Representation of vegetation dynamics in the modelling of terrestrial ecosystems: comparing two contrasting approaches within European climate space

By Benjamin Smith, I. C. Prentice, M. Sykes. 2008

1,101 citations recorded by the source corpus.

Subfields: Global and Planetary Change, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/16818da36cfa22078701f1f3dc3350ef4fd87f5d

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In Global and Planetary Change

In Nature and Landscape Conservation

Citations in the corpus

Advanced radiometry measurements and Earth science applications with the Airborne Prism Experiment (APEX) (2015, methodology): “Process models, for example dynamic global vegetation models (LPG-GUESS (Smith et al., 2001)), are unique tools to quantify the impact of environmental change on ecosystem functioning.”
Scaling from individual trees to forests in an Earth system modeling framework using a mathematically tractable model of height-structured competition (2015, methodology): “An important advantage of the DGVMs developed from gap models, such as HYBRID, LPJ-GUESS, SEIB, and ED, is that they include the mechanistic function of stem wood.”
A global scale mechanistic model of photosynthetic capacity (LUNA V1.0) (2016, methodology): “This concept has been incorpo- rated in different land surface models such as LPJ-GUESS (Smith et al., 2001) and LPJmL (Sitch et al., 2003).”
A quantitative review of relationships between ecosystem services (2014, methodology): “The relationships among multiple ES are either identified by statistical analysis of field data or by the analysis of the output process models such as LPJ-GUESS (Smith et al., 2001) or SWAT (Arnold et al., 1999) see e.g. Lautenbach et al. (2013).”
Differentiating plant functional types using reflectance: which traits make the difference? (2018, background): “Future hyperspectral missions such as Hypsiri (Roberts et al. 2012) and EnMAP (Stuffler et al. 2007) meet these criteria and are therefore expected to be of high value for mapping plant functioning.”
The dominant role of semi-arid ecosystems in the trend and variability of the land CO2 sink (2015, methodology): “Comparing different land cover classes, the GPP anomalies of semi-arid ecosystems alone contribute 39% in LPJ-GUESS and a median of 65% in the TRENDY model ensemble to global NBP IAV (fig.”
TRY – a global database of plant traits (2011, neutral): “, 2001), LPJ-GUESS (Smith et al., 2001), LPJDGVM (Sitch et al.”
Assessing agricultural risks of climate change in the 21st century in a global gridded crop model intercomparison (2013, neutral): “Proc Natl Acad Sci USA 101(27):9971–9975.”