Ecology, Earth System Science & Global Change Biology
How are trees like stock market players? In this effort supported by Princeton’s Grand Challenges program, we investigate the disparity between leaf-level models of water usage and community-level models, where trees compete for a common pool.
In collaboration with Kelly Caylor we are developing radically-affordable environmental sensing pods that are connected by the cellular network to the global internet.
Malin Pinsky, Morgan Tingley, and I are organizing the ESA Symposium “Climate and Beyond: Cumulative Impacts on Species Range Shifts”, to be held in Sacramento August 11-15
The National Science Foundation has funded a collaborative research project to consider the consequences of drought on individual tissues, on whole trees, in populations, and ecosystem fluxes.
In collaboration with Roland Brockers at JPL and Kelly Caylor of Princeton CEE, we were funded to develop capabilities to use a small quadrotor UAV that … Continue reading
Megafauna and Ecosystem Function: from the Pleistocene to the Anthropocene Conference at the University of Oxford, 18 – 20 March 2014 Oxford University’s Ecosystems Research … Continue reading
Good turnout for the special session “Drought Postmortem 2012″, and happy to present a poster on our drought modeling work “Implementation of diverse tree hydraulics in a land surface model”
An interview with Makerbot Stories, discussing 3D printing our PULSE – pods
Congrats to Chris Doughty who adapted our herbivore-mediated nutrient diffusion model to consider the effects of herbivore extinction on the development of early civilization!
On October 29, 2013 Adam and Kelly Caylor gave a talk at the Strata NYC conference, “Drought Prediction and Ecological Monitoring with the Internet of Things.” … Continue reading
Jackie Jones was a summer research intern, taking the lead in gas exchange measurements of tree species at Silas Little.
A pair of papers by myself, Chris Doughty and Yadvinder Malhi on the capacity for herbivores to spread nutrients over large spatial and temporal timescales.