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Dgvms commonly simulate a variety of plant and soil physiological processes To do this, it represents the landscape as a grid and simulates how vegetation grows and responds to climate and wildfire in each grid cell at a monthly time step. The processes simulated by various dgvms are summarized in the table below.
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The mc2 dynamic global vegetation model (dgvm) simulates ecosystem processes and their response to climate change These models mathematically represent the global biosphere and are also able to model vegetation dynamics, that is, the transient development of vegetation composition and structure. It has been used in a wide range of climate model and assessment applications, from fire severity to the economics of timber harvest.
We categorise dgvms into four groups
Individual, average area, two dimensional cohort and one dimensional cohort models From this we review popular methods used to represent dynamic vegetation within the context of earth system modelling. Dynamic global vegetation models (dgvms) dynamic global vegetation models aim to use biophysical principles to predict how vegetation is influenced by climate, soils and disturbances. The ability to model vegetation dynamics is an important aspect of dgvms in that it allows for prognostic and paleo use, this also means that the design of dgvms is geared towards modelling potential vegetation.
In this chapter, dynamic global vegetation models (dgvms) are described
