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

Research output: Contribution to journalReview article

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.

Details

Authors
  • Rosie A. Fisher
  • Charles D. Koven
  • William R.L. Anderegg
  • Bradley O. Christoffersen
  • Michael C. Dietze
  • Caroline E. Farrior
  • Jennifer A. Holm
  • George C. Hurtt
  • Ryan G. Knox
  • Peter J. Lawrence
  • Jeremy W. Lichstein
  • Marcos Longo
  • Ashley M. Matheny
  • David Medvigy
  • Helene C. Muller-Landau
  • Thomas L. Powell
  • Shawn P. Serbin
  • Hisashi Sato
  • Jacquelyn K. Shuman
  • Anna T. Trugman
  • Toni Viskari
  • Hans Verbeeck
  • Ensheng Weng
  • Chonggang Xu
  • Xiangtao Xu
  • Tao Zhang
  • Paul R. Moorcroft
Organisations
External organisations
  • National Center for Atmospheric Research
  • Lawrence Berkeley National Laboratory
  • University of Utah
  • Los Alamos National Laboratory
  • Boston University
  • University of Maryland
  • Florida Museum Natural History
  • Embrapa Agricultural Informatics
  • University of Notre Dame
  • Smithsonian Tropical Research Institute
  • Brookhaven National Laboratory
  • Japan Agency for Marine-Earth Science and Technology
  • Princeton University
  • Ghent University
  • Columbia University
  • Harvard University
  • University of Texas
Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Climate Research
  • Environmental Sciences
  • Ecology

Keywords

  • carbon cycle, demographics, dynamic global vegetation models, Earth System Model, ecosystem, vegetation
Original languageEnglish
Pages (from-to)35-54
Number of pages20
JournalGlobal Change Biology
Volume24
Issue number1
Publication statusPublished - 2018 Jan 1
Publication categoryResearch
Peer-reviewedYes

Bibliographic note

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