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关中平原城市群土地利用变化对碳储量的影响
摘要点击 612  全文点击 111  投稿时间:2023-06-29  修订日期:2023-08-25
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中文关键词  土地利用变化  PLUS模型  InVEST模型  碳储量  多情景模拟  关中平原城市群
英文关键词  land use change  PLUS model  InVEST model  carbon stock  multi-scenario simulation  Guanzhong Plain urban agglomeration
作者单位E-mail
边蕊 河北工程大学矿业与测绘工程学院, 邯郸 056038 bianrui13@163.com 
赵安周 河北工程大学矿业与测绘工程学院, 邯郸 056038 zhaoanzhou@hebeu.edu.cn 
刘宪锋 陕西师范大学地理科学与旅游学院, 西安 710119  
徐瑞皓 河北工程大学矿业与测绘工程学院, 邯郸 056038  
李子洋 河北工程大学矿业与测绘工程学院, 邯郸 056038  
中文摘要
      研究城市群地区土地利用变化对陆地生态系统碳储量的影响,对城市群地区土地利用结构优化及可持续发展具有重要意义.基于PLUS模型和InVEST模型,模拟预测了不同情景下关中平原城市群2040年土地利用变化与碳储量,并进一步分析了土地利用变化对碳储量的影响.结果表明:①关中平原城市群土地利用类型以耕地、林地和草地为主,占研究区总面积的90 %以上.②2000~2020年,关中平原碳储量呈持续下降的趋势,耕地、林地和草地是关中平原碳储量的主要来源,总体碳储量下降了15.12×106 t,空间分布呈现“南北高,中间低”的分布特征.③到2040年,城镇发展情景下碳储量减少最多,共减少27.08×106 t,生态发展情景下碳储量减少最少,共减少4.14×106 t.研究结果可为关中城市群地区高质量发展和土地利用合理规划提供数据支撑.
英文摘要
      It is important to study the impact of land use change on terrestrial ecosystem carbon stocks in urban agglomerations for the optimization of land use structure and sustainable development in urban agglomerations. Based on the patch-generating land use simulation (PLUS) model and integrated valuation of ecosystem services and trade-offs (InVEST) model, a simulation was developed that predicted the land use change and carbon stock of the Guanzhong Plain urban agglomeration in 2040 under different scenarios and further analyzed the impact of land use change on carbon stock. The results showed that:① The land use types of the Guanzhong Plain urban agglomeration were mainly cultivated land, forest land, and grassland, which accounted for more than 90 % of the total study area. ② From 2000 to 2020, the carbon stock in the Guanzhong Plain showed a continuous downward trend, with cropland, woodland, and grassland being the main sources of carbon stock in the Guanzhong Plain, and the overall carbon stock declined by 15.12×106 t, with the spatial distribution presenting the distribution characteristics of "high in the north and south and low in the middle." ③ By 2040, the carbon stock would decrease the most under the urban development scenario, with a total reduction of 27.08×106 t, and the least under the ecological development scenario, with a total reduction of 4.14×106t. The research results can provide data support for the high-quality development and rational land use planning of the Guanzhong Plain urban agglomeration.

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