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
Model code and software
ED-2.2-hydro (v1.0) X. Xu, M. Longo, and P. Moorcroft https://doi.org/10.5281/zenodo.3978588
LPJ-GUESS Ecosystem Model B. Smith and M. Mishurov https://web.nateko.lu.se/lpj-guess/download.html
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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