Alpine Plant Ecology
University of Zurich, Spring Semester 2019, with Jordi Bascompte, Matthew Barbour, Miguel Fortuna, Luisjo Gilarranz, Carlos Melián.
This block course---aimed at bachelor (3rd year) and master students--- will be articulated around morning lectures and afternoon question-driven exercises. The lectures will provide an introduction to complex networks and their application to characterizing the structure and robustness of species interaction networks and spatial networks. The exercises will use a public repository of ecological networks that will be analyzed quantitatively by means of an open source interactive platform (Jupyter). These exercises will be complemented by the discussion of key papers. Overall, this course will provide a way to look at old ecological topics such as community robustness or habitat fragmentation with novel quantitative approaches. The course may also be of interest for students interested in applying network theory to other fields.
PhD in Ecology, Life Science Zurich Graduate School, Spring Semester 2016, with Christian Schöb.
The priority of nature conservation is to maintain and restore species and natural habitats of community interest. The aim of this course is to provide a broad overview over the basics of plant population, vegetation and ecosystem ecology essential to interpret the European Habitat Manual. The course combines lectures, practical and excursions. The most important habitat types of Switzerland will be described in the field. We will analyze biodiversity patterns and ecological processes, and their implication in a context of local-to-global environmental changes.
Plant Systematics and Identification
PhD in Ecology, Life Science Zurich Graduate School, Spring Semester 2015.
The most important plant Families of the European flora will be presented, and participants will learn how to use dichotomous keys. Students will understand the specifics of grasslands and influence of the management of grasslands; get to know the functional groups in a meadow; learn how to do a vegetation survey, to identify plants and have an idea of how to deal with uncertainties; learn how the data of a vegetation survey can be analyzed with specific statistical tools of univariate and multivariate analyses.