faculty
Tara Rajaniemi, PhD
Professor
Biology
Contact
508-999-8223
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Science & Engineering 333
Education
2001 | University of Michigan | PhD |
1995 | Florida State University | BA |
Teaching
- Plant Biology
- Community Ecology
- Experimental Design and Analysis
Teaching
Programs
Programs
Teaching
Courses
Introduction to experimental design & statistical analysis of data in the biological sciences. Topics include design of experiments to yield valid & reliable conclusions; methods to summarize data numerically & graphically; and statistical techniques to test hypotheses involving one or two variables.
A laboratory applying principles of experimental design and statistical analysis to concepts in ecology and evolution. Given questions in ecology and evolution, students propose hypotheses and design and conduct experiments in the lab, in the field, or using computer simulations. Data is graphed and analyzed using appropriate analysis software.
A laboratory applying principles of experimental design and statistical analysis to concepts in ecology and evolution. Given questions in ecology and evolution, students propose hypotheses and design and conduct experiments in the lab, in the field, or using computer simulations. Data is graphed and analyzed using appropriate analysis software.
A laboratory applying principles of experimental design and statistical analysis to concepts in ecology and evolution. Given questions in ecology and evolution, students propose hypotheses and design and conduct experiments in the lab, in the field, or using computer simulations. Data is graphed and analyzed using appropriate analysis software.
A laboratory applying principles of experimental design and statistical analysis to concepts in ecology and evolution. Given questions in ecology and evolution, students propose hypotheses and design and conduct experiments in the lab, in the field, or using computer simulations. Data is graphed and analyzed using appropriate analysis software.
A laboratory applying principles of experimental design and statistical analysis to concepts in ecology and evolution. Given questions in ecology and evolution, students propose hypotheses and design and conduct experiments in the lab, in the field, or using computer simulations. Data is graphed and analyzed using appropriate analysis software.
Terms and hours to be arranged. Graded A-F.
Introduction to study in the disciplines of the College of Arts and Sciences. This course is designed to increase student success at college. The overall goal of the course is to facilitate a smooth transition to college life by engaging students in a structured curriculum of academic and life skills enhancement while, at the same time, encouraging the development of enduring relationships between students, faculty and advisors, and classmates. To accomplish this goal, the content of the class includes: locating and utilizing campus resources, the importance of co-curricular activity on campus, goal setting and time management skills, writing skills, test preparation and taking skills, critical and creative thinking skills, and career and major/minor exploration.
Research
Research interests
- Root growth responses to competition
- Effects of species interactions on community structure
- Plant species distributions on coastal dunes
Select publications
See curriculum vitae for more publications
- Rajaniemi, T.K., and Barrett, D.T. (2018).
Germination responses to abiotic stress shape species distributions on coastal dunes
Plant Ecology, 219, 1271-1282. - Rajaniemi, T.K., Goldberg, D.E., Turkington, R., and Dyer, A.R. (2012).
Local filters limit species diversity, but species pools determine composition
Perspectives in Plant Ecology, Evolution, and Systematics, 14, 373-380. - Rajaniemi, T.K. (2011).
Competition for patchy soil resources reduces community evenness
Oecologia, 165, 169-174.