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Open Access Publications from the University of California

Vegetation demographics in Earth System Models: A review of progress and priorities.

  • Author(s): Fisher, Rosie A
  • Koven, Charles D
  • Anderegg, William RL
  • Christoffersen, Bradley O
  • Dietze, Michael C
  • Farrior, Caroline E
  • Holm, Jennifer A
  • Hurtt, George C
  • Knox, Ryan G
  • Lawrence, Peter J
  • Lichstein, Jeremy W
  • Longo, Marcos
  • Matheny, Ashley M
  • Medvigy, David
  • Muller-Landau, Helene C
  • Powell, Thomas L
  • Serbin, Shawn P
  • Sato, Hisashi
  • Shuman, Jacquelyn K
  • Smith, Benjamin
  • Trugman, Anna T
  • Viskari, Toni
  • Verbeeck, Hans
  • Weng, Ensheng
  • Xu, Chonggang
  • Xu, Xiangtao
  • Zhang, Tao
  • Moorcroft, Paul R
  • et al.

Published Web Location

https://doi.org/10.1111/gcb.13910
Abstract

Numerous current efforts seek to improve the representation of ecosystem ecology and vegetation demographic processes within Earth System Models (ESMs). These developments are widely viewed as an important step in developing greater realism in predictions of future ecosystem states and fluxes. Increased realism, however, leads to increased model complexity, with new features raising a suite of ecological questions that require empirical constraints. Here, we review the developments that permit the representation of plant demographics in ESMs, and identify issues raised by these developments that highlight important gaps in ecological understanding. These issues inevitably translate into uncertainty in model projections but also allow models to be applied to new processes and questions concerning the dynamics of real-world ecosystems. We argue that stronger and more innovative connections to data, across the range of scales considered, are required to address these gaps in understanding. The development of first-generation land surface models as a unifying framework for ecophysiological understanding stimulated much research into plant physiological traits and gas exchange. Constraining predictions at ecologically relevant spatial and temporal scales will require a similar investment of effort and intensified inter-disciplinary communication.

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