Vol. 41 No. 2 (2026)

Passive acoustic monitoring as a tool for studies of functional diversity in birds

Abstract

Passive acoustic monitoring (PAM) has become a key tool for studying avian ecology. However, studies applying PAM to functional diversity analyses remain scarce. Here, we describe the advantages of PAM for estimating functional diversity, as well as its limitations. We also review available approaches for incorporating imperfect detection into the estimation of functional diversity metrics, present a mathematical demonstration highlighting some limitations of currently used methods, and conduct simulations to evaluate the effects of using occupancy probabilities and true occupancy states as proxies for species occurrence in these estimations. As a case study, we analyzed bird assemblages obtained from an intensive acoustic monitoring survey (10 consecutive days) conducted in two forest types (native and exotic). Simulations showed that estimates based on occupancy probabilities more accurately recovered expected functional diversity than those based on observed matrices or latent occupancy states. In the empirical case study, accounting for imperfect detection altered inferences for some functional diversity metrics, particularly functional regularity. Overall, our results highlight the potential of PAM to explicitly integrate detection processes into functional diversity studies and suggest that occupancy probabilities provide a robust alternative for estimating functional diversity in bird communities.

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How to cite

Facundo X. Palacio, Daniela Zaffignani, Maila Scheffer (2026). Passive acoustic monitoring as a tool for studies of functional diversity in birds. El Hornero, Vol. 41 No. 2 (2026). https://doi.org/10.56178/eh.v41i2.1550

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License: CC BY-NC 4.0