# Lake Malawi 1.3MYr Geochemical Data and Principal Components Analysis #----------------------------------------------------------------------- # World Data Service for Paleoclimatology, Boulder # and # NOAA Paleoclimatology Program # National Centers for Environmental Information (NCEI) #----------------------------------------------------------------------- # 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/19424 # Online_Resource: http://www1.ncdc.noaa.gov/pub/data/paleo/paleolimnology/eastafrica/malawi2015pca.txt # # Archive: Paleolimnology # # Parameter_Keywords: geochemistry, carbon isotopes, physical properties #--------------------------------------- # Contribution_Date # Date: 2015-12-07 #--------------------------------------- # Title # Study_Name: Lake Malawi 1.3MYr Geochemical Data and Principal Components Analysis #--------------------------------------- # Investigators # Investigators: Lyons, R.P.; Scholz, C.A.; Cohen, A.S.; King, J.W.; Brown, E.T.; Ivory, S.J.; Johnson, T.C.; Deino, A.L.; Reinthal, P.N.; McGlue, M.M.; Blome, M.W. #--------------------------------------- # Description and Notes # Description: Continuous geochemical data and principal components analysis for sediments collectd in Lake Malawi, East Africa, for the past 1.3 million years. # PCA was performed on total organic carbon (TOC), d13C of organic matter, saturated bulk density, carbonate abundance, and lightness of color (L*). # Provided Keywords: Tropical paleoclimate #--------------------------------------- # Publication # Authors: Robert P. Lyons, Christopher A. Scholz, Andrew S. Cohen, John W. King, Erik T. Brown, Sarah J. Ivory, Thomas C. Johnson, Alan L. Deino, Peter N. Reinthal, Michael M. McGlue, and Margaret W. Blome # Published_Date_or_Year: 2015-12-07 # Published_Title: Continuous 1.3-million-year record of East African hydroclimate, and implications for patterns of evolution and biodiversity # Journal_Name: Proceedings of the National Academy of Sciences # Volume: # Issue: # Pages: # Report Number: # DOI: 10.1073/pnas.1512864112 # Online_Resource: http://www.pnas.org/content/early/2015/12/01/1512864112.abstract # Full_Citation: # Abstract: The transport of moisture in the tropics is a critical process for the global energy budget and on geologic timescales, has markedly influenced continental landscapes, migratory pathways, and biological evolution. Here we present a continuous, first-of-its-kind 1.3-My record of continental hydroclimate and lake-level variability derived from drill core data from Lake Malawi, East Africa (9-15S). Over the Quaternary, we observe dramatic shifts in effective moisture, resulting in large-scale changes in one of the world's largest lakes and most diverse freshwater ecosystems. Results show evidence for 24 lake level drops of more than 200 m during the Late Quaternary, including 15 lowstands when water levels were more than 400 m lower than modern. A dramatic shift is observed at the Mid-Pleistocene Transition (MPT), consistent with far-field climate forcing, which separates vastly different hydroclimate regimes before and after ~800,000 years ago. Before 800 ka, lake levels were lower, indicating a climate drier than today, and water levels changed frequently. Following the MPT high-amplitude lake level variations dominate the record. From 800 to 100 ka, a deep, often overfilled lake occupied the basin, indicating a wetter climate, but these highstands were interrupted by prolonged intervals of extreme drought. Periods of high lake level are observed during times of high eccentricity. The extreme hydroclimate variability exerted a profound influence on the Lake Malawi endemic cichlid fish species flock; the geographically extensive habitat reconfiguration provided novel ecological opportunities, enabling new populations to differentiate rapidly to distinct species. #--------------------------------------- # Funding_Agency # Funding_Agency_Name: US National Science Foundation # Grant: EAR 0602453 #--------------------------------------- # Site Information # Site_Name: GLAD7-MAL05-1 # Location: Africa>Eastern Africa>Malawi # Country: Malawi # Northernmost_Latitude: -11.29389 # Southernmost_Latitude: -11.29389 # Easternmost_Longitude: 34.43722 # Westernmost_Longitude: 34.43722 # Elevation: 500 m #--------------------------------------- # Data_Collection # Collection_Name: Malawi2015PCA # First_Year: 1275686 # Last_Year: 10694 # Time_Unit: cal yr BP # Core_Length: 379 # Notes: #--------------------------------------- # Chronology: # # Sample Depth Method Age Error # GLAD7-MAL05-1B-54E 167.84 Ar-Ar 590 20 # GLAD7-MAL05-1B-83E-3 241.63 Ar-Ar 915 6 # GLAD7-MAL05-1B-55E-1 167.5 Excursion ~575 NaN Lund 15a # GLAD7-MAL05-1B-57E-1 172 Excursion 605 NaN Lund 15B # GLAD7-MAL05-1B-64E-2 190 Excursion 665 NaN Lund 17a # GLAD7-MAL05-1B-77E-1 222 Reversal 790 NaN Lund Brunhes-Matuyama # GLAD7-MAL05-1B-87E-1 247 Excursion 932 NaN Lund Santa Rosa # GLAD7-MAL05-1B-96E-2 271.5 Reversal 987 NaN Lund Upper Jaramillo # GLAD7-MAL05-1B-104E-2 290 Reversal 1010 NaN Lund Lower Jaramillo # GLAD7-MAL05-1B-113E-2 313 Excursion 1120 NaN Lund Punaruu # GLAD7-MAL05-1B-126E-2 342 Reversal 1190 NaN Lund Cobb Mountain # GLAD7-MAL05-1B-128E-2 347 Reversal 1220 NaN Lund Cobb Mountain # #--------------------------------------- # 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) # ## depth_m depth, , , m, , , Principal Component Analysis composite depth, ,N ## age_calBP age, , , calendar years before present, , , , ,N ## pc1 principal component 1, , , , ,paleolimnology, , ,N # #------------------------ # Data # Data lines follow (have no #) # Data line format - tab-delimited text, variable short name as header # Missing Value: # depth_m age_calBP pc1 6.51 10693.99534 -9.5149 6.667 11040.3094 -1.4229 6.827 11396.87596 -1.3356 6.987 11757.06618 -1.0688 7.141 12107.12867 -0.8502 7.301 12474.29641 -1.3104 7.393 12686.99987 -1.7295 7.552 13057.29945 -2.3109 7.712 13433.33213 -1.9169 7.872 13812.7337 -1.7352 8.032 14195.45809 -1.3172 8.192 14581.45925 -1.1593 8.352 14970.69111 -1.6151 8.512 15363.1076 -1.7324 8.672 15758.66269 -1.528 8.832 16157.31029 -2.298 8.96 16478.42403 -3.257 9.119 16879.98724 -2.3827 9.279 17287.03048 -2.1761 9.439 17696.99151 -1.5332 9.599 18109.82425 -1.7282 9.759 18525.48265 -1.6786 9.919 18943.92066 -1.5844 10.079 19365.0922 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1.1655 162.72 562761.229 0.654 162.756 562894.2136 0.1579 162.985 563740.1437 0.9904 163.222 564615.626 1.5056 163.458 565487.4142 1.6493 163.491 565609.3168 0.5644 163.727 566481.1051 0.7424 163.964 567356.5874 0.3829 164.201 568232.0696 1.0828 164.438 569107.5519 1.0505 164.51 569373.5212 0.0145 164.773 570345.0479 0.6293 165.036 571316.5746 0.3268 165.293 572265.9373 -1.1059 165.515 573086.0093 -1.1157 165.778 574057.536 -1.5229 166.013 574925.6302 -2.5 166.252 575808.5005 -2.0991 166.515 576780.0273 -0.6183 166.777 577747.86 -1.3475 167.01 578608.5662 -2.1322 167.295 579661.3613 -1.3869 167.527 580518.3735 -1.6327 167.812 581571.1686 -1.339 167.905 581914.7123 -1.4616 168.191 582971.2014 1.129 168.478 584031.3846 -1.7354 168.701 584855.1506 -1.4553 168.986 585907.9457 -1.7139 169.271 586960.7409 -2.2844 169.51 587843.6112 -1.4342 170.791 593754.1649 -2.8774 171.025 594925.1585 -2.4105 171.238 595974.3771 -2.3926 171.479 597142.3465 -2.2078 171.72 598289.9584 -1.5865 172.115 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685707.4179 0.3053 191.015 686785.3325 0.6344 191.226 687724.5001 -0.1132 191.461 688769.7611 0.8878 191.703 689845.3519 1.1568 191.875 690609.3245 0.9464 192.01 691208.6649 0.255 192.317 692570.6624 1.2374 192.624 693931.3444 0.6677 192.932 695295.1368 1.1224 193.143 696228.6589 0.7931 193.45 697585.8017 1.2877 193.757 698941.629 1.026 194.065 700300.5508 0.6695 194.372 701653.7429 0.8998 194.706 703124.4514 0.1861 194.956 704224.2622 -0.1528 195.207 705327.5946 -0.7925 195.275 705626.3541 -1.3064 195.526 706728.569 -0.2274 195.776 707825.5185 -0.457 196.029 708934.7434 -2.2416 196.28 710034.3169 -4.1485 196.53 711128.6355 -2.6894 196.781 712226.4539 -2.4769 197.345 714690.057 -1.0907 197.665 716085.8719 -1.8253 197.985 717480.2576 -1.9726 198.305 718873.2141 -2.4033 199.51 724105.7418 -1.5425 199.761 725193.1205 2.7619 200.013 726283.9467 0.9857 200.186 727032.2945 -0.3155 200.437 728117.3049 1.4504 200.689 729205.7535 1.5099 200.866 729969.7292 0.1096 201.094 730953.189 0.9178 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