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Résumé :
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There is growing interest in the potential use of autonomous recording units (ARUs) to obtain point-count bird survey data in the absence of human observers. To determine possible reasons for differences in the point-count performances of humans and ARUs and to better understand the possible limitations of ARUs, we compared the results of point-counts conducted by human observers with those conducted using ARUs. Human observers and ARUs recorded birds at 56 point-count stations in three different habitats (green mixed-conifer forest, burned mixed-conifer forest, and mixed riparian cottonwood bottomland). Combined, human observers and ARUs generated a total of 858 detections of 86 different species. We found that 9.7% of detections were recorded by ARUs only, 40.9% by human observers only, and 49.4% by both ARUs and humans. The mean number of species detections per point was significantly greater for human observers (13.8) than for ARUs (9.1), and did not differ significantly among habitat types. Birds not detected using ARU recordings included those with songs or calls too distant to be recorded (52.7%), those detected by human observers using only visual cues (14.8%), and those too difficult to identify from recordings (10.3%) or simply overlooked (8.8%). About two-thirds (68.7%) of birds detected using ARUs, but missed by human observers in the field, were simply overlooked in the field; most of the rest were the result of misidentification in the lab. The failure of ARUs to record a large proportion of the detections recorded by human observers, combined with problems with detecting or identifying sounds in the lab and the extra time and cost associated with use of ARUs, suggest that they would not provide a cost-effective means of gathering data for traditional point-count surveys.
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