Development for Novel Approaches to Detect Invasion of Sika Deer Using Their Howls
Associate Professor Hiroto Enari, Ph.D. (Ecology/Environment)
Sika deer (Cervus nippon) often cause damage to agriculture. Among the damage to agriculture caused by wild mammals, the one by sika deer is most serious and damage cost has reached 6 to 7 billion yen (=$60 million) per year. Sika deer are also known as ecosystem engineer because their high feeding presser sometimes leads to the loss of biodiversity in native forests. In recent years, the expansion of sika deer distributions has begun to be confirmed also in heavy snow regions. Since the increase of deer population is really striking, it is difficult to regulate the population after the population enters the increasing phase of their population dynamics. Now, precautionary measures are urgently required during the initial stage of invasion, however, there was no effective approach to detect sika deer during the stage because there is a problem that deer in low density are not detected effectively with existing methods using the spotlight and camera-trap surveys. In this context, Enari developed 2 new approaches—Passive Acoustic Monitoring (PAM) and Active Acoustic Monitoring (AAM)—to detect male deer using their loud calls during the rut (i.e., fall).
These bio-acoustic population monitoring approaches are considered to enhance the future sika deer management by predicting the population expansion and the impacts on native vegetation and social industry.
Volume 79, August 2017, Pages 155-162
Hiroto Enari, Haruka Enari, Kei Okuda, Miho Yoshida, Takuya Kuno, Kana Okuda
Feasibility assessment of active and passive acoustic monitoring of sika deer populations.