# 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-13bb.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: ML1208-13BB, Line Islands # Location: Central Equatorial Pacific # Country: # Northernmost_Latitude: -0.22 # Southernmost_Latitude: -0.22 # Easternmost_Longitude: -155.96 # Westernmost_Longitude: -155.96 # Elevation: -3049 #--------------------------------------- # Data_Collection # Collection_Name: ML1208-13BB Prod Costa17 # First_Year: 24625 # Last_Year: 3340 # 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 14MC 0 3340 0.089 0.002 14MC 2 4056 0.092 0.003 14MC 4 4771 0.095 0.003 14MC 6 5487 0.091 0.003 14MC 8 6202 0.092 0.003 14MC 10 7053 0.092 0.003 13BB 10 6128 0.085 0.003 13BB 11 6602 0.086 0.002 13BB 12 7076 0.079 0.002 13BB 13 7550 0.085 0.002 13BB 14 8024 0.078 0.002 13BB 15 8499 0.082 0.002 13BB 16 8973 0.079 0.002 13BB 17 9447 0.082 0.002 13BB 18 9921 0.083 0.002 13BB 19 10395 0.083 0.002 13BB 20 10789 0.085 0.002 13BB 21 11104 0.082 0.002 13BB 22 11419 0.081 0.002 13BB 23 11733 0.089 0.002 13BB 24 12048 0.080 0.002 13BB 25 12362 0.079 0.002 13BB 26 12677 0.085 0.002 13BB 27 12992 0.087 0.002 13BB 28 13492 0.082 0.003 13BB 29 14177 0.083 0.002 13BB 30 14862 0.081 0.002 13BB 31 15548 0.080 0.002 13BB 32 16233 0.080 0.002 13BB 33 16918 0.080 0.002 13BB 34 17450 0.079 0.003 13BB 37 18583 0.077 0.002 13BB 39 19338 0.078 0.005 13BB 42 20471 0.076 0.002 13BB 45 21604 0.073 0.002 13BB 47 22360 0.079 0.002 13BB 50 23493 0.077 0.002 13BB 52 24248 0.080 0.003 13BB 52 24248 0.083 0.006 13BB 53 24626 0.078 0.002