Course objectives:  This module will develop the basic numeracy and statistical skills required to conduct ecological research in a range of forested ecosystems. The approach will be to explore five different case studies which use robust methodologies to generate both parametric and non-parametric data. This will form the foundation for subsequent subject-specific modules, and the dissertation research.

Course contents: Analysis of a factorial experimental design to examine tree growth and form; assessment of annual rainfall probabilities and storm rainfall return periods; species accumulation curves for large sample characterization; effects of environmental variables on soil characteristics; multivariate analysis of forest sample data.

Teaching and learning methods: Two exercises each comprising one day of field data collection and one day of data analysis; three exercises comprising analysis of provided data from tropical locations and forests.

Examination: Five reports, each worth 20 % of module marks.  (1) Analysis of a factorial experimental design to examine tree growth and form.  (2)  Assessment of annual rainfall probabilities and storm rainfall return periods.  (3)  Species accumulation curves for large sample characterization.  (4) Effects of environmental variables on soil characteristics. (5) Multivariate analysis of forest sample data

Competences acquired: Ability to conduct ecological research using methodological frameworks generating both parametric and non-parametric data; ability to analyse and present ecological and environmental data in a formal and professional manner; ability to understand and be able to implement statistical tests for a range of ecological monitoring needs

 Course homepage: 

                  http://www.senr.bangor.ac.uk/courses/pg/course_summary.php?courseID=MEF&qual=msc&type=1