Evidence map›Paper›PMID 41593103›Full record

ArticleNature communications2026

Vegetation greening drives long-term dust mitigation in Eastern Asia.

Yang Fu, Chenglai Wu, Shan Gao, Josep Peñuelas, J Julio Camarero, Jingtian Zhang, Dou Li, Xiangyu Zheng, Zhuolun Li, Yafeng Wang and 2 more

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

12 authors.

Yang FuCollege of Earth and Environmental Sciences, Lanzhou University, Lanzhou, Gansu, China.ORCID http://orcid.org/0009-0007-0576-9942
Chenglai WuState Key Laboratory of Earth System Numerical Modeling and Application, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China.ORCID http://orcid.org/0000-0002-8397-2424
Shan GaoState Key Laboratory of Tibetan Plateau Earth System, Environment and Resources (TPESER), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, China.ORCID http://orcid.org/0000-0002-1452-8741
Josep PeñuelasCREAF, Cerdanyola del Valles, Barcelona, Catalonia, Spain.ORCID http://orcid.org/0000-0002-7215-0150
J Julio CamareroInstituto Pirenaico de Ecología (IPE-CSIC), Zaragoza, Spain.ORCID http://orcid.org/0000-0003-2436-2922
Jingtian ZhangState Key Laboratory of Tibetan Plateau Earth System, Environment and Resources (TPESER), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, China.
Dou LiState Key Laboratory of Tibetan Plateau Earth System, Environment and Resources (TPESER), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, China.
Xiangyu ZhengState Key Laboratory of Tibetan Plateau Earth System, Environment and Resources (TPESER), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, China.ORCID http://orcid.org/0009-0008-8396-0627
Zhuolun LiCollege of Earth and Environmental Sciences, Lanzhou University, Lanzhou, Gansu, China.ORCID http://orcid.org/0000-0003-4164-8551
Yafeng WangState Key Laboratory of Tibetan Plateau Earth System, Environment and Resources (TPESER), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, China. yfwang@itpcas.ac.cn.ORCID http://orcid.org/0000-0002-8282-3099
Eryuan LiangState Key Laboratory of Tibetan Plateau Earth System, Environment and Resources (TPESER), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, China.ORCID http://orcid.org/0000-0002-8003-4264
Shilong PiaoState Key Laboratory of Tibetan Plateau Earth System, Environment and Resources (TPESER), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, China.

Funding

China Scholarship Council (CSC) 202310550002National Natural Science Foundation of China (National Science Foundation of China) 42271003National Natural Science Foundation of China (National Science Foundation of China) U2243204
6 · The paper itself

Abstract

Dryland vegetation dynamics play a fundamental role in dust mitigation. While weaker winds have driven recent dust decline in Eastern Asia, the long-term influence of vegetation remains overlooked. Here, using a physically based modeling approach that partitions the drivers of dust emissions across timescales, we reveal that surface wind dominates interannual variability, negatively correlated with the El Niño-Southern Oscillation, Arctic Oscillation, and Pacific Decadal Oscillation. On a multidecadal scale, however, vegetation cover emerges as the key driver, reducing dust emissions by 32.5% since the early 2000s-a trend projected to continue through 2100. Without these vegetation gains, dust emissions would increase under various CMIP6 projections. Vegetation contributions are uneven: greening of perennial dryland vegetation in sparsely vegetated regions (<15% cover; responsible for 95% of dust emissions) offers the greatest mitigation by stabilizing the land surface and suppressing long-term emissions. These findings highlight priority areas for ecological restoration to sustain dust reduction and advance regional sustainability goals.

Identifiers

PMID41593103
PMCPMC12913771

What OpenQuestion holds

Textmetadata
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.