Evidence map›Paper›PMID 40140373›Full record

ArticleNature communications2025

Global and regional patterns of soil metal(loid) mobility and associated risks.

Chongchong Qi, Tao Hu, Yi Zheng, Mengting Wu, Fiona H M Tang, Min Liu, Bintian Zhang, Sybil Derrible, Qiusong Chen, Gongren Hu and 2 more

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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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

12 authors.

Chongchong QiSchool of Metallurgy and Environment, Central South University, Changsha, 410083, China.ORCID http://orcid.org/0000-0001-5189-1614
Tao HuSchool of Resources and Safety Engineering, Central South University, Changsha, 410083, China.
Yi ZhengSchool of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, 518000, China.ORCID http://orcid.org/0000-0001-8442-182X
Mengting WuSchool of Resources and Safety Engineering, Central South University, Changsha, 410083, China.
Fiona H M TangDepartment of Civil Engineering, Monash University, Clayton, 3800, Victoria, Australia.ORCID http://orcid.org/0000-0002-8119-4016
Min LiuSchool of Physics and Electronics, Central South University, Changsha, 410083, Hunan, China.ORCID http://orcid.org/0000-0002-9007-4817
Bintian ZhangSchool of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, 518000, China.
Sybil DerribleDepartment of Civil, Materials, and Environmental Engineering, University of Illinois Chicago (UIC), Illinois, 60607, USA.ORCID http://orcid.org/0000-0002-2939-6016
Qiusong ChenSchool of Resources and Safety Engineering, Central South University, Changsha, 410083, China.
Gongren HuCollege of Chemical Engineering, Huaqiao University, Xiamen, 361021, China.
Liyuan ChaiSchool of Metallurgy and Environment, Central South University, Changsha, 410083, China.
Zhang LinSchool of Metallurgy and Environment, Central South University, Changsha, 410083, China. zhang_lin@csu.edu.cn.

Funding

National Natural Science Foundation of China (National Science Foundation of China) 22494680
6 · The paper itself

Abstract

Soil contamination by metals and metalloids (metal[loid]s) is a global issue with significant risks to human health, ecosystems, and food security. Accurate risk assessment depends on understanding metal(loid) mobility, which dictates bioavailability and environmental impact. Here we show a theory-guided machine learning model that predicts soil metal(loid) fractionation across the globe. Our model identifies total metal(loid) content and soil organic carbon as primary drivers of metal(loid) mobility. We find that 37% of the world's land is at medium-to-high mobilization risk, with hotspots in Russia, Chile, Canada, and Namibia. Our analysis indicates that global efforts to enhance soil carbon sequestration may inadvertently increase metal(loid) mobility. Furthermore, in Europe, the divergence between spatial distributions of total and mobile metal(loid)s is uncovered. These findings offer crucial insights into global distributions and drivers of soil metal(loid) mobility, providing a robust tool for prioritizing metal(loid) mobility testing, raising awareness, and informing sustainable soil management practices.

Indexed as

MetalloidsMetalsSoilSoil PollutantsCanadaCarbonChileEcosystemEnvironmental MonitoringHumansMachine LearningRisk AssessmentRussiaCarbonMetalloidsMetalsSoilSoil Pollutants

Identifiers

PMID40140373
PMCPMC11947231

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.