Multi-Season Analysis with zero detection in one season
Posted: Thu Oct 06, 2016 3:34 pmI am new to PRESENCE and occupancy modeling and am still trying to learn this method. I have a question regarding multi-season analysis.
I have 40 sites that has been surveyed in 2 seasons, 10 and 14 survey occasions in season 1 and 2, respectively. I've used simple multi-season analysis (model parameterization: Seasonal occupancy and colonization, detection). However, I have a case that no animal was detected in any of the survey occasions during the first season, and therefor I get unreliable estimates as large as 1 or very close to 1, and of course detection probabilities of less than the critical value (<0.15).
Could anyone tell me please which parameterization of multi-season analysis should I use for cases that there are 0 detections in one season (which leads to unreliable detection probabilities)?
Or is applying mutli-season analysis appropriate for these cases?
Your opinions are much appreciated in advance.
Thank you.
I have 40 sites that has been surveyed in 2 seasons, 10 and 14 survey occasions in season 1 and 2, respectively. I've used simple multi-season analysis (model parameterization: Seasonal occupancy and colonization, detection). However, I have a case that no animal was detected in any of the survey occasions during the first season, and therefor I get unreliable estimates as large as 1 or very close to 1, and of course detection probabilities of less than the critical value (<0.15).
Could anyone tell me please which parameterization of multi-season analysis should I use for cases that there are 0 detections in one season (which leads to unreliable detection probabilities)?
Or is applying mutli-season analysis appropriate for these cases?
Your opinions are much appreciated in advance.
Thank you.