Research Methods in Life Sciences Commons^™

Determining Species-Specific False-Positive Rates Using Visual And Auditory Cues: A Case Study With Sagebrush Steppe Songbirds, Amelia K. Evavold

Undergraduate Theses, Professional Papers, and Capstone Artifacts

Errors in wildlife field data threaten to bias resulting abundance and occupancy estimates if not properly accounted for or minimized. Methods to account for false-positive errors in wildlife data have not been as thoroughly developed as those for false-negative errors despite false-positives being present across diverse wildlife taxa and study systems. The calibration method to account for false-positives involves assessing the field detection method to determine how often false-positive errors occur in the field data. Rates can then be incorporated into estimations based on the field data to improve estimation accuracy. This study presents an application of the calibration approach …