【摘要】 土地利用变化下的碳代谢过程研究对实现土地利用弹性规划和城市可持续发展具有重要意义。以厦漳泉地区为例，通过构建显性空间的土地碳代谢网络模型，定量测度碳排放、碳汇的特征以及潜在碳转移时空演化，揭示了碳转移的关键路径和重要的碳代谢分室。结果表明：城镇用地、工业及交通用地的扩张导致碳排放量增加，2000—2020年增长近7倍，碳汇量的减少则与林地和耕地面积的减少有关；碳代谢密度分布与土地利用空间演化特征相似，高负碳代谢密度的分布与工业及交通用地的扩张有关，20年间增长近4倍；耕地、工业及交通用地之间的转变是碳转移的关键路径，由此导致的负碳转移占贡献比的30%以上。土地利用弹性规划可通过改变关键的碳转移路径和调整关键分室实现减排优化。更多还原

【Abstract】 The study of carbon metabolism process under land use change is of great significance to the realization of land use flexible planning and urban sustainable development. Taking Xiamen-Zhangzhou-Quanzhou area as an example, by constructing a dominant spatial land carbon metabolism network model, the characteristics of carbon emissions, carbon sinks and the spatiotemporal evolution of potential carbon transfer are quantitatively measured, and the key path and important carbon metabolism chambers of carbon transfer are revealed. The results showed that the expansion of urban land and industrial and transportation land has led to an increase in carbon emissions, which increased nearly seven times from 2000 to 2020. The reduction of carbon sinks was related to the reduction of forest land and cultivated land area, the distribution of carbon metabolism density is similar to the spatial evolution of land use. The distribution of high negative carbon metabolism density is related to the expansion of industrial and transportation land, which has increased by nearly four times in 20 years. The transformation between cultivated land and industrial and transportation land is the key path of carbon transfer, and the resulting negative carbon transfer accounts for more than 30% of the contribution. Flexible land use planning can optimize emission reduction by changing the key carbon transfer path and adjusting key chambers.更多还原