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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
  • , Chengjun Li
  • , Huahong Shi
  • , Matthias C. Rillig
  • , Fei Dang*
  • , Hongqiang Ren
  • , Yongguang Zhang
  • , Baoshan Xing
  • *Corresponding author for this work
  • Nanjing University
  • Chinese Academy of Sciences
  • University of Chinese Academy of Sciences
  • Guangzhou University
  • Free University of Berlin
  • Berlin-Brandenburg Institute of Advanced Biodiversity Research
  • University of Massachusetts

Research output: Contribution to journalArticlepeer-review

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−1) for main crops and 0.31 to 7.24% (147.52 to 3415.11 MT C·y−1) for global aquatic net primary productivity induced by MPs. Under scenarios of efficient plastic mitigation, e.g., a ~13% global reduction in environmental MP levels, the MP-induced photosynthesis losses are estimated to decrease by ~30%, avoiding a global loss of 22.15 to 115.73 MT·y−1 in main crop production and 0.32 to 7.39 MT·y−1 in seafood production. These findings underscore the urgency of integrating plastic mitigation into global hunger and sustainability initiatives.

Original languageEnglish
Article numbere2423957122
JournalProceedings of the National Academy of Sciences of the United States of America
Volume122
Issue number11
DOIs
StatePublished - 18 Mar 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 2 - Zero Hunger
    SDG 2 Zero Hunger
  2. SDG 14 - Life Below Water
    SDG 14 Life Below Water
  3. SDG 15 - Life on Land
    SDG 15 Life on Land

Keywords

  • global food safety
  • machine learning
  • meta-analysis
  • microplastic (MP)
  • photosynthesis reduction

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