水土保持学报2024，Vol.38Issue(4)：198-208,11.DOI:10.13870/j.cnki.stbcxb.2024.04.016
中国农业净碳汇的时空动态及其驱动因素
Temporal and Spatial Dynamics and Drivers of China's Agriculture Net Carbon Sink
摘要
Abstract
[Objective]Clarifying the temporal and spatial dynamics and drivers of China's agriculture net carbon sink provides a theoretical basis for promoting low-carbon development in the agricultural.[Methods]Based on the 19 types of the major carbon sources form four including of rice cultivation,agricultural land use,agricultural materials,and livestock breeding,and 7 types of carbon sinks,this study calculated the agricultural net carbon sink in China and its 31 provinces and cities(excluding Hong Kong,Macau,and Taiwan)from 2002 to 2022,using Arc GIS statistical software analyze temporal and spatial dynamics of agricultural net carbon sink,and using the LMDI model to analyze the drivers agricultural net carbon sink.[Results]The primary source of carbon emissions from agriculture had shifted from enteric fermentation and manure management in the livestock sector to agricultural materials in the plantation sector.Carbon sinks were dominated by the contribution of rice and maize.Overall,there has been fluctuating upward trends in both levels of agricultural net carbon sinks and carbon sinks.There was a spatial distribution pattern with high levels observed in northeast China while low levels were found in western regions.Furthermore,there was a significant positive correlation between net agricultural carbon sinks which exhibited features of high-high or low-low aggregation.Moreover,there was an increasing trend in spatial aggregation.Agricultural net carbon sink could be restrained by factors such as the intensity of the agricultural net carbon sink,the structure of the agricultural industry and the size of the rural population;however,it can be enhanced by economic development.[Conclusion]China's agriculture showed a positive trend regarding net carbon sinks.Optimizing its industry structure along with improving production methods are crucial for promoting low-carbon development and achieving a sustainable cycle.关键词
中国/农业净碳汇/时空动态/LMDI模型Key words
China/agriculture net carbon sink/temporal and spatial dynamics/LMDI model分类
资源环境引用本文复制引用
董晓龙,郑兰钦,连海峰,田碧莲,陈志勇..中国农业净碳汇的时空动态及其驱动因素[J].水土保持学报,2024,38(4):198-208,11.基金项目
国家自然科学基金项目(42202333) （42202333）
福建省自然科学基金项目(2022J01152) （2022J01152）
福建省省级科技创新重点项目(2021G02007) （2021G02007）
福建农林大学科技创新专项(CXZX2020107A) （CXZX2020107A）
