Evidence map›Paper›PMID 38556521›Full record

ArticleScientific reports2024

Evaluation of vegetation restoration effectiveness along the Yangtze River shoreline and its response to land use changes.

Yinlan Huang, Xinyi Li, Dan Liu, Binyan Duan, Xinyu Huang, Shi Chen

Abstract read
In one paragraph

Article in Scientific reports, 2024. 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

6 authors.

Yinlan HuangSchool of Geography and Planning, Chizhou University, Chizhou, 247000, China.
Xinyi LiSchool of Geography and Planning, Chizhou University, Chizhou, 247000, China.
Dan LiuSchool of Geography and Planning, Chizhou University, Chizhou, 247000, China.
Binyan DuanSchool of Geography and Planning, Chizhou University, Chizhou, 247000, China.
Xinyu HuangSchool of Geography and Planning, Chizhou University, Chizhou, 247000, China.
Shi ChenSchool of Geography and Planning, Chizhou University, Chizhou, 247000, China. shic11@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Assessing the effectiveness of vegetation restoration along the Yangtze River shoreline and exploring its relationship with land use changes are imperative for providing recommendations for sustainable management and environmental protection. However, the impact of vegetation restoration post-implementation of the Yangtze River Conservation Project remains uncertain. In this study, utilizing Sentinel-2 satellite imagery and Dynamic World land use data from pre- (2016) and post- (2022) Yangtze River Conservation Project periods, pixel-based binary models, transition matrices, and geographically weighted regression models were employed to analyze the status and evolution of vegetation coverage along the Yangtze River shoreline. The results indicated that there had been an increase in the area covered by high and high-medium vegetation levels. The proportion of vegetation cover shifting to better was 4201.87 km

Identifiers

PMID38556521
PMCPMC10982293

What OpenQuestion holds

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Registered trials

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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.