| 基于生态网络效用的宁波市土地碳代谢分析 |
| 摘要点击 248 全文点击 14 投稿时间：2024-05-21 修订日期：2024-07-10 |
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| 中文关键词 土地利用 碳代谢 生态网络效用分析 碳流 宁波市 |
| 英文关键词 land use carbon metabolism ecological network utility analysis carbon flow Ningbo City |
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| 中文摘要 |
| 揭示土地利用对碳代谢的影响机制,可为推动土地资源可持续利用和城市绿色低碳转型发展提供依据.以宁波市为研究对象,在多源数据收集的基础上构建碳代谢分析框架,综合运用生态网络分析、标准差椭圆、推力和拉力等模型追踪碳要素流动过程,刻画碳代谢时空演化规律,进而提出土地利用碳减排策略.结果发现：①宁波市净碳排放量（以C计）由406.12万t增至3 019.37万t,增加了6.43倍.②垂直方向上净碳排放量为负值,除林地和草地为正碳代谢分室外,其他用地类型均表现为负碳代谢分室；水平方向上的净碳排放量为负值,主要是耕地、林地向其他建设用地转变导致.③掠夺限制是主要的生态关系,整体生态函数值为0.86,相较于2000~2010年,2010~2020年掠夺限制标准差椭圆中心向东旋转1.47°,竞争关系标准差椭圆中心向西旋转10.46°,椭圆总体范围减小.④耕地、林地和其他建设用地是主要的推力类型,其他建设用地和城镇用地是主要的拉力类型.因此,需要通过采取多种措施降低高碳排放用地密度,同时对生态用地分类制定碳汇提升策略,实现土地利用结构优化和国土空间减排增汇的目标. |
| 英文摘要 |
| This study aims to elucidate the influence mechanism of land use on carbon metabolism and provide a foundation for promoting sustainable land resource utilization and facilitating urban green low-carbon transformation. Taking Ningbo City as the primary research focus, a carbon metabolism analysis framework is formulated, leveraging multi-source data collection. This framework employs ecological network analysis, the standard deviation ellipse method, and push-pull models to trace carbon element flow processes, elucidating the spatiotemporal evolution patterns of carbon metabolism. Consequently, a strategy for mitigating land use-related carbon emissions is proposed. The key findings are as follows： ① Between 2000 and 2020, net carbon emissions （measured in carbon, C） in Ningbo increased from 4.061 2 million tons to 30.193 7 million tons, representing a 6.43-fold increase. ② Vertical net carbon emissions were negative, with all land types except woodland and grassland exhibiting negative carbon metabolism compartments, whereas woodland and grassland had positive carbon metabolism compartments. During the study period, horizontal net carbon emissions in Ningbo were negative, attributed to the conversion of cultivated and forest lands to other construction lands. ③ Predation restriction was the dominant ecological relationship, with an overall ecological function value of 0.86. Compared to that from 2000-2010, the centroid of the 2010-2020 Predation Restriction standard deviation ellipse shifted eastward by 1.47°, whereas the centroid of the Competitive Relationship ellipse rotated westward by 10.46°, accompanied by a decrease in the overall ellipse range. ④ Cultivated land, forest land, and other construction land were the main types of thrust, and other construction land and urban land were the main types of pull. In conclusion, multiple measures need to be taken to reduce the carbon metabolism density of land use while developing carbon sink enhancement strategies for ecological land classification, with the goal of optimizing the land use structure and reducing carbon and increasing sinks in territorial space. |
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