Oliver Metcalf

This paper introduces an unsupervised method for estimating avian species richness from soundscape recordings, showing it outperforms traditional acoustic indices and automated identification models in hyperdiverse systems.

This study shows that anthropogenic disturbance inverts vertical microclimate stratification in Amazonian forests, with burned forests having hotter understory temperatures during the day and cooler temperatures at night compared to undisturbed forests.

This study evaluates how classification model accuracy affects the reliability of detecting avian vocalisation patterns in ecological datasets.