Articles | Volume 4, issue 1
https://doi.org/10.5194/gchron-4-269-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gchron-4-269-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
18 May 2022
Research article |
| 18 May 2022
| 18 May 2022
Improving age–depth relationships by using the LANDO (“Linked age and depth modeling”) model ensemble
Alfred Wegener Institute, Helmholtz Centre for Polar and Marine
Research, Research Unit Potsdam, Telegrafenberg A45, 14473 Potsdam, Germany
Institute of Geosciences, University of Potsdam, Karl-Liebknecht-Str. 24–25, 14476 Potsdam-Golm, Germany
Einstein Center Digital Future, Robert-Koch-Forum, Wilhelmstraße 67, 10117 Berlin, Germany
Department of Computer Science, Humboldt-Universität zu Berlin, Unter den Linden 6, 10099 Berlin, Germany
Bernhard Diekmann
Alfred Wegener Institute, Helmholtz Centre for Polar and Marine
Research, Research Unit Potsdam, Telegrafenberg A45, 14473 Potsdam, Germany
Institute of Geosciences, University of Potsdam, Karl-Liebknecht-Str. 24–25, 14476 Potsdam-Golm, Germany
Johann-Christoph Freytag
Einstein Center Digital Future, Robert-Koch-Forum, Wilhelmstraße 67, 10117 Berlin, Germany
Department of Computer Science, Humboldt-Universität zu Berlin, Unter den Linden 6, 10099 Berlin, Germany
Liudmila Syrykh
Department of Physical Geography and Environment, Herzen State Pedagogical University of Russia, Moyka Emb. 48, St. Petersburg 191186, Russia
Dmitry A. Subetto
Department of Physical Geography and Environment, Herzen State Pedagogical University of Russia, Moyka Emb. 48, St. Petersburg 191186, Russia
Institute for Water and Environmental Problems of the Siberian Branch of the Russian Academy of Sciences, Molodezhnayastr.1, Barnaul 656038,
Russia
Boris K. Biskaborn
CORRESPONDING AUTHOR
Alfred Wegener Institute, Helmholtz Centre for Polar and Marine
Research, Research Unit Potsdam, Telegrafenberg A45, 14473 Potsdam, Germany
Institute of Geosciences, University of Potsdam, Karl-Liebknecht-Str. 24–25, 14476 Potsdam-Golm, Germany
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This study is focused on the accurate measurement of U and Th by wet chemistry and laser ablation methods to improve (U–Th)/He dating of magnetite and spinel. The low U–Th content and the lack of specific U–Th standards significantly limit the accuracy of (U–Th)/He dating. Obtained U–Th results on natural and synthetic magnetite and aluminous spinel samples analyzed by wet chemistry methods and LA-ICP-MS sampling have important implications for the (U–Th)/He method and dates interpretation.
Aratz Beranoaguirre, Iuliana Vasiliev, and Axel Gerdes
Geochronology, 4, 601–616, https://doi.org/10.5194/gchron-4-601-2022, https://doi.org/10.5194/gchron-4-601-2022, 2022
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U–Pb dating by the in situ laser ablation mass spectrometry (LA-ICPMS) technique requires reference materials of the same nature as the samples to be analysed. Here, we have explored the suitability of using carbonate materials as a reference for sulfates, since there is no sulfate reference material. The results we obtained are satisfactory, and thus, from now on, the sulfates can also be analysed.
Pieter Vermeesch
Geochronology, 4, 561–576, https://doi.org/10.5194/gchron-4-561-2022, https://doi.org/10.5194/gchron-4-561-2022, 2022
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Secondary ion mass spectrometry (SIMS) is the oldest and most sensitive analytical technique for in situ U–Pb geochronology. This paper introduces a new algorithm for SIMS data reduction that treats data as
compositional data, which means that the relative abundances of 204Pb, 206Pb, 207Pb, and 238Pb are processed within a tetrahedral data space or
simplex. The new method is implemented in an eponymous computer programme that is compatible with the two dominant types of SIMS instruments.
Emily H. G. Cooperdock, Florian Hofmann, Ryley M. C. Tibbetts, Anahi Carrera, Aya Takase, and Aaron J. Celestian
Geochronology, 4, 501–515, https://doi.org/10.5194/gchron-4-501-2022, https://doi.org/10.5194/gchron-4-501-2022, 2022
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Apatite and zircon are the most widely used minerals for dating rocks, but they can be difficult to identify in some crushed rock samples. Incorrect mineral identification results in wasted analytical resources and inaccurate data. We show how X-ray computed tomography can be used to efficiently and accurately distinguish apatite from zircon based on density variations, and provide non-destructive 3D grain-specific size, shape, and inclusion information for improved data quality.
Dale R. Issler, Kalin T. McDannell, Paul B. O'Sullivan, and Larry S. Lane
Geochronology, 4, 373–397, https://doi.org/10.5194/gchron-4-373-2022, https://doi.org/10.5194/gchron-4-373-2022, 2022
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Phanerozoic sedimentary rocks of northern Canada have compositionally heterogeneous detrital apatite with high age dispersion caused by differential thermal annealing. Discrete apatite fission track kinetic populations with variable annealing temperatures are defined using elemental data but are poorly resolved using conventional parameters. Inverse thermal modelling of samples from northern Yukon reveals a record of multiple heating–cooling cycles consistent with geological constraints.
Michael Dietze, Sebastian Kreutzer, Margret C. Fuchs, and Sascha Meszner
Geochronology, 4, 323–338, https://doi.org/10.5194/gchron-4-323-2022, https://doi.org/10.5194/gchron-4-323-2022, 2022
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The R package sandbox is a collection of functions that allow the creation, sampling and analysis of fully virtual sediment sections, like having a virtual twin of real-world deposits. This article introduces the concept, features, and workflows required to use sandbox. It shows how a real-world sediment section can be mapped into the model and subsequently addresses a series of theoretical and practical questions, exploiting the flexibility of the model framework.
Andrea Madella, Christoph Glotzbach, and Todd A. Ehlers
Geochronology, 4, 177–190, https://doi.org/10.5194/gchron-4-177-2022, https://doi.org/10.5194/gchron-4-177-2022, 2022
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Cooling ages date the time at which minerals cross a certain isotherm on the way up to Earth's surface. Such ages can be measured from bedrock material and river sand. If spatial variations in bedrock ages are known in a river catchment, the spatial distribution of erosion can be inferred from the distribution of the ages measured from the river sand grains. Here we develop a new tool to help such analyses, with particular emphasis on quantifying uncertainties due to sample size.
Yang Li and Pieter Vermeesch
Geochronology, 3, 415–420, https://doi.org/10.5194/gchron-3-415-2021, https://doi.org/10.5194/gchron-3-415-2021, 2021
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A conventional isochron is a straight-line fit to two sets of isotopic ratios, D/d and P/d, where P is the radioactive parent, D is the radiogenic daughter, and d is a second isotope of the daughter element. The slope of this line is proportional to the age of the system. An inverse isochron is a linear fit through d/D and P/D. The horizontal intercept of this line is inversely proportional to the age. The latter approach is preferred when d<D, which is the case in Re–Os and K–Ca geochronology.
Cécile Gautheron, Rosella Pinna-Jamme, Alexis Derycke, Floriane Ahadi, Caroline Sanchez, Frédéric Haurine, Gael Monvoisin, Damien Barbosa, Guillaume Delpech, Joseph Maltese, Philippe Sarda, and Laurent Tassan-Got
Geochronology, 3, 351–370, https://doi.org/10.5194/gchron-3-351-2021, https://doi.org/10.5194/gchron-3-351-2021, 2021
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Apatite and zircon (U–Th) / He thermochronology is now a mainstream tool to reconstruct Earth's evolution through the history of cooling and exhumation over the first dozen kilometers. The geological implications of these data rely on the precision of measurements of He, U, Th, and Sm contents in crystals. This technical note documents the methods for He thermochronology developed at the GEOPS laboratory, Paris-Saclay University, that allow (U–Th) / He data to be obtained with precision.
Kalin T. McDannell and Dale R. Issler
Geochronology, 3, 321–335, https://doi.org/10.5194/gchron-3-321-2021, https://doi.org/10.5194/gchron-3-321-2021, 2021
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We generated a synthetic dataset applying published kinetic models and distinct annealing kinetics for the apatite fission track and (U–Th)/He methods using a predetermined thermal history. We then tested how well the true thermal history could be recovered under different data interpretation schemes and geologic constraint assumptions using the Bayesian QTQt software. Our results demonstrate that multikinetic data increase time–temperature resolution and can constrain complex thermal histories.
Birk Härtel, Raymond Jonckheere, Bastian Wauschkuhn, and Lothar Ratschbacher
Geochronology, 3, 259–272, https://doi.org/10.5194/gchron-3-259-2021, https://doi.org/10.5194/gchron-3-259-2021, 2021
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We carried out thermal annealing experiments between 500 and 1000 °C to determine the closure temperature of radiation-damage annealing in zircon (ZrSiO4). Our results show that the different Raman bands of zircon respond differently to annealing. The repair is highest for the external rotation Raman band near 356.6 cm−1. The closure temperature estimates range from 250 to 370 °C for different bands. The differences in closure temperatures offer the prospect of multi-T zircon Raman dating.
Pieter Vermeesch
Geochronology, 3, 247–257, https://doi.org/10.5194/gchron-3-247-2021, https://doi.org/10.5194/gchron-3-247-2021, 2021
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This paper shows that the current practice of filtering discordant U–Pb data based on the relative difference between the 206Pb/238U and 207Pb/206Pb ages is just one of several possible approaches to the problem and demonstrably not the best one. An alternative approach is to define discordance in terms of isotopic composition, as a log ratio distance between the measurement and the concordia line. Application to real data indicates that this reduces the positive bias of filtered age spectra.
Blair Schoene, Michael P. Eddy, C. Brenhin Keller, and Kyle M. Samperton
Geochronology, 3, 181–198, https://doi.org/10.5194/gchron-3-181-2021, https://doi.org/10.5194/gchron-3-181-2021, 2021
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We compare two published U–Pb and 40Ar / 39Ar geochronologic datasets to produce eruption rate models for the Deccan Traps large igneous province. Applying the same approach to each dataset, the resulting models agree well, but the higher-precision U–Pb dataset results in a more detailed eruption model than the lower-precision 40Ar / 39Ar data. We explore sources of geologic uncertainty and reiterate the importance of systematic uncertainties in comparing U–Pb and 40Ar / 39Ar datasets.
Nicholas P. McKay, Julien Emile-Geay, and Deborah Khider
Geochronology, 3, 149–169, https://doi.org/10.5194/gchron-3-149-2021, https://doi.org/10.5194/gchron-3-149-2021, 2021
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This paper describes geoChronR, an R package that streamlines the process of quantifying age uncertainties, propagating uncertainties through several common analyses, and visualizing the results. In addition to describing the structure and underlying theory of the package, we present five real-world use cases that illustrate common workflows in geoChronR. geoChronR is built on the Linked PaleoData framework, is open and extensible, and we welcome feedback and contributions from the community.
Leonie Peti, Kathryn E. Fitzsimmons, Jenni L. Hopkins, Andreas Nilsson, Toshiyuki Fujioka, David Fink, Charles Mifsud, Marcus Christl, Raimund Muscheler, and Paul C. Augustinus
Geochronology, 2, 367–410, https://doi.org/10.5194/gchron-2-367-2020, https://doi.org/10.5194/gchron-2-367-2020, 2020
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Orakei Basin – a former maar lake in Auckland, New Zealand – provides an outstanding sediment record over the last ca. 130 000 years, but an age model is required to allow the reconstruction of climate change and volcanic eruptions contained in the sequence. To construct a relationship between depth in the sediment core and age of deposition, we combined tephrochronology, radiocarbon dating, luminescence dating, and the relative intensity of the paleomagnetic field in a Bayesian age–depth model.
Roger Powell, Eleanor C. R. Green, Estephany Marillo Sialer, and Jon Woodhead
Geochronology, 2, 325–342, https://doi.org/10.5194/gchron-2-325-2020, https://doi.org/10.5194/gchron-2-325-2020, 2020
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The standard approach to isochron calculation assumes that the distribution of uncertainties on the data arising from isotopic analysis is strictly Gaussian. This excludes datasets that have more scatter, even though many appear to have age significance. Our new approach requires only that the central part of the uncertainty distribution of the data defines a "spine" in the trend of the data. A robust statistics approach is used to locate the spine, and an implementation in Python is given.
Simon J. E. Large, Jörn-Frederik Wotzlaw, Marcel Guillong, Albrecht von Quadt, and Christoph A. Heinrich
Geochronology, 2, 209–230, https://doi.org/10.5194/gchron-2-209-2020, https://doi.org/10.5194/gchron-2-209-2020, 2020
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The integration of zircon geochemistry and U–Pb geochronology (petrochronology) allows us to improve our understanding of magmatic processes. Here we could reconstruct the ~300 kyr evolution of the magma reservoir that sourced the magmas, fluids and metals to form the Batu Hijau porphyry Cu–Au deposit. The application of in situ LA-ICP-MS and high-precision CA–ID–TIMS geochronology to the same zircons further allowed an assessment of the strengths and limitations of the different techniques.
Julia Kalanke, Jens Mingram, Stefan Lauterbach, Ryskul Usubaliev, Rik Tjallingii, and Achim Brauer
Geochronology, 2, 133–154, https://doi.org/10.5194/gchron-2-133-2020, https://doi.org/10.5194/gchron-2-133-2020, 2020
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Our study presents the first seasonally laminated (varved) sediment record covering almost the entire Holocene in high mountainous arid Central Asia. The established floating varve chronology is confirmed by two terrestrial radiocarbon dates, whereby aquatic radiocarbon dates reveal decreasing reservoir ages up core. Changes in seasonal deposition characteristics are attributed to changes in runoff and precipitation and/or to evaporative summer conditions.
Pieter Vermeesch
Geochronology, 2, 119–131, https://doi.org/10.5194/gchron-2-119-2020, https://doi.org/10.5194/gchron-2-119-2020, 2020
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The U–Pb method is one of the most powerful and versatile methods in the geochronological toolbox. With two isotopes of uranium decaying to two different isotopes of lead, the U–Pb method offers an internal quality control that is absent from most other geochronological techniques. U-bearing minerals often contain significant amounts of Th, which decays to a third Pb isotope. This paper presents an algorithm to jointly process all three chronometers at once.
Jon Woodhead and Joseph Petrus
Geochronology, 1, 69–84, https://doi.org/10.5194/gchron-1-69-2019, https://doi.org/10.5194/gchron-1-69-2019, 2019
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Recently developed methods for in situ U–Pb age determination in carbonates have found widespread application, but the benefits and limitations of the method over bulk analysis approaches have yet to be fully explored. Here we use speleothems – cave carbonates such as stalagmites and flowstones – to investigate the utility of these in situ dating methodologies for challenging matrices with low U and Pb contents and predominantly late Cenozoic ages.
Cited articles
Abadi, M., Barham, P., Chen, J., Chen, Z., Davis, A., Dean, J., Devin, M.,
Ghemawat, S., Irving, G., Isard, M., Kudlur, M., Levenberg, J., Monga, R.,
Moore, S., Murray, D. G., Steiner, B., Tucker, P., Vasudevan, V., Warden,
P., Wicke, M., Yu, Y., and Zheng, X.: TensorFlow: A system for large-scale
machine learning, in: 12th USENIX Symposium on Operating Systems Design and
Implementation (OSDI 16), 2–4 November 2016, Savannah, GA, USA, 265–283, https://doi.org/10.1016/0076-6879(83)01039-3, 2016.
Abbott, M. B. and Stafford, T. W.: Radiocarbon geochemistry of modern and
Ancient Arctic lake systems, Baffin Island, Canada, Quat. Res., 45,
300–311, https://doi.org/10.1006/qres.1996.0031, 1996.
Alasadi, S. A. and Bhaya, W. S.: Review of data preprocessing techniques in
data mining, J. Eng. Appl. Sci., 12, 4102–4107, 2017.
Anderson, P., Minyuk, P., Lozhkin, A., Cherepanova, M., Borkhodoev, V., and
Finney, B.: A multiproxy record of Holocene environmental changes from the
northern Kuril Islands (Russian Far East), J. Paleolimnol., 54, 379–393,
https://doi.org/10.1007/s10933-015-9858-y, 2015.
Anderson, P. M. and Lozhkin, A. V.: Late Quaternary vegetation of Chukotka
(Northeast Russia), implications for Glacial and Holocene environments of
Beringia, Quat. Sci. Rev., 107, 112–128,
https://doi.org/10.1016/j.quascirev.2014.10.016, 2015.
Andreev, A. A., Tarasov, P. E., Siegert, C., Ebel, T., Klimanov, V. A.,
Melles, M., Bobrov, A. A., Dereviagin, A. Y., Lubinski, D. J., and
Hubberten, H.-W.: Late Pleistocene and Holocene vegetation and climate on
the northern Taymyr Peninsula, Boreas, 32, 484–505,
https://doi.org/10.1111/j.1502-3885.2003.tb01230.x, 2003a.
Andreev, A. A., Tarasov, P. E., Siegert, C., Ebel, T., Klimanov, V. A., Melles, M., Bobrov, A. A., Dereviagin, A. Y., Lubinski, D. J., and Hubberten, H.-W.: Table 1. Radiocarbon dating on profile PG1228, PANGAEA [data set], https://doi.org/10.1594/PANGAEA.726591, 2003b.
Andreev, A. A., Tarasov, P. E., Klimanov, V. A., Melles, M., Lisitsyna, O.
M., and Hubberten, H. W.: Vegetation and climate changes around the Lama
Lake, Taymyr Peninsula, Russia during the Late Pleistocene and Holocene,
Quat. Int., 122, 69–84, https://doi.org/10.1016/j.quaint.2004.01.032, 2004.
Andreev, A. A., Tarasov, P. E., Ilyashuk, B. P., Ilyashuk, E. A., Cremer,
H., Hermichen, W.-D., Wischer, F., and Hubberten, H.-W.: Holocene
environmental history recorded in Lake Lyadhej-To sediments, Polar Urals,
Russia, Palaeogeogr. Palaeoclimatol. Palaeoecol., 223, 181–203,
https://doi.org/10.1016/j.palaeo.2005.04.004, 2005a.
Andreev, A. A., Tarasov, P. E., Ilyashuk, B. P., Ilyashuk, E. A., Cremer, H., Hermichen, W.-D., Wischer, F., and Hubberten, H.-W.: Age determinations on a sediment profile from lake Lyadhej-To, PANGAEA [data set], https://doi.org/10.1594/PANGAEA.728450, 2005b.
Andreev, A. A., Shumilovskikh, L. S., Savelieva, L. A., Gromig, R., Fedorov,
G. B., Ludikova, A., Wagner, B., Wennrich, V., Brill, D., and Melles, M.:
Environmental conditions in northwestern Russia during MIS 5 inferred from
the pollen stratigraphy in a sediment core from Lake Ladoga, Boreas, 48, 377–386,
https://doi.org/10.1111/bor.12382, 2019.
Andreev, A. A., Raschke, E., Biskaborn, B. K., Vyse, S. A., Courtin, J.,
Böhmer, T., Stoof-Leichsenring, K., Kruse, S., Pestryakova, L. A., and
Herzschuh, U.: Late Pleistocene to Holocene vegetation and climate changes
in northwestern Chukotka (Far East Russia) deduced from lakes Ilirney and
Rauchuagytgyn pollen records, Boreas, 50, 652–670,
https://doi.org/10.1111/bor.12521, 2021.
Appleby, P. G.: Three decades of dating recent sediments by fallout
radionuclides: A review, Holocene, 18, 83–93,
https://doi.org/10.1177/0959683607085598, 2008.
Ascough, P., Cook, G., and Dugmore, A.: Methodological approaches to
determining the marine radiocarbon reservoir effect, Prog. Phys. Geogr., 29,
532–547, https://doi.org/10.1191/0309133305pp461ra, 2005.
Austin, W. E. N., Bard, E., Hunt, J. B., Kroon, D., and Peacock, J. D.: The
14C Age of the Icelandic Vedde Ash: Implications for Younger Dryas Marine
Reservoir Age Corrections, Radiocarbon, 37, 53–62,
https://doi.org/10.1017/S0033822200014788, 1995.
Bao, R., McNichol, A. P., Hemingway, J. D., Lardie Gaylord, M. C., and
Eglinton, T. I.: Influence of different acid treatments on the radiocarbon
content spectrum of sedimentary organic matter determined by RPO/accelerator
mass spectrometry, Radiocarbon, 61, 395–413,
https://doi.org/10.1017/RDC.2018.125, 2019.
Baud, A., Jenny, J. P., Francus, P., and Gregory-Eaves, I.: Global
acceleration of lake sediment accumulation rates associated with recent
human population growth and land-use changes, J. Paleolimnol., 66, 453–467,
https://doi.org/10.1007/s10933-021-00217-6, 2021.
Baumer, M. M., Wagner, B., Meyer, H., Leicher, N., Lenz, M., Fedorov, G.,
Pestryakova, L. A., and Melles, M.: Climatic and environmental changes in
the Yana Highlands of north-eastern Siberia over the last c. 57 000 years,
derived from a sediment core from Lake Emanda, Boreas, 50, 114–133,
https://doi.org/10.1111/bor.12476, 2021.
Bayer, M.: SQLAlchemy, in: The Architecture of Open Source Applications
Volume II: Structure, Scale, and a Few More Fearless Hacks, edited by:
Brown, A. and Wilson, G., The Architecture of Open Source Applications, http://aosabook.org (last access: 20 April 2022), 2012.
Biskaborn, B. K., Herzschuh, U., Bolshiyanov, D., Savelieva, L., and
Diekmann, B.: Environmental variability in northeastern Siberia during the
last ∼ 13 300 yr inferred from lake diatoms and
sediment-geochemical parameters, Palaeogeogr. Palaeoclimatol. Palaeoecol.,
329–330, 22–36, https://doi.org/10.1016/j.palaeo.2012.02.003, 2012a.
Biskaborn, B. K., Herzschuh, U., Bolshiyanov, D. Y., Savelieva, L. A., and Diekmann, B.: (Table 1) Age determination of sediment core PG1984, PANGAEA [data set], https://doi.org/10.1594/PANGAEA.776407, 2012b.
Biskaborn, B. K., Herzschuh, U., Bolshiyanov, D., Savelieva, L., Zibulski,
R., and Diekmann, B.: Late Holocene thermokarst variability inferred from
diatoms in a lake sediment record from the Lena Delta, Siberian Arctic, J.
Paleolimnol., 49, 155–170, https://doi.org/10.1007/s10933-012-9650-1,
2013a.
Biskaborn, B. K., Herzschuh, U., Bolshiyanov, D. Y., Schwamborn, G., and
Diekmann, B.: Thermokarst processes and depositional events in a Tundra
Lake, Northeastern Siberia, Permafr. Periglac. Process., 24, 160–174,
https://doi.org/10.1002/ppp.1769, 2013b.
Biskaborn, B. K., Herzschuh, U., Bolshiyanov, D. Y., Savelieva, L. A., Zibulski, R., and Diekmann, B.: Age determination of sediment core PG1972-1 (09-Tik-03), PANGAEA [data set], https://doi.org/10.1594/PANGAEA.780526, 2013c.
Biskaborn, B. K., Herzschuh, U., Bolshiyanov, D. Y., Schwamborn, G., and Diekmann, B.: Age determination of sediment core PG1975-1 (09-Tik-05), PANGAEA [data set], https://doi.org/10.1594/PANGAEA.780385, 2013d.
Biskaborn, B. K., Subetto, D. A., Savelieva, L. A., Vakhrameeva, P. S.,
Hansche, A., Herzschuh, U., Klemm, J., Heinecke, L., Pestryakova, L. A.,
Meyer, H., Kuhn, G., and Diekmann, B.: Late Quaternary vegetation and lake
system dynamics in north-eastern Siberia: Implications for seasonal climate
variability, Quat. Sci. Rev., 147, 406–421,
https://doi.org/10.1016/j.quascirev.2015.08.014, 2016a.
Biskaborn, B. K., Subetto, D. A., Savelieva, L. A., Vakhrameeva, P., Hansche, A., Herzschuh, U., Klemm, J., Heinecke, L., Pestryakova, L. A., Meyer, H., Kuhn, G., and Diekmann, B.: Radiocarbon age determination on composite core PG2023, PANGAEA [data set], https://doi.org/10.1594/PANGAEA.848897, 2016b.
Biskaborn, B. K., Nazarova, L., Pestryakova, L. A., Syrykh, L., Funck, K., Meyer, H., Chapligin, B., Vyse, S., Gorodnichev, R., Zakharov, E., Wang, R., Schwamborn, G., Bailey, H. L., and Diekmann, B.: Spatial distribution of environmental indicators in surface sediments of Lake Bolshoe Toko, Yakutia, Russia, Biogeosciences, 16, 4023–4049, https://doi.org/10.5194/bg-16-4023-2019, 2019.
Biskaborn, B. K., Nazarova, L., Kröger, T., Pestryakova, L. A., Syrykh,
L., Pfalz, G., Herzschuh, U., and Diekmann, B.: Late Quaternary Climate
Reconstruction and Lead-Lag Relationships of Biotic and Sediment-Geochemical
Indicators at Lake Bolshoe Toko, Siberia, Front. Earth Sci., 9, 703,
https://doi.org/10.3389/feart.2021.737353, 2021.
Bjune, A. E., Greve Alsos, I., Brendryen, J., Edwards, M. E., Haflidason,
H., Johansen, M. S., Mangerud, J., Paus, A., Regnéll, C., Svendsen, J.,
and Clarke, C. L.: Rapid climate changes during the Lateglacial and the
early Holocene as seen from plant community dynamics in the Polar Urals,
Russia, J. Quat. Sci., 00, jqs.3352, https://doi.org/10.1002/jqs.3352, 2021.
Blaauw, M.: Methods and code for “classical” age-modelling of radiocarbon
sequences, Quat. Geochronol., 5, 512–518,
https://doi.org/10.1016/j.quageo.2010.01.002, 2010.
Blaauw, M.: clam: Classical Age-Depth Modelling of Cores from Deposits, R CRAN [code], https://cran.r-project.org/package=clam (last access: 20 April 2022), 2021.
Blaauw, M. and Christen, J. A.: Flexible paleoclimate age-depth models using
an autoregressive gamma process, Bayesian Anal., 6, 457–474,
https://doi.org/10.1214/11-BA618, 2011.
Blaauw, M. and Heegaard, E.: Estimation of Age-Depth Relationships, in: Tracking Environmental Change Using Lake Sediments, Developments in Paleoenvironmental Research, edited by: Birks, H., Lotter, A., Juggins, S., and Smol, J., Springer, Dordrecht, vol. 5, 379–413, https://doi.org/10.1007/978-94-007-2745-8_12, 2012.
Blaauw, M., Christen, J. A., Bennett, K. D., and Reimer, P. J.: Double the
dates and go for Bayes – Impacts of model choice, dating density and
quality on chronologies, Quat. Sci. Rev., 188, 58–66,
https://doi.org/10.1016/j.quascirev.2018.03.032, 2018.
Blaauw, M., Christen, J. A., and Aquino Lopez, M. A.: rbacon: Age-Depth
Modelling using Bayesian Statistics, R CRAN [code],
https://cran.r-project.org/package=rbacon (last access: 20 April 2022), 2021.
Bradley, R. S.: Paleoclimatology: Reconstructing Climates of the Quaternary
Second Edition, 3rd edn., Elsevier, Oxford, 557 pp.,
https://doi.org/10.1029/eo081i050p00613-01, 2015.
Brauer, A.: Annually Laminated Lake Sediments and Their Palaeoclimatic
Relevance, in: The Climate in Historical Times, GKSS School of Environmental Research, Springer, Berlin, Heidelberg, 109–127, https://doi.org/10.1007/978-3-662-10313-5_7, 2004.
Brock, F., Higham, T., Ditchfield, P., and Ramsey, C. B.: Current
Pretreatment Methods for AMS Radiocarbon Dating at the Oxford Radiocarbon
Accelerator Unit (Orau), Radiocarbon, 52, 103–112,
https://doi.org/10.1017/S0033822200045069, 2010.
Bronk Ramsey, C.: Radiocarbon Calibration and Analysis of Stratigraphy: The
OxCal Program, Radiocarbon, 37, 425–430,
https://doi.org/10.1017/s0033822200030903, 1995.
Bronk Ramsey, C.: Deposition models for chronological records, Quat. Sci.
Rev., 27, 42–60, https://doi.org/10.1016/j.quascirev.2007.01.019, 2008.
Bronk Ramsey, C.: Dealing with Outliers and Offsets in Radiocarbon Dating,
Radiocarbon, 51, 1023–1045, https://doi.org/10.1017/s0033822200034093,
2009.
Bronk Ramsey, C. and Lee, S.: Recent and Planned Developments of the Program
OxCal, Radiocarbon, 55, 720–730, https://doi.org/10.1017/s0033822200057878, 2013.
Cadena-Vela, S., Mazón, J.-N., and Fuster-Guilló, A.: Defining a
Master Data Management Approach for Increasing Open Data Understandability,
in: Lecture Notes in Computer Science (including subseries Lecture Notes in
Artificial Intelligence and Lecture Notes in Bioinformatics), Springer, Cham, LNCS, vol. 11878, 169–178, https://doi.org/10.1007/978-3-030-40907-4_17, 2020.
Chollet, F.: Keras: The Python Deep Learning library, GitHub [code],
https://keras.io (last access: 20 April 2022), 2015.
Ciarletta, D. J., Shawler, J. L., Tenebruso, C., Hein, C. J., and
Lorenzo-Trueba, J.: Reconstructing Coastal Sediment Budgets From Beach- and
Foredune-Ridge Morphology: A Coupled Field and Modeling Approach, J.
Geophys. Res.-Earth Surf., 124, 1398–1416,
https://doi.org/10.1029/2018JF004908, 2019.
Clark, P. U., Dyke, A. S., Shakun, J. D., Carlson, A. E., Clark, J.,
Wohlfarth, B., Mitrovica, J. X., Hostetler, S. W., and McCabe, A. M.: The
Last Glacial Maximum, Science, 325, 710–714,
https://doi.org/10.1126/science.1172873, 2009.
Colman, S. M., Jones, G. A., Rubin, M., King, J. W., Peck, J. A., and Orem,
W. H.: AMS radiocarbon analyses from Lake Baikal, Siberia: Challenges of
dating sediments from a large, oligotrophic lake, Quat. Sci. Rev., 15,
669–684, https://doi.org/10.1016/0277-3791(96)00027-3, 1996.
Corner, G. D., Kolka, V. V., Yevzerov, V. Y., and Møller, J. J.:
Postglacial relative sea-level change and stratigraphy of raised coastal
basins on Kola Peninsula, northwest Russia, Glob. Planet. Change, 31,
155–177, https://doi.org/10.1016/S0921-8181(01)00118-7, 2001.
Courtin, J., Andreev, A. A., Raschke, E., Bala, S., Biskaborn, B. K., Liu,
S., Zimmermann, H., Diekmann, B., Stoof-Leichsenring, K. R., Pestryakova, L.
A., and Herzschuh, U.: Vegetation Changes in Southeastern Siberia During the
Late Pleistocene and the Holocene, Front. Ecol. Evol., 9, 233,
https://doi.org/10.3389/fevo.2021.625096, 2021.
Cremer, H., Wagner, B., Melles, M., and Hubberten, H. W.: The postglacial
environmental development of Raffles Sø, East Greenland: Inferences from
a 10,000 year diatom record, J. Paleolimnol., 26, 67–87,
https://doi.org/10.1023/A:1011179321529, 2001a.
Cremer, H., Wagner, B., Melles, M., and Hubberten, H.-W.: (Table 1) Age determination of sediment profile PG1214, PANGAEA [data set], https://doi.org/10.1594/PANGAEA.734137, 2001b.
Dask Development Team: Dask: Library for dynamic task scheduling, GitHub [code], https://dask.org (last access: 20 April 2022), 2016.
Dee, M. W., Palstra, S. W. L., Aerts-Bijma, A. T., Bleeker, M. O., De
Bruijn, S., Ghebru, F., Jansen, H. G., Kuitems, M., Paul, D., Richie, R. R.,
Spriensma, J. J., Scifo, A., Van Zonneveld, D., Verstappen-Dumoulin, B. M.
A. A., Wietzes-Land, P., and Meijer, H. A. J.: Radiocarbon Dating at
Groningen: New and Updated Chemical Pretreatment Procedures, Radiocarbon,
62, 63–74, https://doi.org/10.1017/RDC.2019.101, 2020.
Diekmann, B., Pestryakova, L., Nazarova, L., Subetto, D. A., Tarasov, P. E.,
Stauch, G., Thiemann, A., Lehmkuhl, F., Biskaborn, B. K., Kuhn, G., Henning,
D., and Müller, S.: Late Quaternary Lake Dynamics in the Verkhoyansk
Mountains of Eastern Siberia: Implications for Climate and Glaciation
History, Polarforschung, 86, 97–110,
https://doi.org/10.2312/polarforschung.86.2.97, 2017.
Diepenbroek, M., Grobe, H., Reinke, M., Schindler, U., Schlitzer, R.,
Sieger, R., and Wefer, G.: PANGAEA – an information system for environmental
sciences, Comput. Geosci., 28, 1201–1210,
https://doi.org/10.1016/S0098-3004(02)00039-0, 2002.
Dirksen, V., Dirksen, O., van den Bogaard, C., and Diekmann, B.: Holocene
pollen record from Lake Sokoch, interior Kamchatka (Russia), and its
paleobotanical and paleoclimatic interpretation, Glob. Planet. Change, 134,
129–141, https://doi.org/10.1016/j.gloplacha.2015.07.010, 2015.
Dolman, A. M.: hamstr: Hierarchical Accumulation Modelling with Stan and R, GitHub [code], https://github.com/EarthSystemDiagnostics/hamstr, last access: 20 April 2022.
Finkenbinder, M. S., Abbott, M. B., Finney, B. P., Stoner, J. S., and
Dorfman, J. M.: A multi-proxy reconstruction of environmental change
spanning the last 37 000 years from Burial Lake, Arctic Alaska, Quat. Sci.
Rev., 126, 227–241, https://doi.org/10.1016/j.quascirev.2015.08.031, 2015.
Fujiwara, H., Hajek, J., and Till, O.: Octave Forge - The “parallel”
package, Octave Forge [code], https://octave.sourceforge.io/parallel/index.html (last access: 20 April 2022), 2021.
Gaujoux, R.: doRNG: Generic Reproducible Parallel Backend for “foreach”
Loops, R CRAN [code], https://cran.r-project.org/package=doRNG (last access: 20 April 2022), 2020.
Goring, S., Williams, J. W., Blois, J. L., Jackson, S. T., Paciorek, C. J.,
Booth, R. K., Marlon, J. R., Blaauw, M., and Christen, J. A.: Deposition
times in the northeastern United States during the Holocene: Establishing
valid priors for Bayesian age models, Quat. Sci. Rev., 48, 54–60,
https://doi.org/10.1016/j.quascirev.2012.05.019, 2012.
Gromig, R., Wagner, B., Wennrich, V., Fedorov, G., Savelieva, L., Lebas, E.,
Krastel, S., Brill, D., Andreev, A., Subetto, D., and Melles, M.:
Deglaciation history of Lake Ladoga (northwestern Russia) based on varved
sediments, Boreas, 48, 330–348, https://doi.org/10.1111/bor.12379, 2019.
Hajdas, I., Ascough, P., Garnett, M. H., Fallon, S. J., Pearson, C. L.,
Quarta, G., Spalding, K. L., Yamaguchi, H., and Yoneda, M.: Radiocarbon
dating, Nat. Rev. Methods Prim., 1, 62,
https://doi.org/10.1038/s43586-021-00058-7, 2021.
Harris, C. R., Millman, K. J., van der Walt, S. J., Gommers, R., Virtanen,
P., Cournapeau, D., Wieser, E., Taylor, J., Berg, S., Smith, N. J., Kern,
R., Picus, M., Hoyer, S., van Kerkwijk, M. H., Brett, M., Haldane, A., del
Río, J. F., Wiebe, M., Peterson, P., Gérard-Marchant, P., Sheppard,
K., Reddy, T., Weckesser, W., Abbasi, H., Gohlke, C., and Oliphant, T. E.:
Array programming with NumPy, Nature, 585, 357–362,
https://doi.org/10.1038/s41586-020-2649-2, 2020.
Haslett, J. and Parnell, A.: A simple monotone process with application to
radiocarbon-dated depth chronologies, J. R. Stat. Soc. Ser. C Appl. Stat.,
57, 399–418, https://doi.org/10.1111/j.1467-9876.2008.00623.x, 2008.
Heaton, T. J., Köhler, P., Butzin, M., Bard, E., Reimer, R. W., Austin,
W. E. N., Bronk Ramsey, C., Grootes, P. M., Hughen, K. A., Kromer, B.,
Reimer, P. J., Adkins, J., Burke, A., Cook, M. S., Olsen, J., and Skinner,
L. C.: Marine20 – The Marine Radiocarbon Age Calibration Curve (0–55 000 cal BP), Radiocarbon, 62, 779–820, https://doi.org/10.1017/RDC.2020.68, 2020.
Hoff, U., Dirksen, O., Dirksen, V., Herzschuh, U., Hubberten, H. W., Meyer,
H., van den Bogaard, C., and Diekmann, B.: Late Holocene diatom assemblages
in a lake-sediment core from Central Kamchatka, Russia, J. Paleolimnol., 47,
549–560, https://doi.org/10.1007/s10933-012-9580-y, 2012.
Hoff, U., Biskaborn, B. K., Dirksen, V. G., Dirksen, O., Kuhn, G., Meyer,
H., Nazarova, L., Roth, A., and Diekmann, B.: Holocene environment of
Central Kamchatka, Russia: Implications from a multi-proxy record of
Two-Yurts Lake, Glob. Planet. Change, 134, 101–117,
https://doi.org/10.1016/j.gloplacha.2015.07.011, 2015.
Hogg, A. G., Heaton, T. J., Hua, Q., Palmer, J. G., Turney, C. S. M.,
Southon, J., Bayliss, A., Blackwell, P. G., Boswijk, G., Bronk Ramsey, C.,
Pearson, C., Petchey, F., Reimer, P., Reimer, R., and Wacker, L.: SHCal20
Southern Hemisphere Calibration, 0–55 000 Years cal BP, Radiocarbon, 62,
759–778, https://doi.org/10.1017/RDC.2020.59, 2020.
Hollaway, M. J., Henrys, P. A., Killick, R., Leeson, A., and Watkins, J.:
Evaluating the ability of numerical models to capture important shifts in
environmental time series: A fuzzy change point approach, Environ. Model.
Softw., 139, 104993, https://doi.org/10.1016/j.envsoft.2021.104993, 2021.
Hughes-Allen, L., Bouchard, F., Hatté, C., Meyer, H., Pestryakova, L.
A., Diekmann, B., Subetto, D. A., and Biskaborn, B. K.: 14 000-year Carbon
Accumulation Dynamics in a Siberian Lake Reveal Catchment and Lake
Productivity Changes, Front. Earth Sci., 9, 1–19,
https://doi.org/10.3389/feart.2021.710257, 2021.
Joblib Development Team: Joblib: running Python functions as pipeline jobs, PyPI [code], https://joblib.readthedocs.io/ (last access: 20 April 2022), 2020.
Khazin, L. B., Khazina, I. V., Krivonogov, S. K., Kuzmin, Y. V., Prokopenko,
A. A., Yi, S., and Burr, G. S.: Holocene climate changes in southern West
Siberia based on ostracod analysis, Russ. Geol. Geophys., 57, 574–585,
https://doi.org/10.1016/j.rgg.2015.05.012, 2016.
Killick, R. and Eckley, I. A.: changepoint: An R Package for Changepoint
Analysis, J. Stat. Softw., 58, 1–19, 2014.
Killick, R., Haynes, K., and Eckley, I. A.: changepoint: An R package for
changepoint analysis, R CRAN [code], https://cran.r-project.org/package=changepoint (last access: 20 April 2022), 2016.
Kluyver, T., Ragan-Kelley, B., Pérez, F., Granger, B., Bussonnier, M.,
Frederic, J., Kelley, K., Hamrick, J., Grout, J., Corlay, S., Ivanov, P.,
Avila, D., Abdalla, S., and Willing, C.: Jupyter Notebooks – a publishing
format for reproducible computational workflows, in: Positioning and Power
in Academic Publishing: Players, Agents and Agendas, IOS Press, 87–90, https://doi.org/10.3233/978-1-61499-649-1-87, 2016.
Kokorowski, H. D., Anderson, P. M., Mock, C. J., and Lozhkin, A. V.: A
re-evaluation and spatial analysis of evidence for a Younger Dryas climatic
reversal in Beringia, Quat. Sci. Rev., 27, 1710–1722,
https://doi.org/10.1016/j.quascirev.2008.06.010, 2008.
Kolka, V. V., Korsakova, O. P., Shelekhova, T. S., and Tolstobrova, A. N.: Reconstruction of the relative level of the White Sea
during the Lateglacial – Holocene according to lithological, diatom
analyses and radiocarbon dating of small lakes bottom sediments in the area
of the Chupa settlement (North Karelia, Russia), Murmansk State Technical University, Vestnik of MSTU, 18, 255–268, 2015.
Kolka, V. V., Korsakova, O. P., Lavrova, N. B., Shelekhova, T. S.,
Tolstobrova, A. N., Tolstobrov, D. S., and Zaretskaya, N. E.: Small lakes
bottom sediments stratigraphy and paleogeography of the Onega Bay west coast
of the White Sea in the Late Glacial and Holocene, Geomorphology, 2018, 48–59, https://doi.org/10.7868/S0435428118020049, 2018.
Kublitskiy, Y., Kulkova, M., Druzhinina, O., Subetto, D.,
Stančikaitė, M., Gedminienė, L., and Arslanov, K.: Geochemical
Approach to the Reconstruction of Sedimentation Processes in Kamyshovoye
Lake (SE Baltic, Russia) during the Late Glacial and Holocene, Minerals, 10, 764, https://doi.org/10.3390/min10090764, 2020.
Lacourse, T. and Gajewski, K.: Current practices in building and reporting
age-depth models, Quat. Res., 96, 28–38, https://doi.org/10.1017/qua.2020.47, 2020.
Lehnherr, I., St Louis, V. L., Sharp, M., Gardner, A. S., Smol, J. P.,
Schiff, S. L., Muir, D. C. G., Mortimer, C. A., Michelutti, N., Tarnocai,
C., St Pierre, K. A., Emmerton, C. A., Wiklund, J. A., Köck, G.,
Lamoureux, S. F., and Talbot, C. H.: The world's largest High Arctic lake
responds rapidly to climate warming, Nat. Commun., 9, 1–9,
https://doi.org/10.1038/s41467-018-03685-z, 2018.
Lougheed, B. C. and Obrochta, S. P.: A Rapid, Deterministic Age-Depth
Modeling Routine for Geological Sequences With Inherent Depth Uncertainty,
Paleoceanogr. Paleocl., 34, 122–133,
https://doi.org/10.1029/2018PA003457, 2019.
Lougheed, B. C., Van Der Lubbe, H. J. L., and Davies, G. R.: 87Sr/86Sr as a quantitative geochemical proxy for 14C reservoir age in dynamic, brackish waters: Assessing applicability and quantifying uncertainties, Geophys. Res. Lett., 43, 735–742, https://doi.org/10.1002/2015GL066983, 2016.
Lowe, J. J. and Walker, M.: Reconstructing Quaternary Environments,
Routledge, https://doi.org/10.4324/9781315797496, 2014.
Lozhkin, A., Minyuk, P., Cherepanova, M., Anderson, P., and Finney, B.:
Holocene environments of central Iturup Island, southern Kuril archipelago,
Russian Far East, Quat. Res. (USA), 88, 23–38, https://doi.org/10.1017/qua.2017.21, 2017.
Lozhkin, A., Anderson, P., Minyuk, P., Korzun, J., Brown, T., Pakhomov, A.,
Tsygankova, V., Burnatny, S., and Naumov, A.: Implications for conifer
glacial refugia and postglacial climatic variation in western Beringia from
lake sediments of the Upper Indigirka basin, Boreas, 47, 938–953,
https://doi.org/10.1111/bor.12316, 2018.
Lozhkin, A., Cherepanova, M., Anderson, P., Minyuk, P., Finney, B.,
Pakhomov, A., Brown, T., Korzun, J., and Tsigankova, V.: Late Holocene
history of Tokotan Lake (Kuril Archipelago, Russian Far East): The use of
lacustrine records for paleoclimatic reconstructions from geologically
dynamic settings, Quat. Int., 553, 104–117,
https://doi.org/10.1016/j.quaint.2020.05.023, 2020.
Mackay, A. W., Bezrukova, E. V., Leng, M. J., Meaney, M., Nunes, A.,
Piotrowska, N., Self, A., Shchetnikov, A., Shilland, E., Tarasov, P., Wang,
L., and White, D.: Aquatic ecosystem responses to Holocene climate change
and biome development in boreal, central Asia, Quat. Sci. Rev., 41,
119–131, https://doi.org/10.1016/j.quascirev.2012.03.004, 2012.
Martin, H., Schmid, C., Knitter, D., and Tietze, C.: oxcAAR: Interface to
“OxCal” Radiocarbon Calibration, R CRAN [code],
https://cran.r-project.org/package=oxcAAR (last access: 20 April 2022), 2021.
McKay, N. P., Emile-Geay, J., and Khider, D.: geoChronR – an R package to model, analyze, and visualize age-uncertain data, Geochronology, 3, 149–169, https://doi.org/10.5194/gchron-3-149-2021, 2021.
Microsoft Corporation and Weston, S.: doParallel: Foreach Parallel Adaptor
for the “parallel” Package, R CRAN [code],
https://cran.r-project.org/package=doParallel (last access: 20 April 2022), 2020a.
Microsoft Corporation and Weston, S.: doSNOW: Foreach Parallel Adaptor for
the “snow” Package, R CRAN [code], https://cran.r-project.org/package=doSNOW (last access: 20 April 2022), 2020b.
Microsoft Corporation and Weston, S.: foreach: Provides Foreach Looping
Construct, R CRAN [code], https://cran.r-project.org/package=foreach (last access: 20 April 2022), 2020c.
Müller, S., Tarasov, P. E., Andreev, A. A., and Diekmann, B.: (Table 2) Radiocarbon dates from Lake Billyakh, PANGAEA [data set], https://doi.org/10.1594/PANGAEA.708169, 2008.
Müller, S., Tarasov, P. E., Andreev, A. A., and Diekmann, B.: Late Glacial to Holocene environments in the present-day coldest region of the Northern Hemisphere inferred from a pollen record of Lake Billyakh, Verkhoyansk Mts, NE Siberia, Clim. Past, 5, 73–84, https://doi.org/10.5194/cp-5-73-2009, 2009.
Müller, S., Tarasov, P. E., Andreev, A. A., Tütken, T., Gartz, S.,
and Diekmann, B.: Late Quaternary vegetation and environments in the
Verkhoyansk Mountains region (NE Asia) reconstructed from a 50-kyr fossil
pollen record from Lake Billyakh, Quat. Sci. Rev., 29, 2071–2086,
https://doi.org/10.1016/j.quascirev.2010.04.024, 2010.
Nazarova, L., Lüpfert, H., Subetto, D., Pestryakova, L., and Diekmann,
B.: Holocene climate conditions in central Yakutia (Eastern Siberia)
inferred from sediment composition and fossil chironomids of Lake Temje,
Quat. Int., 290–291, 264–274,
https://doi.org/10.1016/j.quaint.2012.11.006, 2013a.
Nazarova, L. B., Lüpfert, H., Subetto, D. A., Pestryakova, L. A., and Diekmann, B.: (Table 1) Radiocarbon dates from the Lake Temje sediment core, PANGAEA [data set], https://doi.org/10.1594/PANGAEA.802677, 2013b.
Niephaus, F., Felgentreff, T., and Hirschfeld, R.: Towards polyglot adapters
for the GraalVM, ACM Int. Conf. Proceeding Ser., 1–4 April 2019, Genova, Italy, https://doi.org/10.1145/3328433.3328458, 2019.
Nowaczyk, N. R., Minyuk, P., Melles, M., Brigham-Grette, J., Glushkova, O.,
Nolan, M., Lozhkin, A. V., Stetsenko, T. V., Andersen, P. M., and Forman, S.
L.: Magnetostratigraphic results from impact crater Lake El'gygytgyn,
northeastern Siberia: a 300 kyr long high-resolution terrestrial
palaeoclimatic record from the Arctic, Geophys. J. Int., 150, 109–126,
https://doi.org/10.1046/j.1365-246X.2002.01625.x, 2002.
Olsen, J., Ascough, P., Lougheed, B. C., and Rasmussen, P.: Radiocarbon
Dating in Estuarine Environments, in: Applications of Paleoenvironmental Techniques in Estuarine Studies, Developments in Paleoenvironmental Research, edited by: Weckström, K., Saunders, K., Gell, P., and Skilbeck, C., Springer, Dordrecht, vol. 20, 141–170, https://doi.org/10.1007/978-94-024-0990-1_7, 2017.
Palagushkina, O., Wetterich, S., Biskaborn, B. K., Nazarova, L.,
Schirrmeister, L., Lenz, J., Schwamborn, G., and Grosse, G.: Diatom records
and tephra mineralogy in pingo deposits of Seward Peninsula, Alaska,
Palaeogeogr. Palaeoclimatol. Palaeoecol., 479, 1–15,
https://doi.org/10.1016/j.palaeo.2017.04.006, 2017.
Parnell, A. C., Haslett, J., Allen, J. R. M., Buck, C. E., and Huntley, B.:
A flexible approach to assessing synchroneity of past events using Bayesian
reconstructions of sedimentation history, Quat. Sci. Rev., 27, 1872–1885,
https://doi.org/10.1016/j.quascirev.2008.07.009, 2008.
Parnell, A. C., Buck, C. E., and Doan, T. K.: A review of statistical
chronology models for high-resolution, proxy-based Holocene
palaeoenvironmental reconstruction, Quat. Sci. Rev., 30, 2948–2960,
https://doi.org/10.1016/j.quascirev.2011.07.024, 2011.
Peng, B., Wang, G., Ma, J., Leong, M. C., Wakefield, C., Melott, J., Chiu,
Y., Du, D., and Weinstein, J. N.: SoS notebook: An interactive
multi-language data analysis environment, Bioinformatics, 34, 3768–3770,
https://doi.org/10.1093/bioinformatics/bty405, 2018.
Pfalz, G.: GPawi/LANDO: LANDO public release v1.3, Zenodo [code],
https://doi.org/10.5281/zenodo.5734333, 2022.
Pfalz, G., Diekmann, B., Freytag, J.-C., and Biskaborn, B. K.: Computers and
Geosciences Harmonizing heterogeneous multi-proxy data from lake systems,
Comput. Geosci., 153, 104791, https://doi.org/10.1016/j.cageo.2021.104791, 2021.
Piotrowska, N., Bluszcz, A., Demske, D., Granoszewski, W., and Heumann, G.:
Extraction and AMS Radiocarbon Dating of Pollen from Lake Baikal Sediments,
Radiocarbon, 46, 181–187, https://doi.org/10.1017/S0033822200039503, 2004.
Piotrowska, N., Bluszcz, A., Demske, D., Granoszewski, W., and Heumann, G.: Age determination of Lake Baikal sediment cores, PANGAEA [data set], https://doi.org/10.1594/PANGAEA.856103, 2005.
Pisaric, M. F. J., MacDonald, G. M., Velichko, A. A., and Cwynar, L. C.: The
Lateglacial and Postglacial vegetation history of the northwestern limits of
Beringia, based on pollen, stomate and tree stump evidence, Quat. Sci. Rev.,
20, 235–245, https://doi.org/10.1016/S0277-3791(00)00120-7, 2001.
Raab, A., Melles, M., Berger, G. W., Hagedorn, B., and Hubberten, H. W.:
Non-glacial paleoenvironments and the extent of Weichselian ice sheets on
Severnaya Zemlya, Russian High Arctic, Quat. Sci. Rev., 22, 2267–2283,
https://doi.org/10.1016/S0277-3791(03)00139-2, 2003.
Rasmussen, S. O., Andersen, K. K., Svensson, A. M., Steffensen, J. P.,
Vinther, B. M., Clausen, H. B., Siggaard-Andersen, M. L., Johnsen, S. J.,
Larsen, L. B., Dahl-Jensen, D., Bigler, M., Röthlisberger, R., Fischer,
H., Goto-Azuma, K., Hansson, M. E., and Ruth, U.: A new Greenland ice core
chronology for the last glacial termination, J. Geophys. Res.-Atmos., 111,
1–16, https://doi.org/10.1029/2005JD006079, 2006.
R Core Team: R: A Language and Environment for Statistical Computing, R CRAN [code], https://www.r-project.org/ (last access: 20 April 2022), 2021.
Reback, J., McKinney, W., jbrockmendel, Bossche, J. Van den, Augspurger, T.,
Cloud, P., gfyoung, Sinhrks, Hawkins, S., Roeschke, M., Klein, A., Petersen,
T., Tratner, J., She, C., Ayd, W., Naveh, S., Garcia, M., Schendel, J.,
Hayden, A., Saxton, D., Jancauskas, V., McMaster, A., Battiston, P.,
Seabold, S., patrick, Dong, K., chris-b1, h-vetinari, Hoyer, S., and
Gorelli, M.: pandas-dev/pandas: Pandas 1.1.5, Zenodo [code],
https://doi.org/10.5281/zenodo.4309786, 2020.
Reimer, P. J., Austin, W. E. N., Bard, E., Bayliss, A., Blackwell, P. G.,
Bronk Ramsey, C., Butzin, M., Cheng, H., Edwards, R. L., Friedrich, M.,
Grootes, P. M., Guilderson, T. P., Hajdas, I., Heaton, T. J., Hogg, A. G.,
Hughen, K. A., Kromer, B., Manning, S. W., Muscheler, R., Palmer, J. G.,
Pearson, C., van der Plicht, J., Reimer, R. W., Richards, D. A., Scott, E.
M., Southon, J. R., Turney, C. S. M., Wacker, L., Adolphi, F., Büntgen,
U., Capano, M., Fahrni, S. M., Fogtmann-Schulz, A., Friedrich, R.,
Köhler, P., Kudsk, S., Miyake, F., Olsen, J., Reinig, F., Sakamoto, M.,
Sookdeo, A., and Talamo, S.: The Intcal20 Northern Hemisphere Radiocarbon
Age Calibration Curve (0–55 cal kBP), Radiocarbon, 62, 1–33,
https://doi.org/10.1017/RDC.2020.41, 2020.
Rethemeyer, J., Gierga, M., Heinze, S., Stolz, A., Wotte, A.,
Wischhöfer, P., Berg, S., Melchert, J., and Dewald, A.: Current Sample
Preparation and Analytical Capabilities of the Radiocarbon Laboratory at
CologneAMS, Radiocarbon, 61, 1449–1460,
https://doi.org/10.1017/rdc.2019.16, 2019.
Rudaya, N.: Radiocarbon dates of sediment core Tel2006 Lake Teletskoye, Altai Mountains, south-eastern West Siberia, Russia, PANGAEA [data set], https://doi.org/10.1594/PANGAEA.914417, 2020.
Rudaya, N., Nazarova, L., Nourgaliev, D., Palagushkina, O., Papin, D., and
Frolova, L.: Mid-late Holocene environmental history of Kulunda, southern
West Siberia: vegetation, climate and humans, Quat. Sci. Rev., 48, 32–42,
https://doi.org/10.1016/j.quascirev.2012.06.002, 2012.
Rudaya, N., Nazarova, L., Novenko, E., Andreev, A., Kalugin, I., Daryin, A.,
Babich, V., Li, H. C., and Shilov, P.: Quantitative reconstructions of mid-
to late holocene climate and vegetation in the north-eastern altai mountains
recorded in lake teletskoye, Glob. Planet. Change, 141, 12–24,
https://doi.org/10.1016/j.gloplacha.2016.04.002, 2016.
Rudaya, N., Nazarova, L., Frolova, L., Palagushkina, O., Soenov, V., Cao,
X., Syrykh, L., Grekov, I., Otgonbayar, D., and Bayarkhuu, B.: The link
between climate change and biodiversity of lacustrine inhabitants and
terrestrial plant communities of the Uvs Nuur Basin (Mongolia) during the
last three millennia, Holocene, 31, 1443–1458,
https://doi.org/10.1177/09596836211019093, 2021.
Savelieva, L. A., Andreev, A. A., Gromig, R., Subetto, D. A., Fedorov, G.
B., Wennrich, V., Wagner, B., and Melles, M.: Vegetation and climate changes
in northwestern Russia during the Lateglacial and Holocene inferred from the
Lake Ladoga pollen record, Boreas, 48, 349–360, https://doi.org/10.1111/bor.12376,
2019.
Schleusner, P., Biskaborn, B. K., Kienast, F., Wolter, J., Subetto, D., and
Diekmann, B.: Basin evolution and palaeoenvironmental variability of the
thermokarst lake El'gene-Kyuele, Arctic Siberia, 44, 216–229,
https://doi.org/10.1111/bor.12084, 2015.
Shelekhova, T. and Lavrova, N.: Paleogeographic reconstructions of the
Northwest Karelia region evolution in the holocene based on the study of
small lake sediments, Proc. Karelian Res. Cent. Russ. Acad. Sci., 101, 101–122, https://doi.org/10.17076/lim1268, 2020.
Shelekhova, T. S., Tikhonova, Y. S., and Lazareva, O. V.: Late Glacial and Holocene Natural Environment Dynamics and Evolution of Lake Okunozero, South Karelia: Micropalaeontological Data, Proc. Karelian Res. Cent. Russ. Acad. Sci., 55, 134, https://doi.org/10.17076/lim1319, 2021a.
Shelekhova, T. S., Lavrova, N. B., Lazareva, O. V., and Tikhonova, Y. S.:
Paleogeographic Conditions Of Sedimentation In The Small Lakes Of Western
Karelia In The Holocene, in: Routes Of Evolutionary Geography – Issue 2, Institute of Geography RAS, 449–454, ISBN 978-5-89658-074-4, 2021b.
Shelekhova, T. S., Lavrova, N. B., and Subetto, D. A.: Reconstruction of
paleogeographic conditions in the Late Glacial-Holocene in Central Karelia
based on comprehensive analysis of sediments from the lake Yuzhnoe
Haugilampi, 153, 73–89, https://doi.org/10.31857/S0869607121060070, 2021c.
Smol, J. P.: Arctic and Sub-Arctic shallow lakes in a multiple-stressor
world: a paleoecological perspective, Hydrobiologia, 778, 253–272,
https://doi.org/10.1007/s10750-015-2543-3, 2016.
Strunk, A., Olsen, J., Sanei, H., Rudra, A., and Larsen, N. K.: Improving
the reliability of bulk sediment radiocarbon dating, Quat. Sci. Rev., 242,
106442, https://doi.org/10.1016/j.quascirev.2020.106442, 2020.
Subetto, D. A., Nazarova, L. B., Pestryakova, L. A., Syrykh, L. S.,
Andronikov, A. V., Biskaborn, B., Diekmann, B., Kuznetsov, D. D., Sapelko,
T. V., and Grekov, I. M.: Paleolimnological studies in Russian northern
Eurasia: A review, Contemp. Probl. Ecol., 10, 327–335,
https://doi.org/10.1134/S1995425517040102, 2017.
Syrykh, L., Subetto, D., and Nazarova, L.: Paleolimnological studies on the
East European Plain and nearby regions: the PaleoLake Database, J.
Paleolimnol., 65, 369–375, https://doi.org/10.1007/s10933-020-00172-8, 2021.
Telford, R. J., Heegaard, E., and Birks, H. J. B.: The intercept is a poor
estimate of a calibrated radiocarbon age, Holocene, 14, 296–298,
https://doi.org/10.1191/0959683604hl707fa, 2004.
Thanos, C.: Research Data Reusability: Conceptual Foundations, Barriers and
Enabling Technologies, 5, 2, https://doi.org/10.3390/publications5010002, 2017.
Tolstobrov, D., Tolstobrova, A., Kolka, V., Korsakova, O., and Subetto, D.:
Putative Records Of The Holocene Tsunami In Lacustrine Bottom Sediments Near
The Teriberka Settlement (Kola Peninsula, Russia), Proc. Karelian Res. Cent.
Russ. Acad. Sci., 6, 92, https://doi.org/10.17076/lim865, 2018.
Tolstobrova, A., Tolstobrov, D., Kolka, V., and Korsakova, O.: Late Glacial
And Postglacial History Of Lake Osinovoye (Kola Region) Inferred From
Ssdimentary Diatom Assemblages, Proc. Karelian Res. Cent. Russ. Acad. Sci.,
89, 106, https://doi.org/10.17076/lim305, 2016.
Trachsel, M. and Telford, R. J.: All age–depth models are wrong, but are
getting better, Holocene, 27, 860–869, https://doi.org/10.1177/0959683616675939,
2017.
von Hippel, B., Stoof-Leichsenring, K. R., Schulte, L., Seeber, P.,
Biskaborn, B. K., Diekmann, B., Melles, M., Pestryakova, L., and Herzschuh,
U.: Long-term fungus–plant co-variation from multi-site sedimentary ancient
DNA metabarcoding in Siberia, bioRxiv, 1–31 pp.,
https://doi.org/10.1101/2021.11.05.465756, 2021.
Vyse, S. A., Herzschuh, U., Andreev, A. A., Pestryakova, L. A., Diekmann,
B., Armitage, S. J., and Biskaborn, B. K.: Geochemical and sedimentological
responses of arctic glacial Lake Ilirney, chukotka (far east Russia) to
palaeoenvironmental change since ∼ 51.8 ka BP, Quat. Sci.
Rev., 247, 106607, https://doi.org/10.1016/j.quascirev.2020.106607, 2020a.
Vyse, S. A., Herzschuh, U., Andreev, A. A., Pestryakova, L. A., Diekmann, B., Armitage, S., and Biskaborn, B. K.: Age determination of sediment core EN18208 from Lake Ilirney, Chukotka, far east Russia, PANGAEA [data set], https://doi.org/10.1594/PANGAEA.921228, 2020b.
Vyse, S. A., Herzschuh, U., Pfalz, G., Pestryakova, L. A., Diekmann, B., Nowaczyk, N., and Biskaborn, B. K.: Sediment and carbon accumulation in a glacial lake in Chukotka (Arctic Siberia) during the Late Pleistocene and Holocene: combining hydroacoustic profiling and down-core analyses, Biogeosciences, 18, 4791–4816, https://doi.org/10.5194/bg-18-4791-2021, 2021.
Wagner, B., Melles, M., Hahne, J., Niessen, F., and Hubberten, H.-W.:
Holocene climate history of Geographical Society Ø, East Greenland –
evidence from lake sediments, Palaeogeogr. Palaeoclimatol. Palaeoecol., 160,
45–68, https://doi.org/10.1016/S0031-0182(00)00046-8, 2000a.
Wagner, B., Melles, M., Hahne, J., Niessen, F., and Hubberten, H.-W.: (Table 1) Age determination of sediment core PG1205, PANGAEA [data set], https://doi.org/10.1594/PANGAEA.734962, 2000b.
Walker, M., Johnsen, S., Rasmussen, S. O., Steffensen, J.-P., Popp, T.,
Gibbard, P., Hoek, W., Lowe, J., Andrews, J., Björck, S., Cwynar, L.,
Hughen, K., Kershaw, P., Kromer, B., Litt, T., Lowe, D. J., Nakagawa, T.,
Newnham, R., and Schwander, J.: The Global Stratotype Section and Point
(GSSP) for the base of the Holocene Series/Epoch (Quaternary System/Period)
in the NGRIP ice core, Episodes, 31, 264–267,
https://doi.org/10.18814/epiiugs/2008/v31i2/016, 2008.
Wickham, H., Averick, M., Bryan, J., Chang, W., McGowan, L., François,
R., Grolemund, G., Hayes, A., Henry, L., Hester, J., Kuhn, M., Pedersen, T.,
Miller, E., Bache, S., Müller, K., Ooms, J., Robinson, D., Seidel, D.,
Spinu, V., Takahashi, K., Vaughan, D., Wilke, C., Woo, K., and Yutani, H.:
Welcome to the Tidyverse, J. Open Source Softw., 4, 1686,
https://doi.org/10.21105/joss.01686, 2019.
Wolfe, A. P.: A high-resolution late-glacial and early Holocene diatom
record from Baffin Island, eastern Canadian Arctic, Can. J. Earth Sci., 33,
928–937, https://doi.org/10.1139/e96-070, 1996.
Wolfe, B. B., Edwards, T. W. D., and Aravena, R.: Changes in carbon and
nitrogen cycling during tree-line retreat recorded in the isotopic content
of lacustrine organic matter, western Taimyr Peninsula, Russia, Holocene, 9, 215–222, https://doi.org/10.1191/095968399669823431, 1999.
Wright, A. J., Edwards, R. J., van de Plassche, O., Blaauw, M., Parnell, A.
C., van der Borg, K., de Jong, A. F. M., Roe, H. M., Selby, K., and Black,
S.: Reconstructing the accumulation history of a saltmarsh sediment core:
Which age-depth model is best?, Quat. Geochronol., 39, 35–67,
https://doi.org/10.1016/j.quageo.2017.02.004, 2017.
Zaharia, M., Xin, R. S., Wendell, P., Das, T., Armbrust, M., Dave, A., Meng,
X., Rosen, J., Venkataraman, S., Franklin, M. J., Ghodsi, A., Gonzalez, J.,
Shenker, S., and Stoica, I.: Apache spark: A unified engine for big data
processing, Commun. ACM, 59, 56–65, https://doi.org/10.1145/2934664, 2016.
Zander, P. D., Szidat, S., Kaufman, D. S., Żarczyński, M., Poraj-Górska, A. I., Boltshauser-Kaltenrieder, P., and Grosjean, M.: Miniature radiocarbon measurements (< 150 µg C) from sediments of Lake Żabińskie, Poland: effect of precision and dating density on age–depth models, Geochronology, 2, 63–79, https://doi.org/10.5194/gchron-2-63-2020, 2020.
Zhdanova, A. N., Solotchina, E. P., Solotchin, P. A., Krivonogov, S. K., and
Danilenko, I. V.: Reflection of Holocene climatic changes in mineralogy of
bottom sediments from Yarkovsky Pool of Lake Chany (southern West Siberia),
Russ. Geol. Geophys., 58, 692–701, https://doi.org/10.1016/j.rgg.2016.07.005, 2017.
Zolitschka, B., Francus, P., Ojala, A. E. K., and Schimmelmann, A.: Varves
in lake sediments – a review, Quat. Sci. Rev., 117, 1–41,
https://doi.org/10.1016/j.quascirev.2015.03.019, 2015.
Short summary
We use age–depth modeling systems to understand the relationship between age and depth in lake sediment cores. However, depending on which modeling system we use, the model results may vary. We provide a tool to link different modeling systems in an interactive computational environment and make their results comparable. We demonstrate the power of our tool by highlighting three case studies in which we test our application for single-sediment cores and a collection of multiple sediment cores.
We use age–depth modeling systems to understand the relationship between age and depth in lake...
