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TZUNTIL:20141026T010000Z
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DTSTART:20121028T030000
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RDATE:20131027T030000
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DTSTAMP:20260820T035101Z
DESCRIPTION: \nEcological 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 h
 ardly be  differentiated. On the other hand\, ecosystems and landscapes cl
 early exhibit  structures and are far from being random ensembles of singl
 e entities.\nExperts often agree that some phenomena are more typical comp
 ared to  others for given systems\, although often without being able to g
 ive 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 hypo
 thesis 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 te
 mporal or  spatial patterns in landscapes\, e.g.\, of solute concentration
 \, groundwater  heads\, soil moisture\, or air moisture.\nThis 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 sugge
 sted for  environmental agencies to test for unexpected behaviour and to d
 ifferentiate  between natural and anthropogenic effects.\nLast but not lea
 st\, powerful  methods can be derived to test and to optimize the structur
 e of complex  ecosystem models and to deepen our knowledge of landscape pr
 ocesses.\n 
DTSTART;TZID=Europe/Berlin:20130214T170000
DTEND;TZID=Europe/Berlin:20130214T183000
SUMMARY:Prof. Dr. Gunnar Lischeid\, Inst. of Landscape Hydrology\, ZALF / I
 nst. for Earth and Environmental Sciences\, University of Potsdam (Homepag
 e): How many degrees of freedom does a landscape have? A new approach to g
 rasp apparent  ecosystem complexity.
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