Found 8 relevant results in 2.72s where lecturer="Werner Eugster"
This course focuses on the interactions between ecology, biogeochemistry and management of agro- and forest ecosystems, thus coupled human-environmental systems. Students learn how environmental conditions but also human impacts on ecosystems via management influence the greenhouse gas exchange (fluxes) between atmosphere and biosphere.
Practical work using selected measurement techniques in meteorology and hydrology. The course consists of field work with different measuring systems to determine turbulence, radiation, soil moisture, evapotranspiration, discharge and the atmospheric state as well as of data analysis.
Different experimental designs will be discussed and various statistical tools will be applied to research questions in agroecosystem sciences. Statistical methods range from simple analysis of variance to mixed-models and multivariate statistics. Surveys and manipulative field and laboratory experiments are addressed and students learn to analyse data using a hands-on approach.
This course focuses on the interactions of global change, ecosystem processes, land use practices, politics, and society. Impacts of global change on forests and agro-ecosystems that will strongly affect sustainable resource use across the 21st century and responsible and smart solutions are addressed.
In the module "Integrative Plant Sciences", which consists of the online course and seminar "Plant Response to Stress" (PRESS) and the colloquium "Challenges in Plant Sciences" , the focus lies on interdisciplinarity, ranging from molecular biology and biochemistry to ecosystem research, and an integrated understanding of plants in their environments.
The interdisciplinary oline course "Plant Responses to Stress" (PRESS) allows students to become familiar with the basics of research in plant sciences , from the molecular to the ecosystem level.
This course introduces students to scientific work with data, covering the full workflow from importing datasets (e.g., from Excel) to performing basic statistical analyses and generating clear, scientifically accurate visualizations. Through hands-on exercises in R and RStudio, students gain practical experience in data analysis and the creation of meaningful graphical representations.
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