# 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-28bb.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: ML1208-28BB, Line Islands # Location: Central Equatorial Pacific # Country: # Northernmost_Latitude: 2.97 # Southernmost_Latitude: 2.97 # Easternmost_Longitude: -159.2 # Westernmost_Longitude: -159.2 # Elevation: -3152 #--------------------------------------- # Data_Collection # Collection_Name: ML1208-28BB Prod Costa2017 # First_Year: 28925 # Last_Year: 4298 # 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 29MC 0 4298 0.068 0.002 29MC 2 4478 0.069 0.002 29MC 4 4658 0.071 0.002 29MC 6 4838 0.069 0.002 29MC 8 5018 0.069 0.002 28BB 8 6441 0.069 0.002 28BB 10 6779 0.070 0.002 28BB 11 6948 0.070 0.002 28BB 12 7117 0.069 0.002 28BB 13 7286 0.065 0.002 28BB 14 7455 0.067 0.002 28BB 15 7624 0.067 0.002 28BB 16 7794 0.063 0.002 28BB 18 8132 0.064 0.002 28BB 20 8470 0.067 0.002 28BB 21 8639 0.062 0.001 28BB 22 8808 0.067 0.002 28BB 23 8977 0.066 0.002 28BB 24 9200 0.066 0.002 28BB 25 9476 0.064 0.002 28BB 26 9753 0.065 0.002 28BB 27 10029 0.063 0.002 28BB 28 10305 0.064 0.002 28BB 29 10581 0.063 0.002 28BB 30 10857 0.059 0.001 28BB 31 11134 0.064 0.002 28BB 32 11410 0.064 0.002 28BB 33 11686 0.062 0.002 28BB 34 11989 0.064 0.002 28BB 35 12320 0.061 0.002 28BB 36 12651 0.063 0.002 28BB 37 12982 0.062 0.002 28BB 38 13313 0.064 0.002 28BB 39 13644 0.068 0.002 28BB 40 13974 0.067 0.002 28BB 41 14305 0.065 0.002 28BB 42 14636 0.067 0.002 28BB 43 14967 0.067 0.002 28BB 44 15298 0.066 0.002 28BB 45 15629 0.066 0.002 28BB 46 16029 0.065 0.002 28BB 47 16498 0.064 0.002 28BB 48 16968 0.062 0.002 28BB 49 17437 0.063 0.002 28BB 50 17907 0.066 0.002 28BB 51 18376 0.060 0.001 28BB 52 18846 0.063 0.002 28BB 53 19315 0.066 0.002 28BB 54 19766 0.064 0.003 28BB 58 21490 0.067 0.002 28BB 62 23214 0.068 0.002 28BB 65 24507 0.064 0.002 28BB 68 25800 0.067 0.002 28BB 75 28710 0.066 0.002 28BB 76 28925 0.068 0.006