中国农业气象 ›› 2025, Vol. 46 ›› Issue (7): 907-917.doi: 10.3969/j.issn.1000-6362.2025.07.001

• 农业气候资源与气候变化栏目 •    下一篇

2014−2022年盘锦水稻农地利用碳足迹的变化及影响因素

申祺,李蔚然,于小彭,李浩,王紫,纪薇薇,于亚辉   

  1. 辽宁省盐碱地利用研究所,盘锦124010
  • 收稿日期:2024-07-30 出版日期:2025-07-20 发布日期:2025-07-20
  • 作者简介:申祺,E-mail:2867749935@qq.com
  • 基金资助:
    辽宁省农业重大专项项目(2022JH1/10200003)

Changes and Influence Factors of Carbon Footprint of Rice Agricultural Land Use in Panjin from 2014 to 2022

SHEN Qi, LI Wei-ran, YU Xiao-peng, LI Hao, WANG Zi, JI Wei-wei, YU Ya-hui   

  1. Liaoning Institute of Saline-Alkali Land Utilization, Panjin 124010, China
  • Received:2024-07-30 Online:2025-07-20 Published:2025-07-20

摘要:

基于2014−2022年盘锦市4个区县水稻产量、播种面积和农资投入数据,解析该区水稻农地利用碳足迹和影响因素,为实现水稻绿色低碳发展提供参考依据。结果表明:2014−2022年盘山县水稻单位播种面积碳吸收量总体呈先减少后增加趋势(P<0.01),年际波动大,双台子区、兴隆台区和大洼区水稻单位播种面积碳吸收量年际波动及变化均较小。不同地区水稻单位播种面积碳吸收量空间差异不显著。2014−2022年盘锦市各地区水稻单位播种面积碳排放量和农地利用碳足迹年际波动变化较小,但空间差异极显著(P<0.01)。大洼区(0.50×104hm2)和盘山县(0.53×104hm2)水稻农地利用碳足迹均值高于双台子区(0.03×104hm2)和兴隆台区(0.04×104hm2)。氮肥、农业机械和农药投入是影响盘锦市水稻农地利用碳足迹的重要因素,平均占比分别为23.20%、12.05%和20.82%。随着低碳水稻生产技术推进,减量增效、提高机械化效率、政策杠杆等多种途径合力可降低盘锦地区水稻生产中的碳排放。

关键词: 碳足迹, 碳吸收, 碳排放, 影响因素

Abstract:

To calculate the carbon footprint of rice production could help promote coordinated efforts to increase agricultural yield and efficiency, as well as green and low−carbon development. Based on the data of yield, sowing area and agriculture production input of rice in Panjin region (Shuangtaizi district, Xinglongtai district, Dawa district and Panshan county) from 2014 to 2022, carbon footprint of rice agricultural land use and influencing factors were estimated. These results could provide a reference base for achieving energy conservation and emission reduction in rice production and green low−carbon development. The results showed that the carbon sequestration per unit sown area of rice in Panshan from 2014 to 2022 showed a decreasing trend and then an increasing trend (P<0.01), with a large fluctuation from year to year. There was little change in carbon sequestration per unit sown area in Shuangtaizi district, Xinglongtai district, and Dawa district, and the differences were no significant at different regions. During the study, there were no significant in carbon emissions per unit sown area of rice, carbon footprint between Shuangtaizi district, Xinglongtai district, Dawa district and Panshan county from 2014 to 2022, but the differences were significant (P<0.01) at different regions. The average carbon footprint of rice agricultural land use showed that Dawa district (0.50×104ha) and Panshan county (0.53×104ha) were significantly higher than Shuangtaizi district (0.03×104ha) and Xinglongtai district (0.04×104ha). In the carbon footprint structure of rice agricultural land use, nitrogen fertilizers, agricultural machinery and pesticides accounted for 23.20%, 12.05% and 20.82% of the average carbon footprint. With the promotion of low−carbon rice production, various approaches such as reducing nitrogen fertilizer and pesticide fertilizer input and increasing utilization efficiency, mechanized operation efficiency, and policy leverage have combined to reduce carbon emissions from the rice production in Panjin. 

Key words: Carbon footprint, Carbon sequestration, Carbon emission, Influence factor