Air pollution level declines the bird species diversity in an urban area: a case study of Bilaspur, Chhattisgarh during the summer season

G. Tiwari, Animesh Shukla, F. M. Anthony
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Abstract

With rapid growth and changes in daily life, air pollution is also increasing at a high rate. Air pollution threats are not only restricted to urban areas but harm rural areas also. Apart from being harmful to human beings; air pollution possesses a negative impact on bird species also. This study was carried out to find out the adverse impact of air pollution on the diversity of the avian community. The study was executed at five different locations in Bilaspur city during the summer season (2022). Vehicular emissions, burning of fossil fuels, constructions etc. are the major source of pollution in the city. The point count and checklist method was adopted for the observation of bird species. The air quality and pollution monitoring had been carried out through the ‘Smiledrive Air Quality Monitor Pollution Meter’ which detects the concentration and level of PM 2.5, PM 10, TVOC and HCHO in the air. The diversity of bird species was calculated through total species richness and the Shannon-Wiener diversity index. It was observed that the site having minimum pollution levels have a large bird population with maximum diversity and the sites having high pollution levels have the least diversity of birds. It is the reason that many bird species avoid areas with high pollution concentrations. The study also revealed the remarkably high population of birds of the ‘Sturnidae’ and ‘Columbidae families in polluted sites which validates that the birds of these families have adapted themselves well in the sites with high pollution levels.
空气污染水平降低了城市地区鸟类物种多样性:以恰蒂斯加尔邦比拉斯布尔夏季为例
随着日常生活的快速增长和变化,空气污染也在以很高的速度增加。空气污染威胁不仅限于城市地区,也危害农村地区。除了对人类有害之外;空气污染对鸟类也有负面影响。本研究旨在了解空气污染对鸟类群落多样性的不利影响。该研究于夏季(2022年)在比拉斯普尔市的五个不同地点进行。汽车尾气、燃烧化石燃料、建筑等是这个城市的主要污染源。鸟类种类的观察采用点数法和清单法。空气质素及污染监测是透过“smiledridrive空气质素监测污染仪器”进行的,该仪器可检测空气中pm2.5、pm10、总挥发性有机化合物及HCHO的浓度及水平。通过总物种丰富度和Shannon-Wiener多样性指数计算鸟类物种多样性。结果表明,污染程度最低的地点鸟类数量最多,鸟类多样性最高,污染程度高的地点鸟类多样性最低。这就是许多鸟类避开高污染地区的原因。研究还发现,在受污染的地区,“鲟鱼科”和“耧菜科”的鸟类数量显著增加,这证实了这些科的鸟类在高污染的地区适应得很好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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