Indian Journal of Animal Research
SCOPUSWeb of Science
  • Year: 2024
  • Volume: 58
  • Issue: 3

The distributive characteristic on bird communities in Poyang lake Wetlands in January 2021 to may 2022, Jiangxi, China

  • Author:
  • Xiafang Hong1,*, Kezhu Wang2, Haihua Wang3
  • Total Page Count: 6
  • Page Number: 524 to 529

1School of Culture and Tourism, Yuzhang Normal University, Fengling Street, 1999, Nanchang City, Jiangxi Province, China

2School of Management, Lanzhou University, Tianshui South Road, 222, Nanzhou City, Ganshu Province, China

3Scientific Observing Experimental Station of Fishery Resources and Environment in Poyang Lake, Ministry of Agriculture, Tangshan Yelou, Nanchang City, Jiangxi Province, China

*Corresponding Author: Xiafang Hong, School of Culture and Tourism, Yuzhang Normal University, Fengling Street, 1999, Nanchang City, Jiangxi Province, China, Email: 654310370@qq.com

Online published on 9 August, 2024.

Abstract

The birds depending on the aquatic creatures in the wetland, as an indicator species, their individual species represent the responses of other species within the habitat or group. To pro tect the wetland and the creatures in Poyang Lake, I Jiangxi Province of China, it is essential for local officials to get more reference data and evidence to make a more scientific and sustainable development of them.

A comprehensive survey was made on the time patterns of waterfowl communities using a UAV drone. And statistical analyses of the data included the Shannon-Wiener index and the Pielou index were computed.

The results of the study show that 211 species of birds were recorded, representing 13 orders and four families, accounting for 45.4% of the total 465 species of birds in Jiangxi Province. The bird community diversity index for the year was 3.19 and the uniformity index was 0.61, which was the highest in spring, followed by autumn, winter and summer. This evaluation led us to the conclusion that the rich bird resources of Poyang Lake are numerous and precious.

Keywords

Bird communities, Group statistics, Pielou index, Shannon-wiener index, Temporal patterns