Journal
JOURNAL OF ZOOLOGY
Volume 273, Issue 3, Pages 244-248Publisher
WILEY-BLACKWELL
DOI: 10.1111/j.1469-7998.2007.00320.x
Keywords
detection probability; non-detection; sample size; fragmented landscape; PRESENCE; Myodes glareolus; Mus musculus domesticus; Italy
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Making an inference on the absence of a species in a site is often problematic, due to detection probability being, in most cases, < 1. Inference is more complicated if detection probability, together with distribution patterns, vary during the year, since the possibility of inferring a species absence, at reasonable costs, may be possible only in certain periods. Our aim here is to show how such challenging situations can be by tackled by applying some recently developed occupancy models combined with sample size (number of repeated surveys) estimation. We thus analysed the distribution of two rodents Myodes glareolus and Mus musculus domesticus in a fragmented landscape in central Italy pointing out how it is possible to identify true absences, non-detections, extinctions/colonizations and determine seasonal values of detection probability.
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