<p>You're entirely right that AudioMoth-based PAM does not easily lend itself to 3D localization nor to population estimates. At the same time, it can serve to characterize relative spatiotemporal changes.</p>
<p>A typical application of PAM beyond presence/absence is the description of&quot;phenology&quot;, or the study of temporal variations in calling behavior. For example, if your species of interest exhibits a dawn chorus pattern, you can ask yourself if that pattern will be readable on the call count chart. Repeat over several weeks and you should see the peak of the dawn chorus move gradually later/earlier in Spring/Fall. If you can afford the time and effort, deploy your AudioMoth's along an ecological gradient and measure how that temporal pattern varies spatially.</p>

CC BY-SA 4.0
2022-08-08T05:53:11.333Z
Hey! Thanks for your reply. Considering that I can do phenology/time of calling studies, do you think the second idea I had mentioned is worth looking into? Again, I will not be able to differentiate between flocking and non-flocking species.
akshay_birdwatch
CC BY-SA 4.0
2022-08-08T12:44:47.177Z
Yes, you could look at conditional probabilities P[X(t)|Y(t)] where X(t) is "at least one call detected from species X between t and t+delta" and same for Y. But remember that species classifiers such as BirdNET are susceptible to auditory masking. Calls from Y may mask X and thus lower detection rate ...
TL;DR assemblages are harder than phenology
lostanlen
CC BY-SA 4.0
2022-08-07T07:07:59.547Z
2022-08-07T07:07:59.547Z
lostanlen
<p>Just in case you don't already know, Burivalova et al (2021) show neat whole-soundscape changes related to logging. It might give you some ideas.</p>
<p>Burivalova et al (2021) &quot;<a href="https://www.sciencedirect.com/science/article/pii/S0006320720308703" rel="nofollow noreferrer">The sound of logging: Tropical forest soundscape before, during, and after selective timber extraction</a>&quot; Biological Conservation, 254, 108812</p>

CC BY-SA 4.0
2022-08-12T10:12:31.423Z
2022-08-12T10:12:31.423Z
EcologyTom
<p>I am a master's student working on mixed-species bird flocks in the eastern Himalayan tropical forests. For some administrative and interpersonal reasons, our lab has ended up with a bunch (~25) of <strong>Audiomoth</strong> devices with no clear use case. Since our primary research concerns the effect of logging, I had initially thought of the following possibilities of utilising the available devices:</p>
<ol>
<li>To examine if the denser undergrowth in logged forests (due to a more open canopy) drives birds to call from a higher height than in primary forests with sparse undergrowth.</li>
<li>Since I have data on mixed-species bird flocks, I wanted to test if there are ways to use PAM to get at inter-specific interactions (basically, compare flock observation data to an acoustic dataset of associations).</li>
</ol>
<p>Upon discussing this with a subject-matter expert, I was told that the Audiomoths are not a great way to perform idea #1. I am not sure of Idea #2 (I haven't discussed this with them). However, I was hoping to get your help in learning about what sort of questions can be addressed with PAM devices except from presence-absence studies (considering that any distance-from-recorder calculations aren't feasible).</p>
<p>I look forward to hearing the community's thoughts! Any references would be highly useful.</p>

<pam><audiomoth><annotations><passive>
Requesting your feedback on ideas regarding the utility of PAM devices
# Requesting your feedback on ideas regarding the utility of PAM devices

(Asked by: username_0 on 2022-08-06)

I am a master's student working on mixed-species bird flocks in the eastern Himalayan tropical forests. For some administrative and interpersonal reasons, our lab has ended up with a bunch (~25) of **Audiomoth** devices with no clear use case. Since our primary research concerns the effect of logging, I had initially thought of the following possibilities of utilising the available devices:

1. To examine if the denser undergrowth in logged forests (due to a more open canopy) drives birds to call from a higher height than in primary forests with sparse undergrowth.
2. Since I have data on mixed-species bird flocks, I wanted to test if there are ways to use PAM to get at inter-specific interactions (basically, compare flock observation data to an acoustic dataset of associations).

Upon discussing this with a subject-matter expert, I was told that the Audiomoths are not a great way to perform idea #1. I am not sure of Idea #2 (I haven't discussed this with them). However, I was hoping to get your help in learning about what sort of questions can be addressed with PAM devices except from presence-absence studies (considering that any distance-from-recorder calculations aren't feasible).

I look forward to hearing the community's thoughts! Any references would be highly useful.

**Tags:** pam, audiomoth, annotations, passive


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## 2 answers

### Answer by username_1 on 2022-08-07. Score: 3

You're entirely right that AudioMoth-based PAM does not easily lend itself to 3D localization nor to population estimates. At the same time, it can serve to characterize relative spatiotemporal changes.

A typical application of PAM beyond presence/absence is the description of"phenology", or the study of temporal variations in calling behavior. For example, if your species of interest exhibits a dawn chorus pattern, you can ask yourself if that pattern will be readable on the call count chart. Repeat over several weeks and you should see the peak of the dawn chorus move gradually later/earlier in Spring/Fall. If you can afford the time and effort, deploy your AudioMoth's along an ecological gradient and measure how that temporal pattern varies spatially.

> **Comments:**
> **username_0**: Hey! Thanks for your reply. Considering that I can do phenology/time of calling studies, do you think the second idea I had mentioned is worth looking into? Again, I will not be able to differentiate between flocking and non-flocking species.  
> **username_1**: Yes, you could look at conditional probabilities P[X(t)|Y(t)] where X(t) is "at least one call detected from species X between t and t+delta" and same for Y. But remember that species classifiers such as BirdNET are susceptible to auditory masking. Calls from Y may mask X and thus lower detection rate ... TL;DR assemblages are harder than phenology  

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### Answer by username_2 on 2022-08-12. Score: 2

Just in case you don't already know, Burivalova et al (2021) show neat whole-soundscape changes related to logging. It might give you some ideas.

Burivalova et al (2021) "[The sound of logging: Tropical forest soundscape before, during, and after selective timber extraction](https://www.sciencedirect.com/science/article/pii/S0006320720308703)" Biological Conservation, 254, 108812


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