县域玉米生产系统产量-经济-碳排放协同优化措施

崔石磊; 易小燕; 任静

文章摘要

县域玉米生产系统产量-经济-碳排放协同优化措施

Synergistic optimization measures for yield-economy-carbon emission in county-level maize production systems

Received:May 27, 2025

DOI：10.13254/j.jare.2025.0494

中文关键词: 玉米;产量;碳排放;协同优化;LCA+DEA模型

英文关键词: maize;yield;carbon emission;synergistic optimization;LCA+DEA model

基金项目:中国农业科学院青年创新专项（Y2025QC10）；中国农业科学院科技创新工程项目（CAAS-ZDRW202419）；国家社会科学基金重点项目（24AZD023）

Author Name	Affiliation	E-mail
CUI Shilei	State Key Laboratory of Efficient Utilization of Arable Land in China/Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China
YI Xiaoyan	State Key Laboratory of Efficient Utilization of Arable Land in China/Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China
REN Jing	State Key Laboratory of Efficient Utilization of Arable Land in China/Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China	renjing@caas.cn

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中文摘要:

为明确县域玉米生产系统现状，制定产量-经济-碳排放协同优化管理措施和实施方案，本研究基于农户调查数据，运用生命周期评价方法（LCA）量化玉米生产碳足迹，并结合玉米生产系统的投入和产出，采用数据包络分析方法（DEA）剖析县域玉米生产系统产量-经济-碳排放的理论优化潜力。结果表明：玉米生产系统氮肥、磷肥、钾肥、农药、柴油、种子投入量分别为 279.2、127.3、115.1、6.5、80.3、31.9 kg·hm^-2；耗电244.3 kWh·hm^-2,产量、收益和碳足迹分别为7 784.7 kg·hm^-2、9 306.6元·hm^-2和5.9 t CO₂-eq·hm^-2。通过制定氮肥、磷肥、钾肥、农药和种子用量分别为248.1、96.9、91.0、5.6 kg·hm^-2和30.3 kg·hm^-2的管理措施和实施方案，可以实现玉米生产系统投入减少5.1%~27.5%；经济效益和产量分别增加42.1%和19.9%，碳足迹减少18.3%。因此，围绕肥料、农药、播种制定管理措施和实施方案，可实现县域玉米生产系统产量-效益-碳减排的协同优化，有利于农业向可持续生产转型。

英文摘要:

To clarify the current status of the county′s maize production system and to develop synergistic optimization strategies for yieldeconomic-carbon emissions, this study quantified the carbon footprint of maize production using life cycle assessment（LCA）based on farm household survey data. It also used data envelopment analysis（DEA）to assess the theoretical optimization potential of yield-economycarbon emissions within the county′s maize production system by integrating input and output data. The results showed that the inputs of N, P₂O₅, K₂O, pesticides, diesel, and seeds were 279.2, 127.3, 115.1, 6.5, 80.3, and 31.9 kg·hm^-2, respectively. The electricity input was 244.3 kWh·hm^-2. The corresponding outputs included yield, net economic profit, and carbon footprint were 7 784.7 kg·hm^-2, 9 306.6 yuan·hm^-2, and 5.9 t CO₂-eq·hm^-2, respectively. By implementing management practices and intervention plans that set the application rates of N, P₂O₅, K₂O, pesticides, and seeds at 248.1, 96.9, 91.0, 5.6, and 30.3 kg · hm^-2, respectively, the maize production system achieved input reductions ranging from 5.1%-27.5%. At the same time, net economic profit and yields increased by 42.1% and 19.9%, respectively, while the carbon footprint was reduced by 18.3%. Therefore, the development of fertilizer, pesticide, and seeding management measures and implementation plans can achieve synergistic optimization of yield-efficiency-carbon emission reduction in the county ′ s maize production system, which is conducive to the transition of agriculture to sustainable production.

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