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Vol. 53, 2014
Application of insect songs in monitoring population density
level of Locusta migratoria migratoria (Orthoptera: Acrididae)
Yinliang
Wang1, Qiuchen Huang2, Xue Zhang1 and
Bingzhong Ren1*
1Jilin
Key Laboratory of Animal Resource Conservation and Utilization, School
of Life Sciences, Northeast Normal University, Renmin St. 5268,
Changchun 130024, China
2School of Physics, Northeast Normal University,
Renmin St. 5268, Changchun 130024, China
Abstract
Background: The locusts Locusta migratoria migratoria (Orthoptera: Acrididae)
is the most destructive agricultural pests worldwide, the population
and distribution of L. migratoria
migratoria growing rapidly in recent years. It is crucial to
find a green, economical way to monitor this insect's population for
effective control tactics. In this study, acoustic samples were
recorded and analyzed under three different density levels of Asian
migratory locust L. migratoria
migratoria.
Results: The results showed that the songs of L. migratoria migratoria had a very
stable acoustic feature in time domains; then, we used duration of
pulse as a tool for identifying and counting the numbers of pulse to
classify the population size. After removing the background noises, an
automatic density classification and monitoring system was established
based on the backpropagation (BP) neural network. The field sample test
showed that the accuracy of the density level recognition reached
96.67%.
Conclusions: The results indicated
that the calling songs of insects could be an effective character to
distinguish population density level of locust plagues, and it could be
potentially used as a green and environmental protection solution in
monitoring the dynamics of locust plagues and other acoustic
agriculture pests.
Key words: Insect song; Asian migratory
locust; Monitoring system.
*Correspondence: E-mail: bzren@163.com
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