摘要
为评估山东省种植业碳排放及碳汇特征,基于排放因子法构建了山东省种植业碳排放量、碳汇量核算体系,利用基尼系数评价了16地市区域差异,构建耦合模型研究了净碳汇与种植业产值之间的关系,利用核密度函数分析了净碳汇空间差异动态演进过程。结果表明:2000~2020年山东省种植业碳排放量先上升后下降,碳汇量、净碳汇、净碳汇强度均波动上升;各地市种植业碳排放量、碳汇量及净碳汇呈现一定的区域差异,平均碳排放生态承载力处于“相对平均”状态;净碳汇与产值耦合效果一般;净碳汇由两极分化演变为单极化,地区间差异有扩大趋势。根据结论提出种植业碳减排增汇建议,对山东省早日实现“双碳”目标起到积极作用。
In order to evaluate the characteristics of carbon emission and carbon sink of planting industry in Shandong Province,based on the emission factor method,this paper constructed a carbon emission and carbon sink accounting system of planting industry,evaluated the regional differences of 16 cities and regions by the Gini coefficient,a coupling model was constructed to study the relationship between net carbon sink and the output value of planting industry,and the dynamic evolution process of spatial differences of net carbon sink were analyzed by Kernel density function.The results showed that the carbon emissions of planting industry from 2000 to 2020 increased first and then decreased,carbon sink,net carbon sink and net carbon sink intensity showed fluctuating upward trend as a whole.The Carbon emissions,carbon sink and net carbon sink presented a certain degree of regional differences in Shandong province,and the average ecological carrying capacity of Carbon emissionwas in the relative average'state.The coupling effect between net carbon sink and planting industry output was general.The net carbon sink in Shandong province evolved from polarization to unipolarization,and regional diference showed a trend of expansion with time.According to the conclusion,suggestions on carbon emission reduction and carbon sink increase in planting industry were put forward for the realization of the dual-carbon goal in Shandong Province as soon as possible.
作者
刘杨
代雪静
杨晓钰
郭萌萌
王兆军
LIU Yang;DAI Xue-jing;YANG Xiao-yu;GUO Meng-meng;WANG Zhao-jun(Jinan Eco-environmental Monitoring Center of Shandong Province,Jinan 250101,China)
出处
《四川环境》
2023年第5期317-326,共10页
Sichuan Environment
关键词
净碳汇
时空差异
耦合
动态演进
Net carbon sink
spatial-temporal characteristic
coupling
dynamic evolution
