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DTSTAMP:20260416T230705
DTSTART:20121210T120000
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DTEND:20121210T120000
URL:https://murmitoyen.com/events/vanille/udem/detail/164834
LOCATION:Université de Montréal - Pavillon Marie-Victorin\, 90\, avenue V
 incent-d'Indy\, Montréal\, QC\, Canada\, H2V 2S9
SUMMARY:Searching for the fractal dimension of ecology : Bubbles\, Zooplank
 ton\, and Things that go Bump in the Night
DESCRIPTION:Conférence de Karen Fisher Favret\, chercheure invitée au Dé
 partement de sciences biologiques de l’Université de Montréal.Résumé
  Fractal statistics succinctly describe many natural distributions\, in bo
 th space and time. When Mandelbrot asked\, forty years ago\, 'How long is 
 the coastline of Britain?' he meant to bring the concepts of statistical s
 elf-similarity\, and fractional dimensions into the toolbox of all working
  scientists. The fractal dimension of a time series or spatial transect ch
 aracterizes the variance and multi-fractals characterize higher-order mome
 nts.Many systems have critical scales at which these dimensions change. A 
 critical scale indicates a switch from one mix of biological\, chemical\, 
 and physical factors to another. The wavelet transform offers a straight-f
 orward way to determine local fractal dimensions in large datasets. This t
 ool is extremely useful in ecology\, and offers a way to interrogate remot
 e-sensing data where in-situ data is lacking. It can then be used to gener
 ate interpolated fields that reflect observed characters of the variance i
 n the data. Here\, I will present results using the wavelet transform to c
 haracterize phytoplankton\, zooplankton\, and a number of physical feature
 s in their environments\, like bubbles and abrupt temperature gradients.I 
 will show how this method applies to flow-through fluorometers and high fr
 equency acoustic backscatter (sonar). I will also outline my plan to apply
  this approach to analyzing passive acoustics\, recordings of the soundsca
 pe above and below the water in Lac Cromwell at the SBL.Conférence prése
 ntée par le Département de sciences biologiques de l’Université de Mo
 ntréal dans le cadre de la série « Midi Écologique ».
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