Bats are nocturnal, small and fast, which
makes accurate identification difficult. I have seen bats on site and recorded
some with my mobile bat detectors, but that depends on me being out in
the field every night and staying there long enough to pick up everything.
After all, not all bat species fly at the same time of night.
I began by looking at devices sold by
Wildlife Acoustics, such as the Song Meter. That got me interested in using
sound to identify species. These devices can now help identify bats, small mammals,
some insects and birds. Further research led me to the BTO acoustic pipeline, an
ambitious programme that analyses sound data and uses machine learning to
identify species.
The Batlogger S2 is a static logger controlled
by an app. The device is small, well-constructed, and easy to use, putting it
head and shoulders above the PippyG I had been trying to get to grips with.
That said, for the price and with a little perseverance, the PippyG is a good
bit of kit — as long as you can understand how to operate it.
The Batlogger app makes setting up the
device simple. Strap the unit to a tree with a clear recording area, then
activate it using the app. The app works on Android and iOS, connects to the
device via Bluetooth, and records its location using the phone’s GPS. You can also
schedule when the logger is active. It has an internal SD card, so there is no
need to keep swapping cards in and out, and it charges via a lead to your computer,
which is also how you download the data.
The data is saved as .wav files, which then
need to be analysed. I have used the free version of BatExplorer, but because I am
not trained in acoustics or bat identification, I found it difficult to use. It
looks like a powerful piece of software, with several ways to present the data,
but I needed something a little more approachable.
After experimenting, I opted to use the BTO
acoustic pipeline, partly because the analysis is accessible and partly because
my data can contribute to wider research, as my bird records
on BirdTrack do.
Acoustic analysis is very new to me, but
the data produced by the pipeline is clear and approachable. Each automatic
identification is given a probability score between 0 and 1. Reading through
the literature, the suggested threshold appears to be 0.5, with anything below
that disregarded. The statistician in me feels that 0.5 is too low, especially
given some of the species suggested in the results. So, for my own analysis, I
set two additional thresholds: 0.75 as an amber level, where a species has a
good chance of being correct, and 0.9 as a green level, where I felt the identification
was acceptable. To help with this, I aggregated the data from the two surveys I
ran in June and displayed the results as boxplots. This allowed me to look at
the median, mean and interquartile ranges for each record. The final factor I
considered was the number of contacts.
So, what species did I find?
After aggregating the data into Chiroptera and other species, for bats at the 0.5 level, 9 species were identified; at the 0.75 level, 8; and at the 0.9 level, 6.
I think it best to use a sensibly high figure as an ID value, so I am only accepting Common Pipistrelle and Soprano Pipistrelle as definitely present on the site, with Brown Long-Eared Bats, Leisler's, and Noctule as possibles. I now plan to review the literature to better understand the ecology of those species at my site.
In this analysis, only the Brown Rat fails to reach even the lowest level of acceptance. The other rodent species, like the Wood Mouse and Yellow-necked Mouse, are expected. Wood Mice are widely present on site, and although Yellow-Necked mice have not been identified, they are possible; it's hard to differentiate the two in trail camera footage.
This information gives me some interesting species identifications that warrant closer investigation. I now need to find ways to confirm the presence of Water Shrew and Harvest Mice.
I have only used the logger twice, and I need several more runs and practice with it before I feel more confident. I also really need to understand animal sounds better.
With every new device, my understanding of my patch increases.













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