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
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.
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.
The principles and practices of the scientific discipline of ecology. Interactions among organisms and between organisms and their environment will be emphasized. Interactions will be described and analyzed at the organismal, population, community, and ecosystem levels. In the laboratory, students will use hypothesis-testing and experimentation to examine theoretical and empirical aspects of ecology.
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.