International audienceFossil pollen data supplemented by tree macrofossil records were used to reconstruct the vegetation of the Former Soviet Union and Mongolia at 6000 years. Pollen spectra were assigned to biomes using the plant-functional-type method developed by Prentice ct al. (1996). Surface pollen data and a modern vegetation map provided a test of the method. This is the first time such a broad-scale vegetation reconstruction for the greater part of northern Eurasia has been attempted with objective techniques. The new results confirm previous regional palaeoenvironmental studies of the mid-Holocene while providing a comprehensive synopsis and firmer conclusions. West of the Ural Mountains temperate deciduous forest extended both northward and southward from its modern range. The northern limits of cool mixed and cool conifer forests were also further north than present. Taiga was reduced in European Russia, but was extended into Yakutia where now there is cold deciduous forest. The northern limit of taiga was extended (as shown by increased Picea pollen percentages, and by tree macrofossil records north of the present-day forest limit) but tundra was still present in north-eastern Siberia. The boundary between forest and steppe in the continental interior did not shift substantially, and dry conditions similar to present existed in western Mongolia and north of the Aral Sea
International audienceAn improved concept of the best analogues method was used to reconstruct the Last Glacial Maximum (LGM) climate from a set of botanical records from the former Soviet Union and Mongolia. Terrestrial pollen and macrofossil taxa were grouped into broad classes - plant functional types (PFTs), defined by the ecological and climatic parameters used in the BIOME1 model. PFT scores were then calibrated in terms of modern climate using 1245 surface pollen spectra from Eurasia and North America. In contrast to individual taxa, which exhibit great variability and may not be present in the palaeoassemblages, even in suitable climates, PFTs are more characteristic of the vegetation types. The modified method thus allows climate reconstruction at time intervals with partial direct analogues of modern vegetation (e.g. the LGM). At 18 kBP, mean temperatures were 20-29 degrees C colder than today in winter and 5-11 degrees C colder in summer in European Russia and Ukraine. Sites from western Georgia show negative, but moderate temperature anomalies compared to today: 8-11 degrees C in January and 5-7 degrees C in July. LGM winters were 7-15 degrees C colder and summers were 1-7 degrees C colder in Siberia and Mongolia. Annual precipitation sums were 50-750 mm lower than today across northern Eurasia, suggesting a weakening of the Atlantic and Pacific influences. Reconstructed drought index shows much drier LGM conditions in northern and mid-latitude Russia, but similar to or slightly wetter than today around the Black Sea and in Mongolia, suggesting compensation of precipitation losses by lower-than-present evaporation
Abstract. The Eurasian (née European) Modern Pollen Database
(EMPD) was established in 2013 to provide a public database of high-quality
modern pollen surface samples to help support studies of past climate,
land cover, and land use using fossil pollen. The EMPD is part of, and
complementary to, the European Pollen Database (EPD) which contains data on
fossil pollen found in Late Quaternary sedimentary archives throughout the
Eurasian region. The EPD is in turn part of the rapidly growing Neotoma
database, which is now the primary home for global palaeoecological data.
This paper describes version 2 of the EMPD in which the number of samples
held in the database has been increased by 60 % from 4826 to 8134. Much of
the improvement in data coverage has come from northern Asia, and the
database has consequently been renamed the Eurasian Modern Pollen Database
to reflect this geographical enlargement. The EMPD can be viewed online
using a dedicated map-based viewer at https://empd2.github.io and
downloaded in a variety of file formats at
https://doi.pangaea.de/10.1594/PANGAEA.909130 (Chevalier et al., 2019).
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