Evidence map›Paper›PMID 39885122›Full record

ArticleNature communications2025

Declines in anthropogenic mercury emissions in the Global North and China offset by the Global South.

Xinran Qiu, Maodian Liu, Yuanzheng Zhang, Qianru Zhang, Huiming Lin, Xingrui Cai, Jin Li, Rong Dai, Shuxiu Zheng, Jinghang Wang and 5 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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

15 authors.

Xinran QiuMinistry of Education Laboratory of Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing, China.ORCID http://orcid.org/0009-0002-0850-6455
Maodian LiuMinistry of Education Laboratory of Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing, China. maodian.liu@pku.edu.cn.ORCID http://orcid.org/0000-0001-5059-0334
Yuanzheng ZhangMinistry of Education Laboratory of Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing, China.
Qianru ZhangNicholas School of the Environment, Duke University, Durham, NC, USA.ORCID http://orcid.org/0009-0001-0376-2858
Huiming LinMinistry of Education Laboratory of Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing, China.
Xingrui CaiMinistry of Education Laboratory of Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing, China.
Jin LiMinistry of Education Laboratory of Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing, China.
Rong DaiMinistry of Education Laboratory of Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing, China.
Shuxiu ZhengMinistry of Education Laboratory of Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing, China.
Jinghang WangMinistry of Education Laboratory of Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing, China.
Yaqi ZhuMinistry of Education Laboratory of Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing, China.
Huizhong ShenShenzhen Key Laboratory of Precision Measurement and Early Warning Technology for Urban Environmental Health Risks, School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, China.ORCID http://orcid.org/0000-0003-1335-8477
Guofeng ShenMinistry of Education Laboratory of Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing, China.ORCID http://orcid.org/0000-0002-7731-5399
Xuejun WangMinistry of Education Laboratory of Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing, China. xjwang@urban.pku.edu.cn.ORCID http://orcid.org/0000-0001-9990-1391
Shu TaoMinistry of Education Laboratory of Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing, China.ORCID http://orcid.org/0000-0002-7374-7063

Funding

National Natural Science Foundation of China (National Science Foundation of China) 42476127, 41821005
6 · The paper itself

Abstract

Human activities have emitted substantial mercury into the atmosphere, significantly impacting ecosystems and human health worldwide. Currently, consistent methodologies to evaluate long-term mercury emissions across countries and industries are scant, hindering efforts to prioritize emission controls. Here, we develop a high-spatiotemporal-resolution dataset to comprehensively analyze global anthropogenic mercury emission patterns. We show that global emissions increased 330% during 1960-2021, with declines in developed Global North countries since the 1990s and China since the 2010s completely offset by rapid growth in Global South countries (excluding China). Consequently, global emissions have continued to rise slightly since the 2013 Minamata Convention. In 2021, Global South countries produced two-thirds of global emissions, despite comprising only one-fifth of the global economy. We predict that, although large uncertainties exist, continued emission growth in Global South countries under a business-as-usual scenario could increase 10%-50% global mercury emissions by 2030. Our findings demonstrate that global control of anthropogenic mercury emissions has reached a critical juncture, highlighting the urgent need to target reductions in Global South countries to prevent worsening health and environmental impacts.

Identifiers

PMID39885122
PMCPMC11782624

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.