The BayCEER Colloquium is an interdisciplinary platform for students, scientists and interested citizens: Usually lectures are held weekly (during the lecture period) in the field of ecology and environmental sciences, which can then be discussed in plenary and in a relaxed atmosphere during the post-colloquium. You are welcome to bring your own lunch (brown bag lunch).

Programm Colloquium Summer 2024
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Scheduling upcoming semester and lecture archive BayCEER Kolloquium

Lecture series in Ecology and Environmental Research WS 2012/13

All lecture dates
Prof. Dr. Gunnar Lischeid
Inst. of Landscape Hydrology, ZALF / Inst. for Earth and Environmental Sciences, University of Potsdam (Homepage)
Thursday, 14.02.2013 17:00-18:30

How many degrees of freedom does a landscape have? A new approach to grasp apparent ecosystem complexity.

 

Ecological research has revealed a confusing interplay of a multitude of processes at different scales. It seems that ecosystems are extremely complex, difficult to understand, and different effects can hardly be differentiated. On the other hand, ecosystems and landscapes clearly exhibit structures and are far from being random ensembles of single entities.

Experts often agree that some phenomena are more typical compared to others for given systems, although often without being able to give a clear reason for that assessment. This provides some evidence that ecosystems are much more constrained than current theory and models would predict. The approach presented in this talk is based on the working hypothesis that landscapes are highly constrained systems which results in a low intrinsic dimensionality of landscape (or ecosystem) processes. That means that often only a small number of processes prevail the observed temporal or spatial patterns in landscapes, e.g., of solute concentration, groundwater heads, soil moisture, or air moisture.

This hypothesis can be tested. Furthermore, it provides a basis for very efficient ways to analyse ecosystem behaviour. Due to their ease of use, some are suggested for environmental agencies to test for unexpected behaviour and to differentiate between natural and anthropogenic effects.

Last but not least, powerful methods can be derived to test and to optimize the structure of complex ecosystem models and to deepen our knowledge of landscape processes.

 



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