A global estimate of multiecosystem photosynthesis losses under microplastic pollution

R Ruijie Zhu (School of Environment, Nanjing University, State Key Laboratory of Water Pollution Control and Green Resource Recycling) Z Zhaoying Zhang (International Institute for Earth System Sciences, Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing University) N Naichi Zhang (State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences) H Huan Zhong F Fanqi Zhou (State Key Laboratory of Pollution Control and Resources Reuse, School of the Environment, Nanjing University) X Xiao Zhang C Cun Liu (State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences) Y Yingnan Huang (State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences) Y Yuan Yuan Y Yujun Wang (State Key Laboratory of Chemical Engineering and Low-Carbon Technology, Department of Chemical Engineering) C Chengjun Li H Huahong Shi (State Key Laboratory of Estuarine and Coastal Research, East China Normal University Shanghai) M Matthias C. Rillig (Department of Biology, Chemistry, and Pharmacy, Institute of Biology, Freie Universität Berlin) F Fei Dang (State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences) H Hongqiang Ren (Nanjing University , , ,) Y Yongguang Zhang (International Institute for Earth System Sciences, Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing University) B Baoshan Xing

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.

Article Details

Volume / Issue Vol. 122, Issue 11
Published March 18, 2025
ISSN 0027-8424
Publisher National Academy of Sciences

Authors (17)

R

Ruijie Zhu

School of Environment, Nanjing University, State Key Laboratory of Water Pollution Control and Green Resource Recycling

Z

Zhaoying Zhang

International Institute for Earth System Sciences, Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing University

N

Naichi Zhang

State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences

H

Huan Zhong

F

Fanqi Zhou

State Key Laboratory of Pollution Control and Resources Reuse, School of the Environment, Nanjing University

X

Xiao Zhang

C

Cun Liu

State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences

Y

Yingnan Huang

State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences

Y

Yuan Yuan

Y

Yujun Wang

State Key Laboratory of Chemical Engineering and Low-Carbon Technology, Department of Chemical Engineering

C

Chengjun Li

H

Huahong Shi

State Key Laboratory of Estuarine and Coastal Research, East China Normal University Shanghai

M

Matthias C. Rillig

Department of Biology, Chemistry, and Pharmacy, Institute of Biology, Freie Universität Berlin

F

Fei Dang

State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences

H

Hongqiang Ren

Nanjing University , , ,

Y

Yongguang Zhang

International Institute for Earth System Sciences, Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing University

B

Baoshan Xing