812380 Multi-scale modelling and system dynamics in aquatic ecosystems (in Eng.)

Art
Vorlesung und Übung
Semesterstunden
1.5
Vortragende/r (Mitwirkende/r)
Zitek, Andreas , Sendzimir, Jan , Melcher, Andreas , Kowal, Johannes Luca
Organisation
Angeboten im Semester
Sommersemester 2025
Unterrichts-/ Lehrsprachen
Englisch
Lehrinhalt

this lecture is structured into 6 main topics and given by 4 lecturers from different insights:
(01) Introduction to multi-scale modelling and system analyses (Schmutz and Melcher; 1 unit)
(02) Large scale quantitative models EFI, SBM (Schmutz and Melcher; 3 units + 2 excercises)
(03) Cause effect models, DIPSIR, Dynalearn (Zitek; 3 units + 2 excercises)
(04) Typology and timeseries (Melcher; 3 units + 2 excercises)
(05) Semi-quantitative models, VENDSIM (Sendzimir; 3 units + 2 excercises)
(06) Final discussion and written exam (Melcher, 1 unit)
Inhaltliche Voraussetzungen (erwartete Kenntnisse)

basics in applied limnology, statistics and data management
Lehrziel

After successful completion of this lecture, participants are able to:

•Understand fundamentals of applied ecosystem statistics and modeling at different spatial and time scales;
•Incorporate information of different kinds (quantitative and qualitative) and from different perspectives (natural and social science) in research and decision-making related to managing aquatic ecosystems;
•To understand and to identify the main elements and processes features of applied aquatic ecosystems modeling and to structure and relate them in a hierarchical manner. The conceptual causal modelling unit follows hereby the concepts of hierarchy theory supported by qualitative reasoning as means for qualitative causal simulations.
•Sharpen their statistical intuition and abstract reasoning as well as their reasoning from numerical data through ecology-based and other research (sociology, adaptive management).
•Demonstrate critical thinking in interpreting and deriving conclusions from environmental and ecological data-sets.
Noch mehr Informationen zur Lehrveranstaltung, wie Termine oder Informationen zu Prüfungen, usw. finden Sie auf der Lehrveranstaltungsseite in BOKUonline.