Search
US Forest Service Research & Development
Contact Information
  • US Forest Service Research & Development
  • 1400 Independence Ave., SW
  • Washington, D.C. 20250-0003
  • 800-832-1355
You are here: Home / People / Profile
Profile

R. Justin DeRose

Research Ecologist
507 - 25th Street
Ogden, UT 84401
Phone: 801-625-5795
Contact R. Justin DeRose


Current Research

Currently, my research focuses on the relationships between forest pattern and disturbance processes by integrating multiple scales of space and time. I also research forest growth yield modeling, carbon sequestration, fire behavior modeling, and dendrochronological applications to forest management.

Research Interests

In general, my research interests cover spatial scales from trees to stands to landscapes and temporal scales of nearly a millennia. Particular topics includes disturbance ecology, production ecology, growth and yield modeling, fire behavior modeling, dendroecology, dendrohydrology, and developing tools to influence forest management. For example, I am currently using the IM FIA annual data to model risk factors associated with spruce beetle outbreaks in order to provide managers with guidance on when, where, and how to treat Engelmann spruce forests.

Past Research

My research shifts the focus of forest management to larger scales by helping to understand how processes such as disturbance and climate shape forest ecosystems. In the face of climate change and rapidly shifting public perception of resource management, my research approach provides novel interpretation of pressing management issues.

Why This Research is Important

Previous research includes production ecology, growth and yield modeling, and disturbance interactions. While some of this past research is complete, I am still heavily involved in nearly every aspect of my current research interests.

Education

  • Utah State University, Ph.D. Ecology, 2009
  • University of Maine, MS Forestry, 2004
  • Utah State University, BS Forestry, 2002

Publications & Products

Research Highlights

HighlightTitleYear


RMRS-2012-11
Predicting Future Spruce Beetle Infestations

Scientists model the effects of increasing temperatures and forest stand conditions on the likelihood of spruce beetle infestation over time

2012


Last updated on : 02/19/2014