Dear all,

My interest is about the influence of temperament on the reproductive success in a squirrel population. For 9 years, the population has been monitored using Capture-Mark-Recapture procedure, 8 months a year (3 or 5 consecutive trapping days). The trapping grid consists of 104 live traps.

To access temperament traits indices, we want to classify each squirrel based on traps informations and home range size (activity center). All indices have been found biased due to the edge of the trapping grid (as individuals living close to the edge have underestimated temperament indices).

Then, I would like to input the spatial detection histories in SECR in order to estimate i) individual activity center (area) and ii) the part of individual home-range size which is outside of the trapping grid. This area will be useful as a (an edge effect) bias correction of temperament traits indices.

1) Does this approach (i.e using SECR at individual scale) make sense? I am concerned that the calculated home ranges truly match observed individuals.

2) Using fxi.contour and extractmode functions allow me to plot the contour of individual home-range and barycenter. Is there a way to obtain the value of each home-range size (square meter)? If not, are there any functions in SECR to calculate the area based on coordinates from individual polygon?

3) As an alternative way, what about using RPSV value (not pooled over individual indeed) as measurement of individual home-range size?

Thank you for your help!

C. Le Coeur