Agriculture Reference
In-Depth Information
30
D3
S1
25
D2
20
S2
S3
C1
15
C2
A2
D1
P1
P2
10
A1
C3
y = 0.13x + 6.29
R
2
= 0.79
5
0
0
20
40
60
80
100
120
140
160
Number of Vocalizations
Figure 14.3
. The relationship between avian species richness and the number of vocaliza-
tions identified from the acoustic samples. The letter and number near each point refers to an
MCSE system/replicate number in Figure 14.2.
a processor, a power supply to convert 12-V battery input to 5-V output, an
acoustic sensor (microphone), a web camera, a USB hub for additional sensors, a
2-GB flash card for local storage, a wireless communication card (802.11b), and
a waterproof case. Power was supplied via a 12-V deep cycle battery charged
using an 18-W solar panel.
We programmed the acoustic sensor to capture a 30-second acoustic sample
at 30-minute intervals, and to transmit the recording in WAV format to a local
server. The local server received approximately 100 MB of audio recordings each
day from each recorder. Recordings archived on the local server were subse-
quently transmitted daily to the web-based digital acoustic library hosted on a
laboratory-based server. These recordings are available at
http://lter.kbs.msu.edu/
The observatory integrates acoustic sensor technology, wireless networks, and
ecological applications using sound recordings from the field. This new assess-
ment tool for ecology and environmental science provides significant opportunities
to measure and interpret acoustic signals at relevant spatial and temporal scales
(Kasten et al. 2012).
