A latent capture history model for digital aerial surveys

Biometrics
D L BorchersRachel M Fewster

Abstract

We anticipate that unmanned aerial vehicles will become popular wildlife survey platforms. Because detecting animals from the air is imperfect, we develop a mark-recapture line-transect method using two digital cameras, possibly mounted on one aircraft, which cover the same area with a short time delay between them. Animal movement between the passage of the cameras introduces uncertainty in individual identity, so individual capture histories are unobservable and are treated as latent variables. We obtain the likelihood for mark-recapture line transects without capture histories by automatically enumerating all possibilities within segments of the transect that contain ambiguous identities, instead of attempting to decide identities in a prior step. We call this method 'Latent Capture-history Enumeration' (LCE). We include an availability model for species that are periodically unavailable for detection, such as cetaceans that are undetectable while diving. External data are needed to estimate the availability cycle length, but not the mean availability rate, if the full availability model is employed. We compare the LCE method with the recently-developed cluster capture-recapture method (CCR), which uses a Palm likelihood app...Continue Reading

References

Jul 21, 2007·Biometrical Journal. Biometrische Zeitschrift·Ushio TanakaDietrich Stoyan
Jul 13, 2013·Biometrics·Simon J Bonner, Jason Holmberg

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