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

Bibliographische Detailangaben
Veröffentlicht in:	Global change biology. - 1999. - 24(2018), 1 vom: 13. Jan., Seite 35-54
1. Verfasser:	Fisher, Rosie A (VerfasserIn)
Weitere Verfasser:	Koven, Charles D, Anderegg, William R L, 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
Format:	Online-Aufsatz
Sprache:	English
Veröffentlicht:	2018
Zugriff auf das übergeordnete Werk:	Global change biology
Schlagworte:	Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S. Review Earth System Model carbon cycle demographics dynamic global vegetation models ecosystem vegetation

Beschreibung
Zusammenfassung:	© 2017 John Wiley & Sons Ltd. 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
Beschreibung:	Date Completed 10.10.2018 Date Revised 10.12.2019 published: Print-Electronic Citation Status MEDLINE
ISSN:	1365-2486
DOI:	10.1111/gcb.13910