Phil Brodrick

Understanding interactions using optimization and statistical learning

Understand interactions using optimization and statistical learning

Earth Systems

Combining data from satellites, aircraft, and fieldwork helps further our basic understanding of ecology and allows for insight into conservation practices.  Combining such a variety of scientific fields and study locations means that much of my work in this space is highly collaborative.  My emphasis typically lies in nonlinear statistical models, with particular focus on bridging the gaps between different scales of observations.  Below is some select recent work.

Mapped aboveground carbon stocks to advance forest conservation and recovery in Malaysian Borneo

Forest carbon stocks in Malaysian Borneo are some of the highest observed on the planet.  This mapping effort demonstrates not only the extreme values, but also the relatively high carbon of  logged forests, indicating a significant carbon sink potential with new conservation efforts.

Remotely sensed predictors of conifer tree mortality during severe drought

Changes in canopy water content can be used as an advance indicator of tree mortality.  We explore this relationship in a variety of conifer communities throughout the Sierra Nevada in California.

What mediates tree mortality during drought in the southern Sierra Nevada?

Tree mortality during drought is sensitive to a variety of environmental variables.  This study explores these impacts along an elevation gradient in Sequoia National Park in California.

Scale-dependence of environmental and socioeconomic drivers of albizia invasion in Hawaii

Socioeconomic factors combine with environmental drivers to shape the distribution of albizia, one of the most invasive tree species in Hawaii.

Progressive forest canopy water loss during the 2012–2015 California drought

California underwent a drought of historic proportions between 2012 and 2015, and the effects still resonate today.  This study explores trends in canopy water content in forests throughout the state.