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Impact of stand variables on characteristics of avian soundscape in common oak (Quercus robur L.) forests Cover

Impact of stand variables on characteristics of avian soundscape in common oak (Quercus robur L.) forests

Open Access
|Nov 2019

Abstract

One of the problems that may arise when conducting long-term monitoring of bird populations in forest landscapes may be discrepancies between data obtained by different researchers. Using acoustic monitoring may solve this problem. To establish the suitability of the acoustic method for monitoring the state of forest ecosystems, studies were conducted in May and June 2018 on seven plots different from each other by stand age and species composition in a maple-linden-oak forest in northeastern Ukraine. The species composition of birds, the structure and composition of the stand and the values of six acoustic indices were calculated. Differences were found in all acoustic indices at different sites. The smallest values of the indices were noted in the overgrown clear-cut. Four acoustic indices in the May survey and five of the six in the June survey show significant correlations with the species richness of birds. All indices correlate with the values of several stand variables, which characterize the size and species composition of the stand, understorey and field vegetation, the closeness of various vegetation tiers, and with the distance to the edges and the nearest populated areas. The results suggest the possibility of using an acoustic approach to monitoring the bird population and the state of forest ecosystems.

DOI: https://doi.org/10.2478/fsmu-2019-0006 | Journal eISSN: 1736-8723 | Journal ISSN: 1406-9954
Language: English
Page range: 68 - 79
Submitted on: Aug 5, 2019
Accepted on: Sep 13, 2019
Published on: Nov 21, 2019
Published by: Estonian University of Life Sciences
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year

© 2019 Andrey Atemasov, Tatiana Atemasova, published by Estonian University of Life Sciences
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.