Stephanie Pau, Principal Investigator
Stephanie is an Associate Professor starting in the Department of Geography and Department of Environmental Science, Policy, and Management at UC Berkeley in January 2024. Her research investigates the diversity and productivity of forests, savannas, and grasslands, and how they are impacted by climate change. Much of her work is underpinned by questions of how and why species and communities are distributed along environmental gradients, and the consequences for ecosystem functions such as plant phenology and productivity. Email: [email protected]
Stephanie is an Associate Professor starting in the Department of Geography and Department of Environmental Science, Policy, and Management at UC Berkeley in January 2024. Her research investigates the diversity and productivity of forests, savannas, and grasslands, and how they are impacted by climate change. Much of her work is underpinned by questions of how and why species and communities are distributed along environmental gradients, and the consequences for ecosystem functions such as plant phenology and productivity. Email: [email protected]
Craig Anderson, Ph.D. student
Craig is researching the application of machine learning to better predict plant phenology. He is working on creating and maintaining applications that identify vegetation growth forms and phenophases using mounted cameras (e.g., PhenoCams). He hopes to spark interest in the topics of ecology, remote sensing, and machine learning for future scientists. Email: [email protected]
Craig is researching the application of machine learning to better predict plant phenology. He is working on creating and maintaining applications that identify vegetation growth forms and phenophases using mounted cameras (e.g., PhenoCams). He hopes to spark interest in the topics of ecology, remote sensing, and machine learning for future scientists. Email: [email protected]
Nancy Nthiga, Master's student
Nancy's research interest is in the application of satellite remote sensing to predict shifts in forest phenology that affect the structure and long-term dynamics of natural communities to develop proper responses to future climate change. Her broader research interests include biodiversity conservation, biogeography, tropical ecology, ecosystem management, forest sustainability and climate change.
Nancy's research interest is in the application of satellite remote sensing to predict shifts in forest phenology that affect the structure and long-term dynamics of natural communities to develop proper responses to future climate change. Her broader research interests include biodiversity conservation, biogeography, tropical ecology, ecosystem management, forest sustainability and climate change.
Ryan Slapikas, Ph.D. candidate
Ryan is researching lineage-based spectral traits of grasses and scaling airborne hyperspectral data to satellite data to assess phenology metrics across larger gradients. Ryan’s research interests also entail invasive species distribution, biogeography, machine learning, and object-detection. Email: [email protected]
Ryan is researching lineage-based spectral traits of grasses and scaling airborne hyperspectral data to satellite data to assess phenology metrics across larger gradients. Ryan’s research interests also entail invasive species distribution, biogeography, machine learning, and object-detection. Email: [email protected]
Shannon Bayliss, Ph.D, Postdoctoral researcher
Shannon’s research examines how plant trait variation is distributed on the landscape and the role this variation plays in ecosystem processes like productivity and water-cycling. She also incorporates genetic variation into spatial models to make more informed predictions of how climate change will affect species ranges and ecosystem functioning. Email: [email protected]
Shannon’s research examines how plant trait variation is distributed on the landscape and the role this variation plays in ecosystem processes like productivity and water-cycling. She also incorporates genetic variation into spatial models to make more informed predictions of how climate change will affect species ranges and ecosystem functioning. Email: [email protected]
Past group members:
Nicole Zampieri, graduate student
Loury Migliorelli, graduate student
Courtney Angelo, postdoctoral researcher
Trina Merrick, postdoctoral researcher
Angela Beck, field technician
Christa Nicholas, field technician
Theresa Kimnoy Aten, field technician
Amberly Pigao, field technician
Jermy Uowolo, field technician