# 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-36bb.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: ML1208-36BB, Line Islands # Location: Central Equatorial Pacific # Country: # Northernmost_Latitude: 6.83 # Southernmost_Latitude: 6.83 # Easternmost_Longitude: -161.04 # Westernmost_Longitude: -161.04 # Elevation: -2859 #--------------------------------------- # Data_Collection # Collection_Name: ML1208-36BB Prod Costa2017 # First_Year: 24440 # Last_Year: 4964 # 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 39MC 0 4964 0.043 0.002 39MC 2 5280 0.044 0.002 39MC 4 5595 0.047 0.002 39MC 6 5911 0.045 0.002 39MC 8 6226 0.042 0.002 36BB 5 8617 0.047 0.001 36BB 6 9094 0.041 0.001 36BB 7 9571 0.042 0.001 36BB 8 10048 0.044 0.001 36BB 9 10525 0.044 0.001 36BB 10 11002 0.040 0.001 36BB 11 11479 0.042 0.001 36BB 12 11956 0.042 0.001 36BB 13 12433 0.042 0.001 36BB 14 12910 0.040 0.001 36BB 15 13543 0.049 0.002 36BB 16 14334 0.050 0.002 36BB 17 15124 0.052 0.001 36BB 18 15915 0.051 0.001 36BB 19 16590 0.052 0.003 36BB 20 17151 0.053 0.001 36BB 21 17712 0.047 0.001 36BB 22 18272 0.055 0.002 36BB 23 18833 0.055 0.002 36BB 24 19394 0.050 0.002 36BB 25 19954 0.046 0.001 36BB 27 21076 0.052 0.002 36BB 29 22197 0.051 0.002 36BB 31 23318 0.055 0.002 36BB 33 24440 0.051 0.002