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应用生态学报 ›› 2024, Vol. 35 ›› Issue (12): 3247-3256.doi: 10.13287/j.1001-9332.202412.020

• 生态系统服务与区域可持续专栏(专栏策划:孙晓、冯喆、陶宇、李春林、林锦耀) • 上一篇    下一篇

河北省生态系统碳储量的时空演变及多情景模拟

李林云1*, 陈璐1, 韩梦娟2, 侯捷3   

  1. 1中共河北省委党校(河北行政学院)社会和生态文明教研部, 石家庄 050000;
    2河北师范大学法政与公共管理学院, 石家庄 050024;
    3农业农村部环境保护科研监测所, 天津 300191
  • 收稿日期:2024-05-11 接受日期:2024-09-19 出版日期:2024-12-18 发布日期:2025-06-18
  • 通讯作者: *E-mail: li_linyun@126.com
  • 作者简介:李林云, 女, 1991年生, 博士, 讲师。主要从事生态环境保护与绿色发展研究。E-mail: li_linyun@126.com
  • 基金资助:
    河北省社会科学基金项目(HB22GL063)

Spatio-temporal variation and multi-scenario simulation of ecosystem carbon storage in Hebei Province, China

LI Linyun1*, CHEN Lu1, HAN Mengjuan2, HOU Jie3   

  1. 1Ministry of Social and Ecological Civilization, Party School of Hebei Provincial Committee of the Communist Party of China (Hebei Academy of Governance), Shi-jiazhuang 050000, China;
    2School of Law and Public Administration, Hebei Normal University, Shijiazhuang 050024, China;
    3Agro-Environmental Protection Institute, Ministry of Agriculture and Rural Affairs, Tianjin 300191, China
  • Received:2024-05-11 Accepted:2024-09-19 Online:2024-12-18 Published:2025-06-18

摘要: 土地利用变化在陆地生态系统碳储量变化过程中起重要作用,探明长时间序列下土地利用和生态系统碳储量的时空演变,对于提升区域生态系统碳汇能力与实现碳中和目标具有重要意义。本研究以河北省为例,耦合InVEST-PLUS模型,对2000—2020年土地利用和生态系统碳储量的时空变化进行评估,探究其响应关系,并预测2040年土地利用类型和碳储量变化。结果表明: 2000—2020年间,研究区以耕地、林地和草地为主,耕地面积减少7011.1 km2,建设用地面积增加7479.6 km2;耕地转为建设用地是主要的土地转移类型;研究区碳储量减少3.6×107 t,耕地和草地转为建设用地是碳储量减少的主要原因;生态系统碳储量呈现西北部高、东南部低的空间分布特征。2020—2040年,河北省在自然发展情景、生态保护情景和经济发展情景下的碳储量将分别增加4.0×107、5.1×107和5.9×107 t,耕地、林地和草地仍为主要碳库。未来应持续保护林地和草地等固碳资源,以减少碳排放为目标优化土地利用格局,同时,持续保护具有较高碳密度的区域,进一步增强其固碳能力。

关键词: 土地利用变化, 碳储量, InVEST模型, PLUS模型, 多情景模拟, 河北省

Abstract: Land use change drives carbon storage in terrestrial ecosystems. Understanding the spatio-temporal varia-tion of land use and carbon storage is important for improving carbon sink capacity and achieving the carbon neutrality goal. With InVEST-PLUS model, we evaluated spatio-temporal variation of land use change and ecosystem carbon storage in Hebei Province, explored their variations from 2000 to 2020, and predicted land use changes and carbon storage in 2040. The results showed that cultivated land, forest, and grassland were dominant vegetation types from 2000 to 2020. The area of cultivated land decreased by 7011.1 km2, and the construction land increased by 7479.6 km2. The conversion of cultivated land to construction land was the predominant form of land transfer. Carbon storage in Hebei decreased by 3.6×107 t from 2000 to 2020, with the conversion of cultivated land and grassland to construction land being the main reason for such rapid decline of carbon storage. Carbon storage was higher in the northwest and lower in the southeast. From 2020 to 2040, under natural development scenario, ecological protection scenario, and economic development scenario, the carbon storage of Hebei Province would increase by 4.0×107, 5.1×107, and 5.9×107 t, respectively. The main carbon pools will still be cultivated land, forest, and grassland. In the future, it would be necessary to protect carbon sequestration resources such as forest and grassland, optimize land use pattern with the goal of reducing carbon emissions, and protect areas with high carbon density to further enhance their carbon sequestration capacity.

Key words: land use change, carbon storage, InVEST model, PLUS model, multi-scenario simulation, Hebei Province