Response characteristics of two typical shrubs in urban green space landscape to abnormal weather

Jing Li; Jiaxuan Zhu; Chuancheng Yang; Qiuyue He; Fangzhi Wang; Qing Zhang

doi:10.1117/12.2660636

6 December 2022 Response characteristics of two typical shrubs in urban green space landscape to abnormal weather

Jing Li, Jiaxuan Zhu, Chuancheng Yang, Qiuyue He, Fangzhi Wang, Qing Zhang

Proceedings Volume 12458, International Conference on Biomedical and Intelligent Systems (IC-BIS 2022); 1245848 (2022) https://doi.org/10.1117/12.2660636
Event: International Conference on Biomedical and Intelligent Systems, 2022, Chengdu, China

Abstract

Abnormal weather, such as sudden cooling and rainfall, has various impacts on the environment and plants. Shrub, as the main component of green vegetation community in urban ecosystem, its response to abnormal weather affects the stability of green space community in urban ecosystem to a certain extent. Therefore, two typical shrubs (Euonymus japonicus Thunb. var., aurea-marginatus Hort., and Photinia serrulata) were selected to systematically study the variation characteristics of the physiological indicators (soluble protein, chlorophyll, malondialdehyde) under abnormal weather, which were widely distributed in urban green space landscape construction as the research objects . The results showed that the total chlorophyll content and chlorophyll a/b value of the two shrubs decreased significantly under abnormal weather, and the effect of cooling on the chlorophyll a in two shrubs was more obvious. The change characteristics of soluble protein content after abnormal weather had a relatively consistent regularity with temperature, but it had a hysteresis compared with the change of temperature. However, the response of malondialdehyde to abnormal weather is not obvious.

Citation Download Citation

Jing Li, Jiaxuan Zhu, Chuancheng Yang, Qiuyue He, Fangzhi Wang, and Qing Zhang "Response characteristics of two typical shrubs in urban green space landscape to abnormal weather", Proc. SPIE 12458, International Conference on Biomedical and Intelligent Systems (IC-BIS 2022), 1245848 (6 December 2022); https://doi.org/10.1117/12.2660636

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