precipitation,,,millimeter,Jun-Aug,climate reconstruction; pollen,log-transformed,,N, ## SumP_sd precipitation,,one standard deviation,millimeter,Jun-Aug,climate reconstruction; pollen,log-transformed,,N, ## WinP precipitation,,,millimeter,Dec-Feb,climate reconstruction; pollen,log-transformed,,N, ## WinP_sd precipitation,,one standard deviation,millimeter,Dec-Feb,climate reconstruction; pollen,log-transformed,,N, #------------------------ # Data: # Data lines follow (have no #) # Data line format - tab-delimited text, variable short name as header # Missing_Values: NA taxon MAT MAT_sd SumT SumT_sd WinT WinT_sd AP AP_sd SumP SumP_sd WinP WinP_sd Abies 8.228950216 2.84831324 15.90625 2.50685046 0.62305195 4.15570873 2.93864692 0.14177219 2.32907497 0.24725984 2.28456789 0.24908291 Acer 9.029105505 2.49938081 16.597156 2.43115837 1.52502294 3.56909191 2.91367581 0.1346768 2.31871819 0.2117715 2.27831907 0.17422901 Alnus 8.37970673 2.57816908 15.6735533 2.0907645 1.26721655 3.6826329 2.90454465 0.11919686 2.31469442 0.13886852 2.28358155 0.16623693 Anemia 21.02615955 3.03427684 23.5203154 2.80086621 18.142115 3.73081822 3.17145431 0.14129663 2.62676864 0.16350158 2.23593074 0.39805818 Arecoideae/Trachycarpeae 22.29631847 4.48325977 25.0593535 3.46341358 19.1845555 5.96208236 3.17308019 0.24061553 2.53334493 0.4160384 2.18299002 0.68167607 Asteraceae 11.2197507 5.41614774 19.2524579 4.87976499 3.15135183 6.95928671 2.87034055 0.22135507 2.18441415 0.43871228 2.24426046 0.267471 Betula 6.988742369 2.86950048 15.7284493 2.31395776 -1.6596581 4.40636934 2.87277003 0.11188842 2.33200454 0.0947276 2.20985162 0.15066974 Bombacaceae 26.51993243 1.86648452 28.6123311 2.05855073 24.164527 2.29055113 3.14707127 2.67722438 2.45176085 0.29355514 1.60419235 0.94565193 Carya 12.9255611 4.41666716 22.9361596 3.01486773 2.1201995 6.59305547 3.00447196 0.14124224 2.43870444 0.18076431 2.26751548 0.27900485 Castanea 10.44530358 1.74050313 17.3230669 2.11824593 3.61089777 2.06801192 2.90801619 0.09881137 2.27187146 0.16308268 2.30937924 0.13151906 Casuarina 18.18157579 2.53066426 23.9183521 2.29682615 11.9963968 3.26169525 2.7754601 0.2971382 2.23784395 0.38009252 2.04834855 0.3182932 Celtis 19.65992908 5.80124177 24.6158308 3.57501041 14.3296099 8.64863324 3.01656996 0.23833557 2.42977748 0.40448548 1.98735332 0.6049504 Corylus 8.781745472 1.92327071 16.0341331 1.77231237 1.6606916 2.702991 2.90366275 0.11508325 2.3128531 0.11583729 2.28729623 0.16165511 Cyperaceae 9.316534122 5.33180348 16.9552987 4.01830039 1.76667283 7.0141896 2.8911499 0.15965339 2.3128761 0.20727446 2.22688571 0.23501429 Engelhardia 19.35263158 2.82229463 23.0833333 2.82247355 14.8254386 3.28708417 3.43119868 0.13379623 3.05043169 0.21126482 2.31801552 0.32726178 Ericaceae 8.710633001 4.7003775 16.258926 3.76915257 1.33613087 6.30307037 2.93236874 0.17764094 2.30423459 0.26708862 2.3047808 0.24406184 Fraxinus 9.219443755 2.02302123 16.1476782 2.1619724 2.47405016 2.8050323 2.90509336 0.11912928 2.28711128 0.16524022 2.30404704 0.15925933 Gentianaceae 10.01069839 5.86698944 17.1604245 4.65613292 2.99628552 7.51550346 2.89915219 0.177695 2.27037351 0.26287381 2.2578995 0.24914693 Gleichenia 16.89824561 6.04076897 19.8649123 4.99304843 13.5964912 7.04153405 3.2777759 0.17655809 2.6139895 0.41790884 2.58004069 0.31623221 Ilex 17.31670487 5.71844491 22.4101719 4.3375294 11.7606304 8.73626754 3.19747483 0.20458008 2.67099199 0.29490196 2.25700089 0.49675547 Liliaceae 8.598363874 4.14266299 17.1977585 3.40121022 0.23646924 5.71277068 2.86589525 0.1732462 2.13063159 0.49544309 2.25421672 0.24675718 Lycopodium 6.308440421 4.20176912 14.6036507 3.09982188 -1.8367699 6.20663488 2.9476775 0.20387683 2.40857491 0.17192684 2.28014201 0.25303747 Morus 16.02902967 4.38445462 23.5931034 3.50966113 7.93015237 7.14705466 3.13372018 0.21287251 2.65987904 0.27380291 2.19953501 0.38168215 Myrica 6.963318617 2.49173965 15.2915931 1.82960052 -1.057248 3.7521096 2.89696462 0.1339759 2.3401553 0.11439073 2.24576431 0.16790993 Myriophyllum 8.641676329 4.54687125 16.2398542 3.39853083 1.20800066 6.23826112 2.88063128 0.15742231 2.2956976 0.18105582 2.23610817 0.24985966 Nymphaea 10.36774017 5.89025688 17.1704694 4.26936547 3.64383188 7.63230022 2.92192526 0.15327637 2.34493717 0.17080019 2.21072187 0.37034292 Nyssa 14.10748441 4.38859627 23.6629938 3.07081738 3.84906445 6.14050793 3.10361042 0.09199011 2.55158819 0.14139 2.38618798 0.19607619 Onagraceae 8.125339905 4.85702555 16.3076988 3.73941571 0.15506458 6.63201199 2.85831133 0.16847201 2.25197049 0.28420706 2.21160573 0.2260223 Osmundaceae 10.64026537 3.42622457 17.0231248 3.30851708 4.17457352 4.78446787 3.05942053 0.23141769 2.4406874 0.26516929 2.43184155 0.27775182 Carpinus+Ostrya 9.424017072 1.91035378 17.0666451 1.75570721 1.63310916 2.64371487 2.88556536 0.10956416 2.3452647 0.13571543 2.23257048 0.12791746 Picea 6.272168131 2.8378113 14.8205414 1.93101903 -2.0237948 4.29497457 2.87676455 0.12608753 2.33893319 0.10164241 2.21167067 0.18940288 Plantago 9.323925028 3.69135931 16.7157033 3.02177157 2.11513624 4.91864557 2.87000773 0.1414933 2.25754432 0.22118008 2.23943915 0.18840989 Platanus 13.4942317 3.74891264 21.6003393 3.08713655 5.33048958 5.7409116 2.86858621 0.19186615 2.03606675 0.57664346 2.26169277 0.25044423 Platycarya 16.09257426 3.11898285 23.9049505 3.84297191 7.6019802 3.90284958 3.19927219 0.1476642 2.81008059 0.14414715 2.13288646 0.3443413 Poaceae 10.88502752 5.51342342 18.53 4.66352651 3.26278899 6.94905845 2.87810301 0.19257799 2.23659797 0.35777067 2.23899538 0.25160429 Pterocarya 14.08421053 4.28067225 23.0412281 3.58162987 4.61491228 5.24114075 3.13618142 0.14871913 2.70760369 0.22549043 2.09505482 0.36169643 Quercus 11.22924872 3.17663188 18.6721371 3.48500076 4.16333576 3.54748195 2.84766362 0.12856021 2.07654135 0.37647173 2.26371149 0.16706221 Sagittaria 10.05962812 4.47725949 17.7830616 3.36545067 2.23614366 6.16507032 2.88119973 0.14050509 2.31943928 0.22245993 2.20706718 0.20396326 Salix 7.783692074 3.5469756 15.1646493 2.93799073 0.63935173 4.71571519 2.89963659 0.12980729 2.29919 0.17908445 2.28209138 0.17613084 Sciadopitys 11.23913043 2.37577531 21.7565217 2.26371097 0.72608696 2.83920882 3.25966158 0.10763289 2.81211341 0.12594275 2.37151079 0.14700699 Selaginella 9.578251071 8.67117374 16.0758621 6.42367102 3.29377958 11.2030737 3.02347076 0.24609759 2.39117996 0.37818326 2.3306223 0.36661459 Sparganium 7.478742453 2.55677309 15.420279 1.5887637 -0.1790964 4.19875086 2.86402591 0.11808064 2.3035096 0.08937639 2.22290202 0.16805758 Sphagnum 6.125917365 3.55463408 13.6670615 2.10025356 -1.0160069 5.85812447 2.95869057 0.16374826 2.36517289 0.10952438 2.3475316 0.2361927 Symplocos 17.98067955 4.48567936 22.1995336 4.27852286 13.2545636 6.48578489 3.24841787 0.17992919 2.77735571 0.21847377 2.292893 0.3818421 Taxodiaceae 15.09551821 4.54506296 21.359944 5.18655266 8.58648459 5.14971027 3.0670568 0.200703 2.24763884 0.63118489 2.31351539 0.43060161 Tilia 7.684378077 2.56845401 16.2011815 1.86636821 -0.6273548 3.84364037 2.86207573 0.1152382 2.31476202 0.10835182 2.20364319 0.1561916 Trachycarpeae/Phoenix 21.42795304 4.98808305 25.7220103 3.35634901 16.8301174 6.60610997 2.98846452 0.24889481 2.26409315 0.54656839 1.82801563 0.70585547 Tsuga 8.327248536 3.70942909 17.8633316 3.70871692 -1.6670037 5.60757391 3.0872148 0.16552042 2.44230053 0.3118537 2.38807876 0.35440783 Ulmus 8.90940131 2.50681253 16.0163237 2.45826753 1.97254443 3.18451435 2.8967937 0.12523024 2.28945416 0.16117086 2.28863806 0.16282763