Leaf reflectance and functional traits as environmental indicators of urban dust deposition
| Autor: | Xinna Zhang, Guangpeng Sun, Jingliang Xu, Jing Fu, Chengyang Xu, Benling Li, Yujuan Cao, Jiyou Zhu |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Chlorophyll
Environmental Indicators Chlorophyll content Leaf reflectance Specific leaf area Research Dust deposition Botany Red edge Plant Science Biology Atmospheric sciences biology.organism_classification Reflectivity Leaf functional traits Plant Leaves Ligustrum quihoui QK1-989 Forecast model Dry matter Absorption (electromagnetic radiation) Deposition (chemistry) |
| Zdroj: | BMC Plant Biology BMC Plant Biology, Vol 21, Iss 1, Pp 1-13 (2021) |
| ISSN: | 1471-2229 |
| Popis: | Background How 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. Results The 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. Conclusion In 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. |
| Databáze: | OpenAIRE |
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