Evidence map›Paper›PMID 40063820›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2025

A global estimate of multiecosystem photosynthesis losses under microplastic pollution.

Ruijie Zhu, Zhaoying Zhang, Naichi Zhang, Huan Zhong, Fanqi Zhou, Xiao Zhang, Cun Liu, Yingnan Huang, Yuan Yuan, Yujun Wang and 7 more

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Review
  8. Physiological and Multi-Omics Insights intoInternational journal of molecular sciences · 2025
    Article
  9. Reply to Brandes et al.: A first step, not a final word, on modeling microplastics-induced crop losses.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  10. Scaling laboratory results with machine learning is no silver bullet to strengthen global (micro)plastic mitigation policy.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  11. 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

17 authors.

Ruijie ZhuState Key Laboratory of Pollution Control and Resources Reuse, School of the Environment, Nanjing University, Nanjing 210023, China.
Zhaoying ZhangInternational Institute for Earth System Sciences, Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing University, Nanjing 210023, China.
Naichi ZhangState Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 211135, China.
Huan ZhongState Key Laboratory of Pollution Control and Resources Reuse, School of the Environment, Nanjing University, Nanjing 210023, China.ORCID 0000-0002-5100-9465
Fanqi ZhouState Key Laboratory of Pollution Control and Resources Reuse, School of the Environment, Nanjing University, Nanjing 210023, China.
Xiao ZhangState Key Laboratory of Pollution Control and Resources Reuse, School of the Environment, Nanjing University, Nanjing 210023, China.
Cun LiuState Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 211135, China.
Yingnan HuangState Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 211135, China.
Yuan YuanState Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 211135, China.
Yujun WangState Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 211135, China.ORCID 0000-0002-0921-0122
Chengjun LiInstitute of Environmental Research at Greater Bay Area, Key Laboratory for Water Quality and Conservation of the Pearl River Delta, Ministry of Education, Guangzhou University, Guangzhou 510006, China.
Huahong ShiState Key Laboratory of Estuarine and Coastal Research, East China Normal University Shanghai, Shanghai 200241, China.
Matthias C RilligInstitute of Biology, Freie Universität Berlin, Berlin 14195, Germany.ORCID 0000-0003-3541-7853
Fei DangState Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 211135, China.ORCID 0000-0002-2989-9916
Hongqiang RenState Key Laboratory of Pollution Control and Resources Reuse, School of the Environment, Nanjing University, Nanjing 210023, China.
Yongguang ZhangInternational Institute for Earth System Sciences, Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing University, Nanjing 210023, China.
Baoshan XingStockbridge School of Agriculture, University of Massachusetts, Amherst, MA 01003.ORCID 0000-0003-2028-1295

Funding

JST | Natural Science Foundation of Jiangsu Province (Jiangsu Natural Science Foundation) BK20220092MOST | National Key Research and Development Program of China (NKPs) 2023YFC3711400MOST | National Natural Science Foundation of China (NSFC) 42222702MOST | National Natural Science Foundation of China (NSFC) 52388101
6 · The paper itself

Abstract

Understanding how ecosystems respond to ubiquitous microplastic (MP) pollution is crucial for ensuring global food security. Here, we conduct a multiecosystem meta-analysis of 3,286 data points and reveal that MP exposure leads to a global reduction in photosynthesis of 7.05 to 12.12% in terrestrial plants, marine algae, and freshwater algae. These reductions align with those estimated by a constructed machine learning model using current MP pollution levels, showing that MP exposure reduces the chlorophyll content of photoautotrophs by 10.96 to 12.84%. Model estimates based on the identified MP-photosynthesis nexus indicate annual global losses of 4.11 to 13.52% (109.73 to 360.87 MT·y

Indexed as

EcosystemMicroplasticsPhotosynthesisWater Pollutants, ChemicalCrops, AgriculturalMicroplasticsWater Pollutants, Chemicalglobal food safetymachine learningmeta-analysismicroplastic (MP)photosynthesis reduction

Identifiers

PMID40063820
PMCPMC11929485

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.