Assumptions and practical considerations in the design and interpretation of echolocation-monitoring studies

TLDR

Bat detectors are increasingly used to study bat ecology and behavior, yet many implicit assumptions—often unstated and unrecognized—underlie these studies, and the validity of inferences depends on how well these assumptions are met, making their recognition crucial for study design and interpretation. The paper outlines six key assumptions underlying most echolocation‑monitoring studies and emphasizes that accounting for temporal, spatial, and sampling variation is essential for designing robust studies that meet these assumptions.

Abstract

Bat detectors increasingly are used in studies of the ecology and behavior of bats. A number of assumptions are implicit to these studies, although these assumptions rarely are stated explicitly and sometimes are not recognized by researchers. The strength of inference resulting from echolocation-monitoring studies is, in part, a function of the extent to which underlying assumptions are met. Recognition of underlying assumptions is thus an important facet of the design and interpretation of echolocation-monitoring studies. In this paper, I outline and discuss six key assumptions underlying most echolocation-monitoring studies. Accounting for sources of temporal, spatial, and sampling variation is key for designing robust studies and for meeting the assumptions underlying echolocation-monitoring studies.