Articles | Volume 20, issue 11
https://doi.org/10.5194/bg-20-2117-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-20-2117-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
14 Jun 2023
Research article |
| 14 Jun 2023
| 14 Jun 2023
Exploring the impacts of unprecedented climate extremes on forest ecosystems: hypotheses to guide modeling and experimental studies
Lawrence Berkeley National Laboratory, Berkeley, California, USA
David M. Medvigy
Department of Biological Sciences, University of Notre Dame, Notre Dame, Indiana, USA
Benjamin Smith
Department of Physical Geography and Ecosystem Science, Lund University,
Lund, Sweden
Hawkesbury Institute for the Environment, Western Sydney
University, Penrith, NSW 2751, Australia
Jeffrey S. Dukes
Department of Forestry and Natural Resources, Purdue University, West Lafayette, Indiana, USA
Department of Global Ecology, Carnegie Institution for
Science, Stanford, California, USA
Claus Beier
Department of Geosciences and Natural Resource Management,
University of Copenhagen, Frederiksberg, Denmark
Mikhail Mishurov
Department of Physical Geography and Ecosystem Science, Lund University,
Lund, Sweden
Xiangtao Xu
Department of Ecology and Evolutionary Biology, Cornell University,
Ithaca, New York, USA
Jeremy W. Lichstein
Department of Biology, University of Florida, Gainesville, Florida,
USA
Craig D. Allen
Geography and Environmental Studies, University of New Mexico,
Albuquerque, New Mexico, USA
Klaus S. Larsen
Department of Geosciences and Natural Resource Management,
University of Copenhagen, Frederiksberg, Denmark
Center for Ecosystem Science and Society, Department of Biological
Sciences, Northern Arizona University, Flagstaff, Arizona, USA
Cari Ficken
Department of Biology, University of Waterloo, Waterloo, Ontario,
Canada
William T. Pockman
Department of Biology, University of New Mexico, Albuquerque, New
Mexico, USA
William R. L. Anderegg
School of Biological Sciences, University of Utah, Salt Lake City,
Utah, USA
Anja Rammig
TUM School of Life Sciences
Weihenstephan, Technical University of Munich, Freising, Germany
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Cited
6 citations as recorded by crossref.
- Tropical forests and global change: biogeochemical responses and opportunities for cross‐site comparisons, an organized INSPIRE session at the 108th Annual Meeting, Ecological Society of America, Portland, Oregon, USA, August 2023 D. Cusack et al. 10.1111/nph.19511
- Modelling changes in vegetation productivity and carbon balance under future climate scenarios in southeastern Australia B. Wang et al. 10.1016/j.scitotenv.2024.171748
- Response of radial growth of <i>P. sylvestris var. mongolica (P. sylvestris)</i> and <i>Larix gmelinii (Rupr.) Kuzen (L. gmelinii)</i> to extreme climate and their future growth trends in the Daxing’anling Mountains, northeast China R. Abudoureheman et al. 10.20858/geochr/192337
- Ideas and perspectives: Beyond model evaluation – combining experiments and models to advance terrestrial ecosystem science S. Caldararu et al. 10.5194/bg-20-3637-2023
- Challenges and Strategic Recommendations for Enhancing Quantification and Projection of Forest Carbon Dynamics H. Munro et al. 10.1007/s44392-025-00048-7
- ESD Ideas: Near-real-time preliminary detection of carbon dioxide source and sink areas using a Laplacian filter Y. Savytska et al. 10.5194/esd-16-721-2025
6 citations as recorded by crossref.
- Tropical forests and global change: biogeochemical responses and opportunities for cross‐site comparisons, an organized INSPIRE session at the 108th Annual Meeting, Ecological Society of America, Portland, Oregon, USA, August 2023 D. Cusack et al. 10.1111/nph.19511
- Modelling changes in vegetation productivity and carbon balance under future climate scenarios in southeastern Australia B. Wang et al. 10.1016/j.scitotenv.2024.171748
- Response of radial growth of <i>P. sylvestris var. mongolica (P. sylvestris)</i> and <i>Larix gmelinii (Rupr.) Kuzen (L. gmelinii)</i> to extreme climate and their future growth trends in the Daxing’anling Mountains, northeast China R. Abudoureheman et al. 10.20858/geochr/192337
- Ideas and perspectives: Beyond model evaluation – combining experiments and models to advance terrestrial ecosystem science S. Caldararu et al. 10.5194/bg-20-3637-2023
- Challenges and Strategic Recommendations for Enhancing Quantification and Projection of Forest Carbon Dynamics H. Munro et al. 10.1007/s44392-025-00048-7
- ESD Ideas: Near-real-time preliminary detection of carbon dioxide source and sink areas using a Laplacian filter Y. Savytska et al. 10.5194/esd-16-721-2025
Latest update: 05 Oct 2025
Short summary
Unprecedented climate extremes (UCEs) are expected to have dramatic impacts on ecosystems. We present a road map of how dynamic vegetation models can explore extreme drought and climate change and assess ecological processes to measure and reduce model uncertainties. The models predict strong nonlinear responses to UCEs. Due to different model representations, the models differ in magnitude and trajectory of forest loss. Therefore, we explore specific plant responses that reflect knowledge gaps.
Unprecedented climate extremes (UCEs) are expected to have dramatic impacts on ecosystems. We...
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