Combining data from satellites, aircraft, and fieldwork helps further our basic understanding of ecology and allows for insight into conservation practices. I work across a large number of scientific fields and study locations, and consequently much of my work in this space is highly collaborative. My is in nonlinear statistical models, with particular focus on bridging the gaps between different scales of observations. Below is some select recent work.
Accurately characterizing the spatial distribution of species composition in the dense, Amazonian tropics has remained an open challenge. Here, we demonstrate that imaging spectroscopy can be used to map beta diversity, examine spectral similarity over large distances, and test ecological theory of species distributions.
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.
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.
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.
Socioeconomic factors combine with environmental drivers to shape the distribution of albizia, one of the most invasive tree species in Hawaii.
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.