Jeremy W. Lichstein Department of Ecology and Evolutionary Biology |
![]() |
|
|
I am a postdoctoral researcher with Steve Pacala at Princeton University. My main research interests are:
The future state of global ecosystems depends critically on how vegetation responds to climate, and how associated changes in carbon sequestration, evapotranspiration, and earth's surface albedo affect the atmosphere. Dynamic global vegetation models (DGVMs) are key components of coupled climate-carbon cycle models used to study these complex interactions. I, along with others in the Pacala lab, am working on a new DGVM that realistically represents biodiversity and competition among individual trees. This work builds on a forest dynamics model that we have recently developed. The model is based on an assumption of optimal space-filling by canopy trees, which we call the perfect plasticity approximation (PPA). The model is mathematically tractable, so that many aspects of its behavior can be solved for analytically. For example, I have derived expressions that predict the degree of local mixing among species adapted to different soil types. This type of analysis is not possible with other quasi-realistic forest models. Furthermore, the PPA is computationally efficient, so that global applications are practical. A prototype version of a PPA-based DGVM is still a few years off. In the meantime, I am collaborating with NOAA's Geophysical Fluid Dynamics Laboratory to improve their current DGVM by assimilating forest inventory and eddy covariance data. |
Selected publications
Lichstein, J.W., J. Dushoff, K. Ogle, A. Chen, D.W. Purves, J.P. Caspersen, and S.W. Pacala. 2009. Unlocking the forest inventory data: relating individual-tree performance to unmeasured environmental factors. Ecological Applications in press my CV |
|