Spatial-temporal characteristics and influencing factors of farmland carbon emissions in Guangdong Province, China
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 t...
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Frontiers Media S.A.
2025-01-01
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| Series: | Frontiers in Environmental Science |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fenvs.2024.1515571/full |
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| author | Zihao Chao Zihao Chao Zihao Chao Ziyang Zhu Ziyang Zhu Ziyang Zhu Yuchen Li |
| author_facet | Zihao Chao Zihao Chao Zihao Chao Ziyang Zhu Ziyang Zhu Ziyang Zhu Yuchen Li |
| author_sort | Zihao Chao |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-23eec37e97b64b199ade79e8c017ae5a |
| institution | Kabale University |
| issn | 2296-665X |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Environmental Science |
| spelling | doaj-art-23eec37e97b64b199ade79e8c017ae5a2025-01-08T06:11:57ZengFrontiers Media S.A.Frontiers in Environmental Science2296-665X2025-01-011210.3389/fenvs.2024.15155711515571Spatial-temporal characteristics and influencing factors of farmland carbon emissions in Guangdong Province, ChinaZihao Chao0Zihao Chao1Zihao Chao2Ziyang Zhu3Ziyang Zhu4Ziyang Zhu5Yuchen Li6Surveying and Mapping Institute Lands and Resource Department of Guangdong Province, Guangzhou, ChinaKey Laboratory of Natural Resources Monitoring in Tropical and Subtropical Area of South China, Ministry of Natural Resources, Guangzhou, ChinaGuangdong Science and Technology Collaborative Innovation Center for Natural Resources, Guangzhou, ChinaSurveying and Mapping Institute Lands and Resource Department of Guangdong Province, Guangzhou, ChinaKey Laboratory of Natural Resources Monitoring in Tropical and Subtropical Area of South China, Ministry of Natural Resources, Guangzhou, ChinaGuangdong Science and Technology Collaborative Innovation Center for Natural Resources, Guangzhou, ChinaSchool of Geography, South China Normal University, Guangzhou, ChinaAgricultural 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.https://www.frontiersin.org/articles/10.3389/fenvs.2024.1515571/fullfarmland carbon emissionsspatial-temporal characteristicsinfluencing factorsdecoupling modelLMDI |
| spellingShingle | Zihao Chao Zihao Chao Zihao Chao Ziyang Zhu Ziyang Zhu Ziyang Zhu Yuchen Li Spatial-temporal characteristics and influencing factors of farmland carbon emissions in Guangdong Province, China Frontiers in Environmental Science farmland carbon emissions spatial-temporal characteristics influencing factors decoupling model LMDI |
| title | Spatial-temporal characteristics and influencing factors of farmland carbon emissions in Guangdong Province, China |
| title_full | Spatial-temporal characteristics and influencing factors of farmland carbon emissions in Guangdong Province, China |
| title_fullStr | Spatial-temporal characteristics and influencing factors of farmland carbon emissions in Guangdong Province, China |
| title_full_unstemmed | Spatial-temporal characteristics and influencing factors of farmland carbon emissions in Guangdong Province, China |
| title_short | Spatial-temporal characteristics and influencing factors of farmland carbon emissions in Guangdong Province, China |
| title_sort | spatial temporal characteristics and influencing factors of farmland carbon emissions in guangdong province china |
| topic | farmland carbon emissions spatial-temporal characteristics influencing factors decoupling model LMDI |
| url | https://www.frontiersin.org/articles/10.3389/fenvs.2024.1515571/full |
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