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
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 ), bott...
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| Veröffentlicht in: | Environmental science and pollution research international 2023-06, Vol.30 (30), p.74900-74915 |
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| creator | Goswami, Meera Kumar, Vinod Singh, Narendra Kumar, Pankaj |
| description | 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. |
| doi_str_mv | 10.1007/s11356-023-27563-4 |
| format | Article |
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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.</description><identifier>ISSN: 1614-7499</identifier><identifier>ISSN: 0944-1344</identifier><identifier>EISSN: 1614-7499</identifier><identifier>DOI: 10.1007/s11356-023-27563-4</identifier><identifier>PMID: 37208511</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>air ; Air Pollutants - analysis ; Air pollution ; Air Pollution - analysis ; Air quality ; Aquatic Pollution ; Ascorbic acid ; Ascorbic Acid - analysis ; Atmospheric Protection/Air Quality Control/Air Pollution ; Azadirachta indica ; Biochemical characteristics ; Biochemistry ; Callistemon citrinus ; Chlorophyll ; Deposition ; Dust ; Dust - analysis ; Earth and Environmental Science ; Ecotoxicology ; electron microscopy ; Environment ; Environmental Chemistry ; Environmental Health ; Environmental management ; Environmental Monitoring ; Environmental Pollutants - analysis ; Environmental science ; Green belts ; Guard cells ; guavas ; Himalayan region ; Impact prediction ; India ; Indigenous species ; Linear Models ; Moisture content ; Morphology ; Neem ; Nitrogen dioxide ; Nitrogen Dioxide - analysis ; Outdoor air quality ; Ozone ; Particulate matter ; Performance indices ; Plant Leaves - chemistry ; Plant species ; Pollutants ; Pollution index ; Pollution tolerance ; prediction ; Psidium guajava ; Regression analysis ; Research Article ; Scanning electron microscopy ; seasonal variation ; Seasonal variations ; Stomata ; Sulfur dioxide ; Toona ; Toona ciliata ; Trees ; variance ; Waste Water Technology ; Water content ; Water Management ; Water Pollution Control</subject><ispartof>Environmental science and pollution research international, 2023-06, Vol.30 (30), p.74900-74915</ispartof><rights>The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><rights>2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.</rights><rights>The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2023, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c508t-ea807e596ec319b0de84b18977497b91ef59b85a9f6b65b0705fd60b508e4a6f3</citedby><cites>FETCH-LOGICAL-c508t-ea807e596ec319b0de84b18977497b91ef59b85a9f6b65b0705fd60b508e4a6f3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11356-023-27563-4$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11356-023-27563-4$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>230,314,776,780,881,27903,27904,41467,42536,51298</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37208511$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Goswami, Meera</creatorcontrib><creatorcontrib>Kumar, Vinod</creatorcontrib><creatorcontrib>Singh, Narendra</creatorcontrib><creatorcontrib>Kumar, Pankaj</creatorcontrib><title>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</title><title>Environmental science and pollution research international</title><addtitle>Environ Sci Pollut Res</addtitle><addtitle>Environ Sci Pollut Res Int</addtitle><description>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.</description><subject>air</subject><subject>Air Pollutants - analysis</subject><subject>Air pollution</subject><subject>Air Pollution - analysis</subject><subject>Air quality</subject><subject>Aquatic Pollution</subject><subject>Ascorbic acid</subject><subject>Ascorbic Acid - analysis</subject><subject>Atmospheric Protection/Air Quality Control/Air Pollution</subject><subject>Azadirachta indica</subject><subject>Biochemical characteristics</subject><subject>Biochemistry</subject><subject>Callistemon citrinus</subject><subject>Chlorophyll</subject><subject>Deposition</subject><subject>Dust</subject><subject>Dust - analysis</subject><subject>Earth and Environmental Science</subject><subject>Ecotoxicology</subject><subject>electron microscopy</subject><subject>Environment</subject><subject>Environmental Chemistry</subject><subject>Environmental Health</subject><subject>Environmental management</subject><subject>Environmental Monitoring</subject><subject>Environmental Pollutants - analysis</subject><subject>Environmental science</subject><subject>Green belts</subject><subject>Guard cells</subject><subject>guavas</subject><subject>Himalayan region</subject><subject>Impact prediction</subject><subject>India</subject><subject>Indigenous species</subject><subject>Linear Models</subject><subject>Moisture content</subject><subject>Morphology</subject><subject>Neem</subject><subject>Nitrogen dioxide</subject><subject>Nitrogen Dioxide - analysis</subject><subject>Outdoor air quality</subject><subject>Ozone</subject><subject>Particulate matter</subject><subject>Performance indices</subject><subject>Plant Leaves - chemistry</subject><subject>Plant species</subject><subject>Pollutants</subject><subject>Pollution index</subject><subject>Pollution tolerance</subject><subject>prediction</subject><subject>Psidium guajava</subject><subject>Regression analysis</subject><subject>Research Article</subject><subject>Scanning electron microscopy</subject><subject>seasonal variation</subject><subject>Seasonal variations</subject><subject>Stomata</subject><subject>Sulfur dioxide</subject><subject>Toona</subject><subject>Toona ciliata</subject><subject>Trees</subject><subject>variance</subject><subject>Waste Water Technology</subject><subject>Water content</subject><subject>Water Management</subject><subject>Water Pollution Control</subject><issn>1614-7499</issn><issn>0944-1344</issn><issn>1614-7499</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqFks9u1DAQxiMEoqXwAhyQJS49NGDnn-MTqlbAVlTiQs_WOJlkXRw72E6rvfEOvBsPwJPg7ZZSOMDJ1szvm_nGnix7zugrRil_HRgr6yanRZkXvG7KvHqQHbKGVTmvhHh4736QPQnhktKCioI_zg5KXtC2Zuww-35KlHbdBifdgSFgezI5P2-cceNNJMSl35JrHTdkWkzUs0FitEXwxOPoMQTtbNL0mKLjj6_fFATsiZ5m6CKZPfa6izvEDQQmpdFGAtqT2RmzRLAxkJQMbkJiIeorJNEjkjBjpzHsVGsw_TVYTVY6bneBD8sEiyVrPYGBLZyQixjBw-dNcn9Czmyv4Wn2aAAT8NnteZRdvHv7abXOzz--P1udnuddTduYI7SUYy0a7EomFO2xrRRrBU-PxpVgONRCtTWIoVFNrSin9dA3VCUxVtAM5VH2Zl93XtSEfZem82Dk7JM3v5UOtPwzY_VGju5KMspEy1uRKhzfVvDuy4IhykmHDo0Bi24JsmR1spb-uPgvWrSs4U3R8DahL_9CL93ibXqKRBWiFpS2ZaKKPdV5F4LH4c44o3K3YnK_YjK1lzcrJqskenF_5DvJr51KQLkHQkrZEf3v3v8o-xMP0OKZ</recordid><startdate>20230601</startdate><enddate>20230601</enddate><creator>Goswami, Meera</creator><creator>Kumar, Vinod</creator><creator>Singh, Narendra</creator><creator>Kumar, Pankaj</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QL</scope><scope>7SN</scope><scope>7T7</scope><scope>7TV</scope><scope>7U7</scope><scope>7WY</scope><scope>7WZ</scope><scope>7X7</scope><scope>7XB</scope><scope>87Z</scope><scope>88E</scope><scope>88I</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8FL</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FRNLG</scope><scope>FYUFA</scope><scope>F~G</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K60</scope><scope>K6~</scope><scope>K9.</scope><scope>L.-</scope><scope>M0C</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>M7N</scope><scope>P64</scope><scope>PATMY</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>7X8</scope><scope>7S9</scope><scope>L.6</scope><scope>5PM</scope></search><sort><creationdate>20230601</creationdate><title>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</title><author>Goswami, Meera ; Kumar, Vinod ; Singh, Narendra ; Kumar, Pankaj</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c508t-ea807e596ec319b0de84b18977497b91ef59b85a9f6b65b0705fd60b508e4a6f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>air</topic><topic>Air Pollutants - analysis</topic><topic>Air pollution</topic><topic>Air Pollution - analysis</topic><topic>Air quality</topic><topic>Aquatic Pollution</topic><topic>Ascorbic acid</topic><topic>Ascorbic Acid - analysis</topic><topic>Atmospheric Protection/Air Quality Control/Air Pollution</topic><topic>Azadirachta indica</topic><topic>Biochemical characteristics</topic><topic>Biochemistry</topic><topic>Callistemon citrinus</topic><topic>Chlorophyll</topic><topic>Deposition</topic><topic>Dust</topic><topic>Dust - analysis</topic><topic>Earth and Environmental Science</topic><topic>Ecotoxicology</topic><topic>electron microscopy</topic><topic>Environment</topic><topic>Environmental Chemistry</topic><topic>Environmental Health</topic><topic>Environmental management</topic><topic>Environmental Monitoring</topic><topic>Environmental Pollutants - analysis</topic><topic>Environmental science</topic><topic>Green belts</topic><topic>Guard cells</topic><topic>guavas</topic><topic>Himalayan region</topic><topic>Impact prediction</topic><topic>India</topic><topic>Indigenous species</topic><topic>Linear Models</topic><topic>Moisture content</topic><topic>Morphology</topic><topic>Neem</topic><topic>Nitrogen dioxide</topic><topic>Nitrogen Dioxide - analysis</topic><topic>Outdoor air quality</topic><topic>Ozone</topic><topic>Particulate matter</topic><topic>Performance indices</topic><topic>Plant Leaves - chemistry</topic><topic>Plant species</topic><topic>Pollutants</topic><topic>Pollution index</topic><topic>Pollution tolerance</topic><topic>prediction</topic><topic>Psidium guajava</topic><topic>Regression analysis</topic><topic>Research Article</topic><topic>Scanning electron microscopy</topic><topic>seasonal variation</topic><topic>Seasonal variations</topic><topic>Stomata</topic><topic>Sulfur dioxide</topic><topic>Toona</topic><topic>Toona ciliata</topic><topic>Trees</topic><topic>variance</topic><topic>Waste Water Technology</topic><topic>Water content</topic><topic>Water Management</topic><topic>Water Pollution Control</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Goswami, Meera</creatorcontrib><creatorcontrib>Kumar, Vinod</creatorcontrib><creatorcontrib>Singh, Narendra</creatorcontrib><creatorcontrib>Kumar, Pankaj</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Ecology Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Pollution Abstracts</collection><collection>Toxicology Abstracts</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Global (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Business Premium Collection (Alumni)</collection><collection>Health Research Premium Collection</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ABI/INFORM Global</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Science Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>ProQuest One Business</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>AGRICOLA</collection><collection>AGRICOLA - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Environmental science and pollution research international</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Goswami, Meera</au><au>Kumar, Vinod</au><au>Singh, Narendra</au><au>Kumar, Pankaj</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>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</atitle><jtitle>Environmental science and pollution research international</jtitle><stitle>Environ Sci Pollut Res</stitle><addtitle>Environ Sci Pollut Res Int</addtitle><date>2023-06-01</date><risdate>2023</risdate><volume>30</volume><issue>30</issue><spage>74900</spage><epage>74915</epage><pages>74900-74915</pages><issn>1614-7499</issn><issn>0944-1344</issn><eissn>1614-7499</eissn><abstract>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.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>37208511</pmid><doi>10.1007/s11356-023-27563-4</doi><tpages>16</tpages><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1614-7499 |
| ispartof | Environmental science and pollution research international, 2023-06, Vol.30 (30), p.74900-74915 |
| issn | 1614-7499 0944-1344 1614-7499 |
| language | eng |
| recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10198789 |
| source | MEDLINE; Springer Nature - Complete Springer Journals |
| subjects | air Air Pollutants - analysis Air pollution Air Pollution - analysis Air quality Aquatic Pollution Ascorbic acid Ascorbic Acid - analysis Atmospheric Protection/Air Quality Control/Air Pollution Azadirachta indica Biochemical characteristics Biochemistry Callistemon citrinus Chlorophyll Deposition Dust Dust - analysis Earth and Environmental Science Ecotoxicology electron microscopy Environment Environmental Chemistry Environmental Health Environmental management Environmental Monitoring Environmental Pollutants - analysis Environmental science Green belts Guard cells guavas Himalayan region Impact prediction India Indigenous species Linear Models Moisture content Morphology Neem Nitrogen dioxide Nitrogen Dioxide - analysis Outdoor air quality Ozone Particulate matter Performance indices Plant Leaves - chemistry Plant species Pollutants Pollution index Pollution tolerance prediction Psidium guajava Regression analysis Research Article Scanning electron microscopy seasonal variation Seasonal variations Stomata Sulfur dioxide Toona Toona ciliata Trees variance Waste Water Technology Water content Water Management Water Pollution Control |
| title | 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 |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-22T13%3A35%3A15IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20biochemical%20and%20morphological%20study%20with%20multiple%20linear%20regression%20modeling%E2%80%93based%20impact%20prediction%20of%20ambient%20air%20pollutants%20on%20some%20native%20tree%20species%20of%20Haldwani%20City%20of%20Kumaun%20Himalaya,%20Uttarakhand,%20India&rft.jtitle=Environmental%20science%20and%20pollution%20research%20international&rft.au=Goswami,%20Meera&rft.date=2023-06-01&rft.volume=30&rft.issue=30&rft.spage=74900&rft.epage=74915&rft.pages=74900-74915&rft.issn=1614-7499&rft.eissn=1614-7499&rft_id=info:doi/10.1007/s11356-023-27563-4&rft_dat=%3Cproquest_pubme%3E2829590083%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2829590083&rft_id=info:pmid/37208511&rfr_iscdi=true |