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DTSTART:20251102T020000
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DESCRIPTION:Predicting population growth of the Rocky Mountain Apollo butte
 rflyPresenter: Stephen Matter\, PhD\, Professor\, Department of Biological
  Sciences and School of Environment and Sustainability\, University of Cin
 cinnatiDr. Matter received a Ph.D. from the University of Virginia\; Post-
 Docs: University of Helsinki\, Finland\, and University of Alberta\, Edmon
 ton\, Alberta\, Canada. He started at UC in 2002 and has been an adjunct\,
  visiting\, assistant\, associate\, and full professor.Ecologists are good
  at explaining past events with statistical models\, but less good at pred
 icting. However\, accurate predictive models are needed to address and pri
 oritize conservation. Using a 31-year time series for 17 interconnected po
 pulations to predict the effect of climate and weather on population growt
 h\, I illustrate how predictive models can be used to test and refine hypo
 theses.\nVirtualRegister for October 27th seminar
DTEND:20261027T173000Z
DTSTAMP:20261015T134449Z
DTSTART:20261027T163000Z
LOCATION:
SEQUENCE:0
SUMMARY:C4H Weathering Change Seminar: Predicting population growth of the 
 Rocky Mountain Apollo butterfly
UID:RFCALITEM639276686894733447
X-ALT-DESC;FMTTYPE=text/html:<h3>Predicting population growth of the Rocky 
 Mountain Apollo butterfly</h3><p><strong>Presenter: </strong>Stephen Matte
 r\, PhD\, Professor\, Department of Biological Sciences and School of Envi
 ronment and Sustainability\, University of Cincinnati</p><p>Dr. Matter rec
 eived a Ph.D. from the University of Virginia\; Post-Docs: University of H
 elsinki\, Finland\, and University of Alberta\, Edmonton\, Alberta\, Canad
 a. He started at UC in 2002 and has been an adjunct\, visiting\, assistant
 \, associate\, and full professor.</p><p>Ecologists are good at explaining
  past events with statistical models\, but less good at predicting. Howeve
 r\, accurate predictive models are needed to address and prioritize conser
 vation. Using a 31-year time series for 17 interconnected populations to p
 redict the effect of climate and weather on population growth\, I illustra
 te how predictive models can be used to test and refine hypotheses.\n</p><
 p><strong>Virtual</strong><br><a href="https://events.teams.microsoft.com/
 event/9bf4ab1d-7fbb-45c3-91bb-ce2d77894e78@f5222e6c-5fc6-48eb-8f03-73db182
 03b63?source=copyLinkLegacyShareLinkDialog" target="_blank" class="w-fit p
 ill-btn">Register for October 27th seminar</a></p>
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