What determines recruitment of new trees in U.S. forests?

Many processes determine what species of trees exist within a given forest, and how big those trees are. "Recruitment" is perhaps one of the most understudied these processes. Recruitment specifically refers to the adding of new individuals to a population. It involves seed production by mature trees, seed dispersal, and the early growth phases of young seedlings and saplings. In this project, you will test a hypothesis that is commonly made in forest dynamics models: that rates of recruitment are proportional to growth rates of mature trees. To do this, you will use an existing, publicly-available database published by the U.S. Forest Service. You will analysis this large, complex dataset using analysis tools such as R. This indepenent computational work will be complemented and supported by weekly meetings with Dr. Medvigy and/or his senior lab members.

Name of research group, project, or lab
The Medvigy Lab
Why join this research group or lab?
  • Regular in-person meetings
  • Personalized mentoring
  • High degree of undergraduate student ownership of the project 
Representative publication
Logistics Information:
Project categories
Biological Sciences
Student ranks applicable
First Year
Sophomore
Junior
Student qualifications

The project involves computational work. Past courses in ecology and/or computational methods would be helpful, but are not essential. The only true pre-requisite is a strong interest in computational ecology. 

Hours per week
1 credit / 3-6 hours
Compensation
Research for Credit
Number of openings
1
Techniques learned

Students will develop facility with computational tools such as R.

Contact Information:
Mentor
dmedvigy@nd.edu
Principal Investigator
Name of project director or principal investigator
David Medvigy
Email address of project director or principal investigator
dmedvigy@nd.edu
1 sp. | 0 appl.
Hours per week
1 credit / 3-6 hours
Project categories
Biological Sciences