Past, present, and future geo-biosphere interactions on the Tibetan Plateau and implications for permafrost

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Ehlers, T.A.; Chen, D.; Appel, E.; Bolch, T.; Chen, F. et al.: Past, present, and future geo-biosphere interactions on the Tibetan Plateau and implications for permafrost. In: Earth-Science Reviews 234 (2022), 104197. DOI: https://doi.org/10.1016/j.earscirev.2022.104197

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To cite the version in the repository, please use this identifier: https://doi.org/10.15488/13990

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Sum total of downloads: 44




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Abstract: 
Interactions between the atmosphere, biosphere, cryosphere, hydrosphere, and geosphere are most active in the critical zone, a region extending from the tops of trees to the top of unweathered bedrock. Changes in one or more of these spheres can result in a cascade of changes throughout the system in ways that are often poorly understood. Here we investigate how past and present climate change have impacted permafrost, hydrology, and ecosystems on the Tibetan Plateau. We do this by compiling existing climate, hydrologic, cryosphere, biosphere, and geologic studies documenting change over decadal to glacial-interglacial timescales and longer. Our emphasis is on showing present-day trends in environmental change and how plateau ecosystems have largely flourished under warmer and wetter periods in the geologic past. We identify two future pathways that could lead to either a favorable greening or unfavorable degradation and desiccation of plateau ecosystems. Both paths are plausible given the available evidence. We contend that the key to which pathway future generations experience lies in what, if any, human intervention measures are implemented. We conclude with suggested management strategies that can be implemented to facilitate a future greening of the Tibetan Plateau.
License of this version: CC BY 4.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2022
Appears in Collections:Naturwissenschaftliche Fakultät

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downloads by country:

pos. country downloads
total perc.
1 image of flag of Germany Germany 17 38.64%
2 image of flag of United States United States 13 29.55%
3 image of flag of Indonesia Indonesia 2 4.55%
4 image of flag of Hong Kong Hong Kong 2 4.55%
5 image of flag of China China 2 4.55%
6 image of flag of Nepal Nepal 1 2.27%
7 image of flag of Japan Japan 1 2.27%
8 image of flag of Italy Italy 1 2.27%
9 image of flag of Spain Spain 1 2.27%
10 image of flag of Canada Canada 1 2.27%
    other countries 3 6.82%

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