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DTSTART;TZID=US/Central:20080421T100000
UID:29311@events.unl.edu
DTSTAMP:20080414T151948
SUMMARY:Evaluation and Application of Predictive Habitat Modeling in Ecolo
 gy
DESCRIPTION:Justin D. Hoffman,  Advisor:  Dr. Patricia W. Freeman.  \nMy d
 issertation research is an important contribution to the growing field of
  predictive habitat modeling in ecology.  I investigate innovative approa
 ches for evaluating the performance of different predictive habitat model
 s and applying these methods to large scale ecological phenomena.  Severa
 l predictive habitat models currently exist.  It has been the focus of mu
 ch research to determine which is the best model(s).  However, much of th
 is research is undermined by biased data sets.  To resolve this issue, I 
 tested model performance with simulated data that is not prone to the usu
 al biases of real data sets.  In general, my results support the findings
  of previous studies in that models that accurately predicted species dis
 tributions with real occurrence data also showed superior performance usi
 ng simulated occurrence data.  Using the conclusions from the model evalu
 ation analysis as a basis, I applied these methods to two independent res
 earch questions.  I first identified certain variables that best predicte
 d the occurrence of chronic wasting disease (CWD) in Nebraska.  Chronic w
 asting disease is a newly emerging infectious disease found only in membe
 rs of the deer family (Family Cervidae).  Analysis of several different c
 ombinations of spatial, temporal, and environmental variables showed that
  the chance of recording a positive CWD case was greater the more time sp
 ent sampling and when that sampling was conducted in western Nebraska.  F
 or the second question, I predicted range expansion among six North Ameri
 can mammals and ascertaining what role environmental variables have in pr
 edicting those expansions.  I used two predictive habitat models combined
  with climate, land cover, and elevation variables to predict distributio
 ns.  I predicted range expansions accurately for two of the six species, 
 suggesting that other factors influenced the distributions of the remaini
 ng species.  My results demonstrate the applicability of predictive habit
 at modeling in ecology and provide insights into novel methods of evaluat
 ing model performance.
LOCATION:HARDIN HALL Room 207
URL:http://events.unl.edu/snr/2008/04/21/29311/
DTEND;TZID=US/Central:20080421T110000
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DTSTART;TZID=US/Central:20080421T140000
UID:29370@events.unl.edu
DTSTAMP:20080417T114941
SUMMARY:National Drought Mitigation Center Lecture
DESCRIPTION:Ahmed Boug; General Director, National Wildlife Research Cente
 r in Saudi Arabia.
LOCATION:HARDIN HALL Room 901 Hardin Hall Conf. Room
URL:http://events.unl.edu/snr/2008/04/21/29370/
DTEND;TZID=US/Central:20080421T150000
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BEGIN:VEVENT
DTSTART;TZID=US/Central:20080421T150000
UID:29368@events.unl.edu
DTSTAMP:20080417T082425
SUMMARY:Applied Sciences Group Graduate Seminar Series
DESCRIPTION:"Community Drought Planning"\nMelissa Melvin, Advisor:  Dr. Do
 nald Wilhite
LOCATION:HARDIN HALL Room 901 Hardin Hall Conference Room
URL:http://events.unl.edu/snr/2008/04/21/29368/
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