Evidence map›Paper›PMID 42498716›Full record

ArticleNature communications2026

Upwind terrestrial influences on soil moisture variability across South America.

Feini Huang, Shijie Jiang, Wei Shangguan, Gustau Camps-Valls, Alexander Winkler, Wantong Li, Gregory Duveiller, Christian Reimers, Wenli Zhao, Markus Reichstein and 1 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

11 authors.

Feini HuangSchool of Atmospheric Sciences, Sun Yat-Sen University, Zhuhai, China.
Shijie JiangDepartment of Biogeochemical Integration, Max Planck Institute for Biogeochemistry, Jena, Germany. sjiang@bgc-jena.mpg.de.ORCID http://orcid.org/0000-0002-2808-9559
Wei ShangguanSchool of Atmospheric Sciences, Sun Yat-Sen University, Zhuhai, China. shgwei@mail.sysu.edu.cn.ORCID http://orcid.org/0000-0001-7622-8210
Gustau Camps-VallsImage Processing Lab (IPL), Universitat de València, Valencia, Spain.ORCID http://orcid.org/0000-0003-1683-2138
Alexander WinklerDepartment of Biogeochemical Integration, Max Planck Institute for Biogeochemistry, Jena, Germany.ORCID http://orcid.org/0000-0001-6574-4471
Wantong LiDepartment of Environmental Science, Policy and Management, UC Berkeley, Berkeley, CA, USA.ORCID http://orcid.org/0000-0001-9861-4294
Gregory DuveillerDepartment of Biogeochemical Integration, Max Planck Institute for Biogeochemistry, Jena, Germany.ORCID http://orcid.org/0000-0002-6471-8404
Christian ReimersDepartment of Biogeochemical Integration, Max Planck Institute for Biogeochemistry, Jena, Germany.ORCID http://orcid.org/0000-0003-1127-136X
Wenli ZhaoDepartment of Earth and Environmental Engineering, Columbia University, New York, NY, USA.
Markus ReichsteinDepartment of Biogeochemical Integration, Max Planck Institute for Biogeochemistry, Jena, Germany.ORCID http://orcid.org/0000-0001-5736-1112
Yongjiu DaiSchool of Atmospheric Sciences, Sun Yat-Sen University, Zhuhai, China.ORCID http://orcid.org/0000-0002-3588-6644

Funding

Carl-Zeiss-Stiftung (Carl Zeiss Foundation) P2021-00-008
6 · The paper itself

Abstract

Soil moisture across South America exhibits coherent spatial patterns shaped by upwind terrestrial conditions, yet their downwind propagation remains poorly quantified. We develop an observation-driven framework integrating atmospheric transport trajectories with deep learning to estimate vegetation's contribution to downwind soil moisture. The transport-informed model outperforms a local-only baseline, with upwind information contributing 67% of predictive power, of which vegetation explains 15%. This vegetation-mediated influence is enhanced over agricultural zones, forming hotspots aligned with land-cover change and drought exposure. The cross-regional influence is organized along major transport corridors and varies non-linearly with climate. In humid forests, downwind moisture supply is highly sensitive to vegetation change, with canopy degradation associated with reduced soil moisture; in semi-arid regions, initial greening is associated with increases, but further greening weakens or reverses the effect. These results quantify vegetation-soil moisture teleconnections, with implications for land-atmosphere coupling in Earth system models and hydrological consequences of land-use and climate change.

Identifiers

PMID42498716
PMCPMC13400732

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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.