NDLI: Representation of Picea pollen in modern and surface samples from Central European Russia

Content Provider	Springer Nature Link
Author	sova, Maria B. Severova, Elena E. Volkova, Olga A. Kosenko, Jana V.
Copyright Year	2014
Abstract	Picea pollen abundance (percentage and PAR) was investigated in 23 Tauber pollen traps located in the mixed coniferous-broadleaved forest zone, broadleaved forest zone and forest-steppe zone in the European part of Russia. Modern data were compared with fossil pollen diagrams. In the modern spectra of non-forest zones average Picea pollen percentage is about 1 %, the highest values (up to 3 %) are usually connected with open locations and reflect the regional component of pollen rain. Within the coniferous forest belt average pollen abundance is about 10 %, but this value varies considerably from 1 to 40 % depending on local characteristics of sampling points. The lowest Picea pollen percentages (1 % and less) are observed in the pollen spectra of oligo- and mesotrophic mires, thus the level of 1 % can be significant for Picea and can indicate the continuous range of Picea. For an appropriate interpretation of low Picea pollen abundance in fossil samples the abundance should be analyzed together with other components of the pollen spectra. Large areas of Picea forests are not always reflected in pollen spectra as a high Picea percentage/PAR, as in unfavorable climatic or hydrological conditions the pollen production of Picea forests can be very low. Comparison of fossil and modern pollen spectra shows that a modern analogue of Holocene Picea forests in Central European Russia has not yet been discovered.
Starting Page	319
Ending Page	330
Page Count	12
File Format	PDF
ISSN	09396314
Journal	Vegetation History and Archaeobotany
Volume Number	24
Issue Number	2
e-ISSN	16176278
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2014-08-20
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Picea Holocene Modern pollen Surface samples Tauber trap Russia Paleontology Biogeosciences Climate Change Anthropology Archaeology
Content Type	Text
Resource Type	Article
Subject	Plant Science Archeology (arts and humanities) Paleontology

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