Warming Drives Large-Scale Shifts in Post-Disturbance Vegetation Dynamics and Expansion of Deciduous Trees in the Boreal Forest in a Dynamic Vegetation Model
(2026) In Journal of Geophysical Research: Biogeosciences 131(8).- Abstract
The intensification of disturbance regimes due to climate change is a growing concern in boreal forests, yet the long-term consequences for forest recovery remain poorly understood, as boreal successional dynamics unfold over a century or longer and exceed the length of available observational records. To overcome this research gap we use the dynamic vegetation model LPJ-GUESS to investigate future climate change impacts on boreal successional dynamics over the 21st and 22nd centuries. We first confirm that LPJ-GUESS reproduces historic patterns of post-disturbance recovery. We then show that under future warming, deciduous transients become more frequent, longer, and more pronounced due to a temperature-mediated shift in competitive... (More)
The intensification of disturbance regimes due to climate change is a growing concern in boreal forests, yet the long-term consequences for forest recovery remain poorly understood, as boreal successional dynamics unfold over a century or longer and exceed the length of available observational records. To overcome this research gap we use the dynamic vegetation model LPJ-GUESS to investigate future climate change impacts on boreal successional dynamics over the 21st and 22nd centuries. We first confirm that LPJ-GUESS reproduces historic patterns of post-disturbance recovery. We then show that under future warming, deciduous transients become more frequent, longer, and more pronounced due to a temperature-mediated shift in competitive balance emerging in LPJ-GUESS. Using a random forest framework, we find that the long-term recovery pathway can be predicted with 90% accuracy from vegetation and environmental conditions in the first decade after disturbance alone. This supports the hypothesis that the changes in post-disturbance recruitment currently observed in boreal forests are an indicator of more long-lasting changes in vegetation composition in the future. While we find no evidence for permanent shifts toward deciduous tree cover in LPJ-GUESS, the combination of prolonged deciduous transients and more frequent disturbances makes an increase in deciduous tree cover a likely future scenario.
(Less)
- author
- Layritz, L. S.
; Anand, M.
; Kim, J. E.
; Meyer, B. F.
; Gregor, K.
; Pugh, T. A.M.
LU
; Boettiger, C.
; Buras, A.
and Rammig, A.
- organization
- publishing date
- 2026-08
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- boreal, climate change, ecology, post-fire, resilience, vegetation model
- in
- Journal of Geophysical Research: Biogeosciences
- volume
- 131
- issue
- 8
- article number
- e2025JG009176
- publisher
- John Wiley & Sons Inc.
- external identifiers
-
- scopus:105046485835
- ISSN
- 2169-8953
- DOI
- 10.1029/2025JG009176
- language
- English
- LU publication?
- yes
- additional info
- Publisher Copyright: © 2026. The Author(s).
- id
- 096028d3-8ff0-4e32-9998-9499f2216b8a
- date added to LUP
- 2026-09-21 22:32:50
- date last changed
- 2026-09-22 09:24:13
@article{096028d3-8ff0-4e32-9998-9499f2216b8a,
abstract = {{<p>The intensification of disturbance regimes due to climate change is a growing concern in boreal forests, yet the long-term consequences for forest recovery remain poorly understood, as boreal successional dynamics unfold over a century or longer and exceed the length of available observational records. To overcome this research gap we use the dynamic vegetation model LPJ-GUESS to investigate future climate change impacts on boreal successional dynamics over the 21st and 22nd centuries. We first confirm that LPJ-GUESS reproduces historic patterns of post-disturbance recovery. We then show that under future warming, deciduous transients become more frequent, longer, and more pronounced due to a temperature-mediated shift in competitive balance emerging in LPJ-GUESS. Using a random forest framework, we find that the long-term recovery pathway can be predicted with 90% accuracy from vegetation and environmental conditions in the first decade after disturbance alone. This supports the hypothesis that the changes in post-disturbance recruitment currently observed in boreal forests are an indicator of more long-lasting changes in vegetation composition in the future. While we find no evidence for permanent shifts toward deciduous tree cover in LPJ-GUESS, the combination of prolonged deciduous transients and more frequent disturbances makes an increase in deciduous tree cover a likely future scenario.</p>}},
author = {{Layritz, L. S. and Anand, M. and Kim, J. E. and Meyer, B. F. and Gregor, K. and Pugh, T. A.M. and Boettiger, C. and Buras, A. and Rammig, A.}},
issn = {{2169-8953}},
keywords = {{boreal; climate change; ecology; post-fire; resilience; vegetation model}},
language = {{eng}},
number = {{8}},
publisher = {{John Wiley & Sons Inc.}},
series = {{Journal of Geophysical Research: Biogeosciences}},
title = {{Warming Drives Large-Scale Shifts in Post-Disturbance Vegetation Dynamics and Expansion of Deciduous Trees in the Boreal Forest in a Dynamic Vegetation Model}},
url = {{http://dx.doi.org/10.1029/2025JG009176}},
doi = {{10.1029/2025JG009176}},
volume = {{131}},
year = {{2026}},
}