Cited by 768Plant Water Relations and Carbon DynamicsEcology and Vegetation Dynamics StudiesForest ecology and management

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

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Fisher, Rosie A., Koven, Charles D., Anderegg, William R. L., Christoffersen, Bradley O., Dietze, Michael C., Farrior, Caroline E., Holm, Jennifer A., Hurtt, George C. +20 more·2018·Global Change Biology

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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Crossref · 10.1111/gcb.13910

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  • As models improve their representation of vegetation, simulation of fire mortality also improves.

    “As models improve their representation of vegetation such as with the incorporation of plant physiology, growth, and size-structure (Fisher et al., 2018) and traitbased modelling (Fisher et al., 2015), simulation of fire mortality also improves.”

    From Fire as a fundamental ecological process: Research advances and frontiers (2020) · cites this paper as Fisher et al., 2018

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Authors
Fisher, R. A., Koven, C. D., Anderegg, W. R. L., Christoffersen, B. O., Dietze, M. C., Farrior, C. E., Holm, J. A., Hurtt, G. C., Knox, R. G., Lawrence, P. J., Lichstein, J. W., Longo, M., Matheny, A. M., Medvigy, D., Muller‐Landau, H. C., Powell, T. L., Serbin, S. P., Sato, H., Shuman, J. K., Smith, B., Trugman, A. T., Viskari, T., Verbeeck, H., Weng, E., Xu, C., Xu, X., Zhang, T., & Moorcroft, P. R.
Affiliations
  • NSF National Center for Atmospheric Research (US)
  • Lawrence Berkeley National Laboratory (US)
  • University of Utah (US)
  • Los Alamos National Laboratory (US)
  • Boston University (US)
  • The University of Texas at Austin (US)
  • University of Maryland, College Park (US)
  • University of Florida (US)
  • Embrapa (BR)
  • University of Notre Dame (US)
  • Smithsonian Tropical Research Institute (PA)
  • Brookhaven National Laboratory (US)
  • Japan Agency for Marine-Earth Science and Technology (JP)
  • Lund University (SE)
  • Princeton University (US)
  • Ghent University (BE)
  • Columbia University (US)
  • Harvard University (US)
Corresponding author
Fisher, Rosie A.
Venue
Global Change Biology
Publisher
Wiley
Published
2017-10-24
Volume
24
Issue
1
Pages
35-54
ISSN
  • 1354-1013 (ISSN-L)
  • 1365-2486
OpenAlex
W2755793808
Cited by
768
References
3
Citations by year
2026: 67 · 2025: 72 · 2024: 74 · 2023: 78 · 2022: 121 · 2021: 125 · 2020: 87 · 2019: 100 · 2018: 43 · 2017: 1
FWCI
6.18
Type
journal article
Language
en
Open access
Locations
  • Global Change Biology (publishedVersion)
  • PubMed (publishedVersion)
  • eScholarship (California Digital Library) (submittedVersion)
  • OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (submittedVersion)
  • ScholarWorks @ UTRGV (The University of Texas Rio Grande Valley) (submittedVersion)
  • Ghent University Academic Bibliography (Ghent University) (submittedVersion)
  • Lund University Publications (Lund University) (submittedVersion)
  • Smithsonian Digital Repository (Smithsonian Institution) (submittedVersion)
Funders
  • Division of Atmospheric and Geospace Sciences
  • Biological and Environmental Research
  • National Aeronautics and Space Administration (NNX14AH65G)
  • U.S. Department of Energy (DE‐SC0012704)
  • National Science Foundation (1521238)
  • Fundação de Amparo à Pesquisa do Estado de São Paulo (2015/07227‐6)
  • U.S. Department of Agriculture (11‐JV‐112423‐059, 16‐JV‐11242306‐050)
  • Tekniikan Edistämissäätiö (DE‐SC0014363)
Topics
  • Physical Sciences › Environmental Science › Global and Planetary Change › Plant Water Relations and Carbon Dynamics
  • Physical Sciences › Environmental Science › Nature and Landscape Conservation › Ecology and Vegetation Dynamics Studies
  • Physical Sciences › Environmental Science › Nature and Landscape Conservation › Forest ecology and management
Keywords
Earth system models, land surface model, plant physiological traits, gas exchange, ecosystem ecology, model uncertainty, ecosystem dynamics, ecophysiology
MeSH terms
Models, Biological, Plants, Population Dynamics, Ecosystem, Earth, Planet, Uncertainty

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