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The Holocene paleoenvironmental history of central European Russia reconstructed from pollen, plant macrofossil, and testate amoeba analyses of the Klukva Peatland, Tula Region

Published online by Cambridge University Press:  20 January 2017

Elena Yu. Novenko*
Affiliation:
M.V. Lomonosov Moscow State University, Faculty of Geography, Leninskie gory 1, 119991 Moscow, Russia Institute of Geography of Russian Academy of Science, Staromonetny lane, 29, 119017 Moscow, Russia
Andrey N. Tsyganov
Affiliation:
Penza State University, Department of Zoology and Ecology, Krasnaya str., 40, 440026 Penza, Russia
Elena M. Volkova
Affiliation:
Tula State University, Department of Biotechnology, Lenin avenue, 92, 300600 Tula, Russia
Kirill V. Babeshko
Affiliation:
Penza State University, Department of Zoology and Ecology, Krasnaya str., 40, 440026 Penza, Russia
Nikita V. Lavrentiev
Affiliation:
Institute of Geography of Russian Academy of Science, Staromonetny lane, 29, 119017 Moscow, Russia
Richard J. Payne
Affiliation:
Penza State University, Department of Zoology and Ecology, Krasnaya str., 40, 440026 Penza, Russia Environment Department, University of York, Heslington, York YO10 5DD, United Kingdom
Yuri A. Mazei
Affiliation:
Penza State University, Department of Zoology and Ecology, Krasnaya str., 40, 440026 Penza, Russia
*
*Corresponding author at: M.V. Lomonosov Moscow State University, Faculty of Geography, Leninskie gory 1, 119991, Moscow, Russia. Fax: + 7 495 932 88 36. E-mail addresses:[email protected] (E.Y. Novenko), [email protected] (A.N. Tsyganov), [email protected] (E.M. Volkova), [email protected] (N.V. Lavrentiev), [email protected] (Y.A. Mazei).

Abstract

Holocene climatic variability and human impact on vegetation are reconstructed from a region in central European Russia, which lies at an important ecotone between broadleaf forest and steppe. For the first time in this region we adopt a multi-proxy approach that combines analysis of local mire conditions from plant macrofossil and testate amoeba analyses with pollen-based quantitative climate reconstruction. The proxies indicate a long-term warming trend from 9700 to 7500 cal yr BP, interrupted by a series of short-term cold events. From 7500 to 5000 cal yr BP the results imply a relatively stable climate, warmer and drier than present, spanning the Holocene Thermal Maximum. Since 5000 cal yr BP the data suggest a change to cooler climate, but with centennial-scale variability. This shift at around 5000 cal yr BP is supported by extensive evidence from other sites. In the early Holocene, the region was occupied mainly by pine and birch forests. Broad-leafed forests of oak, lime and elm expanded after 7800 cal yr BP and remained dominant until the last few centuries. During the historical period, vegetation changes have been driven mainly by human activities.

Type
Original Articles
Copyright
University of Washington

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References

Aaby, B., and Digerfeldt, G. (1986). Sampling Techniques for Lakes and Bogs. Handbook of Holocene Palaeoecology and Palaeohydrology 181194.Google Scholar
Archeological map of Russia, (1999). Tula region, part 1. Krasnov, Yu.A. Institute of Archeology RAS - Pres, Moscow.(in Russian).Google Scholar
Aseev, A.A. (1959). Palaeogeography of the Middle and Lower Oka River Valley in Quaternary Period. USSR Academy of Science-Press, Moscow.(in Russian).Google Scholar
Barber, K.E. (1981). Peat Stratigraphy and Climate Change. A.A. Balkema, Rotterdam.Google Scholar
Behre, K.-E. (1988). The role of man in European vegetation history. Huntley, B., Webb III, T. Vegetation History 633672.CrossRefGoogle Scholar
Bennett, K.D. (1996). Determination of the number of zones in a biostratigraphical sequence. New Phytologist 132, 1 155170.CrossRefGoogle Scholar
Blaauw, M. (2010). Methods and code for “classical” age-modelling of radiocarbon sequences. Quaternary Geochronology 5, 512518.Google Scholar
Blackford, J.J. (2000). Palaeoclimate records from peat bogs. Trends in Ecology & Evolution 15, 193198.CrossRefGoogle Scholar
Blytt, A. (1876). Essay on the Immigration of the Norwegian Flora During Alternating Rainy and Dry Periods. Cammermeyer, Kristiana, .Google Scholar
Borisova, O., Sidorchuk, A., and Panin, A. (2006). Palaeohydrology of the Seim River basin, Mid-Russian Upland, based on palaeochannel morphology and palynological data. Catena 66, 5373.Google Scholar
Chambers, F.M., Booth, R.K., and De Vleeschouwer, F. (2012). Development and refinement of proxy " climate indicators from peats. Quaternary International 268, 2133.CrossRefGoogle Scholar
Charman, D.J. (2007). Summer water deficit variability controls on peatland water–table changes: implications for Holocene palaeoclimate reconstructions. The Holocene 17, 217227.CrossRefGoogle Scholar
Davis, B.A.S., Brewer, S., Stevenson, A.C.A., and Guiot, J. (2003). The temperature of Europe during the Holocene reconstructed from pollen data. Quaternary Science Reviews 22, 17011716.CrossRefGoogle Scholar
Dean, W. Jr. (1974). Determination of carbonate and organic matter in calcareous sediments and sedimentary rocks by loss on ignition: comparison with other methods. Journal of Sedimentary Petrology 44, 242248.Google Scholar
Dombrovskaya, A.V., Koreneva, M.M., and Turemnov, S.N. (1959). Atlas of Plant Remains in Peat. Nauka, Moscow-Leningrad.(in Russian).Google Scholar
Esper, J., Cook, E.R., and Schweingruber, F.H. (2002). Low-frequency signals in long treeline chronologies for reconstructing past temperature variability. Science 295, 22502253.CrossRefGoogle Scholar
Gribova, S.A., Isachenko, T.I., and Lavrenko, E.M. (1980). Vegetation of the European Part of the USSR. Nauka-Press, Leningrad.(in Russian).Google Scholar
Grichuk, V.P. (1940). Method of treatment of the sediments poor in organic remains for the pollen analysis. Problems of Physical Geography 8, 5358.(in Russian).Google Scholar
Grimm, E.C.A. (1987). CONISS: a FORTRAN 77 program for stratigraphically constrained cluster analysis by the method of incremental sum of squares. Computers & Geosciences 13, 1 1335.CrossRefGoogle Scholar
Grimm, E.C.A. (1990). TILIA and TILIA*GRAPH.PC spreadsheet and graphics software for pollen data. INQUA, working group on data-handling methods. Newsletter 4, 57.Google Scholar
Guiot, J. (1990). Methodology of the last climatic cycle reconstruction in France from pollen data. Palaeogeography, Palaeoclimatology, Palaeoecology 80, 4969.CrossRefGoogle Scholar
Hendon, D., and Charman, D.J. (1997). The preparation of testate amoeba (Protozoa: Rhizopoda) samples from peat. The Holocene 7, 2 199205.CrossRefGoogle Scholar
Juggins, S. (2012). rioja: Analysis of Quaternary Science Data. R package version 0.7-3http://cran.r-project.org/package=rioja.Google Scholar
Kaplan, J.O., Krumhardt, K.M., and Zimmermann, N. (2009). The prehistoric and preindustrial deforestation of Europe. Quaternary Science Reviews 28, 30163034.Google Scholar
Katz, N.Ya., Katz, S.V., and Skobeva, E.I. (1977). Atlas of Plant Remains in Peat. Nedra, Moscow.(736 pp. (in Russian)).Google Scholar
Khotinsky, N.A. (1993). Anthropogenic changes in the landscapes of the Russian Plain during the Holocene. Grana Suppl. 2 7074.CrossRefGoogle Scholar
Klimanov, V.A., and Serebryannaya, T.A. (1986). The change of vegetation and climate of the Mid-Russian Upland in the Holocene. USSR Academy of Sciences, Izvestiya, Seria Geografiya 2, 93101.(in Russian).Google Scholar
Krupenina, L.A. (1974). The age and conditions of sedimentation of floodplain deposits of the Rivers Seim and Krom. USSR Academy of Sciences, Izvestiya, Seria Geografiya 2, 8289.(in Russian).Google Scholar
Lamentowicz, M., Cedro, A., Gałka, M., Miotk-Szpiganowicz, G., Mitchell, E.A.D., Pawlyta, J., and Goslar, T. (2008). Last millennium palaeoenvironmental changes from a Baltic bog (Poland) inferred from stable isotopes, pollen, plant macrofossils and testate amoeba. Palaeogeography, Palaeoclimatology, Palaeoecology 265, 93106.Google Scholar
Lishtvan, I.I., and Korol, N.T. (1975). The Main Properties of Peat and Methods of its Determination. Nauka i Technika-Press, Minsk.(in Russian).Google Scholar
Lisitsyna, O.V., Giesecke, T., and Hicks, S. (2011). Exploring pollen percentage threshold values as an indication for the regional presence of major European trees. Review of Palaeobotany and Palynology 166, 311324.Google Scholar
Mann, M.E., Zhang, Z., and Rutherford, S. (2009). Global signatures and dynamical origins of the little ice age and medieval climate anomaly. Science 326, 12561260.CrossRefGoogle ScholarPubMed
Mauquoy, D., Yeloff, D., van Geel, B., Charman, D.J., and Blundell, A. (2008). Two decadally resolved records from north-west European peat bogs show rapid climate changes associated with solar variability during the mid–late Holocene. Journal of Quaternary Sciences 23, 745763.Google Scholar
Mayewski, P.A., Rohling, B.E., and Stager, G. (2004). Holocene climate variability. Quaternary Research 62, 3 243255.Google Scholar
Nakagawa, T., Tarasov, P., Kotoba, N., Gotanda, K., and Yasuda, Y. (2002). Quantitative pollen-based climate reconstruction in Japan: application to surface and late Quaternary spectra. Quaternary Science Reviews 21, 2 20992113.CrossRefGoogle Scholar
Novenko, E.Y., Volkova, E.M., Glasko, M.P., and Zuganova, I.S. (2012). Palaeoecological evidence for the middle and late Holocene vegetation, climate and land use in the upper Don River basin (Russia). Vegetation History and Archaeobotany 21, 337352.Google Scholar
Novenko, E.Yu., Eremeeva, A.P., and Chepurnaya, A.A. (2014). Reconstruction of Holocene vegetation, tree cover dynamics and human disturbances in central European Russia, using pollen and satellite data sets. Vegetation History and Archaeobotany 23, 109119.Google Scholar
Overpeck, J.T., Webb III, T., and Prentic, I.C.A. (1985). Quantitative interpretation of fossil pollen spectra: dissimilarity coefficients and the method of modern analogs. Quaternary Research 23, 87108.Google Scholar
Payne, R. (2009). The standard preparation method for testate amoebae leads to selective loss of the smallest shells. Quaternary Newsletter 119, 1620.Google Scholar
Payne, R.J., and Mitchell, E.A.D. (2009). How many is enough? Determining adequate count totals for ecological and palaeoecological studies of testate amoebae. Journal of Paleolimnology 42, 483495.Google Scholar
Piotrowska, N., Blaauw, M., Mauquoy, D., and Chambers, F.M. (2010/2011). Constructing deposition chronologies for peat deposits using radiocarbon dating. Mires and Peat 7, 10 (2010/2011). 114.Google Scholar
R Core Team., (2012). R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Austria, Vienna.Google Scholar
Reimer, P.J., Baillie, M.G.L., Bard, E., Bayliss, A., Beck, J.W., and Blackwell, P.G. (2009). IntCal09 and Marine09 radiocarbon age calibration curves, 0–50,000 years cal BP. Radiocarbon 51, 4 11111150.Google Scholar
Seppä, H., and Poska, A. (2004). Holocene annual mean temperature changes in Estonia and their relationship to solar insolation and atmospheric circulation patterns. Quaternary Research 61, 2231.Google Scholar
Serebryannaya, T.A. (1976). The relationships between forest and steppe on the Mid-Russian Upland in the Holocene. Dinesman, L.G. The History of Biogeocenoses of USSR in the Holocene Nauka, Moskow.5966.(in Russian).Google Scholar
Sernander, R. (1908). On the evidences of postglacial changes of climate furnished by the peat-mosses of Northern Europe. Geologiska Föreningen i Stockholm Förhandlingar 30, 465473.Google Scholar
Sidorchuk, A., Panin, A., and Borisova, O. (2012). River runoff decrease in North-Eurasian plains during the Holocene Optimum. Water Resources 39, 1 6981.CrossRefGoogle Scholar
Simpson, G.L., and Oksanen, J. (2012). Analogue: analogue matching and modern analogue technique transfer function models. (R package version 0.8-2)http://cran.r-project.org/package=analogue.Google Scholar
Smirnova, O.V., and Turubanova, S.A. (2004). Changes in species composition and distribution of main tree species (edificators) of forest since the late Pleistocene to late Holocene. Smirnova, O.V. Eastern European Forests: History in Holocene and Current State Nauka, Moskow.118133.(in Russian).Google Scholar
Swindles, G.T., Morris, P.J., and Baird, A.J. (2012). Ecohydrological feedbacks confound peat-based climate reconstructions. Geophysical Research Letters 39, L11401.Google Scholar
Swindles, G.T., Lawson, I.T., and Matthews, I.P. (2013). Centennial-scale climate change in Ireland during the Holocene. Earth-Science Reviews 126, 300320.Google Scholar
Ter Braak, C.A. (1995). Ordination. Jongman, R., Ter Braak, C., Van Tongeren, O. Data analysis in community and landscape ecology Pudoc, Wageningen.91173.Google Scholar
Velichko, A.A., Faustova, M.A., and Pisareva, V.V. (2011). Glaciations of the East European plain: distribution and chronology. Ehlers, J., Gibbard, P.L., Hughes, P.D. Developments in Quaternary Science vol. 15, Elsevier, Amsterdam, The Netherlands.337359.Google Scholar
Volkova, E.M. (2011). Rare mires of the north-western Mid Russia Upland: vegetation and genesis. Botanical Journal 96, 12 5570.(in Russian).Google Scholar
Vomperski, S.E., Tzyganova, O.P., and Kovalev, A.G. (1999). Paludified lands in Russia as a factor of carbon accumulation. Zavarzin, G.A. Global evolution of biosphere Russian Academy of Science, Moscow.124145.(in Russian).Google Scholar
Wanner, H., Beer, J., and B"tikofer, J. (2008). Mid- to Late Holocene climate change: an overview. Quaternary Science Reviews 27, 17911828.Google Scholar
Williams, J.W., and Shuman, B. (2008). Obtaining accurate and precise environmental reconstructions from the modern analog technique and North American surface pollen dataset. Quaternary Science Reviews 27, 669687.Google Scholar
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