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SUMMARY:Unravelling ecological dynamics at a macro scale: application of h
 ierarchical models - Dr Tatsuya Amano\, Conservation Science Group
DTSTART:20111118T130000Z
DTEND:20111118T140000Z
UID:TALK33989@talks.cam.ac.uk
CONTACT:Dr. Belinda Gallardo
DESCRIPTION:Understanding and predicting ecological dynamics at a macro sc
 ale is crucial for the conservation of global biodiversity. But macro-scal
 e ecological studies usually rely on data\, such as volunteer-based monito
 ring data or natural history collections\, which tend to have inherent pro
 blems that need to be dealt with first. Hierarchical Bayesian models provi
 de a robust framework for tackling such problems in macro-scale ecological
  data. In this talk\, I will introduce the potential of hierarchical Bayes
 ian models using two examples of actual applications in my own work: estim
 ating long-term phenological changes in British plants and explaining vary
 ing effectiveness of organic farming in Japanese rice fields at a broad sc
 ale.
LOCATION:Part II Lecture Theatre\, Department of Zoology \, Downing Street
 \, CB2 3EJ
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