LPJ-GUESS Education 3.0 User's Guide

LPJ-GUESS processes and components

Smith et al. (2001). Contains the original description of LPJ-GUESS (referred to as GUESS in the paper). Equations are shown in the online appendix.
Hickler et al. (2004) expand on the vegetation dynamics approach in cohort mode and the parameterisation of tree species differing in life history attributes such as shade-tolerance.
Photosynthesis, stomatal conductance and evapotranspiration follow the approach of the BIOME3 model, described in Haxeltine & Prentice (1996).
Plant growth and allocation, and vegetation dynamics in population mode, follow the approach of LPJ, described in Sitch et al. (2003).
Hydrology follows the approach implemented by Gerten et al. (2004) in LPJ.
Thonicke et al. (2001) describe the wildfire disturbance model incorporated within LPJ-GUESS.
Hickler et al. (2012) provide (in Appendix S2) the rationale for a number of revised PFT parameter values in the model.
Smith et al. (2014) (open-access) describe the implementation of N cycling, C-N interactions, soil organic matter dynamics based on the CENTURY model and other updates in LPJ-GUESS Version 3.0. The appendix provides a fairly comprehensive overview of the whole model.

Piao et al. (2013) evaluate vegetation productivity and ecosystem carbon balance simulated by 10 global models, including LPJ-GUESS, in comparison to upscaled flux measurements and results from ecosystem warming experiments.
Murray-Tortarolo et al. (2013) (open-access) compare leaf area index patterns from eight models, including LPJ-GUESS, with satellite observations.
Tang et al. (2012) compare simulated forest type distributions in northeastern USA with actual land cover and examine the sensitivities of each forest type to temperature and precipitation change.
Zaehle et al. (2014) (open-access) compare responses to elevated CO₂ simulated by 11 models, including LPJ-GUESS, with measurements from free-air CO₂ enrichment (FACE) experiments in temperate forest.
Ahlstöm et al. (2012) attribute interannual variation in terrestrial ecosystem carbon balance, reflected in atmospheric measurements, to drivers and global regions.

Ahlström et al. (2012) (open-access) project and attribute impacts of IPCC-AR5 future climate projections on regional and global ecosystem carbon balance.
Hickler et al. (2008) predict the impact of elevated CO₂ treatment, implemented experimentally in temperate forest FACE experiments, to boreal and tropical forests.
Wramneby et al. (2010) quantify vegetation-mediated biogeophysical feedbacks to climate in a future forcing scenario for Europe.
Parmentier et al. (2013) predict impacts of reduced sea ice extent on methane emissions from Arctic ecosystems.
Jönsson et al. (2013) assess consequences of alternative management strategies for production, damage and economic returns from forestry under climate change.