| 基于生态网络效用的乌鲁木齐都市圈“三生空间”碳代谢分析 |
| 摘要点击 652 全文点击 70 投稿时间：2024-05-28 修订日期：2024-07-29 |
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| 中文关键词 “三生空间” 碳代谢 生态网络分析 生态关系 都市圈 |
| 英文关键词 “production-living-ecological spaces” carbon metabolism ecological network analysis ecological relationships urban agglomerations |
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| 中文摘要 |
| 土地利用变化产生的温室气体排放已经成为影响碳排放的重要因素，随着全球生态环境问题凸显，对国土空间变化和碳的关注也日渐提升.研究“三生空间”的碳代谢可以为区域国土空间优化提供依据，促进低碳发展.以乌鲁木齐都市圈为例，构建“三生空间”分类体系和垂直方向上的碳代谢模型，运用生态网络分析模型，研究2000~2020年“三生空间”碳代谢演变特征，评价碳代谢生态关系并分析其时空变化.结果显示：①2000~2020年期间所有空间类型都发生了不同程度的转移，其中较为突出的是林地、草地生态空间和城镇生产生活空间.②都市圈的净碳通量和净碳流量均小于零，“三生空间”变化对碳代谢的作用是消极的，会影响区域碳平衡.③竞争关系在2000~2015年占据主导地位，限制和掠夺关系在2015~2020年期间占比最大，生态关系在空间上主要发生在研究区的西部、西北部、中部和东部.④农业和生态空间以限制、掠夺关系主导，农业和城镇空间主导的是竞争关系，生态和城镇空间在2015年后主导关系从竞争转变为互惠共生；整体生态效用指数小于1.研究成果可为都市圈国土“三生空间”的优化和实施碳减排提供理论依据，促进区域高质量低碳发展. |
| 英文摘要 |
| Greenhouse gas emissions resulting from land use changes have become a significant factor affecting carbon emissions. With the global ecological environment issues becoming more prominent， attention to territorial spatial changes and carbon has also increased. Studying the carbon metabolism of “production-living-ecological spaces” can provide a basis for optimizing regional territorial space and promoting low-carbon development. Taking the Urumqi metropolitan area as an example， a classification system for “production-living-ecological spaces” and a vertical carbon metabolism model were constructed. Using the ecological network analysis model， the characteristics of the carbon metabolism evolution of “production-living-ecological spaces” from 2000 to 2020 were studied， the ecological relationships of carbon metabolism were evaluated， and their temporal and spatial changes were analyzed. The results showed： ① From 2000 to 2020， all space types underwent varying degrees of transfer， with forestry， grassland ecological spaces， and urban production and living spaces being particularly prominent. ② The net carbon flux and net carbon flow of the metropolitan area were both less than zero， indicating that the changes in “production-living-ecological spaces” had a negative impact on carbon metabolism， affecting the regional carbon balance. ③ Competitive relationships dominated from 2000 to 2015， while restrictive and exploitative relationships were predominant from 2015 to 2020. Ecological relationships primarily occurred in the west， northwest， central， and eastern parts of the study area. ④ Agricultural and ecological spaces were dominated by restrictive and exploitative relationships， agricultural and urban spaces by competition， and the dominant relationship between ecological and urban spaces shifted from competition to mutualism after 2015； the overall ecological efficiency index was less than 1. The research findings can provide a theoretical basis for the optimization of metropolitan “production-living-ecological spaces” and the implementation of carbon emission reduction， promoting high-quality， low-carbon regional development. |
