Agriculture Reference
In-Depth Information
We used the AAOS to characterize four of the MCSE communities during
June 2007 to investigate the stability and efficiency of the recorders and the
integrity and quality of recordings, as well as to determine differences in sound-
scapes among the communities. The placement of the acoustic recorders, the
position of the local server (line power and internet access), and the location
of wireless routers used to transmit acoustic signals around tall vegetation to
the local server are given at http://lter.kbs.msu.edu/datasets/127. Automated
acoustic recorders were placed in Conventional, No-till, Poplar, and Early
Successional systems. Winter wheat had been planted in the Conventional and
No-till systems the previous fall. A recorder was deployed in three replicates
of each system for a total of 12 recorders. The automated recording system
collected 11,977 sound recordings, of which 11,777 recordings were valid.
Table 14.3 shows the sensor code, location where each sensor was placed, the
number of recordings, statistics for total acoustic energy measured by each
acoustic sensor, and the percentage of successful recordings. Two sensors mal-
functioned during the month-long test (MS04, MS17), whereas others did not
record for the entire time due to communication issues or battery failure. The
maximum possible number of recordings was 1440 for the month (48  × 30).
The Stargate-based acoustic sensors performed adequately during their first
field deployment at KBS LTER, although several communication and battery
Table 14.3. Details on the deployment of acoustic sensors in the KBS LTER MCSE. a
Sensor Code
Location
Number of
Recordings
Total Acoustic Energy
(watts kHz −1 )
Recording
Success (%)
Mean
Standard
Deviation
MS02
Poplar
930
1.50
0.25
65
MS03
Wheat b
1374
1.59
0.26
95
MS04
Poplar
c M
M
M
M
MS05
Wheat b
1151
1.53
0.25
80
MS06
Wheat b
1438
1.62
0.28
99
MS07
Early Successional
1426
1.54
0.24
99
MS09
Wheat b
1271
1.66
0.23
88
MS11
Early Successional
1151
1.70
0.28
80
MS12
Wheat b
1284
1.68
0.28
89
MS13
Wheat b
862
1.65
0.23
60
MS15
Early Successional
1090
1.57
0.31
76
MS17
Wheat b
M
M
M
M
a Details include sensor code, the system where each sensor was located, the number of recordings made during June
2007, statistics for total acoustic energy, and the success of each sensor to record 48 times per day for 30 days.
b Wheat includes both Conventional and No-till systems.
c M is missing observations due to faulty wireless transmission to server.
 
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