Moose calf detection probabilities: quantification and evaluation of a ground-based survey technique
Abstract
Survey data improve population management, yet those data often have associated bias. We quantified one source of bias in moose survey data (observer detection probability, p), by using repeated ground-observations of calves-at-heel of radio-collared moose in Colorado, USA. Detection probabilities, which varied both spatially and temporally, were estimated using an occupancy-modelling framework. We provide an efficient offset for modelled...
Paper Details
Title
Moose calf detection probabilities: quantification and evaluation of a ground-based survey technique
Published Date
Apr 10, 2020
Journal
Volume
2020
Issue
2
Pages
1 - 1
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