I'd hesitate to interpret sigma in such concrete terms. It is the spatial scale parameter of a particular detection model. I imagine you are using a halfnormal model. The probability is for capture in a particular trap in the absence of any competing traps. Then I get
r <- 80 # distance from activity centre
sigma <- 80
p <- exp(-r^2/(2*sigma^2)) # half normal, ignoring g0 for probability
relative to centre
Which is not 0.5. Use a different detection function and you'll get a different p result for given r, even when both give similar density estimates.