Prediction models for evaluating the impacts of ambient air pollutants on the biochemical response of selected tree species of Haridwar, India

Goswami, Meera; Kumar, Vinod; Kumar, Pankaj; Singh, Narendra

doi:10.1007/s10661-022-10384-2

Cited by 10 publications

(6 citation statements)

References 49 publications

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“…Although, it was also observed that as air pollution rises, cell permeability increases and causes a significant loss of minerals and water from the plant cell and can lead to early senescence of leaves (Ogunkunle et al 2015 ). Similar conformities in results were previously assessed by Bharti et al ( 2018 ), Rai ( 2019 ), Anake et al ( 2022 ), and Goswami et al ( 2022 ).…”

Section: Resultssupporting

confidence: 91%

“…Increased level of air pollution adversely affects the concentration of chlorophyll, carotenoids, and AA in a plant cell (Rai 2019 ). Similar conformity in results was shown in studies by Anake et al ( 2022 ); Goswami et al ( 2022 ); Mandal and Dhal ( 2022 ) that identified a reduction in total chlorophyll content in the polluted area in comparison to nonpolluted sites.…”

Section: Resultssupporting

confidence: 90%

“…The light-harvesting pigments or carotenoids deliver photoprotection, and coloration and support the proliferation and development of cells. Carotenoids are the primary determinant for evaluating the physiological performance of plants (Goswami et al 2022 ). Therefore, the estimation of T. Chl.…”

Section: Resultsmentioning

confidence: 99%

“…Although the same species may respond in a different way to air pollution stress depending on geographic areas, pollutant emissions, and soil properties by being as sensitive, intermediate, or tolerant (Rai and Panda 2014 ; Mondal and Singh 2022 ). APTI of a plant species was evaluated by utilizing the biochemical components (AA, T. Chl, pH, and RWC) (Shrestha et al 2021 ; Goswami et al 2022 ). Linear regression analysis showed that a positive correlation exists between the biochemical components and the APTI (Fig.…”

Section: Resultsmentioning

confidence: 99%

“…Hence, the ambient air pollutants, i.e., SO 2 , NO 2 , PM 2.5 , PM 10 , and dust deposition have the potential to alter the biochemical parameters such as T. Chl., AA, RWC, and pH content through adapting some modifications by plants (Goswami et al 2022 ). Likewise, as shown in Figs.…”

Section: Resultsmentioning

confidence: 99%

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A biochemical and morphological study with multiple linear regression modeling–based impact prediction of ambient air pollutants on some native tree species of Haldwani City of Kumaun Himalaya, Uttarakhand, India

Goswami

Kumar

Singh

et al. 2023

Environ Sci Pollut Res

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The current study was conducted around the province of Haldwani City, Uttarakhand, India, to understand the seasonal variation of ambient air pollutants (PM 2.5, PM 10 , SO 2 , and NO 2 ) and their impact on four tree species, i.e., neem ( Azadirachta indica ), mountain cedar ( Toona ciliate ), bottlebrush ( Callistemon citrinus ), and guava ( Psidium guajava ) during 2020–2021. Multiple linear regression (MLR)-based prediction analysis showed that the selected air quality variables (PM 2.5 , PM 10 , SO 2 , and NO 2 ) had a significant impact on the biochemical responses of selected tree spp. including, pH, ascorbic acid (AA), total chlorophyll content (T. Chl.), relative water content (RWC), and dust deposition potential. In this, the coefficient of variance ( R 2 ) of the developed models was in the range of 0.70–0.98. The ambient air pollutants showed significant seasonal variations as depicted by using the air pollution tolerance index (APTI) and anticipated performance index (API). The tree species from polluted sites observed more pollution tolerance than the tree species from the control site. Regression analysis showed a significant positive association between the biochemical characteristics and APTI, with the highest influence by AA ( R 2 = 0.961) followed by T. Chl., RWC, and pH. The APTI and API score was observed as maximum for A. indica and minimum for C. citrinus . The impact of air pollutants on the morphology of foliar surface was investigated by the scanning electron microscopy (SEM) and recorded various dust deposition patterns, stomatal blockages, and damage of guard cells in the trees growing along the polluted site (S2). The present study can assist environmental managers to examine the pollution-induced variables and develop an effective green belt for combating air pollution in polluted areas. Supplementary Information The online version contains supplementary material available at 10.1007/s11356-023-27563-4.

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Section: Resultssupporting

confidence: 91%

Section: Resultssupporting

confidence: 90%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

See 3 more Smart Citations

A biochemical and morphological study with multiple linear regression modeling–based impact prediction of ambient air pollutants on some native tree species of Haldwani City of Kumaun Himalaya, Uttarakhand, India

Goswami

Kumar

Singh

et al. 2023

Environ Sci Pollut Res

Self Cite

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Terrestrial Carbon Stock and Sink Potential of Indian Himalayan Forest Ecosystem: A Tool for Combating Climate Change

Kumar,

Srivastava

et al. 2023

Soil Carbon Dynamics in Indian Himalayan Region

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Assessment of air pollution tolerance index (APTI) and anticipated performance index (API) of selected roadside plant species for the green belt development at Ratnagiri City in the Konkan region of Maharashtra, India

Patil

Goud

Patil

et al. 2023

Environ Monit Assess

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Small towns are becoming hotspots of pollution due to industrial, urbanisation, and domestic activities. Air pollution affects human health and it is also, responsible for physiological changes in plants. Green belt development programmes are cost-effective for the minimisation of air pollution. In the present study, to calculate air pollution tolerance index (APTI) and anticipated performance index (API), samples of 25 plant species were collected from each area i.e. the Industrial (I), Urban (U), and Rural (R) areas and analysed for different parameters. Amongst all three areas, APTI of Artocarpus-heterophyllus (46.74), Calotropis gigantea (43.63), and Bauhinia racemose (42.11) have shown the highest values and these plants can act as an inhibitor of air pollution. Also, the APTI of Ocimum tenui orum has found to be the lowest (12.05, 11.32, 12.86) as compared to other plant species among the three areas. Statistical analysis reveals that values of R 2 are consistent in case of Total Chlorophyll (TC) and Ascorbic Acid (AA). API index showed the e ciency of Calotropis gigantea (excellent), Artocarpus-heterophyllus (very good), and Mangifera Indica (very good) for the green belt development around the selected areas. It is recommended to plant above mentioned plant species along the roadside by considering their air pollution tolerance ability and medicinal as well as economic importance. Further, it is suggested to plant species of Artocarpus-heterophyllus (Jackfruit) and Mangifera Indica (Alphonso Mango) which will generate income source for the local government bodies (Ratnagiri Municipal Council), as the fruits and wood of these plants can be exported and sold.

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Prediction models for evaluating the impacts of ambient air pollutants on the biochemical response of selected tree species of Haridwar, India

Cited by 10 publications

References 49 publications

A biochemical and morphological study with multiple linear regression modeling–based impact prediction of ambient air pollutants on some native tree species of Haldwani City of Kumaun Himalaya, Uttarakhand, India

A biochemical and morphological study with multiple linear regression modeling–based impact prediction of ambient air pollutants on some native tree species of Haldwani City of Kumaun Himalaya, Uttarakhand, India

Terrestrial Carbon Stock and Sink Potential of Indian Himalayan Forest Ecosystem: A Tool for Combating Climate Change

Assessment of air pollution tolerance index (APTI) and anticipated performance index (API) of selected roadside plant species for the green belt development at Ratnagiri City in the Konkan region of Maharashtra, India

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