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| 江苏典型茶区碳足迹及其影响因素 |
| Carbon footprint assessment and its influencing factors analysis for typical tea regions in Jiangsu |
| 投稿时间：2025-03-14 |
| DOI：10.13254/j.jare.2025.0209 |
| 中文关键词: 茶园，碳足迹，生命周期评价，随机森林模型，温室气体排放 |
| 英文关键词: tea plantation, carbon footprint, life cycle assessment, random forest model, greenhouse gas emission |
| 基金项目:江苏农林职业技术学院院级科研项目（2024rc38）；江苏现代农业（茶叶）产业技术体系集成创新中心（JATS〔2023〕338）；中央引导地方科技发展资金项目（2024ZY-CGZY-14）；江苏省优秀青年基金项目（BK20230076）；亚夫科技创新与服务项目（2024kj03） |
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| 中文摘要: |
| 厘清典型茶园生产系统的碳排放水平，解析关键排放源的贡献特征对明确茶叶生产减排降碳目标、制定精准减排策略具有重要价值。本研究以江苏典型茶区茶园为对象，基于农事操作及农资投入数据，采用生命周期评价法估算了茶园种植阶段碳足迹，通过随机森林模型等方法分析了其影响因素。结果表明，江苏典型茶区单位面积和单位产量碳足迹分别为6.38 t CO2-eq·hm-2和3.67 kg CO2-eq·kg-1。从产区来看，单位面积碳足迹表现为连云港茶区<环太湖低山丘陵茶区<宁镇扬丘陵茶区的趋势；单位产量碳足迹为环太湖低山丘陵茶区<连云港茶区<宁镇扬丘陵茶区，其中环太湖低山丘陵茶区显著低于宁镇扬丘陵茶区，是后者碳足迹的67.21%。种植年限会显著影响茶园碳足迹，与<50年茶园相比，>50年茶园单位面积碳足迹显著降低了55.18%~56.94%，单位产量碳足迹降低了29.62%~53.60%。化肥和有机肥施用导致的直接和间接温室气体排放是江苏茶园碳足迹最主要的来源，合计占比为87.72%。农药、燃油、电力、劳动力投入对江苏茶区碳足迹贡献比例较小，但电力、茶园面积分别是影响环太湖低山丘陵茶区和宁镇扬丘陵茶区碳足迹的重要因素。研究表明，化肥和有机肥施用量、茶园种植年限、灌溉用电以及茶园面积是调控江苏茶区碳足迹的重要驱动因子。未来江苏茶区可通过加强茶园绿色生产技术培训，增强测土配方施肥、茶树专用肥、水肥一体化等技术的推广，深入优化茶园施肥结构，进一步降低碳足迹。 |
| 英文摘要: |
| Understanding carbon emissions from tea plantation systems and identifying key emission sources are pivotal for establishing targeted mitigation strategies in tea production. This study conducted a life cycle assessment（LCA）combined with random forest modeling to quantify the carbon footprint and explore driving factors in Jiangsu Province’s tea plantations. Key findings revealed an average carbon footprint of 6.38 t CO2-eq·hm-2 and 3.67 kg CO2-eq·kg-1 of tea yield. Regional disparities exhibited distinct patterns：Lianyungang tea region demonstrated the lowest area-scaled carbon footprint, followed by the circum-Taihu low mountain and hilly tea region and Ningzhenyang hilly tea region. Conversely, the circum-Taihu low mountain and hilly tea region achieved the lowest yield-scaled carbon footprint, representing only 67.21% of the Ningzhenyang hilly tea region（P<0.05）. Planting ages significantly influenced carbon footprint, with plantations over 50 years old reducing area-scaled and yield-scaled carbon footprint by 55.18%-56.94% and 29.62%-53.60%, respectively, compared with younger counterparts. The dominant emission sources were direct and indirect N2O emissions from synthetic fertilizer application, collectively contributing 87.72% of total emissions. While pesticide use, fuel consumption, irrigation electricity, and labor inputs exhibited minor contributions, irrigation electricity usage and plantation area emerged as critical control factors in the circumTaihu low mountain and hilly tea region, and Ningzhenyang hilly tea region, respectively. Restructuring fertilization regimes and adopting low-carbon tea cultivation practices could collectively mitigate agricultural GHG emissions throughout Jiangsu Province. Mitigation priorities should prioritize the implementation of green production training programs to promote sustainable practices, focusing on optimizing fertilization strategies through soil testing-based formulae and integrated water-fertilizer management systems tailored for teaspecific nutrient delivery. |
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