Environmental magnetic record and paleosecular variation data for the last 40 kyrs from the Lake Biwa sediments, Central Japan

Hayashida, Akira; Ali, Mohammad; Kuniko, Yoshiki; Kitagawa, Hiroyuki; Torii, Masayuki; Takemura, Keiji

doi:10.1186/bf03352743

Cited by 44 publications

(39 citation statements)

References 40 publications

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“…However, this interpretation is inconsistent with pollen‐based precipitation estimates in Lake Biwa that show increases in precipitation when summer insolation was high (Nakagawa et al , 2008). Another precipitation proxy such as the anhysteretic remanent magnetization (ARM) susceptibility record in Lake Biwa sediment core also suggests an increase in precipitation in the warm Holocene but low precipitation during MIS 2 (Hayashida et al , 2007). Therefore, the δ D of C 28 n ‐FA in the Lake Biwa sediment core is unlikely to reflect rainfall amount.…”

Section: Discussionsupporting

confidence: 73%

Assessment of hydrogen isotopic compositions of n‐fatty acids as paleoclimate proxies in Lake Biwa sediments

Seki

Kawamura

Ishiwatari³

2012

J Quaternary Science

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Compound specific hydrogen isotopic compositions (dD) of free and bound forms of n-fatty acids (FA) were measured throughout a 200 m sediment core taken from Lake Biwa to assess application of biomarker dD values to paleoclimate study in this central Japan lake. The results of our study suggest that the sources of the C 16 n-FA in the two forms are different, whereas both free and bound C 28 n-FA originate from terrestrial plants. The dD of combined (free plus bound) C 28 n-FA in the 200 m sediment core shows a large variability, with relatively low and high values during the glacial and interglacial periods, respectively. Based on comparison of our record with other marine and lacustrine paleoclimate data, we found that the sedimentary record of C 28 n-FA dD likely reflects the temperatureinduced change in dD of summer precipitation. This finding suggests that dD values of C 28 n-FA could be used as a proxy for summer paleotemperatures in the sediments of Lake Biwa and other lakes.

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Section: Discussionsupporting

confidence: 73%

Assessment of hydrogen isotopic compositions of n‐fatty acids as paleoclimate proxies in Lake Biwa sediments

Seki

Kawamura

Ishiwatari³

2012

J Quaternary Science

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“… g References: 1, Lisé‐Pronovost et al [2009]; 2, Vigliotti [2006]; 3, Hogg [1978]; 4, Nourgaliev et al [2003]; 5, Nourgaliev et al [1996]; 6, Peck et al [1996]; 7, Thouveny and Williamson [1988]; 8, Constable and McElhinny [1985]; 9, Constable [1985]; 10, Barletta et al [2008]; 11, Creer et al [1981]; 12, Hayashida et al [2007]; 13, Frank et al [2002b]; 14, Frank et al [2003]; 15, Ali et al [1999]; 16, Barton and McElhinny [1981]; 17, Creer et al [1983]; 18, Frank et al [2007]; 19, Stockhausen [1998]; 20, Hyodo et al [1999]; 21, Frank [2007]; 22, Gogorza et al [2002]; 23, Gogorza et al [2004]; 24, Zhu et al [1994]; 25, Haltia‐Hovi et al [2010]; 26, Verosub et al [1986]; 27, Snowball et al [2007]; 28, Snowball and Sandgren [2002]; 29, Zillén [2003]; 30, Channell et al [1997]; 31, Turner and Thompson [1981]; 32, Bleil and Dillon [2008]; 33, Stoner et al [2007]; 34, Mothersill [1981]; 35, Lund and Banerjee [1985]; 36, Frank et al [2002a]; 37, King [1983]; 38, Turner and Thompson [1979]; 39, Geiss et al [2007]; 40, Turner [1987]; 41, Brown [1991]; 42, Brandt et al [1999]; 43, Nourgaliev et al [2005]; 44, Ojala and Saarinen [2002]; 45, Brachfeld et al [2000]; 46, Brachfeld and Banerjee [2000]; 47, Saarinen [1998]; 48, Turner and Lillis [1994]; 49, St‐Onge et al [2004]; 50, Chaparro et al [2008]; 51, Ojala and Tiljander [2003]…”

Section: Holocene Sediment Magnetic Recordsmentioning

confidence: 99%

Spline analysis of Holocene sediment magnetic records: Uncertainty estimates for field modeling

et al. 2012

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.[1] Sediment and archeomagnetic data spanning the Holocene enable us to reconstruct the evolution of the geomagnetic field on time scales of centuries to millennia. In global field modeling the reliability of data is taken into account by weighting according to uncertainty estimates. Uncertainties in sediment magnetic records arise from (1) imperfections in the paleomagnetic recording processes, (2) coring and (sub) sampling methods, (3) adopted averaging procedures, and (4) uncertainties in the age-depth models. We take a step toward improved uncertainty estimates by performing a comprehensive statistical analysis of the available global database of Holocene magnetic records. Smoothing spline models that capture the robust aspects of individual records are derived. This involves a cross-validation approach, based on an absolute deviation measure of misfit, to determine the smoothing parameter for each spline model, together with the use of a minimum smoothing time derived from the sedimentation rate and assumed lock-in depth. Departures from the spline models provide information concerning the random variability in each record. Temporal resolution analysis reveals that 50% of the records have smoothing times between 80 and 250 years. We also perform comparisons among the sediment magnetic records and archeomagnetic data, as well as with predictions from the global historical and archeomagnetic field models. Combining these approaches, we arrive at individual uncertainty estimates for each sediment record. These range from 2.5°to 11.2°(median: 5.9°; interquartile range: 5.4°to 7.2°) for inclination, 4.1°to 46.9°(median: 13.4°; interquartile range: 11.4°to 18.9°) for relative declination, and 0.59 to 1.32 (median: 0.93; interquartile range: 0.86 to 1.01) for standardized relative paleointensity. These values suggest that uncertainties may have been underestimated in previous studies. No compelling evidence for systematic inclination shallowing is obtained from the analysis of the available database of Holocene sediment magnetic records. The analysis highlights the importance of collecting oriented cores, publishing and archiving unprocessed raw paleosecular variation determinations, and presenting a detailed chronology so that changes in the sedimentation rate can be assessed. With regard to future field models, workers should consider rejection of anomalous cores through comparisons to other sources and ensure that realistically large uncertainties are allocated to high-latitude declination records.Citation: Panovska, S., C. C. Finlay, F. Donadini, and A. M. Hirt (2012), Spline analysis of Holocene sediment magnetic records: Uncertainty estimates for field modeling,

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“…Sediment records: BI2 -Lake Biwa, Japan (Hayashida et al 2007); AD1 -Adriatic Sea, Italy (Vigliotti 2006); NAU -Nautajärvi, Finland (Ojala & Saarinen 2002;Snowball et al 2007); TRE -Laguna El Trébol, Argentina Irurzun et al 2006); BEA -Beaufort Sea, Arctic Ocean (Barletta et al 2008); DES -Dead Sea, Israel (Frank et al 2007); ESC -Lake Escondido, Argentina (Gogorza et al 2002(Gogorza et al , 2004 and PAD -Palmer Deep, Antarctic Pen .…”

Section: Inclusion Of Relative Paleointensity and Relative Declinatiomentioning

confidence: 99%

“…Therefore, this part of the Lake Pepin record was discarded before carrying out the modelling. The Lake Biwa record (BIW) (Ali et al 1999) has been replaced with a new record from the same lake (BI2) (Hayashida et al 2007), while both records were used in the models CALS10k.1b ) and pfm9k (Nilsson et al 2014). To avoid the problems of heterogeneous sediment data set in building the pfm9k models, Nilsson et al (2014) resampled all sedimentary records in 50-yr bins and obtained uncertainty estimates based on the dispersion of the data within each bin.…”

Section: Data a N D U N C E Rta I N T Y E S T I M At E Smentioning

confidence: 99%

Limitations in paleomagnetic data and modelling techniques and their impact on Holocene geomagnetic field models

Panovska

Korte

Finlay

et al. 2015

Geophysical Journal International

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S U M M A R YCharacterization of geomagnetic field behaviour on timescales of centuries to millennia is necessary to understand the mechanisms that sustain the geodynamo and drive its evolution. As Holocene paleomagnetic and archeomagnetic data have become more abundant, strategies for regularized inversion of modern field data have been adapted to produce numerous timevarying global field models. We evaluate the effectiveness of several approaches to inversion and data handling, by assessing both global and regional properties of the resulting models. Global Holocene field models cannot resolve Southern hemisphere regional field variations without the use of sediments. A standard data set is used to construct multiple models using two different strategies for relative paleointensity calibration and declination orientation and a selection of starting models in the inversion procedure. When data uncertainties are considered, the results are similar overall regardless of whether we use iterative calibration and reorientation, or co-estimation of the calibration and orientation parameters as part of the inversion procedure. In each case the quality of the starting model used for initial relative paleointensity calibration and declination orientation is crucial and must be based on the best absolute information available. Without adequate initial calibration the morphology of dipole moment variations can be recovered but its absolute value will be correlated with the initial intensity calibrations, an effect that might be mitigated by ensuring an appropriate fit to enough high quality absolute intensity data with low uncertainties. The declination reorientation mainly impacts regional field structure and in the presence of non-zonal fields will result in a non-zero local average. The importance of declination orientation is highlighted by inconsistencies in the West Pacific and Australian sediment records in CALS10k.1b model. Great care must also be taken to assess uncertainties associated with both paleomagnetic and age data and to evaluate the effects of poor data distribution. New consistently allocated uncertainty estimates for sediment paleomagnetic records highlight the importance of adequate uncertainties in the inversion process, as they determine the relative weighting among the data and overall normalized misfit levels which in turn influence the complexity of the inferred field models. Residual distributions suggest that the most appropriate misfit measure is the L 1 norm (minimum absolute deviation) rather than L 2 (least squares), but this seems to have relatively minor impact on the overall results. For future Holocene field modelling we see a need for comprehensive methods to assess uncertainty in individual archeomagnetic data so that these data or models derived from them can be used for reliable initial relative paleointensity calibration and declination orientation in sediments. More work will be needed to assess whether co-estimation or an iterative approach to inversion is more efficient overall...

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Environmental magnetic record and paleosecular variation data for the last 40 kyrs from the Lake Biwa sediments, Central Japan

Cited by 44 publications

References 40 publications

Assessment of hydrogen isotopic compositions of n‐fatty acids as paleoclimate proxies in Lake Biwa sediments

Assessment of hydrogen isotopic compositions of n‐fatty acids as paleoclimate proxies in Lake Biwa sediments

Spline analysis of Holocene sediment magnetic records: Uncertainty estimates for field modeling

Limitations in paleomagnetic data and modelling techniques and their impact on Holocene geomagnetic field models

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