Abstract

How fast the Northern Hemisphere (NH) forest biome tracks strongly warming climates is largely unknown. Regional studies reveal lags between decades and millennia. Here we report a conundrum: Deglacial forest expansion in the NH extra-tropics occurs approximately 4000 years earlier in a transient MPI-ESM1.2 simulation than shown by pollen-based biome reconstructions. Shortcomings in the model and the reconstructions could both contribute to this mismatch, leaving the underlying causes unresolved. The simulated vegetation responds within decades to simulated climate changes, which agree with pollen-independent reconstructions. Thus, we can exclude climate biases as main driver for differences. Instead, the mismatch points at a multi-millennial disequilibrium of the NH forest biome to the climate signal. Therefore, the evaluation of time-slice simulations in strongly changing climates with pollen records should be critically reassessed. Our results imply that NH forests may be responding much slower to ongoing climate changes than Earth System Models predict.

Deglacial forest expansion in the Northern Hemisphere poses a conundrum: Model results agree with the climate signal but are several millennia ahead of reconstructed forest dynamics. The underlying causes remain unsolved.

Details

Title
The deglacial forest conundrum
Author
Dallmeyer, Anne 1   VIAFID ORCID Logo  ; Kleinen, Thomas 1   VIAFID ORCID Logo  ; Claussen, Martin 2   VIAFID ORCID Logo  ; Weitzel, Nils 3   VIAFID ORCID Logo  ; Cao, Xianyong 4 ; Herzschuh, Ulrike 5   VIAFID ORCID Logo 

 Max Planck Institute for Meteorology, Hamburg, Germany (GRID:grid.450268.d) (ISNI:0000 0001 0721 4552) 
 Max Planck Institute for Meteorology, Hamburg, Germany (GRID:grid.450268.d) (ISNI:0000 0001 0721 4552); Universität Hamburg, Centrum für Erdsystemforschung und Nachhaltigkeit (CEN), Hamburg, Germany (GRID:grid.9026.d) (ISNI:0000 0001 2287 2617) 
 Heidelberg University, Institute of Environmental Physics, Heidelberg, Germany (GRID:grid.7700.0) (ISNI:0000 0001 2190 4373); University of Tübingen, Department of Geosciences, Tübingen, Germany (GRID:grid.10392.39) (ISNI:0000 0001 2190 1447) 
 Chinese Academy of Sciences, Alpine Paleoecology and Human Adaptation Group (ALPHA), State Key Laboratory of Tibetan Plateau Earth System, and Resources and Environment (TPESRE), Institute of Tibetan Plateau Research, Beijing, China (GRID:grid.9227.e) (ISNI:0000000119573309) 
 Helmholtz Centre for Polar and Marine Research, Alfred Wegner Institute, Potsdam, Germany (GRID:grid.9227.e); University of Potsdam, Institute of Environmental Sciences and Geography, Potsdam, Germany (GRID:grid.11348.3f) (ISNI:0000 0001 0942 1117); University of Potsdam, Institute of Biochemistry and Biology, Potsdam, Germany (GRID:grid.11348.3f) (ISNI:0000 0001 0942 1117) 
Publication year
2022
Publication date
2022
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2724429186
Copyright
© The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.