Details

Autor(en) / Beteiligte

• 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.
• 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.

Titel

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

Ist Teil von

• Global change biology, 2018-01, Vol.24 (1), p.35-54

Ort / Verlag

England: Blackwell Publishing Ltd

Erscheinungsjahr

2018

Link zum Volltext

Quelle

Wiley Online Library Journals Frontfile Complete

Beschreibungen/Notizen

• 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. In this review, we summarize in detail the development of vegetation demographics models as components of Earth System Models. We particularly highlight the ecological uncertainties around the strength of growth‐resource acquisition feedbacks that are common across model developments, and illustrate the myriad new opportunities for ecological‐scale data streams to inform and validate these new model structures.