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ORIGINAL RESEARCH article

Front. Environ. Sci.
Sec. Soil Processes
Volume 12 - 2024 | doi: 10.3389/fenvs.2024.1515571
This article is part of the Research Topic Reduction of Greenhouse Gas Emissions from Soil View all 6 articles

Spatial-temporal Characteristics and Influencing Factors of Farmland Carbon Emissions in Guangdong Province, China

Provisionally accepted
Zihao Chao Zihao Chao 1Ziyang Zhu Ziyang Zhu 1*Yuchen Li Yuchen Li 2
  • 1 Surveying and Mapping Institute Lands and Resource Department of Guangdong Province, Guangzhou, China
  • 2 South China Normal University, Guangzhou, Guangdong, China

The final, formatted version of the article will be published soon.

    Agricultural carbon emissions account for 17% of total greenhouse gas emissions in China. To effectively address the eco-environment changes in farmland, which serves as the foundation of agricultural activities, it is essential to estimate regional farmland carbon emissions. This study calculated the farmland carbon emissions in Guangdong from 2011 to 2021 using the classical IPCC carbon emission calculation methodology. The decoupling characteristics betweem farmland carbon emissions and agricultural output values were analyzed utilizing a decoupling model, and the influencing factors were examined through the Logarithmic Mean Divisia Index (LMDI). The results indicate that: (1) Farmland carbon emissions in Guangdong decreased by 13.21% from 2011 to 2021, with pesticide reductions contributing the most to emission decreases. Chemical fertilizers were the largest contributor to farmland carbon emissions, accounting for approximately 61.78% of the total.(2) The spatial distribution of farmland carbon emissions followed the pattern of "Western Guangdong>Northern Guangdong>Eastern Guangdong>Pearl River Delta". While emission intensity generally declined, regional disparities widened. (3) Most cities in Guangdong exhibited a strong decoupling relationship between farmland carbon emissions and agricultural output values, with decoupling coefficient ranging from -1.182 to -0.004. However, Heyuan and Shenzhen demonstrated a weak decoupling relationship. (4) The primary driver of increased farmland carbon emissions in Guangdong was the level of agricultural output, while improvements in agricultural production efficiency were the most significant inhibitory factor, followed by changes in the scale of agricultural labor force. This study offers policy recommendations to promote the reduction and sequestration of farmland carbon emissions in Guangdong.

    Keywords: farmland carbon emissions, Spatial-temporal characteristics, Influencing factors, Decoupling model, LMDI

    Received: 23 Oct 2024; Accepted: 23 Dec 2024.

    Copyright: © 2024 Chao, Zhu and Li. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Ziyang Zhu, Surveying and Mapping Institute Lands and Resource Department of Guangdong Province, Guangzhou, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.