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Holocene Vegetation and Climate Dynamics in the Altai Mountains and Surrounding Areas

descriptionPublicationkeyboard_double_arrow_right Article , Journal 07 Jul 2018 Russian Federation, Germany, Russian Federation Publisher:American Geophysical Union (AGU)Journal:Geophysical Research Letters, volume 45, pages 6,628-6,636 (issn: 0094-8276, eissn: 1944-8007,

Authors: Xianyong Cao; Natalia Rudaya; Xiaozhong Huang; Xiaoduo Pan; Wei Peng; Sisi Liu; Chunzhu Chen; +7 Authors

doi: 10.1029/2018gl078028

Holocene Vegetation and Climate Dynamics in the Altai Mountains and Surrounding Areas

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Abstract

AbstractA comprehensive understanding of the regional vegetation responses to long‐term climate change will help to forecast Earth system dynamics. Based on a new well‐dated pollen data set from Kanas Lake and a review on the published pollen records in and around the Altai Mountains, the regional vegetation dynamics and forcing mechanisms are discussed. In the Altai Mountains, the forest optimum occurred during 10–7 ka for the upper forest zone and the tree line decline and/or ecological shifts were caused by climatic cooling from around 7 ka. In the lower forest zone, the forest reached an optimum in the middle Holocene, and then increased openness of the forest, possibly caused by both climate cooling and human activities, took place in the late Holocene. In the lower basins or plains around the Altai Mountains, the development of protograssland or forest benefited from increasing humidity in the middle to late Holocene.

Countries

Russian Federation, Germany, Russian Federation

Related Organizations

University of Minnesota Morris
United States
Kazan Federal University
Russian Federation
University of Potsdam
Germany
Institute of Tibetan Plateau Research
China (People's Republic of)
Nantong University
China (People's Republic of)

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Keywords

Kanas Lake, ddc:550, vegetation dynamics, taiga forest, climate change, Altai Mountains, Institut für Geowissenschaften

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	98
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 1%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 1%