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In Chongqing's composite ecosystem of Mountains, Rivers, Forests, Farmlands, Lakes, and Grasslands (CEMRFFLG), the embodied carbon of four subsystems (farmland, grassland, forest, and water) was quantified using Multi-Regional Input-Output (MRIO) and Partial Least Squares Structural Equation Modeling (PLS-SEM) approaches. The flows of embodied carbon among these subsystems were analyzed within a metacoupling framework, and their driving mechanisms were systematically explored. The results indicated that: (1) In 2020, embodied carbon of CEMRFFLG subsystems in Chongqing ranked as farmland > grassland >forest > water, with the farmland subsystem accounting for 68.88% of the total; (2) The embodied carbon inflow to the CEMRFFLG of Chongqing was 3.45 times greater than its outflow, exhibiting a distinct net-input characteristic; (3) Direct carbon flows were characterized by inflow and outflow contribution rates from distant systems of 99.28% and 78.82%, respectively, indicating predominance of long-distance transmission. Conversely, embodied carbon flows presented a distinctive structural pattern of "remote inflows and proximate outflows," wherein distant systems contributed 85.61% of inflows and adjacent systems received 91.36% of outflows; (4) Among all factors, the consumption level showed the strongest positive influence on embodied carbon flows of CEMRFFLG, with a path coefficient of 0.845. A comparative analysis of direct and embodied carbon flows provides a scientific basis for optimizing embodied carbon flow reduction strategies in Chongqing's CEMRFFLG, offering significant implications for achieving green development of composite ecosystem patterns.

, authors=Yan ZHANG¹, Dong-jie GUAN^{2, *}, Li-lei ZHOU², Xiu-juan HE³, Xu-sen ZHU⁴, authorsList=Yan ZHANG, Dong-jie GUAN, Li-lei ZHOU, Xiu-juan HE, Xu-sen ZHU, authorCompany=null, correspAuthors=Dong-jie GUAN, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1314922158183252104, articleId=1314922157684129926, tenantId=1146029695717560320, journalId=1234093305789726721, language=CN, title=元耦合下的山水林田湖草复合生态系统隐含碳流耦合研究, columnId=1234106391661704058, journalTitle=中国环境科学, columnName=碳排放控制, runingTitle=null, highlight=null, articleAbstract=

通过MRIO和PLE-SEM模型，测算重庆市山水林田湖草复合生态系统（CEMRFFLG）四个子系统的隐含碳，分析各子系统间在元耦合框架下的隐含碳流动，并探究隐含碳流的影响机制．结果表明：（1）2020年重庆市的CEMRFFLG的子系统中隐含碳排序为田>草>林>水，田子系统占比为68.88%．（2）重庆市的CEMRFFLG的隐含碳流入量是流出量的3.45倍，呈现出显著的“净输入型”特征．（3）直接碳流的远程系统流入量贡献率达99.28%，流出量贡献率达78.82%，呈现远距离传输为主的特征；隐含碳流则呈现出“远程输入、近程输出”的结构性特征，远程系统的流入量贡献率为85.61%，近程系统的流出量贡献率为91.36%．（4）消费水平对CEMRFFLG的隐含碳流具有最强的正向影响，路径系数为0.845．对直接碳与隐含碳进行分析比较，为重庆市的CEMRFFLG隐含碳流减排优化建议提供科学依据，为实现生态系统复合格局的绿色发展具有重要意义．

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张燕（2000-），女，重庆市合川人，重庆交通大学博士研究生，主要从事生态系统服务流研究．3049599699@qq.com.

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张燕（2000-），女，重庆市合川人，重庆交通大学博士研究生，主要从事生态系统服务流研究．3049599699@qq.com.

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