Suppr超能文献

[未来不同情景下陕西省碳储量时空演变分析]

[Analysis of the Spatiotemporal Evolution of Carbon Reserves in Shaanxi Province Under Different Scenarios in the Future].

作者信息

Qu Song-Jie, Han Ling, Huang Xin, Yang Nan-Nan, Guo Qian-Hui-Zi

机构信息

College of Land Engineering, Chang'an University, Xi'an 710054, China.

College of Geological Engineering and Surveying, Chang'an University, Xi'an 710054, China.

出版信息

Huan Jing Ke Xue. 2024 Aug 8;45(8):4683-4695. doi: 10.13227/j.hjkx.202310028.

Abstract

To understand the land use development trends in Shaanxi Province under different scenarios and effectively assess the spatiotemporal evolution of terrestrial ecological carbon stocks in Shaanxi Province under land use changes, the study used Markov-FLUS and InVEST models to analyze the impact of land use changes in Shaanxi Province from 2000 to 2020. The impact of carbon storage changes and the spatiotemporal changes in land use structure, carbon storage, and carbon density under three different scenarios were simulated and assessed in Shaanxi Province in 2025 and 2030. The results showed: ① The ROC values of various categories in the coupled Markov-FLUS model were all above 0.7, showing high accuracy and excellent classification performance. The model had a good ability to explain the land use driving factors in the study area, with high accuracy and excellent classification performance. ② From 2000 to 2020, the cultivated land in Shaanxi Province increased significantly. Forest land increased significantly, and the increase in forest land area with high carbon sequestration efficiency caused the carbon storage in Shaanxi Province to increase from 1 546.95 Tg to 1 616.25 Tg. The changes in various regions in Shaanxi Province from 2000 to 2020 were different, among which the carbon storage in Yan'an was significantly increased by 18.89 Tg, whereas the carbon storage in Yulin significantly decreased by 3.29 Tg in 20 years. ③ Altitude, precipitation, and temperature became the main factors affecting the spatiotemporal changes in carbon storage in Shaanxi Province from 2020 to 2030. In three of the years between 2025 and 2030, under different scenarios, the carbon stocks under the ecological priority scenario were 1 632.27 Tg and 1 647.43 Tg, respectively. The carbon storage and its growth rate were significantly higher than in the natural development scenario and the cultivated land protection scenario. ④ The proportion of carbon storage increase areas under the ecological priority scenario was high. In the cultivated land protection scenario, the proportion of reduction areas was lower than that of the natural development scenario, and the distribution of carbon storage was the most balanced. At the same time, the southern and northern areas of the Loess Plateau in northern Shaanxi need to focus on the protection of the ecological environment in future development. The research results can, to a certain extent, provide reference for promoting the construction of ecological Shaanxi and formulating carbon neutral strategic planning.

摘要

为了解不同情景下陕西省土地利用发展趋势,并有效评估土地利用变化下陕西省陆地生态碳储量的时空演变,本研究采用马尔可夫- FLUS模型和InVEST模型分析了2000—2020年陕西省土地利用变化情况。模拟并评估了三种不同情景下2025年和2030年陕西省碳储量变化的影响以及土地利用结构、碳储量和碳密度的时空变化。结果表明:①耦合马尔可夫- FLUS模型中各类别的ROC值均高于0.7,显示出较高的精度和优良的分类性能。该模型对研究区土地利用驱动因素具有良好的解释能力,精度高,分类性能优良。②2000—2020年,陕西省耕地显著增加,林地显著增加,且固碳效率高的林地面积增加导致陕西省碳储量从1546.95 Tg增加到1616.25 Tg。2000—2020年陕西省各地区变化不同,其中延安碳储量显著增加18.89 Tg,而榆林碳储量在20年间显著减少3.29 Tg。③海拔、降水和温度成为影响2020—2030年陕西省碳储量时空变化的主要因素。在2025—2030年的3年中,不同情景下,生态优先情景下的碳储量分别为1632.27 Tg和1647.43 Tg, 碳储量及其增长率显著高于自然发展情景和耕地保护情景。④生态优先情景下碳储量增加区域的比例较高。在耕地保护情景下,减少区域的比例低于自然发展情景,且碳储量分布最为均衡。同时,陕北黄土高原南北地区在未来发展中需要注重生态环境保护。研究结果在一定程度上可为推进生态陕西建设和制定碳中和战略规划提供参考。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验