a pollen-based biome reconstruction over the last 3.562 million years in the far east russian arctic – new insights into climate–vegetation relationships at the regional scale
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2013
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Abstract
The recent and fossil pollen data obtained under the frame of the
multi-disciplinary international El'gygytgyn Drilling Project represent
a unique archive, which allows the testing of a range of pollen-based
reconstruction approaches and the deciphering of changes in the regional
vegetation and climate. In the current study
we provide details of the biome reconstruction method applied to the late
Pliocene and Quaternary pollen records from Lake El'gygytgyn. All
terrestrial pollen taxa identified in the spectra from Lake El'gygytgyn were
assigned to major vegetation types (biomes), which today occur near the lake
and in the broader region of eastern and northern Asia and, thus, could be
potentially present in this region during the past. When applied to the
pollen spectra from the middle Pleistocene to present, the method suggests
(1) a predominance of tundra during the Holocene, (2) a short interval
during the marine isotope stage (MIS) 5.5 interglacial distinguished by cold
deciduous forest, and (3) long phases of taiga dominance during MIS 31 and,
particularly, MIS 11.3. These two latter interglacials seem to be some of
the longest and warmest intervals in the study region within the past
million years.
During the late Pliocene–early Pleistocene interval (i.e., ~3.562–2.200 Ma), there is good correspondence between the millennial-scale vegetation changes documented in the Lake El'gygytgyn record and the alternation of cold and warm marine isotope stages, which reflect changes in the global ice volume and sea level. The biome reconstruction demonstrates changes in the regional vegetation from generally warmer/wetter environments of the earlier (i.e., Pliocene) interval towards colder/drier environments of the Pleistocene. The reconstruction indicates that the taxon-rich cool mixed and cool conifer forest biomes are mostly characteristic of the time prior to MIS G16, whereas the tundra biome becomes a prominent feature starting from MIS G6. These results consistently indicate that the study region supported significant tree populations during most of the interval prior to ~2.730 Ma. The cold- and drought-tolerant steppe biome first appears in the reconstruction ~3.298 Ma during the tundra-dominated MIS M2, whereas the tundra biome initially occurs between ~3.379 and ~3.378 Ma within MIS MG4. Prior to ~2.800 Ma, several other cold stages during this generally warm Pliocene interval were characterized by the tundra biome.
During the late Pliocene–early Pleistocene interval (i.e., ~3.562–2.200 Ma), there is good correspondence between the millennial-scale vegetation changes documented in the Lake El'gygytgyn record and the alternation of cold and warm marine isotope stages, which reflect changes in the global ice volume and sea level. The biome reconstruction demonstrates changes in the regional vegetation from generally warmer/wetter environments of the earlier (i.e., Pliocene) interval towards colder/drier environments of the Pleistocene. The reconstruction indicates that the taxon-rich cool mixed and cool conifer forest biomes are mostly characteristic of the time prior to MIS G16, whereas the tundra biome becomes a prominent feature starting from MIS G6. These results consistently indicate that the study region supported significant tree populations during most of the interval prior to ~2.730 Ma. The cold- and drought-tolerant steppe biome first appears in the reconstruction ~3.298 Ma during the tundra-dominated MIS M2, whereas the tundra biome initially occurs between ~3.379 and ~3.378 Ma within MIS MG4. Prior to ~2.800 Ma, several other cold stages during this generally warm Pliocene interval were characterized by the tundra biome.
| Reference Key |
tarasov2013climatea
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| Authors | ;P. E. Tarasov;A. A. Andreev;P. M. Anderson;A. V. Lozhkin;C. Leipe;E. Haltia;N. R. Nowaczyk;V. Wennrich;J. Brigham-Grette;M. Melles |
| Journal | proceedings - 16th ieee/acis international conference on computer and information science, icis 2017 |
| Year | 2013 |
| DOI |
10.5194/cp-9-2759-2013
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| URL | |
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