摘要
为明确河南省农田生态系统碳源/汇分布特征及影响因素,利用2010—2020年河南省农作物播种面积、产量等数据估算农田生态系统碳源/碳汇量,分析其时空特征,并采用对数平均迪式指数法(LMDI加法分解模型)分别对碳源/汇的影响因素进行分解.结果表明,2010—2020年,河南省农田生态系统碳排放呈先增后降的趋势,田间氮肥施用所造成的碳排放贡献率最大,达74.39%~76.35%.各地市农田生态系统的碳排放量、增幅及单位播种面积碳排放强度均存在显著差异.河南省农田生态系统碳吸收呈上升趋势,净增6.0×10^(7)t,增幅为22.93%.各地市碳吸收量及单位播种面积碳吸收强度均呈增长态势,河南省农田生态系统碳汇能力不断增强,且碳吸收量大于碳排放量.在碳源影响因素分解中,农业能源利用水平和农业低碳技术水平的提高、劳动力规模的控制可有效减少碳排放;在碳汇影响因素分解中,碳汇系数、碳汇技术水平与碳吸收量呈正效应,且小麦碳汇能力最强.建议通过提高能源利用水平和低碳技术水平、调整农作物种植结构、发展循环农业模式等措施,实现农田生态系统降碳增汇.
In order to understand the carbon source(C-source)and sink(C-sink)of farmland ecosystem in Henan Province,this study analyzed the amount of C-source,C-sink and their spatial-temporal characteristics from 2010 to 2020 based on sown area,yield etc.In the meantime,the influence factors of C-source and C-sink were decomposed by employing a Logarithmic Mean Divisia Index(LMDI)additive decomposition model.The results demonstrates that,from 2010 to 2020,for C-source,it presented a tendency of increase first and then decrease,and 74.39%~76.35%of C-source was contributed via nitrogen fertilization.Different districts presented significant differences in their C-source amount,increase rate and emission intensity per unit sown area.For C-sink,it showed a rising trend by 22.93%,with a net increase of 6.0×10^(7)t.All districts presented increase tendencies in both amount of C-sink and absorption intensity per unit sown area.The capacity of C-sink kept increasing,and the amount of C-sink was larger than the amount of C-source.The LMDI analysis shows that,for the amount of C-source,it could be effectively decreased by improving the utilization of agricultural energy,promoting the application of low-carbon technologies in agriculture,and reducing the size of agricultural labor force.For the amount of C-sink,it had a positive correlation with the coefficient of C-sink and the level of C-sink technology.Also,among all crops,the wheat poses the strongest capacity of C-sink.The findings in this study suggest that,to decrease the C-source and increase the C-sink,measures could be taken by promoting the energy utilization level,enhancing low-carbon technologies,optimizing the crop planting structure,developing circular agriculture modes.
作者
王莉
刘莹莹
张亚慧
董素涵
WANG Li;LIU Yingying;ZHANG Yahui;DONG Suhan(School of Ecology and Environment,Research Centre of Engineering and Technology for Synergetic Control of Environmental Pollution and Carbon Emissions of Henan Province,Zhengzhou University,Zhengzhou 450001)
出处
《环境科学学报》
CAS
CSCD
北大核心
2022年第12期410-422,共13页
Acta Scientiae Circumstantiae
基金
国家水体污染控制与治理科技重大专项(No.2015ZX07204-002-05)
河南省生态碳汇能力提升方法路径及措施研究项目(No.20210717A)。
关键词
碳源
碳汇
时空分布
LMDI模型
影响因素
农田生态系统
河南
carbon source
carbon sink
spatial and temporal distribution
Logarithmic mean divisia index(LMDI)
influence factors
farmland ecosystem
Henan Province
