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Ecophysiological responses of tree species due to air pollution for biomonitoring of environmental health in urban area
Urban Climate ( IF 6.0 ) Pub Date : 2020-11-20 , DOI: 10.1016/j.uclim.2020.100741
Dipti Karmakar , Kuheli Deb , Pratap Kumar Padhy

For the selection of tolerant species in shelter belt development and sensitive species as bio-indicator of air pollution in a polluted environment, air pollution tolerance index (APTI) is a very important tool. APTI is based on four biochemical parameters of the plants; total chlorophyll content, relative water content, pH of leaf extract and ascorbic acid. Anticipated performance index (API) is based on combining APTI values with other socio-economic and biological parameters. In the present study, eighteen plant species were selected from three different sites of Santiniketan, West Bengal, India and APTI and API were calculated. Anchored in these two indices, the most appropriate plant species were identified and recommended for the development of shelter belt. Two-way ANOVA analysis depicted a significant difference in APTI of all plant species and also among different sites. Among all the plants, it is revealed that Mangifera indica L. is the best performer and Polyalthia longifolia (Sonn.) Thwaites, Saraca asoka (Roxb.) Willd., Ficus benghalensis L. are excellent performers. The present study will be helpful to recommend the plant species for shelter belt development in urban industrial areas of tropical countries, with related plant composition, climatic condition and levels of air pollution.



中文翻译:

空气污染引起的树种对城市环境健康的生物监测的生态生理反应

为了选择在防护林带发展中的耐受物种和在污染环境中作为空气污染生物指标的敏感物种,空气污染耐受指数(APTI)是非常重要的工具。APTI基于植物的四个生化参数。总叶绿素含量,相对水含量,叶提取物和抗坏血酸的pH值。预期绩效指数(API)基于APTI值与其他社会经济和生物学参数的组合。在本研究中,从印度西孟加拉邦Santiniketan的三个不同地点选择了18种植物,并计算了APTI和API。在这两个指标的基础上,确定了最合适的植物物种,并建议其用于防护林带的开发。双向方差分析表明,所有植物物种以及不同地点之间的APTI差异显着。在所有植物中,据揭示表现最好的是印度芒果(Mangifera indica L.),表现最好的是长白花Polyalthia longifoliaSonn。)Thwaites,萨拉卡阿索卡(Roxb。)Willd。,榕(Ficus benghalensis L.)。本研究将有助于推荐热带国家城市工业区用于防护林开发的植物种类,以及相关的植物组成,气候条件和空气污染水平。

更新日期:2020-11-21
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