Evidence map›Paper›PMID 32978511›Full record

ArticleScientific reports2020

Response of plant reflectance spectrum to simulated dust deposition and its estimation model.

Jiyou Zhu, Xinna Zhang, Weijun He, Xuemei Yan, Qiang Yu, Chengyang Xu, Qun'ou Jiang, Huaguo Huang, Ruirui Wang

Abstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Parasitism byFrontiers in plant science · 2024
    Article
  3. Article
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

9 authors.

Jiyou ZhuResearch Center for Urban Forestry of Beijing Forestry University, Key Laboratory for Forest Silviculture and Conservation of Ministry of Education, Key Laboratory for Silviculture and Forest Ecosystem Research in Arid- and Semi-Arid Region of State Forestry Administration, Beijing Forestry University, Beijing, 100083, China.
Xinna ZhangResearch Center for Urban Forestry of Beijing Forestry University, Key Laboratory for Forest Silviculture and Conservation of Ministry of Education, Key Laboratory for Silviculture and Forest Ecosystem Research in Arid- and Semi-Arid Region of State Forestry Administration, Beijing Forestry University, Beijing, 100083, China.
Weijun HeResearch Institude of Tropical Forestry, Chinese Academy of Forestry, Guangzhou, 510520, Guangdong, China.
Xuemei YanBeijing Advanced Innovation Center for Tree Breeding By Molecular Design, National Engineering Laboratory for Tree Breeding, School of Nature Conservation, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, 100083, China.
Qiang YuResearch Center for Urban Forestry of Beijing Forestry University, Key Laboratory for Forest Silviculture and Conservation of Ministry of Education, Key Laboratory for Silviculture and Forest Ecosystem Research in Arid- and Semi-Arid Region of State Forestry Administration, Beijing Forestry University, Beijing, 100083, China. yuqiang@bjfu.edu.cn.
Chengyang XuResearch Center for Urban Forestry of Beijing Forestry University, Key Laboratory for Forest Silviculture and Conservation of Ministry of Education, Key Laboratory for Silviculture and Forest Ecosystem Research in Arid- and Semi-Arid Region of State Forestry Administration, Beijing Forestry University, Beijing, 100083, China. cyxu@bjfu.edu.cn.
Qun'ou JiangSchool of Soil and Water Conservation, Beijing Forestry University, Beijing, 100083, China.
Huaguo HuangResearch Center for Urban Forestry of Beijing Forestry University, Key Laboratory for Forest Silviculture and Conservation of Ministry of Education, Key Laboratory for Silviculture and Forest Ecosystem Research in Arid- and Semi-Arid Region of State Forestry Administration, Beijing Forestry University, Beijing, 100083, China.
Ruirui WangResearch Center for Urban Forestry of Beijing Forestry University, Key Laboratory for Forest Silviculture and Conservation of Ministry of Education, Key Laboratory for Silviculture and Forest Ecosystem Research in Arid- and Semi-Arid Region of State Forestry Administration, Beijing Forestry University, Beijing, 100083, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To quantitatively reflect the relationship between dust and plant spectral reflectance. Dust from different sources in the city were selected to simulate the spectral characteristics of leaf dust. Taking Euonymus japonicus as the research object. Prediction model of leaf dust deposition was established based on spectral parameters. Results showed that among the three different dust pollutants, the reflection spectrum has 6 main reflection peaks and 7 main absorption valleys in 350-2500 nm. A steep reflection platform appears in the 692-763 nm band. In 760-1400 nm, the spectral reflectance gradually decreases with the increase of leaf dust coverage, and the variation range was coal dust > cement dust > pure soil dust. The spectral reflectance in 680-740 nm gradually decreases with the increase of leaf dust coverage. In the near infrared band, the fluctuation amplitude and slope of its first derivative spectrum gradually decrease with the increase of leaf dust. The biggest amplitude of variation was cement dust. With the increase of dust retention, the red edge position generally moves towards short wave direction, and the red edge slope generally decreases. The blue edge position moved to the short wave direction first and then to the long side direction, while the blue edge slope generally shows a decreasing trend. The yellow edge position moved to the long wave direction first and then to the short wave direction (coal dust, cement dust), and generally moved to the long side direction (pure soil dust). The yellow edge slope increases first and then decreases. The R

Identifiers

PMID32978511
PMCPMC7519691

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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.