{"title":"[中国新疆“双碳”目标下主要作物生产的碳足迹]。","authors":"Lu Yang, Kai-di Yue, Li-Jie Zhang","doi":"10.13287/j.1001-9332.202503.028","DOIUrl":null,"url":null,"abstract":"<p><p>As the main cotton-producing area and an important production base of food in China, Xinjiang is facing the dual pressures of ensuring national food security and achieving low-carbon agriculture. A comprehensive accounting of carbon footprint of major crops can contribute to decision-making in agricultural structure adjustment and the environmental management in Xinjiang from the perspective of carbon emission reduction. Based on data of the planting area, yield, and agricultural input of wheat, maize, and cotton in Xinjiang from 2005 to 2021, we used the life cycle assessment method to calculate the production carbon footprint of the aforementioned three major crops and used the grey relational analysis to analyze their influencing factors. Results showed that during 2005-2021, the planting areas of wheat and maize varied with the planting area of cotton. The average annual carbon footprint per unit area of wheat, maize, and cotton were 2.21, 2.67, and 3.61 t CE·hm<sup>-2</sup>, and the average annual carbon footprint per unit yield were 0.41, 0.35, and 1.91 t CE·t<sup>-1</sup> respectively. The carbon ecological efficiency of the three crops was in an order of wheat (10.99 t CE·t CE<sup>-1</sup>) > maize (9.68 t CE·t CE<sup>-1</sup>) > cotton (2.96 t CE·t CE<sup>-1</sup>), the carbon production efficiency was maize (2.88 t·t CE<sup>-1</sup>) > wheat (2.48 t·t CE<sup>-1</sup>) > cotton (0.53 t·t CE<sup>-1</sup>), and the carbon economic efficiency was cotton (7148.74×10<sup>3</sup> yuan·t CE<sup>-1</sup>) > maize (6094.32×10<sup>3</sup> yuan·t CE<sup>-1</sup>) > wheat (5904.23×10<sup>3</sup> yuan·t CE<sup>-1</sup>). As for carbon input structure, farmland N<sub>2</sub>O emission and chemical fertilizer input were the main sources of the production carbon footprint. Total mechanical power, crop planting area, effective irrigation area, agricultural film usage, compound fertilizer and nitrogen fertilizer input were the main driving factors. Based on our analysis of carbon footprint of wheat, maize, and cotton in Xinjiang in 2022 and 2023, we found that this area need to moderately adjust the planting structure in the future. At the same time, it should develop science and technology to improve the utilization efficiencies of chemical fertilizers, agricultural films, irrigation and mechanical operations to achieve the low-carbon production of crops while ensuring the national food security strategy.</p>","PeriodicalId":35942,"journal":{"name":"应用生态学报","volume":"36 4","pages":"1147-1158"},"PeriodicalIF":0.0000,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"[Carbon footprint of major crop production under the goal of 'double carbon' in Xinjiang, China].\",\"authors\":\"Lu Yang, Kai-di Yue, Li-Jie Zhang\",\"doi\":\"10.13287/j.1001-9332.202503.028\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>As the main cotton-producing area and an important production base of food in China, Xinjiang is facing the dual pressures of ensuring national food security and achieving low-carbon agriculture. A comprehensive accounting of carbon footprint of major crops can contribute to decision-making in agricultural structure adjustment and the environmental management in Xinjiang from the perspective of carbon emission reduction. Based on data of the planting area, yield, and agricultural input of wheat, maize, and cotton in Xinjiang from 2005 to 2021, we used the life cycle assessment method to calculate the production carbon footprint of the aforementioned three major crops and used the grey relational analysis to analyze their influencing factors. Results showed that during 2005-2021, the planting areas of wheat and maize varied with the planting area of cotton. The average annual carbon footprint per unit area of wheat, maize, and cotton were 2.21, 2.67, and 3.61 t CE·hm<sup>-2</sup>, and the average annual carbon footprint per unit yield were 0.41, 0.35, and 1.91 t CE·t<sup>-1</sup> respectively. The carbon ecological efficiency of the three crops was in an order of wheat (10.99 t CE·t CE<sup>-1</sup>) > maize (9.68 t CE·t CE<sup>-1</sup>) > cotton (2.96 t CE·t CE<sup>-1</sup>), the carbon production efficiency was maize (2.88 t·t CE<sup>-1</sup>) > wheat (2.48 t·t CE<sup>-1</sup>) > cotton (0.53 t·t CE<sup>-1</sup>), and the carbon economic efficiency was cotton (7148.74×10<sup>3</sup> yuan·t CE<sup>-1</sup>) > maize (6094.32×10<sup>3</sup> yuan·t CE<sup>-1</sup>) > wheat (5904.23×10<sup>3</sup> yuan·t CE<sup>-1</sup>). As for carbon input structure, farmland N<sub>2</sub>O emission and chemical fertilizer input were the main sources of the production carbon footprint. Total mechanical power, crop planting area, effective irrigation area, agricultural film usage, compound fertilizer and nitrogen fertilizer input were the main driving factors. Based on our analysis of carbon footprint of wheat, maize, and cotton in Xinjiang in 2022 and 2023, we found that this area need to moderately adjust the planting structure in the future. At the same time, it should develop science and technology to improve the utilization efficiencies of chemical fertilizers, agricultural films, irrigation and mechanical operations to achieve the low-carbon production of crops while ensuring the national food security strategy.</p>\",\"PeriodicalId\":35942,\"journal\":{\"name\":\"应用生态学报\",\"volume\":\"36 4\",\"pages\":\"1147-1158\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"应用生态学报\",\"FirstCategoryId\":\"1087\",\"ListUrlMain\":\"https://doi.org/10.13287/j.1001-9332.202503.028\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Environmental Science\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"应用生态学报","FirstCategoryId":"1087","ListUrlMain":"https://doi.org/10.13287/j.1001-9332.202503.028","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Environmental Science","Score":null,"Total":0}
引用次数: 0
摘要
新疆作为全国棉花主产区和重要的粮食生产基地,面临着保障国家粮食安全和实现低碳农业的双重压力。从碳减排的角度对主要作物碳足迹进行综合核算,有助于新疆农业结构调整和环境管理决策。基于2005 - 2021年新疆小麦、玉米和棉花的种植面积、产量和农业投入数据,采用生命周期评价方法计算上述三种主要作物的生产碳足迹,并采用灰色关联分析分析其影响因素。结果表明:2005-2021年,小麦和玉米的种植面积随棉花种植面积的变化而变化;小麦、玉米和棉花单位面积年平均碳足迹分别为2.21、2.67和3.61 t CE·hm-2,单产年平均碳足迹分别为0.41、0.35和1.91 t CE·t-1。3种作物的碳生态效率依次为:小麦(10.99 t CE·t CE-1)、玉米(9.68 t CE·t CE-1)、棉花(2.96 t CE·t CE-1)、玉米(2.88 t CE·t CE-1)、小麦(2.48 t CE-1)、棉花(0.53 t CE-1)、棉花(7148.74×103元·t CE-1)、玉米(6094.32×103元·t CE-1)、小麦(5904.23×103元·t CE-1)。在碳投入结构上,农田N2O排放和化肥投入是生产碳足迹的主要来源。总机械功率、作物种植面积、有效灌溉面积、农膜使用量、复合肥和氮肥投入是主要驱动因素。通过对2022年和2023年新疆小麦、玉米和棉花碳足迹的分析,发现该地区未来需要适度调整种植结构。同时,发展科技,提高化肥、农膜、灌溉和机械作业的利用效率,在确保国家粮食安全战略的同时,实现作物的低碳生产。
[Carbon footprint of major crop production under the goal of 'double carbon' in Xinjiang, China].
As the main cotton-producing area and an important production base of food in China, Xinjiang is facing the dual pressures of ensuring national food security and achieving low-carbon agriculture. A comprehensive accounting of carbon footprint of major crops can contribute to decision-making in agricultural structure adjustment and the environmental management in Xinjiang from the perspective of carbon emission reduction. Based on data of the planting area, yield, and agricultural input of wheat, maize, and cotton in Xinjiang from 2005 to 2021, we used the life cycle assessment method to calculate the production carbon footprint of the aforementioned three major crops and used the grey relational analysis to analyze their influencing factors. Results showed that during 2005-2021, the planting areas of wheat and maize varied with the planting area of cotton. The average annual carbon footprint per unit area of wheat, maize, and cotton were 2.21, 2.67, and 3.61 t CE·hm-2, and the average annual carbon footprint per unit yield were 0.41, 0.35, and 1.91 t CE·t-1 respectively. The carbon ecological efficiency of the three crops was in an order of wheat (10.99 t CE·t CE-1) > maize (9.68 t CE·t CE-1) > cotton (2.96 t CE·t CE-1), the carbon production efficiency was maize (2.88 t·t CE-1) > wheat (2.48 t·t CE-1) > cotton (0.53 t·t CE-1), and the carbon economic efficiency was cotton (7148.74×103 yuan·t CE-1) > maize (6094.32×103 yuan·t CE-1) > wheat (5904.23×103 yuan·t CE-1). As for carbon input structure, farmland N2O emission and chemical fertilizer input were the main sources of the production carbon footprint. Total mechanical power, crop planting area, effective irrigation area, agricultural film usage, compound fertilizer and nitrogen fertilizer input were the main driving factors. Based on our analysis of carbon footprint of wheat, maize, and cotton in Xinjiang in 2022 and 2023, we found that this area need to moderately adjust the planting structure in the future. At the same time, it should develop science and technology to improve the utilization efficiencies of chemical fertilizers, agricultural films, irrigation and mechanical operations to achieve the low-carbon production of crops while ensuring the national food security strategy.