Dynamic global vegetation modelling: quantifying terrestrial ecosystem responses to large-scale environmental change

By I. C. Prentice, A. Bondeau, W. Cramer, S. Harrison, Thomas Hickler, Wolfgang Lucht, Stephen Sitch, Benjamin Smith, M. Sykes. 2007

326 citations recorded by the source corpus.

Subfields: Global and Planetary Change, Plant Science

View Paper: https://www.semanticscholar.org/paper/ae5279bb27111a348c59a80d3da8dc1138363973

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In Global and Planetary Change

In Plant Science

Citations in the corpus

Combined effects of climate and land‐use change on the future of humid tropical forests (2010, methodology): “The single emission scenario we used was considered moderate-high, but it has been exceeded by actual emissions (Raupach et al. 2007).”
Integrating plant–soil interactions into global carbon cycle models (2009, methodology): “The simulation of PAW in DGVMs is generally simple with soil divided into discrete layers or horizons and water percolating between them (e.g. Prentice et al. 2007).”
Towards novel approaches to modelling biotic interactions in multispecies assemblages at large spatial extents (2012, methodology): “…widely implemented in forest models (Bugmann, 2001; Lischke et al., 2006; Rüger et al., 2008) and dynamic vegetation models (Hickler et al., 2004; Prentice et al., 2007), where inter- or intra-specific competition for light, space and water (and in some cases nitrogen) are modelled via…”
Reliable, robust and realistic: the three R's of next-generation land-surface modelling (2014, methodology): “The land-surface component of5 many climate and Earth system models is therefore now a full DGVM, representing a cascade of processes with intrinsic time scales ranging from minutes to centuries, with asynchronous coupling to link faster and slower processes (Prentice et al., 2007).”
A protocol for an intercomparison of biodiversity and ecosystem services models using harmonized land-use and climate scenarios (2018, methodology): “The DGVMs are process-based models that simulate responses of potential natural vegetation and associated biogeochemical and hydrological cycles to changes in climate and atmospheric CO2 and disturbance regime (Prentice et al., 2007).”
Next-generation dynamic global vegetation models: learning from community ecology. (2013, background): “In practice, many of these sources of variability are not quantified in DGVMs and most models define PFTs using point estimates of parameters that describe plant traits (Prentice et al., 2007).”
A trait-based approach to comparative functional plant ecology: concepts, methods and applications for agroecology. A review (2012, background): “Predictions at all scales will also require an increased coupling to modelling approaches, from ecophysiological/ecosystem levels (e.g. Martineau and Saugier 2007; van Wijk 2007) to that of the whole biosphere (e.g. Prentice et al. 2007).”
Plant responses to rising vapor pressure deficit. (2020, background): “…ways, these include; carbon deficits via negative net primary production (NPP) or declines in growth efficiency and water stress via hydraulic failure, in addition to mortality via non-VPD related processes such as heat stress or light competition (Prentice et al., 2007; McDowell et al., 2011).”