Preprints
https://doi.org/10.5194/bg-2022-65
https://doi.org/10.5194/bg-2022-65
 
28 Mar 2022
28 Mar 2022
Status: this preprint is currently under review for the journal BG.

Exploring the impacts of unprecedented climate extremes on forest ecosystems: hypotheses to guide modeling and experimental studies

Jennifer A. Holm1, David M. Medvigy2, Benjamin Smith3,4, Jeffrey S. Dukes5, Claus Beier6, Mikhail Mishurov3, Xiangtao Xu7, Jeremy W. Lichstein8, Craig D. Allen9, Klaus S. Larsen6, Yiqi Luo10, Cari Ficken11, William T. Pockman12, William R. L. Anderegg13, and Anja Rammig14 Jennifer A. Holm et al.
  • 1Lawrence Berkeley National Laboratory, Berkeley, California, USA
  • 2University of Notre Dame, Notre Dame, Indiana, USA
  • 3Dept of Physical Geography and Ecosystem Science, Lund University, Lund, Sweden
  • 4Hawkesbury Institute for the Environment, Western Sydney University, Penrith, NSW 2751, Australia
  • 5Department of Forestry and Natural Resources and Biological Sciences, Purdue University, West Lafayette, Indiana, USA
  • 6Department of Geosciences and Natural Resource Management, University of Copenhagen, Frederiksberg, Denmark
  • 7Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, New York, USA
  • 8Department of Biology, University of Florida, Gainesville, Florida, USA
  • 9U.S. Geological Survey, Fort Collins Science Center, New Mexico Landscapes Field Station, Los Alamos, New Mexico, USA
  • 10Center for Ecosystem Science and Society, Department of Biological Sciences, Northern Arizona University, Flagstaff, Arizona, USA
  • 11Department of Biology, University of Waterloo, Waterloo, Ontario, Canada
  • 12Department of Biology, University of New Mexico, Albuquerque, New Mexico, USA
  • 13School of Biological Sciences, University of Utah, Salt Lake City, Utah, USA
  • 14Technical University of Munich, TUM School of Life Sciences Weihenstephan, Freising, Germany

Abstract. Climatic extreme events are expected to occur more frequently in the future, increasing the likelihood of unprecedented climate extremes (UCEs), or record-breaking events. UCEs, such as extreme heatwaves and droughts, substantially affect ecosystem stability and carbon cycling by increasing plant mortality and delaying ecosystem recovery. Quantitative knowledge of such effects is limited due to the paucity of experiments focusing on extreme climatic events beyond the range of historical experience. Here, we use two dynamic vegetation demographic models (VDMs), ED2 and LPJ-GUESS, to investigate the hypothesis that ecosystem responses to UCEs (e.g., unprecedented droughts) differ qualitatively from ecosystem responses to milder extremes, as a result of non-linear ecosystem responses. Additionally, we explore how unprecedented droughts in combination with increasing atmospheric CO2 and/or temperature may affect ecosystem stability and carbon cycling. We explored these questions using simulations of pre-drought and post-drought conditions at well-studied forest sites in Australia and Costa Rica. Both models produced nonlinear responses to UCEs. Due to the two models having different but plausible representations of processes and interactions, they diverge in sensitivity of biomass loss due to drought duration or intensity, and differ between each site. Biomass losses are most sensitive to drought duration in ED2, but to drought intensity in LPJ-GUESS. Elevated atmospheric CO2 concentrations (eCO2) alone did not completely buffer the ecosystems from carbon losses during UCEs in the majority of our simulations. Our findings highlight contrasting differences in process formulations and uncertainties in models, notably related to availability in plant carbohydrate storage and the diversity of plant hydraulic schemes, in projecting potential ecosystem responses to UCEs. The different hypotheses of plant responses to UCEs existing in models reflect knowledge gaps, which should be tested with targeted field experiments. This iterative modeling-experimental framework would help improve predictions of terrestrial ecosystem responses and climate feedbacks.

Jennifer A. Holm et al.

Status: open (until 08 Jun 2022)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse

Jennifer A. Holm et al.

Jennifer A. Holm et al.

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Short summary
Unprecedented climate extremes (UCEs) are expected to have dramatic impacts for ecosystems. We examine extreme droughts with rising CO2 and temperatures using two dynamic vegetation models, to 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 explored specific plant responses that reflect knowledge gaps.
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