執行成果摘要
One of the goals of ecologically sustainable forestry is the preservation of biological diversity in forest ecosystems. To achieve this aim, it is necessary to monitor to understand the causes of and predict changes in forest ecosystems, as well as timely prevent or mitigate the negative effects of human-induced rapid environmental changes. Passive acoustic monitoring via autonomous recording units (ARUs) could be a powerful way to assess biodiversity across large spatial and temporal scales; however, the spending of ARUs is high and it might reduce the budget of other program in the project. In this project, we plan to establish acoustic monitoring stations in representative forest habitats of Fushan Experimental Forest as well as clarify the 24 h temporal acoustic richness pattern of four different animal groups contributing energy to the soundscape (birds, anurans, insects, and mammals). Moreover, extracting meaningful information from recordings can be prohibitively time-consuming. Acoustic indices (i.e., a mathematical summary of acoustic energy) offer a relatively rapid method for processing acoustic data. Thus, we plan to examine the relationship between acoustic indices and the abundance of biological sounds in recordings and search meaningful acoustic indices to characterize biological communities. We also provide a second consideration on ARUs to those who are interesting in long term ecological monitoring study. The results of this project will provide a crucial reference for applications of passive acoustic monitoring on the environment and biodiversity on forest ecosystems.