A comparison of statistical methods for deriving occupancy estimates from machine learning outputs

Abstract The combination of autonomous recording units (ARUs) and machine learning enables scalable biodiversity monitoring. These data are often analysed using occupancy models, yet methods for integrating machine learning outputs with these models are rarely compared. Using the Yucatán black howle...

Full description

Bibliographic Details
Published in:Scientific Reports
Main Authors: Lydia K. D. Katsis, Tessa A. Rhinehart, Elizabeth Dorgay, Emma E. Sanchez, Jake L. Snaddon, C. Patrick Doncaster, Justin Kitzes
Format: Article
Language:English
Published: Nature Portfolio 2025-04-01
Subjects:
Acoustic monitoring
Autonomous recording units (ARUs)
Biodiversity monitoring
Yucatán black howler monkey
Occupancy modelling
False-positive models
Online Access:https://doi.org/10.1038/s41598-025-95207-3

Internet

https://doi.org/10.1038/s41598-025-95207-3

Similar Items