M.Biodiv.431: Vegetation Ecology: Applied Vegetation Ecology & Multivariate Analysis

6 Credits, 8 WLH

 

Learning outcome, core skills:

Problem oriented project management, practicing methods of data collection and multivariate data analysis in vegetation ecology, vegetation sampling in grasslands, determination of plants even in their vegetative state, induction into current topics on the diversity and dynamics of grassland ecosystems.

Gaining experience in the identification of vegetative and generative grassland plants, analysis and interpretation of multivariate data sets, ability to use software for the input and processing of vegetation ecological data and for ordination, studying in small groups and individually, preparation and presentation of posters, written presentation of scientific problems and results.

 

Courses:

  1. Lecture "Basics and methods of data collection and multivariate data analysis in vegetation ecology"
  2. Exercise "Grassland vegetation and multivariate vegetation analysis"

 

Examination:

Minutes / Lab report (max. 15 pages)


Examination prerequisites:

Poster presentation


Examination requirements:

Knowledge of vegetation ecological data collection and multivariate data analysis. Assessment and classification of grassland vegetation. Knowledge of current vegetation ecological topics on the diversity and dynamics of grassland ecosystems. Presentation of results in the form of a scientific publication.

 

Person responsible for module:

Prof. Dr. Erwin Bergmeier