Hi,
I fit some models via the conditional likelihood to data collected on linear and curvilinear trap arrays. In many cases, CVs around estimates of esa (a-hat) and density reported by "derived" are high (>0.40), but CVn is reasonable (<0.25).
I assume that the high CVs around the esa are partially attributable to small samples of recaptures at different traps, and possibly also variable movement rates among individuals. However, I was wondering if the curvilinear shape of the trap array (very high edge:area ratio) might also contribute to the high CVesa.
Thanks,
Eric