Issue |
BIO Web Conf.
Volume 117, 2024
International Conference on Life Sciences and Technology (ICoLiST 2023)
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Article Number | 01023 | |
Number of page(s) | 17 | |
DOI | https://doi.org/10.1051/bioconf/202411701023 | |
Published online | 05 July 2024 |
Study of Bird Communities in Watu Ondo Waterfall, Raden Soerjo Grand Forest Park, Mojokerto
Department of Biology, Faculty of Mathematic and Natural Science, Universitas Negeri Malang, Malang, Indonesia
* Corresponding author : redito.auliaahsani@gmail.com
Birds are a good predictor of habitat quality. The conversion in Watu Ondo Waterfall has been carried out, and there is no data regarding the bird community in this area, so it is necessary to research about the bird community. This study aims to identify the composition, analyze the level of diversity, evenness, richness, dominance, and the conservation status of birds species. This type of research is explorative descriptive with a quantitative approach. The research was conducted in the Watu Ondo Waterfall area, with a ±600m observation path starting from the city border to the waterfall. There are 4 observation stations with a distance between stations is 150m. The method used point count. Sampling was carried out at 06.00−10.00 and 14.30−17.00 with 3 repetitions. Based on the results of the study, 307 individual birds were found consisting of 46 species, 9 orders, 25 families and 39 genera. The average value of diversity is 2.54 (moderate). The average value of evenness is 0,87 (high). The average value of richness is 4.34 (high). The mean dominance value is 0.14 (No dominant species). Based on the conservation status found that 10 species of birds protected by government regulations and 5 species of birds classified into Appendix II by CITES. Referring to the IUCN status, found that 38 species of Least Concern, 3 species of Near Threatened, 3 species of Vulnarable and 2 species of Endangered.
© 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.
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