Direct N2O emissions from global tea plantations and mitigation potential by climate-smart practices

Jinyang Wang*, Pete Smith, Kristell Hergoualc'h, Jianwen Zou

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

13 Citations (Scopus)


Estimating N2O emissions from the agricultural sector and developing effective reduction strategies are essential to achieving the Paris Agreement 2 °C target. Based on 3705 observations from 435 articles, we demonstrated that the response of N2O emissions was more sensitive to N inputs on acidic soils than alkaline soils and that climatic factors influence this difference. Total global N2O emissions from tea plantations in the 2010s were estimated to be 46.5 Gg N yr–1 using an exponential model developed herein. Tea plantations are a significant contributor to N2O emissions from the agricultural sector in several countries. The intensity of yield-scale GHG emissions from tea was significantly higher than in other upland cereals. Applying climate-smart practices in Chinese tea plantations could reduce emissions equivalent to one-third of the global total. We conclude that accurate identification of N2O emission hotspots and implementation of targeted measures are essential to achieving global temperature control targets.

Original languageEnglish
Article number106501
JournalResources, Conservation and Recycling
Early online date1 Jul 2022
Publication statusPublished - Oct 2022

Bibliographical note

Funding Information:
This research was financially supported by the National Natural Science Foundation of China ( 42007072 , 42177285 ) and the Fundamental Research Funds for the Central Universities ( KJQN202119 ). J.W. thanks the funding support from the Startup Foundation for Introducing Talent of Nanjing Agricultural University ( 030/804028 ). K.H. acknowledges funding from the governments of the United States of America (Grant MTO-069033 ) and Norway ( QZA-21/−124 ). We thank two anonymous reviewers for helpful comments on earlier versions of the manuscript.

Data Availability Statement

Data will be made available on request.


  • Climate-smart agriculture
  • GHGI
  • Greenhouse gas
  • Management practice
  • Mitigation options
  • N use efficiency


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