School of Geography and Ocean Science, Nanjing University, Nanjing, 210023, Jiangsu Province, China.
Environ Sci Pollut Res Int. 2022 Jun;29(29):44523-44539. doi: 10.1007/s11356-022-19007-2. Epub 2022 Feb 8.
Land carbon emissions are primarily determined by land use type, and these emissions could be transferred during interprovincial trade activities. This study took Jiangsu in China as a case, assigned all the energy-related carbon emissions to land, and analyzed the transferred land use carbon emissions through the application of a tele-coupling framework. Finally, the physical spatial distribution of transferred land use carbon emissions within Jiangsu at high resolution was simulated. China and Jiangsu emitted 2.27 × 10 t and 1.43 × 10 t of carbon in 2012, respectively, with industrial and mining land being the biggest emission source, generating more than 70% of their total emissions. Overall, Jiangsu's net carbon emissions transferred to other provinces was 2.41 × 10 t in urban land and 9.03 × 10 t in industrial and mining land, and these carbon emissions were mainly transferred to Hebei, Shandong, and Inner Mongolia. Land utilization intensity and economic development influenced the carbon emission transfer to some extent. Other provinces also transferred a large amount of carbon emissions to Jiangsu, of which 2.57 × 10 t was in urban land and 3.18 × 10 t was in industrial and mining land. Our simulation showed that the emissions in both land use types exhibited a south-north difference within Jiangsu; more specifically, urban land carbon emissions were mainly concentrated in core urban areas, especially in Suzhou, Wuxi, and Nanjing, whereas industrial and mining land carbon emissions were mostly distributed in the periphery of core urban areas and along the Yangtze River. To balance economic development and environment protection, the government must limit the expansion of construction land (especially industrial and mining land), and developed regions should implement various types of ecological compensation measures to help less developed regions reduce carbon embodied in trade activities.
土地碳排放主要由土地利用类型决定，这些排放可以在省际贸易活动中转移。本研究以中国江苏省为例，将所有与能源相关的碳排放分配到土地上，并通过应用遥耦合框架分析了转移的土地利用碳排放。最后，以高分辨率模拟了江苏省内转移的土地利用碳排放的物质空间分布。2012 年，中国和江苏省分别排放了 2.27×10 t 和 1.43×10 t 的碳，其中工矿用地是最大的排放源，其排放量超过了总排放量的 70%。总体而言，江苏省向其他省份净转移的城市土地和工矿土地的碳排放量分别为 2.41×10 t 和 9.03×10 t，这些碳排放主要转移到了河北、山东和内蒙古。土地利用强度和经济发展在一定程度上影响了碳排放的转移。其他省份也向江苏省转移了大量的碳排放，其中城市土地和工矿土地的碳排放量分别为 2.57×10 t 和 3.18×10 t。我们的模拟结果表明，江苏省内这两种土地利用类型的排放量都呈现出南北差异；具体而言，城市土地的碳排放主要集中在核心城市地区，特别是苏州、无锡和南京，而工矿土地的碳排放主要分布在核心城市地区的外围和长江沿线。为了平衡经济发展和环境保护，政府必须限制建设用地（特别是工矿用地）的扩张，发达地区应实施各种类型的生态补偿措施，帮助欠发达地区减少贸易活动中的碳排放量。
