LPJ-GUESS
A process-based dynamic vegetation-terrestrial ecosystem model
LPJ-GUESS, initially developed in the late 1990s, is a product of collaboration between Lund University in Sweden, the Potsdam Institute for Climate Impact Research, and the Max Planck Institute for Biogeochemistry in Jena, Germany. The model was designed to simulate the dynamics of vegetation in response to environmental changes, including climate, land use, and atmospheric CO2 concentrations.
Over the years, LPJ-GUESS has undergone several iterations, with continuous refinements and enhancements to incorporate new scientific findings and improve its predictive capabilities. Its development has been driven by the growing need for robust tools to assess the impacts of climate change and human activities on terrestrial ecosystems. LPJ-GUESS has become a widely used tool in the fields of ecology, biogeography, and climate science, contributing significantly to our understanding of the Earth's vegetation dynamics.
Process- and individual-based approach
LPJ-GUESS, standing for 'Lund-Potsdam-Jena General Ecosystem Simulator', is a dynamic global vegetation model renowned for its process- and individual-based approach. This model simulates the growth, distribution, and interactions of various plant functional types across the globe, accounting for factors such as climate, soil properties, land use, and atmospheric CO2 concentrations. LPJ-GUESS integrates advanced algorithms to simulate ecological processes, including vegetation dynamics, carbon and water cycling, and land-atmosphere interactions. Its comprehensive framework allows researchers to investigate complex ecological questions and assess the potential impacts of environmental changes on terrestrial ecosystems at both regional and global scales. Through its versatility and robustness, LPJ-GUESS continues to be a valuable tool for informing policy decisions and advancing our understanding of Earth's biosphere.
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Latest research output
This is an RSS feed featuring recent research that has utilized the LPJ-GUESS model.
Impacts of Tree Allometry on Structure, Composition, Functioning and Competitive Interactions in Savanna Ecosystems on the Northern Australian Tropical Transect
Impacts of Tree Allometry on Structure, Composition, Functioning and Competitive Interactions in Savanna Ecosystems on t...Environmentally-dependent wood density influences forest structure and dynamics in a demographic vegetation model
Environmentally-dependent wood density influences forest structure and dynamics in a demographic vegetation modelVoss, A...Evaluating biogeophysical sensitivities to idealized deforestation in CMIP6 models using observational constraints
Evaluating biogeophysical sensitivities to idealized deforestation in CMIP6 models using observational constraintsMileva...Plant phenology evaluation of CRESCENDO land surface models using satellite-derived Leaf Area Index - Part 2: Seasonal trough, peak, and amplitude
Plant phenology evaluation of CRESCENDO land surface models using satellite-derived Leaf Area Index - Part 2: Seasonal t...The impact of changing forest composition in Europe - longest carbon turnover time in unmanaged and broadleaved deciduous forests
The impact of changing forest composition in Europe - longest carbon turnover time in unmanaged and broadleaved deciduou...
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