Influence of Magnetofossils on Paleointensity Estimations Inferred From Principal Component Analyses of First-Order Reversal Curve Diagrams for Sediments From the Western Equatorial Pacific

被引:12
|
作者
Inoue, Kosuke [1 ]
Yamazaki, Toshitsugu [1 ]
Usui, Yoichi [2 ]
机构
[1] Univ Tokyo, Atmosphere & Ocean Res Inst, Kashiwa, Chiba, Japan
[2] Japan Agcy Marine Earth Sci & Technol, Res Inst Marine Geodynam, Volcanoes & Earths Interior Res Ctr, Yokosuka, Kanagawa, Japan
关键词
relative paleointensity; magnetofossil; FORC diagram; MAGNETIC PARTICLE-SYSTEMS; RELATIVE PALEOINTENSITY; GRAIN-SIZE; GEOMAGNETIC PALEOINTENSITY; QUARTZ; RECORD; PRODUCTIVITY; ABUNDANCE; DUST;
D O I
10.1029/2021GC010081
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
Relative abundance of magnetite originated from magnetotactic bacteria (magnetofossils) in sediments may influence relative paleointensity (RPI) estimations of the geomagnetic field, as some studies reported an inverse correlation between RPI and the ratio of anhysteretic remanent magnetization susceptibility to saturation isothermal remanent magnetization (k(ARM)/SIRM), a proxy of the proportion of biogenic to terrigenous magnetic minerals as well as magnetic grain size. This study aims to evaluate the influence of magnetofossils on RPI estimations more selectively using first-order reversal curve (FORC) diagrams. We studied three cores (KR0515-PC4, MD982187, and MR1402-PC1) from the western equatorial Pacific, among which large differences exist in the average natural remanent magnetization intensity normalized by ARM and k(ARM)/SIRM. Principal component analyses (PCAs) were applied to FORC diagrams measured on bulk specimens from the three cores and silicate-hosted magnetic inclusions extracted from Core MD982187, and three endmembers (EMs) were revealed (EM1: silicate-hosted magnetic inclusions, EM2: other terrigenous, EM3: biogenic). EM3 proportions vary widely among the three cores. The average RPI decreases with increasing EM3 proportion, which is probably caused by higher ARM acquisition efficiency of magnetofossils due to small magnetostatic interactions. EM3 proportion correlates with k(ARM)/SIRM, which confirms that k(ARM)/SIRM represents the proportion of biogenic to terrigenous magnetic components. Core MR1402-PC1 has the highest EM3 proportion, and its within-core variation is small. From FORC-PCA applied solely to this core, we infer that the configurations of biogenic magnetite chains such as bending and collapse may also influence k(ARM)/SIRM and RPI estimations.
引用
收藏
页数:15
相关论文
共 10 条
  • [1] Magnetostatic interactions in deep-sea sediments inferred from first-order reversal curve diagrams: Implications for relative paleointensity normalization
    Yamazaki, Toshitsugu
    GEOCHEMISTRY GEOPHYSICS GEOSYSTEMS, 2008, 9
  • [2] Increasing the efficiency of paleointensity analyses by selection of samples using first-order reversal curve diagrams
    Carvallo, Claire
    Roberts, Andrew P.
    Leonhardt, Roman
    Laj, Carlo
    Kissel, Catherine
    Perrin, Mireille
    Camps, Pierre
    JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH, 2006, 111 (B12)
  • [3] Magnetic unmixing of first-order reversal curve diagrams using principal component analysis
    Lascu, Ioan
    Harrison, Richard J.
    Li, Yuting
    Muraszko, Joy R.
    Channell, James E. T.
    Piotrowski, Alexander M.
    Hodell, David A.
    GEOCHEMISTRY GEOPHYSICS GEOSYSTEMS, 2015, 16 (09): : 2900 - 2915
  • [4] An Improved Algorithm for Unmixing First-Order Reversal Curve Diagrams Using Principal Component Analysis
    Harrison, Richard J.
    Muraszko, Joy
    Heslop, David
    Lascu, Ioan
    Muxworthy, Adrian R.
    Roberts, Andrew P.
    GEOCHEMISTRY GEOPHYSICS GEOSYSTEMS, 2018, 19 (05): : 1595 - 1610
  • [5] Characterizing magnetofossils from first-order reversal curve (FORC) central ridge signatures
    Heslop, David
    Roberts, Andrew P.
    Chang, Liao
    GEOCHEMISTRY GEOPHYSICS GEOSYSTEMS, 2014, 15 (06) : 2170 - 2179
  • [6] Unmixing biogenic and terrigenous magnetic mineral components in red clay of the Pacific Ocean using principal component analyses of first-order reversal curve diagrams and paleoenvironmental implications
    Toshitsugu Yamazaki
    Wei Fu
    Takaya Shimono
    Yoichi Usui
    Earth, Planets and Space, 72
  • [7] Unmixing biogenic and terrigenous magnetic mineral components in red clay of the Pacific Ocean using principal component analyses of first-order reversal curve diagrams and paleoenvironmental implications
    Yamazaki, Toshitsugu
    Fu, Wei
    Shimono, Takaya
    Usui, Yoichi
    EARTH PLANETS AND SPACE, 2020, 72 (01):
  • [8] Unlocking information about fine magnetic particle assemblages from first-order reversal curve diagrams: Recent advances
    Roberts, Andrew P.
    Heslop, David
    Zhao, Xiang
    Oda, Hirokuni
    Egli, Ramon
    Harrison, Richard J.
    Hu, Pengxiang
    Muxworthy, Adrian R.
    Sato, Tetsuro
    EARTH-SCIENCE REVIEWS, 2022, 227
  • [9] Magnetic Domain State and Anisotropy in Hematite (α-Fe2O3) From First-Order Reversal Curve Diagrams
    Roberts, Andrew P.
    Zhao, Xiang
    Hu, Pengxiang
    Abrajevitch, Alexandra
    Chen, Yen-Hua
    Harrison, Richard J.
    Heslop, David
    Jiang, Zhaoxia
    Li, Jinhua
    Liu, Qingsong
    Muxworthy, Adrian R.
    Oda, Hirokuni
    O'Neill, Hugh St C.
    Pillans, Brad J.
    Sato, Tetsuro
    JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH, 2021, 126 (12)
  • [10] Magnetic Domain State Diagnosis in Soils, Loess, and Marine Sediments From Multiple First-Order Reversal Curve-Type DiagramsTaxonomyNumbers
    Hu, P. X.
    Zhao, X.
    Roberts, A. P.
    Heslop, D.
    Rossel, R. A. Viscarra
    JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH, 2018, 123 (02) : 998 - 1017