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TZUNTIL:20280326T010000Z
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DTSTART:20251026T030000
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RDATE:20271031T030000
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UID:www.bayceer.uni-bayreuth.de-bayceer-t175494id
DTSTAMP:20260828T210707Z
DESCRIPTION:In order to make nature restoration more effective\, better too
 ls for quantifying the effects of ecological restoration interventions – a
 nd environmental impacts more generally – are needed. Here\, I will presen
 t work from my PhD thesis on the application of Generalised Latent Variabl
 e Models (GLVMS) to modeling long term succession dynamics in species comp
 osition after restoration\, aimed at giving estimates of both the time to 
 recovery relative to a reference\, relative effectiveness of different tre
 atments\, and associated uncertainties.
DTSTART;TZID=Europe/Berlin:20260702T000000
DTEND;TZID=Europe/Berlin:20260702T235959
SUMMARY:Audun Rugstad\, Norwegian University of Science and Technology (Hom
 epage): How to evaluate the long-term effects of ecological restoration on
  species communities? A new model-based approach
TRANSP:TRANSPARENT
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