中国农业科学 ›› 2026, Vol. 59 ›› Issue (12): 2686-2696.doi: 10.3864/j.issn.0578-1752.2026.12.011

• 土壤肥料·节水灌溉·农业生态环境 • 上一篇    下一篇

东北地区近30年农资投入驱动的碳排放时空格局演化特征

王思翔(), 刘亚龙, 王萍(), 汪景宽   

  1. 沈阳农业大学土地与环境学院/土肥高效利用国家工程中心, 沈阳 110866
  • 收稿日期:2025-07-01 接受日期:2025-09-08 出版日期:2026-06-16 发布日期:2026-06-16
  • 通信作者:
    王萍,E-mail:
  • 联系方式: 王思翔,E-mail:1114380227@qq.com。
  • 基金资助:
    国家重点研发计划(2023YFD1501200); 国家重点研发计划(2022YFD1500800); 国家重点研发计划(2024YFD1501800)

Spatiotemporal Evolution of Agricultural Inputs-Driven Carbon Emissions in Northeast China over the Past 30 Years

WANG SiXiang(), LIU YaLong, WANG Ping(), WANG JingKuan   

  1. College of Land and Environment, Shenyang Agricultural University/National Engineering Research Center for Efficient Utilization of Soil and Fertilizer Resources, Shenyang 110866
  • Received:2025-07-01 Accepted:2025-09-08 Published:2026-06-16 Online:2026-06-16

摘要:

【目的】东北作为我国重要的粮食主产区,在国家粮食安全保障中起着至关重要的作用。然而,东北地区存在着粮食生产过程投入过高,进而显著影响农业生产碳排放。本研究旨在探明不同农业生产过程农资投入碳排放的差异,促进该地区低碳农业的高效发展。【方法】基于1991—2020年东北地区主要农作物的农资投入量、产量和播种面积等一系列统计数据,以农作物整个生产周期为研究界限,利用碳排放系数法、地理探测器、空间自相关检验、标准差椭圆分析等方法分析粮食生产投入碳排放的时间变化规律和空间分布特征,最后做出相关的对策分析。【结果】(1)近30年东北地区农资投入碳排放整体呈增加趋势,呈中部高(沈阳-长春-哈尔滨一线)四周低的空间分布特征,年均碳排放3820万t。2020年东北地区各省份农资投入碳排放量由大到小依次为黑龙江省(1 950万t)、吉林省(1 091万t)、辽宁省(1 011万t)、内蒙古东五盟地区(919万t)。(2)东北地区单位播种面积的农资投入碳排放(Ga)和单位产量的农资投入碳排放(Gy)均呈东高(辽宁省东部、吉林省东部)西低(内蒙古东五盟、黑龙江省西部)的分布特征。Ga从1991年的1.37 kg CO2eq·hm-2上升到2020年的1.67 kg CO2eq·hm-2,增长了21.9%,而Gy从1991年的0.36 t CO2eq·t-1下降到2020年的0.32 t CO2eq·t-1,降幅为11.1%。(3)东北地区农作物农资投入碳排放重心整体呈现向长春西北方向迁移趋势。【结论】近30年东北地区农资投入碳排放呈上升趋势,但整体向西北迁移;农作物农资投入Ga随时间持续增加,而Gy不断下降,但均呈东高西低的空间分布特征。未来需进一步加强对农资投入的智慧网络管控,提升农机的能源利用效率和推广智慧农机,创新各省市差异化耕作制度,从而推进农业领域的碳达峰与碳中和。

关键词: 东北地区, 农资投入, 农业生产, 碳排放, 空间分布

Abstract:

【Objective】Northeast China serves as a crucial grain production base in the country and plays a vital role in national food security. However, the excessive input in grain production processes significantly affects agricultural carbon emissions in this region. Promptly elucidating the disparities in carbon emissions from agricultural inputs across different production processes is therefore imperative for advancing efficient low-carbon agriculture in Northeast China.【Method】Based on a series of statistical data such as agricultural input, output and sown area of major crops in Northeast China from 1991 to 2020, this study took the entire production cycle of crops as the research boundary, and uses methods, such as carbon emission coefficient method, geographical detector, spatial autocorrelation test and standard deviation ellipse analysis, to analyze the temporal variation law and spatial distribution characteristics of carbon emissions from grain production input, and finally made relevant countermeasure analysis.【Result】(1) In the past 30 years, the carbon emissions from agricultural input in Northeast China have shown an overall increasing trend, with a spatial distribution characteristic of being high in the middle (Shenyang- Changchun-Harbin line) and low in the surrounding areas, with an average annual carbon emission of 38.2 million tons. In 2020, the carbon emissions from agricultural input in various provinces in Northeast China in descending order were: Heilongjiang Province (19.5 million tons), Jilin Province (10.91 million tons), Liaoning Province (10.11 million tons), and Eastern Inner Mongolia (9.19 million tons). (2) Both the carbon emissions from agricultural input per sown area (Ga) and the carbon emissions from agricultural input per output (Gy) in Northeast China showed a distribution characteristic of being high in the east (eastern Liaoning Province, eastern Jilin Province) and low in the west (Eastern Inner Mongolia, western Heilongjiang Province). Ga increased from 1.37 kg CO2eq·hm-2 in 1991 to 1.67 kg COeq·hm-2 in 2020, an increase of 21.9%, while Gy decreased from 0.36 t CO2eq·t-1 in 1991 to 0.32 t CO2eq·t-1 in 2020, a decrease of 11.1%. (3) The center of gravity of carbon emissions from agricultural input of crops in Northeast China showed an overall migration trend to the northwest of Changchun.【Conclusion】It was concluded that in the past 30 years, the carbon emissions from agricultural input in Northeast China have shown an upward trend, but the overall migration was to the northwest; the Ga of agricultural input of crops has continued to increase over time, while Gy has continued to decrease, but both showed a spatial distribution characteristic of being high in the east and low in the west. In the future, it was necessary to further strengthen the intelligent network management and control of agricultural input, improve the energy utilization efficiency of agricultural machinery, promote intelligent agricultural machinery, and innovate differentiated farming systems in various provinces and cities, so as to promote the carbon peak and carbon neutrality in the agricultural field.

Key words: Northeast China, agricultural inputs, agricultural production, carbon emission, spatial distribution