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The research aimed to study absorption and reduction of PM2s by different plant community structure, and explore which plant community can have better or best comprehensive absorption efficiency, thereby improving and optimizing urban vegetation structure, further promoting improvement of urban air quality, improving people's quality of life, and ensuring a good living environment. In this paper, the method of quadrat survey commonly used in field survey was adopted to record the height, coverage, DBH and other indicators of statistical plants, and corresponding comprehensive value was calculated through these indexes. PM2 s was measured at forest edge, 4 and 8 m in the forest, with three repetitions. Subtraction amount of PM2 s determined at different layers was analyzed, as well as its relationship with comprehensive value of community structure. The results showed that PM2J amount decreased significantly at forest edge, 4 and 8 m in the forest, and better community structure had a positive effect on PM2 s absorption. The higher the comprehensive indexes of community structure such as plant height, DBH (arbor), density and coverage, the better the ability of absorbing and reducing PM2 j. Therefore, it must pay attention to the diversity of plant species per unit area, to build a good plant community structure, which could better improve structure of local ecosystem, and play a good role in absorbing and reducing PM2S pollutants in the atmosphere. [ABSTRACT FROM AUTHOR]

The overexploitation of the natural environment caused by urbanization makes more and more natural and semi-natural plant communities gradually lack, which causes a lot of irreversible damage to the environment. Therefore, it is very important to carry out ecological environment construction in all fields of urban construction. In this paper, based on theory and method of plant landscape construction under the concept of "nearly natural" plant community, through the investigation and analysis on plant species, distribution, and structural characteristics of plant community in Baguang District of Shenzhen, regional native plant species are summarized, and structural characteristics of original zonal plant community are simulated. The research aims to provide a reference basis for creating a coastal plant landscape with subtropical marine climate for Baguang and even Lingnan, constructing near natural ecological park according to local conditions, forming the pattern well-coordinated with the local natural ecosystem, and carrying out protection of the regional ecological environment. [ABSTRACT FROM AUTHOR]

The research aimed to study absorption and reduction of PM2s by different plant community structure, and explore which plant community can have better or best comprehensive absorption efficiency, thereby improving and optimizing urban vegetation structure, further promoting improvement of urban air quality, improving people's quality of life, and ensuring a good living environment. In this paper, the method of quadrat survey commonly used in field survey was adopted to record the height, coverage, DBH and other indicators of statistical plants, and corresponding comprehensive value was calculated through these indexes. PM2 s was measured at forest edge, 4 and 8 m in the forest, with three repetitions. Subtraction amount of PM2 s determined at different layers was analyzed, as well as its relationship with comprehensive value of community structure. The results showed that PM2J amount decreased significantly at forest edge, 4 and 8 m in the forest, and better community structure had a positive effect on PM2 s absorption. The higher the comprehensive indexes of community structure such as plant height, DBH (arbor), density and coverage, the better the ability of absorbing and reducing PM2 j. Therefore, it must pay attention to the diversity of plant species per unit area, to build a good plant community structure, which could better improve structure of local ecosystem, and play a good role in absorbing and reducing PM2S pollutants in the atmosphere. [ABSTRACT FROM AUTHOR]