Evidence map›Paper›PMID 33344870›Full record

ArticleGeoHealth2020

Effects of Ecological Restoration Measures on Soil Erosion Risk in the Three Gorges Reservoir Area Since the 1980s.

Yang Xiao, Qiang Xiao, Qinli Xiong, Zhipeng Yang

Abstract read
In one paragraph

Article in GeoHealth, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
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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

4 authors.

Yang XiaoCAS Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization and Ecological Restoration Biodiversity Conservation Key Laboratory of Sichuan Province, Chengdu Institute of Biology Chinese Academy of Sciences Chengdu China.ORCID https://orcid.org/0000-0002-8355-5209
Qiang XiaoInstitute of Ecology China West Normal University Nanchong China.ORCID https://orcid.org/0000-0003-1689-5892
Qinli XiongCAS Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization and Ecological Restoration Biodiversity Conservation Key Laboratory of Sichuan Province, Chengdu Institute of Biology Chinese Academy of Sciences Chengdu China.ORCID https://orcid.org/0000-0003-3827-3437
Zhipeng YangNational Natural Science Foundation of China Beijing China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ecosystem degradation accompanied by soil erosion risk is caused by the interaction of many factors, including climate change and human activities. Therefore, before attempting the optimal form of ecological restoration, we must know the key factors responsible for soil erosion risk and determine their impacts on the ecosystem health. To test this approach, we conducted a case study in the Three Gorges Reservoir Area from 1980 to 2015, where extensive restoration (primarily afforestation) has been conducted. The results showed that climate was most important during Period I (1980 to 1984), and explained 84% of the variation in erosion. However, vegetation became equally important during Period II (1985 to 2006), when it accounted for 51% of the variation. Climate became as important as vegetation during Period III (2007 to 2015), when it accounted for 51% of the variation. The temporal variation in the dominant factors that controlled soil erosion risk suggests that the ecological effect of vegetation improvement resulting from ecological restoration in Three Gorges Reservoir Area has been gradually enhanced since the 1980s.

Indexed as

climate changeecological restorationhuman activitiessoil erosion riskThree Gorges Reservoir area

Identifiers

PMID33344870
PMCPMC7737614

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

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.