{"title":"评价优势树种作为缓解印度东部兰契城市空气污染的生物指标","authors":"Pawan Ekka, Purabi Saikia","doi":"10.1007/s00468-025-02670-6","DOIUrl":null,"url":null,"abstract":"<div><h3>Key message</h3><p>Effective nature-based solutions for urban air pollution require understanding how season, site, and species affect tree tolerance. The complex interplay of biochemical parameters significantly impacts trees’ sensitivity and tolerance.</p><h3>Abstract</h3><p>Evaluating dominant tree species as bioindicators can provide valuable insights for effective air pollution mitigation strategies in rapidly developing cities like Ranchi, Eastern India. The air pollution tolerance index (APTI), anticipated performance index (API), and dust capturing capacity (DCC) of dominant urban street trees in Ranchi were studied at control, heavy traffic, and industrial sites during pre- and post-monsoon seasons. APTI varied significantly across seasons (F<sub>1,25.43</sub> = 27.24, p < 0.05), sites (F<sub>2,261.87</sub> = 280.50, p < 0.05), and trees (F<sub>9,9.18</sub> = 9.83, p < 0.05). APTI values were highest at industrial, followed by heavy traffic, and lowest at control sites. AA content was the most influential biochemical parameter associated with APTI, showing a statistically significant strong correlation (r = 0.819, <i>p</i> < 0.01). Street trees at industrial sites exhibited the highest APTI values (range: 15.11–19.99), followed by heavy traffic sites (12.79–18.30), and lowest at control sites (11.46–15.72). DCC also varied significantly across seasons (F<sub>1,0.321</sub> = 17.40, p < 0.05), sites (F<sub>2,2.65</sub> = 144.25, p < 0.05), and trees (F<sub>9,2.95</sub> = 160.92, p < 0.05). The highest DCC was recorded in <i>Melia azedarach</i> (2.64 mg cm<sup>−2</sup>), followed by <i>Bauhinia variegata</i> (2.49 mg cm<sup>−2</sup>), and <i>Bridelia retusa</i> (2.13 mg cm<sup>−2</sup>). APTI, API, and DCC were significantly affected by seasons, sites, species, and their interactions with pollutants. These findings highlight the importance of APTI, API, and DCC as important indicators of the pollution mitigation abilities of different urban street trees to recommend for urban greening initiatives in rapidly urbanizing cities like Ranchi.</p><h3>Graphical Abstract</h3>\n<div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":805,"journal":{"name":"Trees","volume":"39 5","pages":""},"PeriodicalIF":2.1000,"publicationDate":"2025-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Evaluating dominant tree species as bioindicators for urban air pollution mitigation in Ranchi, Eastern India\",\"authors\":\"Pawan Ekka, Purabi Saikia\",\"doi\":\"10.1007/s00468-025-02670-6\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Key message</h3><p>Effective nature-based solutions for urban air pollution require understanding how season, site, and species affect tree tolerance. The complex interplay of biochemical parameters significantly impacts trees’ sensitivity and tolerance.</p><h3>Abstract</h3><p>Evaluating dominant tree species as bioindicators can provide valuable insights for effective air pollution mitigation strategies in rapidly developing cities like Ranchi, Eastern India. The air pollution tolerance index (APTI), anticipated performance index (API), and dust capturing capacity (DCC) of dominant urban street trees in Ranchi were studied at control, heavy traffic, and industrial sites during pre- and post-monsoon seasons. APTI varied significantly across seasons (F<sub>1,25.43</sub> = 27.24, p < 0.05), sites (F<sub>2,261.87</sub> = 280.50, p < 0.05), and trees (F<sub>9,9.18</sub> = 9.83, p < 0.05). APTI values were highest at industrial, followed by heavy traffic, and lowest at control sites. AA content was the most influential biochemical parameter associated with APTI, showing a statistically significant strong correlation (r = 0.819, <i>p</i> < 0.01). Street trees at industrial sites exhibited the highest APTI values (range: 15.11–19.99), followed by heavy traffic sites (12.79–18.30), and lowest at control sites (11.46–15.72). DCC also varied significantly across seasons (F<sub>1,0.321</sub> = 17.40, p < 0.05), sites (F<sub>2,2.65</sub> = 144.25, p < 0.05), and trees (F<sub>9,2.95</sub> = 160.92, p < 0.05). The highest DCC was recorded in <i>Melia azedarach</i> (2.64 mg cm<sup>−2</sup>), followed by <i>Bauhinia variegata</i> (2.49 mg cm<sup>−2</sup>), and <i>Bridelia retusa</i> (2.13 mg cm<sup>−2</sup>). APTI, API, and DCC were significantly affected by seasons, sites, species, and their interactions with pollutants. These findings highlight the importance of APTI, API, and DCC as important indicators of the pollution mitigation abilities of different urban street trees to recommend for urban greening initiatives in rapidly urbanizing cities like Ranchi.</p><h3>Graphical Abstract</h3>\\n<div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>\",\"PeriodicalId\":805,\"journal\":{\"name\":\"Trees\",\"volume\":\"39 5\",\"pages\":\"\"},\"PeriodicalIF\":2.1000,\"publicationDate\":\"2025-08-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Trees\",\"FirstCategoryId\":\"2\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s00468-025-02670-6\",\"RegionNum\":3,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"FORESTRY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Trees","FirstCategoryId":"2","ListUrlMain":"https://link.springer.com/article/10.1007/s00468-025-02670-6","RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"FORESTRY","Score":null,"Total":0}
引用次数: 0
摘要
有效的基于自然的城市空气污染解决方案需要了解季节、地点和物种如何影响树木的耐受性。生化参数的复杂相互作用显著影响树木的敏感性和耐受性。评价优势树种作为生物指标可以为印度东部兰契等快速发展城市的有效空气污染缓解策略提供有价值的见解。研究了兰契市主要城市行道树在季风前和季风后季节的空气污染耐受指数(APTI)、预期性能指数(API)和吸尘能力(DCC)。APTI在季节(F1,25.43 = 27.24, p < 0.05)、地点(f2261.87 = 280.50, p < 0.05)和树木(F9,9.18 = 9.83, p < 0.05)之间存在显著差异。APTI值在工业站点最高,交通繁忙站点次之,在控制站点最低。AA含量是与APTI相关的最重要生化参数,呈极显著的强相关性(r = 0.819, p < 0.01)。工业样地行道树APTI值最高(15.11 ~ 19.99),交通繁忙样地次之(12.79 ~ 18.30),对照样地最低(11.46 ~ 15.72)。DCC在季节(F1,0.321 = 17.40, p < 0.05)、地点(F2,2.65 = 144.25, p < 0.05)和树木(F9,2.95 = 160.92, p < 0.05)之间也存在显著差异。DCC最高的是苦楝(2.64 mg cm−2),其次是紫荆花(2.49 mg cm−2)和白莲花(2.13 mg cm−2)。APTI、API和DCC受季节、地点、物种及其与污染物相互作用的影响显著。这些发现强调了APTI、API和DCC作为不同城市行道树缓解污染能力的重要指标的重要性,为Ranchi等快速城市化城市的城市绿化倡议提供了建议。图形抽象
Evaluating dominant tree species as bioindicators for urban air pollution mitigation in Ranchi, Eastern India
Key message
Effective nature-based solutions for urban air pollution require understanding how season, site, and species affect tree tolerance. The complex interplay of biochemical parameters significantly impacts trees’ sensitivity and tolerance.
Abstract
Evaluating dominant tree species as bioindicators can provide valuable insights for effective air pollution mitigation strategies in rapidly developing cities like Ranchi, Eastern India. The air pollution tolerance index (APTI), anticipated performance index (API), and dust capturing capacity (DCC) of dominant urban street trees in Ranchi were studied at control, heavy traffic, and industrial sites during pre- and post-monsoon seasons. APTI varied significantly across seasons (F1,25.43 = 27.24, p < 0.05), sites (F2,261.87 = 280.50, p < 0.05), and trees (F9,9.18 = 9.83, p < 0.05). APTI values were highest at industrial, followed by heavy traffic, and lowest at control sites. AA content was the most influential biochemical parameter associated with APTI, showing a statistically significant strong correlation (r = 0.819, p < 0.01). Street trees at industrial sites exhibited the highest APTI values (range: 15.11–19.99), followed by heavy traffic sites (12.79–18.30), and lowest at control sites (11.46–15.72). DCC also varied significantly across seasons (F1,0.321 = 17.40, p < 0.05), sites (F2,2.65 = 144.25, p < 0.05), and trees (F9,2.95 = 160.92, p < 0.05). The highest DCC was recorded in Melia azedarach (2.64 mg cm−2), followed by Bauhinia variegata (2.49 mg cm−2), and Bridelia retusa (2.13 mg cm−2). APTI, API, and DCC were significantly affected by seasons, sites, species, and their interactions with pollutants. These findings highlight the importance of APTI, API, and DCC as important indicators of the pollution mitigation abilities of different urban street trees to recommend for urban greening initiatives in rapidly urbanizing cities like Ranchi.
期刊介绍:
Trees - Structure and Function publishes original articles on the physiology, biochemistry, functional anatomy, structure and ecology of trees and other woody plants. Also presented are articles concerned with pathology and technological problems, when they contribute to the basic understanding of structure and function of trees. In addition to original articles and short communications, the journal publishes reviews on selected topics concerning the structure and function of trees.