长三角地区生态农场碳排放特征与影响因素研究

Characteristics and influencing factors of carbon emissions of ecological farms in the Yangtze River Delta region

  • 摘要: 生态农场建设对于推进我国农业绿色发展和乡村生态振兴意义重大。基于长三角地区94家生态农场数据, 运用生命周期评价法核算了生态农场的碳排放量, 并分析了生态农场碳排放强度特征与影响因素。结果表明, 长三角地区生态农场碳排放强度为3 903.74 kg(CO2-eq)·hm−2, 碳排放主要来源为有机肥施用、水稻种植(CH4)和田间管理(N2O), 其占比分别为31.65%、23.01%和18.74%, 合计占比超过70%, 化肥投入来源碳排放占比较低, 为6.50%。省份间的碳排放强度存在明显差异, 江苏省碳排放强度最高, 其次是上海市和浙江省, 安徽省最低, 种植结构差异是长三角地区生态农场碳排放强度省份间差异的主要来源。在省份内部, 生态农场碳排放强度不均衡性明显, 浙江省不均衡性最高, 上海市不均衡性最低。生态农场碳排放强度受农场种植面积和水稻种植面积占比影响。鉴于此, 推动生态农场低碳化发展, 应继续保持有机肥为主的经营模式, 加强有机肥施用对化肥的替代, 优化种植结构, 降低水稻种植比例, 强化稻田水分管理, 精细田间管理, 提升N素利用率, 加强对生态农场经营主体培训, 降低生态农场碳排放强度区域内不均衡性。

     

    Abstract: The construction of ecological farms is of great significance in promoting the green development of agriculture and rural ecological revitalization in China. Based on data from 94 ecological farms in the Yangtze River Delta region, the carbon emissions of ecological farms were calculated using the life cycle assessment method, which mainly included carbon emissions from the extraction of raw materials for agricultural production used in planting, during the production process of agricultural inputs for planting, from field management during crop planting, and from transportation links. The characteristics and factors influencing the carbon emissions intensity of ecological farms were analyzed. The results showed that the carbon emissions intensity of ecological farms in the Yangtze River Delta region was 3 903.74 kg(CO2-eq)·hm−2, and the main sources were organic fertilizer use, rice planting (CH4), and field management (N2O), which accounted for 31.65%, 23.01%, and 18.74%, respectively, accounting for more than 70%; the carbon emissions from fertilizer input sources were relatively low, only 6.50%. There were distinct differences in carbon emissions intensity among the provinces. Jiangsu Province had the highest carbon emissions intensity 4 586.40 kg(CO2-eq)·hm−2, followed by Shanghai and Zhejiang provinces. Anhui Province had the lowest carbon emissions intensity 3 282.15 kg(CO2-eq)·hm−2, which was 28.43% lower than that of Jiangsu Province. Differences in planting structure were the main source of carbon emissions intensity in ecological farms in the Yangtze River Delta region. The Gini coefficient was used to measure the imbalance in carbon emissions intensity of ecological farms. The closer the Gini coefficient is to zero, the smaller the difference between individuals. Within provinces, an imbalance in the carbon emissions intensity of ecological farms was evident. Zhejiang Province had the highest imbalance with a Gini coefficient of 0.46, and Shanghai Province had the lowest imbalance with a Gini coefficient of 0.23. The imbalance in carbon emissions intensity of ecological farms in Zhejiang and Anhui provinces was higher than that of the general population, whereas the imbalance in carbon emissions intensity of ecological farms in Shanghai and Jiangsu Province was lower than that of the general population. Based on the regression analysis, the factors influencing carbon emissions intensity of ecological farms were analyzed, and the control variables included the characteristics of ecological farm managers, farmland characteristics, technology adoption, and quality control systems. The empirical results showed that the carbon emissions intensity of ecological farms was affected by the farmland planting scale and proportion of rice planting area. In view of this, to promote the low-carbon development of ecological farms, we should continue to maintain the operation mode based on organic fertilizers, strengthen the substitution of organic fertilizers for chemical fertilizers, optimize the planting structure, reduce the proportion of rice planting, strengthen the water management of rice fields, improve fine field management and reasonable fertilization, improve the utilization rate of nitrogen, and strengthen the training of ecological farm operators. It is vital to reduce the regional imbalance in the carbon emissions intensity of ecological farms and enhance the comprehensive effect on the economy and environment of ecological farms.

     

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