黄河三角洲滨海湿地碳储量及其对未来多情景的响应
作者:
作者单位:

作者简介:

通讯作者:

中图分类号:

基金项目:

国家自然科学基金面上项目(31870468);山东省自然科学基金面上项目(ZR2020MD013);中国科学院烟台海岸带研究所前沿部署项目(YICE351030601)


Carbon stocks in coastal wetlands of the Yellow River Delta and their response to future multi-scenarios
Author:
Affiliation:

Fund Project:

Natural Sciences Foundation of Shandong Province (No.ZR2020MD013);National Natural Sciences Foundation of China (No.31870468);Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences(YIC E35103060)

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 文章评论
    摘要:

    黄河三角洲作为我国暖温带最年轻、保存最完整的滨海湿地生态系统,在全球气候变化以及区域人类活动加剧的背景下,海平面上升和地面沉降加剧使得地区生态安全受到严重威胁。基于1991-2020年8期土地利用/覆被数据,使用生态系统服务和权衡的综合评估模型(InVEST)碳储量模块系统评估黄河三角洲过去30年的土地利用/覆被和碳储量时空变化特征,并进一步耦合海水淹没模型和斑块生成土地利用变化模拟软件(PLUS)预测生态保护、自然发展和经济发展三种情景下黄河三角洲2035和2050年土地利用/覆被和碳储量格局。结果表明:1991-2020年间,碳储量累计减少107.94万t,降幅为8.12%,自然湿地和非湿地碳储量分别减少386.66和18.56万t,人工湿地碳储量增加297.27万t。2035和2050年,黄河三角洲分别约有4.47%-11.58%和6.20%-17.42%的陆地会被海水淹没,导致未来黄河三角洲多情景模拟中碳储量均减少,到2035年生态保护、自然发展和经济发展情景下碳储量分别减少了42.38万t、76.68万t和119.50万t,到2050年三种情景碳储量分别减少了59.30万t、119.02万t和187.01万t,同时期生态保护情景下碳储量减少速率最小。黄河三角洲应坚持可持续发展,加强高碳储量土地利用/覆被类型的生态保护,通过回填开采区等方式减少地面沉降速率,并在可能被淹没的区域建设沿海堤坝以预防海水淹没,从而减少黄河三角洲的碳储量损失。研究指出了海水淹没会导致巨大的碳储量损失,可为黄河三角洲未来提高固碳增汇作用提供数据支撑和理论基础。

    Abstract:

    The Yellow River Delta is the youngest and best-preserved coastal wetland ecosystem in the warm temperate zone of China. The ecological security of the Yellow River Delta is seriously threatened by sea level rise and increased land subsidence, in the context of global climate change and intensified human activities. This paper evaluated the spatial and temporal characteristics of land use/cover and carbon stocks in the Yellow River Delta over the past 30 years, using the InVEST model based on eight periods of land use/cover data from 1991 to 2020. In addition, the seawater inundation model and PLUS model were used to predict the land use/cover and carbon stock patterns in the Yellow River Delta in 2035 and 2050, under the Ecological-Protection scenario, Natural-Development scenario and Economic-Growth scenario. The results showed that over the past 30 years, carbon stocks decreased by a total of 1079400 tonnes, representing a decrease of 8.12%. Natural wetlands and non-wetlands carbon stocks decreased by 3866600 tonnes and 185600 tonnes, respectively, and artificial wetlands carbon stocks increased by 2972700 tonnes. About 4.47%-11.58% and 6.20%-17.42% of the land in the Yellow River Delta will be inundated by seawater in 2035 and 2050, respectively, resulting in a reduction of carbon stocks in the Yellow River Delta in the future simulations of the three scenarios. The carbon stocks under the Ecological-Protection scenario, Natural-Development scenario and Economic-Growth scenario will decrease by 423800 tonnes, 766800 tonnes, and 1195000 tonnes, respectively by 2035, while by 593000 tonnes, 1190200 tonnes, and 1870100 tonnes, respectively, by 2050 for the three scenarios. The Ecological-Protection scenario has the lowest rate of carbon stocks reduction in the same period. The Yellow River Delta should prioritize green and sustainable development. On one hand, it is imperative to bolster the ecological protection of land use/cover types with high carbon storage and carbon fixation. On the other hand, effective measures such as controlling oil and underground brine mining, as well as backfilling mining areas, are essential for reducing land subsidence rates. Additionally, the construction of coastal dams in at-risk areas can mitigate the potential for seawater flooding, ultimately minimizing the loss of carbon reserves in the Yellow River Delta. The study points out that seawater inundation leads to huge loss of carbon stocks, which can provide data support and theoretical basis for improving the role of carbon sequestration and carbon sinks in the Yellow River Delta in the future.

    参考文献
    相似文献
    引证文献
引用本文

唐志雄,宁荣荣,王德,田信鹏,毕晓丽,周自翔,罗富彬,宁吉才.黄河三角洲滨海湿地碳储量及其对未来多情景的响应.生态学报,2024,44(8):3280~3292

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数: