![]() Sound has been used to monitor vocalising animal populations for many years. ![]() As the precision is directly related to the power of detecting temporal trends or other effects in the subsequent inference, this metric evaluates design choices at the application level, and can capture tradeoffs that are missed by stage-specific metrics, thus enabling reliable comparison between different experimental designs and analysis methods. ![]() The proposed metric captured the tradeoff between missed calls (8% loss of precision when using the software) and faster data through-put (60% gain), while common metrics based on per-second agreement failed to identify optimal improvements and could be inflated by deleting data.ĭue to the flexibility of SCR framework, the approach presented here can be applied to a wide range of different survey designs. As a case study, we compare automated call recognition software with human annotations. We show that precision correctly measures tradeoffs involving sampling effort. ![]() We further demonstrate how SCR precision can be used to evaluate design choices on a field survey of little spotted kiwi ( Apteryx owenii). We illustrate these issues using simulations. In contrast, precision of the SCR density estimate can be optimised with fewer experiment-specific parameters. Specifically, we investigate precision (standard error of the final estimate) as a possible metric of survey performance, but we show that it does not lead to generally optimal designs in occupancy modelling. Here, we attempt to define and evaluate the effectiveness of surveys conducted in two common frameworks of population inference – occupancy modelling and spatially explicit capture-recapture (SCR). ![]() Furthermore, most metrics that are currently used are specific to a single stage of the survey workflow, and therefore may not reflect the overall effects of a design choice. However, no standard metric exists to evaluate the proposed changes. Methods for conducting and analysing such surveys, especially for performing automated call recognition from sound recordings, are undergoing rapid development. Passive acoustic surveys provide a convenient and cost-effective way to monitor animal populations. ![]()
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