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024 7 |a 10.1111/gcb.13910  |2 doi 
028 5 2 |a pubmed24n0919.xml 
035 |a (DE-627)NLM275924645 
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041 |a eng 
100 1 |a Fisher, Rosie A  |e verfasserin  |4 aut 
245 1 0 |a Vegetation demographics in Earth System Models  |b A review of progress and priorities 
264 1 |c 2018 
336 |a Text  |b txt  |2 rdacontent 
337 |a ƒaComputermedien  |b c  |2 rdamedia 
338 |a ƒa Online-Ressource  |b cr  |2 rdacarrier 
500 |a Date Completed 10.10.2018 
500 |a Date Revised 10.12.2019 
500 |a published: Print-Electronic 
500 |a Citation Status MEDLINE 
520 |a © 2017 John Wiley & Sons Ltd. 
520 |a 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 
650 4 |a Journal Article 
650 4 |a Research Support, Non-U.S. Gov't 
650 4 |a Research Support, U.S. Gov't, Non-P.H.S. 
650 4 |a Review 
650 4 |a Earth System Model 
650 4 |a carbon cycle 
650 4 |a demographics 
650 4 |a dynamic global vegetation models 
650 4 |a ecosystem 
650 4 |a vegetation 
700 1 |a Koven, Charles D  |e verfasserin  |4 aut 
700 1 |a Anderegg, William R L  |e verfasserin  |4 aut 
700 1 |a Christoffersen, Bradley O  |e verfasserin  |4 aut 
700 1 |a Dietze, Michael C  |e verfasserin  |4 aut 
700 1 |a Farrior, Caroline E  |e verfasserin  |4 aut 
700 1 |a Holm, Jennifer A  |e verfasserin  |4 aut 
700 1 |a Hurtt, George C  |e verfasserin  |4 aut 
700 1 |a Knox, Ryan G  |e verfasserin  |4 aut 
700 1 |a Lawrence, Peter J  |e verfasserin  |4 aut 
700 1 |a Lichstein, Jeremy W  |e verfasserin  |4 aut 
700 1 |a Longo, Marcos  |e verfasserin  |4 aut 
700 1 |a Matheny, Ashley M  |e verfasserin  |4 aut 
700 1 |a Medvigy, David  |e verfasserin  |4 aut 
700 1 |a Muller-Landau, Helene C  |e verfasserin  |4 aut 
700 1 |a Powell, Thomas L  |e verfasserin  |4 aut 
700 1 |a Serbin, Shawn P  |e verfasserin  |4 aut 
700 1 |a Sato, Hisashi  |e verfasserin  |4 aut 
700 1 |a Shuman, Jacquelyn K  |e verfasserin  |4 aut 
700 1 |a Smith, Benjamin  |e verfasserin  |4 aut 
700 1 |a Trugman, Anna T  |e verfasserin  |4 aut 
700 1 |a Viskari, Toni  |e verfasserin  |4 aut 
700 1 |a Verbeeck, Hans  |e verfasserin  |4 aut 
700 1 |a Weng, Ensheng  |e verfasserin  |4 aut 
700 1 |a Xu, Chonggang  |e verfasserin  |4 aut 
700 1 |a Xu, Xiangtao  |e verfasserin  |4 aut 
700 1 |a Zhang, Tao  |e verfasserin  |4 aut 
700 1 |a Moorcroft, Paul R  |e verfasserin  |4 aut 
773 0 8 |i Enthalten in  |t Global change biology  |d 1999  |g 24(2018), 1 vom: 13. Jan., Seite 35-54  |w (DE-627)NLM098239996  |x 1365-2486  |7 nnns 
773 1 8 |g volume:24  |g year:2018  |g number:1  |g day:13  |g month:01  |g pages:35-54 
856 4 0 |u http://dx.doi.org/10.1111/gcb.13910  |3 Volltext 
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952 |d 24  |j 2018  |e 1  |b 13  |c 01  |h 35-54