Evidence map›Paper›PMID 41016925›Full record

ReviewNature communications2025

Aligning global mercury mitigation with climate action.

Chengjun Li, Mengjie Wu, Wenli Tang, Ben Yu, Alfonso Saiz-Lopez, Alexandre Poulain, Michael S Bank, Qinghua Zhou, Paul L E Bodelier, Zhen Yan and 5 more

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Nature communications, 2025. 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

15 authors.

Chengjun LiNanjing Institute of Environmental Sciences, Ministry of Ecology and Environment, Nanjing, China.ORCID http://orcid.org/0000-0001-6127-7423
Mengjie WuState Key Laboratory of Water Pollution Control and Green Resource Recycling, School of Environment, Nanjing University, Nanjing, China.
Wenli TangState Key Laboratory of Water Pollution Control and Green Resource Recycling, School of Environment, Nanjing University, Nanjing, China.ORCID http://orcid.org/0000-0003-0691-3604
Ben YuNational Research Center for Environmental Analysis and Measurement, Beijing, China.
Alfonso Saiz-LopezDepartment of Atmospheric Chemistry and Climate, Institute of Physical Chemistry Blas Cabrera, Spanish National Research Council (CSIC), Madrid, Spain.ORCID http://orcid.org/0000-0002-0060-1581
Alexandre PoulainDepartment of Biology, University of Ottawa, 30 Marie Curie, Ottawa, ON, Canada.ORCID http://orcid.org/0000-0002-0488-3993
Michael S BankInstitute of Marine Research, Bergen, Norway.ORCID http://orcid.org/0000-0001-5194-7171
Qinghua ZhouState Key Laboratory of Water Pollution Control and Green Resource Recycling, School of Environment, Nanjing University, Nanjing, China.
Paul L E BodelierDepartment of Microbial Ecology, Netherlands Institute of Ecology (NIOO-KNAW), Droevendaalsesteeg 10, Wageningen, The Netherlands.
Zhen YanShandong Key Laboratory of Water Pollution Control and Resource Reuse, School of Environmental Science and Engineering, Shandong University, Qingdao, China.ORCID http://orcid.org/0000-0002-6213-9054
Beat FreyForest Soils and Biogeochemistry, Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Zürcherstrasse 111, Birmensdorf, Switzerland.ORCID http://orcid.org/0000-0002-6391-3574
Haiyan HuState Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, Guiyang, China.ORCID http://orcid.org/0000-0002-5768-6731
Jiaxing ChenInstitute of Environmental Research at Greater Bay Area, Guangzhou University, Guangzhou, China.
Yuelu JiangTechnology Innovation Center for Marine Ecology and Human Factor Assessment of Natural Resources Ministry, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China.ORCID http://orcid.org/0000-0002-7448-4410
Huan ZhongState Key Laboratory of Water Pollution Control and Green Resource Recycling, School of Environment, Nanjing University, Nanjing, China. zhonghuan@nju.edu.cn.ORCID http://orcid.org/0000-0002-5100-9465

Funding

National Natural Science Foundation of China (National Science Foundation of China) 41673075National Natural Science Foundation of China (National Science Foundation of China) 42107223
6 · The paper itself

Abstract

Environmental mercury (Hg) pollution affects microbial community structure and functions. Yet, whether and how this influence cascades through microbe-mediated cycling of major greenhouse gases (GHGs) remains poorly understood. This Perspective synthesizes emerging evidence on the Hg-microbe-GHG nexus, exploring the possibility that global Hg emission reductions, while critical for human and planetary health, may cause alterations to microbe-mediated GHG fluxes. Significant knowledge gaps persist, however, regarding the Hg-microbe-GHG nexus, particularly concerning the magnitude and direction of the nexus's net impact on climate and global environmental change. To bridge these gaps, we propose a three-step roadmap aimed at disentangling the potential impacts of global Hg emission mitigation strategies on microbial communities, associated GHG emissions, and subsequent climate change. Collectively, these joint efforts from scientists, industry, community stakeholders, and policymakers are critical to harmonizing global Hg mitigation efforts with climate action and to ensuring a sustainable future for Earth systems and their inhabitants.

Indexed as

Climate ChangeEnvironmental PollutantsEnvironmental PollutionMercuryGreenhouse GasesHumansMicrobiotaEnvironmental PollutantsGreenhouse GasesMercury

Identifiers

PMID41016925
PMCPMC12477292

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.