Issue |
E3S Web Conf.
Volume 486, 2024
IX International Conference on Advanced Agritechnologies, Environmental Engineering and Sustainable Development (AGRITECH-IX 2023)
|
|
---|---|---|
Article Number | 07006 | |
Number of page(s) | 7 | |
Section | Biodiversity, Agroforestry and Ecosystem Stability for Sustaining the Natural Area | |
DOI | https://doi.org/10.1051/e3sconf/202448607006 | |
Published online | 07 February 2024 |
Passive acoustic monitoring as a way to assess daily dynamics of animal activity in urban green areas
RUDN University (Patrice Lumumba Peoples’ Friendship University of Russia), 6 Miklukho-Maklaya, Moscow, 117198, Russia
* Corresponding author: levik-ayu@rudn.ru
Fast process of urbanization makes it crucial to include cities in assessment of all global processes. Urban areas on the one hand are subjects to the high levels of anthropogenic influence. On the other hand, urban green areas could provide shelter for some species, inhabiting highly disturbed rural landscapes. The data on daily dynamics of activity is required to assess the impact of noise and light pollution on biodiversity. In this study we have checked the efficiency of passive acoustic monitoring (PAM) in assessing the daily dynamics of animal acoustic activity in city parks. We have identified the acoustic signals of birds on the records and calculated the time of each species acoustic activity. Moreover, we have conducted the classical birds’ survey to assess the efficiency of PAM. In order to evaluate the possibility of using acoustic indices to assess daily dynamics of acoustic activity, we have calculated NDSI, BI, ACI and ADI indices for each hour a day. We managed to acoustically detect 70% of species, found by route census by single recorder. NDSI (Normal Difference Soundscape Index) correlates well with total acoustic activity of animals and could be used as indicator for this parameter.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.