# Central Equatorial Pacific Paleoproductivity Data over the last 27ka #----------------------------------------------------------------------- # World Data Service for Paleoclimatology, Boulder # and # NOAA Paleoclimatology Program #----------------------------------------------------------------------- # 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/22150 # Online_Resource: http://www1.ncdc.noaa.gov/pub/data/paleo/contributions_by_author/costa2017-gbc/costa2017-gbc-31bb.txt # # Archive: Paleoceanography # # Parameter_Keywords: geochemistry, radiogenic isotopes #--------------------------------------- # Contribution_Date # Date: 2017-05-26 #--------------------------------------- # Title # Study_Name: Central Equatorial Pacific Paleoproductivity Data over the last 27ka #--------------------------------------- # Investigators # Investigators: Costa, Kassandra #--------------------------------------- # Description and Notes # Description: Cores are either Multi-core (MC) or big bertha gravity core (BB). #--------------------------------------- # Publication # Authors: Costa, K.M., A.W. Jacobel, J.F. McManus, R.F. Anderson, G. Winckler, and N. Thiagarajan # Published_Date_or_Year: 2017 # Published_Title: Productivity patterns in the equatorial Pacific over the last 30,000 years # Journal_Name: Global Biogeochemical Cycles # Volume: 31 # Edition: # Issue: # Pages: # Report Number: # DOI: 10.1002/2016GB005579 # Online_Resource: # Full_Citation: # Abstract: The equatorial Pacific traverses a number of productivity regimes, from the highly productive coastal upwelling along Peru to the near gyre-like productivity lows along the international dateline, making it an ideal target for investigating how biogeochemical systems respond to changing oceanographic conditions over time. However, conflicting reconstructions of productivity during periods of rapid climate change, like the last deglaciation, render the spatiotemporal response of equatorial Pacific productivity ambiguous. In this study, surface productivity since the last glacial period (30,000 years ago) is reconstructed from seven cores near the Line Islands, central equatorial Pacific, and integrated with productivity records from across the equatorial Pacific. Three coherent deglacial patterns in productivity are identified: (1) a monotonic glacial-Holocene increase in productivity, primarily along the Equator, associated with increasing nutrient concentrations over time; (2) a deglacial peak in productivity ~15,000 years ago due to transient entrainment of nutrient rich southern-sourced deep waters; and (3) possible precessional cycles in productivity in the eastern equatorial Pacific that may be related to Intertropical Convergence Zone migration and potential interactions with El Niño–Southern Oscillation dynamics. These findings suggest that productivity was generally lower during the glacial period, a trend observed zonally across the equatorial Pacific, while deglacial peaks in productivity may be prominent only in the east. #--------------------------------------- # Funding_Agency # Funding_Agency_Name: National Science Foundation # Grant: AGS-15-02889, OCE-10-60947 #--------------------------------------- # Site Information # Site_Name: ML1208-31BB, Line Islands # Location: Central Equatorial Pacific # Country: # Northernmost_Latitude: 4.68 # Southernmost_Latitude: 4.68 # Easternmost_Longitude: -160.05 # Westernmost_Longitude: -160.05 # Elevation: -2857 #--------------------------------------- # Data_Collection # Collection_Name: ML1208-31BB Prod Costa2017 # First_Year: 28839 # Last_Year: 7142 # Time_Unit: cal yr BP # Core_Length: # 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) ## Core core name,,,,,,,,C, ## depth_cm depth,,,cm,,,,,N, ## age_calyrBP Age of the sediment,,,cal yr BP,,,,,N, ## 231Pa/230Th 231Pa/230Th,,,activity ratio,,,excess initial,,N, ## 231Pa/230Th_2s_err 231Pa/230Th,,two standard deviations,activity ratio,,,,,N, #------------------------ # Data # Data lines follow (have no #) # Data line format - tab-delimited text, variable short name as header # Missing Value: NaN Core depth_cm age_calyrBP 231Pa/230Th 231Pa/230Th_2s_err 31BB 13 7142 0.047 0.001 31BB 14 7249 0.046 0.001 31BB 15 7373 0.043 0.001 31BB 16 7548 0.042 0.001 31BB 17 7782 0.044 0.001 31BB 18 7999 0.042 0.001 31BB 19 8204 0.045 0.001 31BB 20 8403 0.043 0.001 31BB 21 8598 0.044 0.001 31BB 22 8794 0.041 0.001 31BB 23 8986 0.036 0.001 31BB 24 9176 0.045 0.001 31BB 25 9364 0.044 0.001 31BB 27 9734 0.037 0.001 31BB 28 9922 0.044 0.001 31BB 29 10108 0.038 0.001 31BB 30 10293 0.044 0.001 31BB 31 10480 0.044 0.001 31BB 32 10665 0.043 0.001 31BB 33 10850 0.046 0.001 31BB 34 11035 0.041 0.001 31BB 35 11223 0.039 0.001 31BB 36 11412 0.040 0.001 31BB 37 11602 0.047 0.001 31BB 38 11792 0.039 0.001 31BB 39 11987 0.042 0.001 31BB 40 12184 0.043 0.001 31BB 41 12384 0.046 0.001 31BB 42 12589 0.040 0.001 31BB 43 12803 0.043 0.001 31BB 44 13047 0.043 0.001 31BB 45 13287 0.041 0.001 31BB 46 13503 0.042 0.002 31BB 47 13706 0.047 0.001 31BB 48 13899 0.046 0.001 31BB 49 14089 0.048 0.001 31BB 50 14277 0.047 0.001 31BB 51 14462 0.045 0.001 31BB 52 14644 0.046 0.001 31BB 53 14824 0.045 0.001 31BB 54 15004 0.045 0.002 31BB 55 15182 0.049 0.003 31BB 56 15359 0.048 0.001 31BB 57 15536 0.051 0.001 31BB 58 15714 0.045 0.002 31BB 59 15891 0.052 0.001 31BB 60 16068 0.048 0.001 31BB 61 16247 0.046 0.002 31BB 62 16426 0.043 0.001 31BB 63 16605 0.055 0.002 31BB 64 16782 0.050 0.002 31BB 65 16959 0.048 0.001 31BB 66 17137 0.039 0.001 31BB 67 17318 0.038 0.001 31BB 68 17500 0.051 0.001 31BB 69 17686 0.039 0.001 31BB 70 17872 0.038 0.001 31BB 71 18061 0.041 0.001 31BB 72 18256 0.043 0.001 31BB 73 18454 0.041 0.001 31BB 74 18663 0.035 0.001 31BB 75 18918 0.038 0.001 31BB 76 19637 0.038 0.001 31BB 77 20472 0.040 0.001 31BB 78 21295 0.039 0.001 31BB 80 22942 0.041 0.001 31BB 82 24579 0.041 0.001 31BB 84 26019 0.043 0.001 31BB 86 27425 0.044 0.001 31BB 88 28840 0.046 0.001