# 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-20bb.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: ML1208-20BB, Line Islands # Location: Central Equatorial Pacific # Country: # Northernmost_Latitude: 1.27 # Southernmost_Latitude: 1.27 # Easternmost_Longitude: -157.26 # Westernmost_Longitude: -157.26 # Elevation: -2850 #--------------------------------------- # Data_Collection # Collection_Name: ML1208-20BB Prod Costa2017 # First_Year: 25458 # Last_Year: 1945 # 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 21MC 0 1945 0.082 0.003 21MC 2 2305 0.086 0.002 21MC 4 2665 0.085 0.002 21MC 6 3025 0.083 0.002 21MC 8 3385 0.078 0.003 20BB 6 5569 0.080 0.002 20BB 7 5925 0.080 0.002 20BB 8 6280 0.080 0.002 20BB 9 6635 0.079 0.002 20BB 10 6990 0.086 0.002 20BB 11 7345 0.079 0.002 20BB 12 7701 0.080 0.002 20BB 13 8056 0.076 0.002 20BB 14 8411 0.074 0.002 20BB 15 8766 0.078 0.002 20BB 17 9477 0.073 0.002 20BB 20 10542 0.077 0.002 20BB 23 11608 0.073 0.002 20BB 24 11963 0.078 0.002 20BB 25 12318 0.074 0.002 20BB 26 12673 0.074 0.002 20BB 27 13009 0.075 0.002 20BB 28 13324 0.078 0.002 20BB 29 13639 0.079 0.002 20BB 30 13954 0.073 0.002 20BB 31 14269 0.076 0.002 20BB 32 14584 0.074 0.002 20BB 33 14899 0.076 0.002 20BB 34 15252 0.073 0.002 20BB 35 15643 0.077 0.002 20BB 36 16034 0.070 0.002 20BB 37 16425 0.079 0.002 20BB 38 16816 0.069 0.001 20BB 39 17207 0.075 0.002 20BB 40 17573 0.075 0.002 20BB 41 17916 0.074 0.002 20BB 42 18259 0.067 0.002 20BB 43 18602 0.067 0.002 20BB 44 18945 0.065 0.002 20BB 45 19287 0.066 0.002 20BB 46 19630 0.067 0.002 20BB 47 19973 0.071 0.002 20BB 48 20316 0.065 0.002 20BB 49 20659 0.071 0.002 20BB 50 21001 0.068 0.005 20BB 51 21344 0.067 0.002 20BB 55 22715 0.072 0.005 20BB 59 24087 0.074 0.003 20BB 63 25458 0.071 0.003