Tara Rajaniemi, PhD

Professor

Biology

Curriculum Vitae

508-999-8223

508-999-8196

usbkbojfnjAvnbtte/fev

Violette Research 205A

Education

2001University of MichiganPhD
1995Florida State UniversityBA

Teaching

  • Plant Biology
  • Community Ecology
  • Experimental Design and Analysis

Teaching

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.

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.

Research

Research Interests

  • Root growth responses to competition
  • Effects of species interactions on community structure
  • Plant species distributions on coastal dunes

Select 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.

Request edits to your profile