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Home > Projects > Forest Dynamics
Forest Dynamics

Forests contain two thirds of terrestrial biodiversity and store as much carbon and is currently in the atmosphere. We are combining new abstractions of forests, with various sources of data, via Bayesian statistics, to produce useful, predictive models of forest dynamics.

Our work in forest dynamics includes a number of projects, involving a number of international collaborators, spanning scales from the stand, through regions, to the globe. Throughout, the focus is on developing accurate, predictive models that could be usefully applied to improve our understanding of, and ability to manage, the world's forest resources. This research focus is led by Drew Purves. Currently active projects in forest dynamics include:

* Scaling from trees to forests

* Optimal forest management

* Understanding and predicting tree mortality

* Predictive modelling of forest VOC emissions

Predictive modelling of tropical deforestation

 

Relevant Publications