摘要
为区域低碳农业和生态振兴提供数据支持,助力我国“双碳”目标的实现,以黑龙江省为例探究区域农田生态系统碳动态特征,基于2000—2020年黑龙江省13个地级市的农业生产投入等数据,构建农田生态系统碳足迹模型,分析黑龙江省农田生态系统碳足迹时空变化,并利用ArcGIS分析农田生态系统碳排放的空间相关性。结果表明:黑龙江省农田生态系统碳吸收和碳排放呈现上升趋势,碳足迹呈现波动变化特征,空间上均为“西南高、东北低”的分布格局。综上,黑龙江省农田生态系统表现为碳生态赤字,发挥碳源功能,2010年起碳生态盈亏呈现增长趋势,表明碳源功能逐渐减弱。由此有针对提出加强田间管理、实现农田固碳减排的策略建议。
The aims of this study were to clarify the carbon dynamics of farmland ecosystem,provide data support for the realization of low-carbon agriculture and ecological revitalization in Heilongjiang and help achieve carbon peak and neutrality targets in China.Based on the agricultural production input data of 13 cities in Heilongjiang from 2000 to 2020,a carbon footprint model of farmland ecosystem was constructed.The spatial and temporal changes of carbon footprint of farmland ecosystem were analyzed,and the spatial correlation of carbon emissions of farmland ecosystem were analyzed by ArcGIS.The results showed that:The carbon absorption and carbon emissions of farmland ecosystem presented an increasing trend.The carbon footprint displayed fluctuation characteristics,which was spatially“high in the southwest and low in the northeast”.The farmland ecosystem in Heilongjiang showed a carbon ecological deficit and played a carbon source function.The carbon ecological surplus showed an increasing trend since 2010,the carbon source function continued to be weak.Therefore,strategies and suggestions for strengthening field management and realizing carbon sequestration and emission reduction in farmland were proposed in a targeted manner.
作者
宁静
杨楠
杜国明
孙天成
胡明均
王蕾
NING Jing;YANG Nan;DU Guoming;SUN Tiancheng;HU Mingjun;WANG Lei(School of Public Administration and Law,Northeast Agricultural University,Harbin 150030,China;School of Landscape Architecture,Northeast Forestry University,Harbin 150040,China)
出处
《中国农业大学学报》
CAS
CSCD
北大核心
2023年第6期98-112,共15页
Journal of China Agricultural University
基金
国家自然科学基金项目(41971217,42171246)
国家重点研发计划(2021YFD1500101)。
关键词
碳足迹
碳吸收
碳排放
农田生态系统
时空演变
黑龙江省
carbon footprint
carbon emissions
carbon absorption
farmland ecosystem
spatial-temporal evolution
Heilongjiang