Research on the Temporal Characteristics and Trend Prediction of Agricultural Carbon Emissions——Analysis of 22 types of carbon source data in Heilongjiang Province based on three dimensions
Promoting low-carbon transformation in agriculture is of great significance for advancing green development in agriculture and supporting the construction of an agricultural powerhouse.Clarifying the temporal characteristics and trends of agricultural carbon emissions in China is beneficial for implementing green and low-carbon agricultural policies,providing a theoretical reference for achieving the"dual carbon"goals.Based on this,this article utilizes 22 types of carbon source data from three dimensions:agricultural inputs,the planting industry,and livestock and poultry breeding in Heilongjiang Province.It es-timates the agricultural carbon emissions,carbon sinks,and carbon emission intensity in Heilongjiang Province from 2001 to 2022.Moreover,it employs the STRIP AT extended model to predict the trend of agricultural carbon emissions in Hei-longjiang Province under different scenarios from 2023 to 2030.The results indicate that:(1)From 2001 to 2022,the overall a-gricultural carbon emissions in Heilongjiang Province exhibited three"inverted U-shaped"trends;(2)The agricultural sector has achieved a carbon ecological surplus,and the intensity of agricultural carbon emissions is displaying a downward trend;(3)In the scenario prediction results,the agricultural development model under low-carbon scenarios exhibits stronger carbon reduc-tion potential.In the future,we should continue to enhance the efficiency of agricultural inputs and utilization,strengthen in-novation in low-carbon agricultural technologies,cultivate and optimize carbon trading markets,improve the agricultural car-bon finance system,and expedite the green and low-carbon transformation of agriculture.
agricultural carbon emissionsagricultural carbon emissions reductiongreen low-carbon development
NETL
NSTL
万方数据
