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用于空气污染生物监测的城市树木选择的宏观形态特征综述。

Macro-Morphological Traits of Leaves for Urban Tree Selection for Air Pollution Biomonitoring: A Review.

机构信息

Grupo de Investigación INDESOS, Facultad del Medio Ambiente y Recursos Naturales, Universidad Distrital Francisco José de Caldas, Carrera 5 Este #15-82, Bogotá DC E-111711, Colombia.

Grupo de Investigación en Ingeniería Ambiental-GIIAUD, Facultad del Medio Ambiente y Recursos Naturales, Universidad Distrital Francisco José de Caldas, Carrera 5 Este #15-82, Bogotá DC E-111711, Colombia.

出版信息

Biosensors (Basel). 2022 Sep 30;12(10):812. doi: 10.3390/bios12100812.

DOI:10.3390/bios12100812
PMID:36290949
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9599504/
Abstract

Urban trees provide different ecosystem benefits, such as improving air quality due to the retention of atmospheric particulate matter (PM) on their leaves. The main objective of this paper was to study, through a systematic literature review, the leaf macro-morphological traits (LMTs) most used for the selection of urban trees as air pollution biomonitors. A citation frequency index was used in scientific databases, where the importance associated with each variable was organized by quartiles (Q). The results suggest that the most biomonitored air pollutants by the LMTs of urban trees were PM between 1-100 µm (Q1 = 0.760), followed by O (Q2 = 0.586), PM (Q2 = 0.504), and PM (Q3 = 0.423). PM was probably the most effective air pollutant for studying and evaluating urban air quality in the context of tree LMTs. PM was the fraction most used in these studies. The LMTs most used for PM monitoring were leaf area (Q1) and specific leaf area (Q4). These LMTs were frequently used for their easy measurement and quantification. In urban areas, it was suggested that leaf area was directly related to the amount of PM retained on tree leaves. The PM retained on tree leaves was also used to study other f associated urban air pollutants associated (e.g., heavy metals and hydrocarbons).

摘要

城市树木提供了不同的生态系统效益,例如通过树叶截留大气颗粒物(PM)来改善空气质量。本文的主要目的是通过系统文献回顾研究,选择城市树木作为空气污染生物监测器的叶片宏观形态特征(LMTs)。在科学数据库中使用了引文频率指数,其中与每个变量相关的重要性按四分位数(Q)组织。结果表明,城市树木的 LMTs 监测的最主要的空气污染物是 1-100 µm 的 PM(Q1 = 0.760),其次是 O(Q2 = 0.586)、PM(Q2 = 0.504)和 PM(Q3 = 0.423)。PM 可能是研究和评估城市空气质量的最有效的空气污染物,这与树木 LMTs 有关。PM 是这些研究中最常用的分数。用于 PM 监测的最常用的 LMTs 是叶面积(Q1)和比叶面积(Q4)。这些 LMTs 因其易于测量和定量而经常被使用。在城市地区,叶面积与树叶截留的 PM 量直接相关。树叶截留的 PM 也用于研究其他与城市空气污染物相关的 f(例如重金属和碳氢化合物)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b6de/9599504/8c44cf7cb5e1/biosensors-12-00812-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b6de/9599504/c9ba967b90e3/biosensors-12-00812-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b6de/9599504/8c44cf7cb5e1/biosensors-12-00812-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b6de/9599504/c9ba967b90e3/biosensors-12-00812-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b6de/9599504/8c44cf7cb5e1/biosensors-12-00812-g002.jpg

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