Evidence map›Paper›PMID 40364390›Full record

ArticlePlants (Basel, Switzerland)2025

Noise Was Obviously Reduced by Both Leaf Texture and Surface Roughness in Leaf Scale.

Guangpeng Sun, Bingqian Ma, Xianwen Li, Juyang Liao, Liuduan Wei, Xuan Guo, Chengyang Xu, Xiangqi Kong, Guixiang Jin, Yingshan Jin

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Plants (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Guangpeng SunResearch Center for Urban Forestry of Beijing Forestry University, Key Laboratory for Silviculture and Forest Conservation of the Ministry of Education, Beijing 100083, China.ORCID 0009-0000-7752-4185
Bingqian MaResearch Center for Urban Forestry of Beijing Forestry University, Key Laboratory for Silviculture and Forest Conservation of the Ministry of Education, Beijing 100083, China.ORCID 0009-0008-9472-3213
Xianwen LiResearch Center for Urban Forestry of Beijing Forestry University, Key Laboratory for Silviculture and Forest Conservation of the Ministry of Education, Beijing 100083, China.
Juyang LiaoChangsha-Zhuzhou-Xiangtan Long-Term Observation Station of Urban Agglomeration Ecosystem, Changsha 410116, China.
Liuduan WeiResearch Center for Urban Forestry of Beijing Forestry University, Key Laboratory for Silviculture and Forest Conservation of the Ministry of Education, Beijing 100083, China.
Xuan GuoResearch Center for Urban Forestry of Beijing Forestry University, Key Laboratory for Silviculture and Forest Conservation of the Ministry of Education, Beijing 100083, China.
Chengyang XuResearch Center for Urban Forestry of Beijing Forestry University, Key Laboratory for Silviculture and Forest Conservation of the Ministry of Education, Beijing 100083, China.
Xiangqi KongSouthwest Engineering Research Center for Landscape Architecture, Southwestern Forestry University, Kunming 650224, China.
Guixiang JinJilin Provincial Academy of Forestry Sciences, Changchun 130033, China.
Yingshan JinBeijing Institute of Landscape Architecture, Beijing 100102, China.

Funding

Beijing Forestry University BLRC2023B06Bureau of Science, Technology and Informatization of Chaoyang District, Beijing Municipality CYSF-1904
6 · The paper itself

Abstract

(1) Woody plant species selection for urban forests is one of the key factors in reducing traffic noise in urban areas, and the ability of sound wave attenuation by leaves is one of the foundations for species selection. However, less references regarding the relationships between leaf morphological traits and noise reduction have been reported, especially the relationships between leaf texture (LT), leaf surface roughness (LSR), and noise reduction. (2) Eighteen arbors and shrubs were selected based on leaf texture and surface roughness characteristics, and noise reduction was measured using white noise sources in a self-designed device in a quiet laboratory at night. Then, the changes in noise reduction with LT and LSR were analyzed. (3) The noise reduction was significantly affected by LT, LSR, and their interaction (

Indexed as

leaf dry mass per arealeaf surface roughnessleaf textureleaf tissue densitynoise reduction

Identifiers

PMID40364390
PMCPMC12073355

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.