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SUMMARY:A hierarchical\, multimodal\, movement model for assembling the tr
 acks of animal daily activity routines - Wayne Getz (University of Califor
 nia\, Berkeley)
DTSTART:20231109T113000Z
DTEND:20231109T120000Z
UID:TALK203962@talks.cam.ac.uk
DESCRIPTION:Animal movement tracks emerge from sequences of fundamental mo
 vement elements (FuMEs). The elements of a FuME time series are currently\
 , exceptionally difficult to parse out: rather\, we only observe a relocat
 ion points time series from which we can extract step length (SL) and turn
 ing angle (TA) time series. These time series can then be used to compute 
 various derived quantities\, such as radial and tangential velocities at e
 ach relocation point or auto correlations of variables along the &nbsp\;th
 e movement track. The statistics of such variables\, computed for fixed sh
 ort segments of track (e.g.\, 10-30 points)\, can then be used to categori
 ze such segments into statistical movement elements called StaMEs (previou
 sly called metaFuMEs). &nbsp\;These StaMEs then from the basis for constru
 cting corresponding step-selection kernels. Such kernels can be used in si
 mulation models to generate the tracks of canonical activity modes (CAMs: 
 various length sequences of the same StaMEs)\, and even larger diel activi
 ty routines (DAR: a mixed string of CAMs over a 24 hour cycle). Here we pr
 esent a multi-mode\, a priori defined\, step-selection kernel simulator (N
 umerus ANIMOVER 1)\, built using Numerus RAMP technology. We discuss metho
 ds for selecting kernel parameters that generate StaMEs comparable to thos
 e observed in empirical data\, thereby providing a means for simulating th
 e possible response of animal movement to landscape changes &nbsp\;We illu
 strate our methods for extracting StaMEs from both simulated and real data
 ---in our case the latter is movement data &nbsp\;of barn owls (Tyto alba)
  in the Hula Valley\, Israel. &nbsp\;The methods described here provide a 
 way to fit fine scale simulation data to movement models that can be used 
 to predict changes in the movement behavior of animals under global change
 .
LOCATION:Seminar Room 1\, Newton Institute
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