Accommodating False Positives Within Acoustic Spatial Capture–Recapture, with Variable Source Levels, Noisy Bearings and an Inhomogeneous Spatial Density
نویسندگان
چکیده
Abstract Passive acoustic monitoring is a promising method for surveying wildlife populations that are easier to detect acoustically than visually. When animal vocalisations can be uniquely identified on an array of sensors, the potential exists estimate population density through spatial capture–recapture (ASCR). However, sound classification imperfect, and in some situations, high proportion sounds detected just single sensor (‘singletons’) not from target species. We present case study bowhead whale calls ( Baleana mysticetus ) collected Beaufort Sea 2010 containing such false positives. propose novel extension ASCR robust positives by truncating singletons conditioning being at least two sensors. allow individual-level detection heterogeneity modelling variable source level, model inhomogeneous call density, include bearings with varying measurement error. show via simulation produces near-unbiased estimates when correctly specified. Ignoring source-level variation resulted strong negative bias, while ignoring severe positive bias. The analysis indicated band higher approximately 30 km shore; 59.8% were estimated have been
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ژورنال
عنوان ژورنال: Journal of Agricultural Biological and Environmental Statistics
سال: 2023
ISSN: ['1085-7117', '1537-2693']
DOI: https://doi.org/10.1007/s13253-023-00563-0