College of Geography and Environment, Shandong Normal University, Jinan 250358, China.
Collaborative Innovation Center of Human-Nature and Green Development, Universities of Shandong, Jinan 250358, China.
Int J Environ Res Public Health. 2022 Jul 22;19(15):8910. doi: 10.3390/ijerph19158910.
Human activities and land transformation are important factors in the growth of carbon emissions. In recent years, construction land for urban use in China has expanded rapidly. At the same time, carbon emissions in China are among the highest in the world. However, little is known about the relationship between the two factors. This study seeks to estimate the carbon emissions and carbon sequestrations of various types of land based on the land cover data of 137 county-level administrative regions in Shandong Province, China, from 2000 to 2020.The study estimated the carbon emissions for energy consumption using energy consumption data and night-time light images, hence, net carbon emissions. The Tapio decoupling coefficient was used to analyze the decoupling between the net carbon emissions and construction land, and where the model for the decoupling effort was constructed to explore the driving factors of decoupling. The results showed that net carbon emissions in Shandong Province continued to increase, and the areas with high carbon emissions were concentrated primarily in specific districts of the province. The relationship between net carbon emissions and construction land evolved from an expansive negative decoupling type to a strong negative decoupling type. Spatially, most areas in the province featured an expansive negative decoupling, but the areas with a strong negative decoupling have gradually increased. The intensive rate of land use and efficiencies in technological innovation have restrained carbon emissions, and they have contributed to an ideal decoupling situation. Although the intensity of carbon emission and the size of the population have restrained carbon emissions, efforts towards decoupling have faded. The degree of land use has facilitated carbon emissions, and in recent years, efforts have been made to achieve an ideal decoupling. The method of estimation of net carbon emissions devised in this research can lend itself to studies on other regions, and the conclusions provide a reference for China, going forward, to balance urbanization and carbon emissions.
人类活动和土地转化是碳排放增长的重要因素。近年来,中国城市建设用地迅速扩张。与此同时,中国的碳排放也是世界上最高的之一。然而,人们对这两个因素之间的关系知之甚少。本研究旨在根据 2000 年至 2020 年中国山东省 137 个县级行政区域的土地覆盖数据,估算各种土地类型的碳排放和碳储量。本研究利用能源消耗数据和夜间灯光图像估算能源消耗产生的碳排放,从而得出净碳排放。采用 Tapio 脱钩系数分析净碳排放与建设用地之间的脱钩关系,并构建脱钩努力模型,探讨脱钩的驱动因素。结果表明,山东省的净碳排放持续增加,高碳排放区主要集中在该省的特定地区。净碳排放与建设用地之间的关系从扩张负脱钩类型演变为强负脱钩类型。从空间上看,全省大部分地区表现出扩张负脱钩,但强负脱钩的地区逐渐增加。土地利用强度和技术创新效率抑制了碳排放,促进了理想的脱钩局面。尽管碳排放量和人口规模的强度抑制了碳排放,但脱钩的努力已经减弱。土地利用程度促进了碳排放,近年来,努力实现了理想的脱钩。本研究中设计的净碳排放估算方法可应用于其他地区的研究,结论为中国未来平衡城市化和碳排放提供了参考。