Modern pollen data from pristine taiga forest of Pechora-Ilych state nature biosphere reserve (Komi republic, Russia): first results

• Autorzy: Lisitsyna O.V. , Smirnov N.S. , Aleynikov A.A.
• Języki publikacji: EN

Abstrakty

EN

The first results of modern pollen investigations from western slop of Ural Mountains presented. 33 modern pollen samples have been collected in June 2016 from four dominant forest types (Sphagnum, true moss, tall fern and tall herbs sections) in Pechora-Ilych state nature biosphere reserve (Komi republic, Russia). The detail record of surrounding vegetation was performed at every sampling point. Pollen assemblages are mostly dominated by tree pollen (Betula type, Pinus haploxylon type and Picea). The pollen assemblages and vegetation records will be statistically analyzed (clustering and correspondence analysis) to investigate how vegetation is reflected in pollen assemblages and for producing new series of PPEs.

• Wydawca: -
• Czasopismo: Ecological Questions
• Rocznik: 2017
• Tom: 26
• Opis fizyczny: p.53-55,ref.

Twórcy

autor

Lisitsyna O.V.

• Biodiversity Unit, University of Turku, Finland

autor

Smirnov N.S.

• Pechora-Ilych state Biosphere Nature Reserve, Yaksha Village, Troitsk-Pechora district, Komi Republic, 169436 Russian Federation
• Institute of Global Climate and Ecology of Roshydromet and Russian Academy of Sciences (RAS), 20B Glebovskaya str., Moscow, 107258, Russia

autor

Aleynikov A.A.

• Centre for Problems of Ecology and Productivity of Forests, Russian Academy of Sciences, ul. Profsoyuznaya 84/32, 1179910, Moscow, Russia

Bibliografia

• Abraham V. & Kozakova R., 2012, Relative pollen productivity estimates in the modern agricultural landscape of Central Bohemia (Czech Republic), Review of Palaeobotany and Palynology 179(0): 1–12.
• Aleynikov A.A., Tyurin A.V., Simakin L.V., Efimenko A.S.
• & Laznikov A.A., 2015, Fire history of dark needle coniferous forests in Pechora-Ilych nature reserve since second half of XIX century to present time, Sibirskij Lesnoj Zhurnal (Siberian Journal of Forest Science) 6: 31–42 (in Russian with English abstract).
• Broström A., Nielsen, A.B., Gaillard M.-J., Hjelle K., Mazier Fl., Binney H., Bunting J., Fyfe R., Meltsov V., Poska A., Räsänen S., Soepboer W., von Stedingk H., Suutari H. & Sugita S., 2008, Pollen productivity estimates of key European plant taxa for quantitative reconstruction of past vegetation: a review, Vegetation history and archaebotany 17: 461–478.
• Gaillard M.-J., Sugita S., Bunting M.J., Middleton R., Broström A., Caseldine C., Giesecke T., Hellman S.E.V., Hicks S., Hjelle K., Langdon C., Nielsen A.-B., Poska A., von Stedingk H., Veski S. & PolLandCal members, 2008, The use of modeling and simulation approach in reconstructing past landscapes from fossil pollen data: a review and results from the POLLANDCAL network, Vegetation History and Archaeobotany 17: 419–443.
• Jankovska V., 2007, Composition of pollen spectra from surface samples produced by present-day vegetation of boreal zone Eastern from Polar Ural Mts. (Russia), Pollen Monitoring Program, volume of abstract, 6th international meeting 3–9 June 2007, Jurmala, Latvia: 29–31.
• Korchagin, A.A., 1940, The vegetation of northern part of PechoraIlych nature reserve. Proceedings of Pechora-Ilych nature reserve 2, (in Russian).
• Lapteva E.G., 2007, Vegetation and climate development on eastern slope of Ural mountains in the last half of Late Pleistocene and Holocene, thesis summary, Moscow.
• Lapteva, E.G., 2005, Comparison of subfossil pollen spectra with modern vegetation of the midle and southern Ural mountains, 11th All Russian conference “Palinology: theory and practice”, 27.09–1.10, 2005, Moscow, conference materials: 126–127.
• Lisitsyna O.V. & Hicks S., 2014, Estimation of pollen deposition time-span in moss polsters with the aid of annual pollen accumulation values from pollen traps, Grana 53: 232–248.
• Moore P.D., Webb J.A. & Collinson M.E., 1991, Pollen analysis, 2nd edn., Blackwell Scientific, Oxford.
• Overpeck, J. T., T. Webb III. & Prentice I. C., 1985, Quantitative interpretation of fossil pollen spectra: Dissimilarity coefficients and the method of modern analogs, Quaternary Research 23: 87–108.
• Poska A., Meltsov V., Sugita S. & Vassiljev J., 2011, “Relative pollen productivity estimates of major anemophilous taxa and relevant source area of pollen in a cultural landscape of the hemi-boreal forest zone (Estonia)., Review of Palaeobotany and Palynology 167(1–2): 10–10.
• Prentice I. C. & Parsons R. W., 1983, Maximum likelihood linear calibration of pollen spectra in terms of forest composition, Biometrics 39: 1051–1057.
• Smirnov N.S., 2013, Typological and Species Diversity of Dark Conifer Forests in the Lower Reaches of the Bol’shaya Porozhnyaya River, a Tributary of the Pechora (Pechora–Ilych State Nature Reserve), Russian Journal of Ecology (1): 28–35
• Sugita S., 2007a, Theory of quantitative reconstructions of vegetation I: pollen from large sites REVEALS regional vegetation composition, The Holocene 17(2): 229–241.
• Sugita S., 2007b, Theory of quantitative reconstructions of vegetation II: all you need is LOVE, The Holocene 17(2): 243–257.
• Sugita S., Parshall T, Calcote R. & Walker K., 2010, Testing the Landscape Reconstruction Algorithm for spatially explicit reconstruction of vegetation in northern Michigan and Wisconsin, Quaternary Research 74(2): 289–300.
• Tinner W., Hofstetter S., Zeugin F., Conedera M., Whohlgemuth T., Zimmermann L. & Zweifel R., 2006, Long-distance transport of macroscopic charcoal by an intensive crown fire in the Swiss Alps – implications for fire history reconstruction, The Holocene 16(2): 287–292.

Identyfikatory

DOI

10.12775/EQ.2017.016