4.8 Review

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

Journal

GLOBAL CHANGE BIOLOGY
Volume 24, Issue 1, Pages 35-54

Publisher

WILEY
DOI: 10.1111/gcb.13910

Keywords

carbon cycle; demographics; dynamic global vegetation models; Earth System Model; ecosystem; vegetation

Funding

  1. Division of Atmospheric and Geospace Sciences
  2. Biological and Environmental Research
  3. NASA Terrestrial Ecology [NNX14AH65G]
  4. United States Department of Energy [DE-SC0012704]
  5. National Science Foundation
  6. FAPESP [2015/07227-6]
  7. U.S. National Science Foundation Hydrological Science [1521238]
  8. USDA [11-JV-112423-059, 16-JV-11242306-050]
  9. US Department of Energy, Office of Science, Office of Biological and Environmental Research, Terrestrial Ecosystem Science (TES) [DE-SC0014363]
  10. Direct For Biological Sciences
  11. Div Of Biological Infrastructure [1458021] Funding Source: National Science Foundation
  12. Directorate For Geosciences
  13. Division Of Earth Sciences [1521238] Funding Source: National Science Foundation
  14. NASA [682497, NNX14AH65G] Funding Source: Federal RePORTER

Ask authors/readers for more resources

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.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.8
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available