Plant species differences in particulate matter accumulation on leaf surfaces

2012 ◽  
Vol 427-428 ◽  
pp. 347-354 ◽  
Author(s):  
A. Sæbø ◽  
R. Popek ◽  
B. Nawrot ◽  
H.M. Hanslin ◽  
H. Gawronska ◽  
...  
Keyword(s):  
Particulate Matter ◽  
Plant Species ◽  
Species Differences ◽  
Leaf Surfaces

scholarly journals Potential of Thirteen Urban Greening Plants to Capture Particulate Matter on Leaf Surfaces across Three Levels of Ambient Atmospheric Pollution

2019 ◽  
Vol 16 (3) ◽  
pp. 402 ◽  
Author(s):  
Yanmei Li ◽  
Shaojun Wang ◽  
Qibo Chen
Keyword(s):  
Particulate Matter ◽  
Plant Species ◽  
Leaf Size ◽  
Industrial Area ◽  
Ambient Atmosphere ◽  
University Campus ◽  
Urban Greening ◽  
Stomata Density ◽  
Leaf Surfaces ◽  
Accumulation Capacity

The potential of urban greening plants to capture particulate matter (PM) from the ambient atmosphere is contingent on interactions between the level of pollution and leaf surfaces. For this study, thirteen plant species were investigated to quantify their capacity of PM accumulation under three atmospheric environments, that is, industrial, traffic and university campus (control), in Kunming City (Southwest China). The sampled sites represented different pollution levels (that is, high pollution, slight pollution and clean air, respectively). The plant species differed in their accumulation of PM by six- to eight-fold across the three sites. Magnolia grandiflora was the most efficient evergreen tree species, whereas Platanus acerifolia had the highest capture of PM among deciduous trees. The accumulation capacity of the same species varied with the degree of pollution. For example, Osmanthus fragrans, Loropetalum chinense and Cinnamomum japonicum were highly efficient for the capture of PM in the traffic and university campus areas; however, they exhibited medium accumulation in the industrial area. Prunus majestica demonstrated an intermediate accumulation capacity in the industrial area, but was low in the traffic and university campus areas. The capturing capacity of the same genus was also different among the different levels of pollution. For example, C. japonicum had a 2.9–4.2-times higher PM accumulation than did C. camphora across the three sites. There were significant differences in leaf surface area, stomata density/length, guard cell area, and trichome density/length among these species. The species-specific efficacy of PM capture was primarily contributed to by leaf size and surface roughness, stomata density, and trichome length. In particular, hairy-leaf leaves with medium stomatal density exhibited higher PM capture. Therefore, leaf micromorphology, leaf size and longevity appeared to be significant predictive factors for the accumulation of PM, which may aid in the selection of greening plant species for the remediation of pollutants in urban areas.

scholarly journals Assessment of Air Pollution Tolerance and Particulate Matter Accumulation of 11 Woody Plant Species

Atmosphere ◽  
2021 ◽  
Vol 12 (8) ◽  
pp. 1067
Author(s):  
Huong-Thi Bui ◽  
Uuriintuya Odsuren ◽  
Kei-Jung Kwon ◽  
Sang-Yong Kim ◽  
Jong-Cheol Yang ◽  
...  
Keyword(s):  
Air Pollution ◽  
Particulate Matter ◽  
Plant Species ◽  
Pinus Densiflora ◽  
Tolerance Index ◽  
High Concentration ◽  
Urban Green Spaces ◽  
Pollution Tolerance ◽  
Cornus Officinalis ◽  
Significant Difference

High concentration of particulate matter (PM) threatens public health and the environment. Increasing traffic in the city is one of the main factors for increased PM in the air. Urban green spaces play an important role in reducing PM. In this study, the leaf surface and in-wax PM (sPM and wPM) accumulation were compared for 11 plant species widely used for landscaping in South Korea. In addition, biochemical characteristics of leaves (ascorbic acid chlorophyll content, leaf pH, and relative water content) were analyzed to determine air pollution tolerance. Plant species suitable for air quality improvement were selected based on their air pollution tolerance index (APTI) and anticipated performance index (API). Results showed a significant difference according to the accumulation of sPM and wPM and the plant species. PM accumulation and APTI showed a positive correlation. Pinus strobus showed the highest PM accumulation and APTI values, while Cercis chinensis showed the lowest. In 11 plants, API was divided into five groups. Pinus densiflora was classified as the best group, while Cornus officinalis and Ligustrum obtusifolium were classified as not recommended.

Net Particulate Matter Removal Ability and Efficiency of Ten Plant Species in Beijing

2021 ◽  
pp. 127230
Author(s):  
Guojian Chen ◽  
Lin Lin ◽  
Yang Hu ◽  
Yuxin Zhang ◽  
Keming Ma
Keyword(s):  
Particulate Matter ◽  
Plant Species

scholarly journals Surface-Based Analysis of Leaf Microstructures for Adsorbing and Retaining Capability of Airborne Particulate Matter in Ten Woody Species

Forests ◽  
2020 ◽  
Vol 11 (9) ◽  
pp. 946
Author(s):  
Myeong Ja Kwak ◽  
Jong Kyu Lee ◽  
Sanghee Park ◽  
Handong Kim ◽  
Yea Ji Lim ◽  
...  
Keyword(s):  
Particulate Matter ◽  
Stomatal Density ◽  
Airborne Particulate Matter ◽  
Woody Species ◽  
Horse Chestnut ◽  
Evergreen Species ◽  
Leaf Surfaces ◽  
Magnolia Denudata ◽  
Pm2.5 And Pm10 ◽  
Euonymus Japonicus

We evaluated surface-based analysis for assessing the possible relationship between the microstructural properties and particulate matter (i.e., two size fractions of PM2.5 and PM10) adsorption efficiencies of their leaf surfaces on ten woody species. We focused on the effect of PM adsorption capacity between micro-morphological features on leaf surfaces using a scanning electron microscope and a non-contact surface profiler as an example. The species with higher adsorption of PM10 on leaf surfaces were Korean boxwood (Buxus koreana Nakai ex Chung & al.) and evergreen spindle (Euonymus japonicus Thunb.), followed by yulan magnolia (Magnolia denudata Desr.), Japanese yew (Taxus cuspidata Siebold & Zucc.), Japanese horse chestnut (Aesculus turbinata Blume), retusa fringetree (Chionanthus retusus Lindl. & Paxton), maidenhair tree (Ginkgo biloba L.), and royal azalea (Rhododendron schlippenbachii Maxim.). There was a higher capacity for the adsorption of PM2.5 on the leaf surfaces of B. koreana and T. cuspidata, followed by A. turbinata, C. retusus, E. japonicus, G. biloba, and M. denudata. In wax layer tests, T. cuspidata, A. turbinata, R. schlippenbachii, and C. retusus showed a statistically higher PM2.5 capturing capacity than the other species. Different types of trichomes were distributed on the adaxial and abaxial leaves of A. turbinata, C. retusus, M. denudata, pagoda tree (Styphnolobium japonicum (L.) Schott), B. koreana, and R. schlippenbachii; however, these trichomes were absent on both sides of the leaves of G. biloba, tuliptree (Liriodendron tulipifera L.), E. japonicus, and T. cuspidata. Importantly, leaf surfaces of G. biloba and S. japonicum with dense or thick epicuticular leaf waxes and deeper roughness revealed lower PM adsorption. Based on the overall performance of airborne PM capture efficiency, evergreen species such as B. koreana, T. cuspidata, and E. japonicus showed the best results, whereas S. japonicum and L. tulipifera had the lowest capture. In particular, evergreen shrub species showed higher PM2.5 depositions inside the inner wall of stomata or the periphery of guard cells. Therefore, in leaf microstructural factors, stomatal size may be related to notably high PM2.5 holding capacities on leaf surfaces, but stomatal density, trichome density, and roughness had a limited effect on PM adsorption. Finally, our findings indicate that surface-based microstructures are necessarily not a correlation for corresponding estimates with leaf PM adsorption.

scholarly journals The Removal Efficiencies of Several Temperate Tree Species at Adsorbing Airborne Particulate Matter in Urban Forests and Roadsides

Forests ◽  
2019 ◽  
Vol 10 (11) ◽  
pp. 960 ◽  
Author(s):  
Myeong Ja Kwak ◽  
Jongkyu Lee ◽  
Handong Kim ◽  
Sanghee Park ◽  
Yeaji Lim ◽  
...  
Keyword(s):  
Particulate Matter ◽  
Tree Species ◽  
Morphological Characteristics ◽  
Urban Forests ◽  
Urban Trees ◽  
Widespread Species ◽  
Area Index ◽  
Canopy Density ◽  
Leaf Surfaces ◽  
Removal Efficiencies

Although urban trees are proposed as comparatively economical and eco-efficient biofilters for treating atmospheric particulate matter (PM) by the temporary capture and retention of PM particles, the PM removal effect and its main mechanism still remain largely uncertain. Thus, an understanding of the removal efficiencies of individual leaves that adsorb and retain airborne PM, particularly in the sustainable planning of multifunctional green infrastructure, should be preceded by an assessment of the leaf microstructures of widespread species in urban forests. We determined the differences between trees in regard to their ability to adsorb PM based on the unique leaf microstructures and leaf area index (LAI) reflecting their overall ability by upscaling from leaf scale to canopy scale. The micro-morphological characteristics of adaxial and abaxial leaf surfaces directly affected the PM trapping efficiency. Specifically, leaf surfaces with grooves and trichomes showed a higher ability to retain PM as compared to leaves without epidermal hairs or with dynamic water repellency. Zelkova serrata (Thunb.) Makino was found to have significantly higher benefits with regard to adsorbing and retaining PM compared to other species. Evergreen needle-leaved species could be a more sustainable manner to retain PM in winter and spring. The interspecies variability of the PM adsorption efficiency was upscaled from leaf scale to canopy scale based on the LAI, showing that tree species with higher canopy density were more effective in removing PM. In conclusion, if urban trees are used as a means to improve air quality in limited open spaces for urban greening programs, it is important to predominantly select a tree species that can maximize the ability to capture PM by having higher canopy density and leaf grooves or trichomes.

Sign in / Sign up

Export Citation Format

Share Document