 Good afternoon, everyone. I'm Zhezhou Hao, our assistant research fellow from Chinese Academy of Forestry. I'm honored to present our work in this meeting. This is a paper published on the Forest Ecology and Management, and the co-responding author is Professor Wang. The topic of the paper is vegetation, structure, and temporality influence dominance and diversity and composition of forest acoustic communities. The soundscape of the urban forest can be quite rich. Here is a sound clip that I recorded in one of our recording plots, and we could find that there are different kinds of birds singing with some noise in the background, which is a typical soundscape in urban forest. And the two spectrum clearly show the bird and the insect, which are active during the day and night respectively. This is distinctly a different vocalization. We can see, in short, the bird calls are more variable than insect. So the bio acoustic provide us with a completely novel perspective to understand the relationship between the animals and the urban. So human activities interfere with the sounds transmission of birds or insect while rebuilding the habitats on which animals depend. In this study, we focused more on the vegetation properties of urban forests and the influence of the structure of a forest on acoustic communities. Animals are actively choosing the forest structure that is suitable for their vocalization when urban forest provide a living environment for wildlife. Based all above, we made two high process just showing on the screen. Four experiments were conducted in a forest park in Shenzhen, the source of China. Yangtai Shan forest park is one of the most important urban forest space in Shenzhen. Just showing the picture as a picture, the vegetation type are mostly subtropical evergreen broadleaf forests. And we select the east part of Yangtai Shan forest park as our study area. All the recording plots are met to a principle to ensure the represent of each plot. And the sonic environment were recorded by 10 audio recording divorces named SM4. We set up the schedule in the SM4 recording from September 2018 to May 2019. The program to collect one minute out of every 10 minutes. The devices was fixed on our train two meters from the ground as the picture shows. And at the same time, we took into account the weather condition on the day of the recording. So we removed the data on rainy or windy day. Finally, we got about 2,000 hours of reliable data. The text box showing just below was a three acoustic index we selected for the study to evaluate the biophony in terms of the dominance, the diversity, and the composition of the sounds, the soundscape. According to the sampling methods for the soil subtropical zone forest, we conduct a comprehensive investigation of the vegetation. You will see in the recording plots. Our vegetation structure variables are the focus of this study. So we wish mainly include the vertical and the horizontal structure of the forest. Using the liner mixed model, we found that under storage, under storage, this is originally the NDVI and the train high diversity all had the significant positive effect on phonic dominance during the whole day. And also we found a significant contribution of train high diversity and the third layer height was found in the phonic diversity and the day night top models just showing on the table. The RDA analysis was used to figure out the relationship between the phonic occupying different frequency bands and the vegetation structure variables. Three frequency bands cluster were identified during the day and night as a circled area. We can see the first access during the day and night was significantly derived by the NDVI, the train high diversity and the under storage basis richness, which means that these vegetation structural variables were most associated with the bifonic frequency composition. Finally, we came to the following conclusion. So the first one is the composition of the vocalizing spaces changes between day and night and the bifonic characters are affected by different layer of vegetation structure and vocalizing spaces of the similar habitat preference during the day and night. And the final one is the train high diversity as a critical variable affecting acoustic communities. So we also talked about the structure of the urban forest is very important in urban forest. So I think maybe our work use the soundscape with the acoustic method to prove some evidence for why we wish to build a more complex vertical structure in urban forest. So this is a paper I just described before. Okay, so this is my work and thank you. If you have any questions, I'm very welcome to answer.