Leaf reflectance and functional traits as environmental indicators of urban dust deposition

BMC Plant Biology

Benling Li¹  Yujuan Cao²  Jing Fu²  Jiyou Zhu²  Jingliang Xu²  Xinna Zhang²  Chengyang Xu²  Guangpeng Sun² 

[1] Production and Operation Management Department, China Communications Construction Company, 100088, Beijing, China;Research Center for Urban Forestry, The Key Laboratory for Silviculture and Conservation of Ministry of Education, Beijing Forestry University, Key Laboratory for Silviculture and Forest Ecosystem of State Forestry and Grassland Administration , Beijing Forestry University, 100083, Beijing, China;

关键词: Dust deposition;    Forecast model;    Leaf functional traits;    Leaf reflectance;   

DOI  :  10.1186/s12870-021-03308-8

来源: Springer

【 摘 要 】

BackgroundHow to quickly predict and evaluate urban dust deposition is the key to the control of urban atmospheric environment. Here, we focus on changes of plant reflectance and plant functional traits due to dust deposition, and develop a prediction model of dust deposition based on these traits.ResultsThe results showed that (1) The average dust deposition per unit area of Ligustrum quihoui leaves was significantly different among urban environments (street (18.1001 g/m2), community (14.5597 g/m2) and park (9.7661 g/m2)). Among different urban environments, leaf reflectance curves tends to be consistent, but there were significant differences in leaf reflectance values (park (0.052–0.585) > community (0.028–0.477) > street (0.025–0.203)). (2) There were five major reflection peaks and five major absorption valleys. (3) The spectral reflectances before and after dust removal were significantly different (clean leaves > dust-stagnant leaves). 695 ~ 1400 nm was the sensitive range of spectral response. (4) Dust deposition has significant influence on slope and position of red edge. Red edge slope was park > community > street. After dust deposition, the red edge position has obviously “blue shift”. The moving distance of the red edge position increases with the increase of dust deposition. The forecast model of dust deposition amount established by simple ratio index (y = 2.517x + 0.381, R2 = 0.787, RMSE (root-mean-square error) = 0.187. In the model, y refers to dust retention, x refers to simple ratio index.) has an average accuracy of 99.98%. (5) With the increase of dust deposition, the specific leaf area and chlorophyll content index decreased gradually. The leaf dry matter content, leaf tissue density and leaf thickness increased gradually.ConclusionIn the dust-polluted environment, L. quihoui generally presents a combination of characters with lower specific leaf area, chlorophyll content index, and higher leaf dry matter content, leaf tissue density and leaf thickness. Leaf reflectance spectroscopy and functional traits have been proved to be effective in evaluating the changes of urban dust deposition.

【 授权许可】

CC BY