Northern Hemisphere vegetation change drives a Holocene thermal maximum
Affiliation
Department of Geosciences, The University of ArizonaIssue Date
2022
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Thompson, A. J., Zhu, J., Poulsen, C. J., Tierney, J. E., & Skinner, C. B. (2022). Northern Hemisphere vegetation change drives a Holocene thermal maximum. Science Advances.Journal
Science AdvancesRights
Copyright © 2022. The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S.Government Works. Distributed under a Creative Commons Attribution License 4.0 (CC BY).Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
The Holocene thermal maximum, a period of global warmth evident in early to mid-Holocene proxy reconstructions, is controversial. Most model simulations of the Holocene have not reproduced this warming, leading to a disagreement known as the Holocene Temperature Conundrum. Pollen records document the expansion of vegetation in the early and mid-Holocene African Sahara and Northern Hemisphere mid- and high latitudes, which has been overlooked in previous modeling studies. Here, we use time slice simulations of the Community Earth System Model to assess the impact of Northern Hemisphere vegetation change on Holocene annual mean temperatures. Our simulations indicate that expansion of Northern Hemisphere vegetation 9000 and 6000 years ago warms Earth’s surface by ~0.8° and 0.7°C, respectively, producing a better match with proxy-based reconstructions. Our results suggest that vegetation change is critical for modeling Holocene temperature evolution and highlight its role in driving a mid-Holocene temperature maximum. Copyright © 2022 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution License 4.0 (CC BY).Note
Open access journalISSN
2375-2548PubMed ID
35427164Version
Final published versionae974a485f413a2113503eed53cd6c53
10.1126/sciadv.abj6535
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Except where otherwise noted, this item's license is described as Copyright © 2022. The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S.Government Works. Distributed under a Creative Commons Attribution License 4.0 (CC BY).
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