The Institute for Advanced Study of Coastal Ecology, Ludong University, Yantai 264025, China.
CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research (YIC), Chinese Academy of Sciences (CAS); Shandong Key Laboratory of Coastal Environmental Processes, YICCAS, Yantai 264003, China.
Sci Total Environ. 2024 Dec 15;956:177257. doi: 10.1016/j.scitotenv.2024.177257. Epub 2024 Nov 10.
With the increasing intensification of human activities, significant changes in land use and land cover (LULC) have posed a severe threat to the carbon storage capacity of wetland ecosystems. A deep understanding of this impact is crucial for protecting regional ecosystems and promoting sustainable development. This study utilized the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model and the human activity intensity (HAI) index to conduct detailed grid analysis and global analysis of carbon storage through creating fishnet system and explored the complex relationship between carbon storage and HAI in the Yellow River Delta (YRD), China. The results indicated that over the past 30 years, natural wetlands such as meadow wetlands and salt marshes in the study area had undergone significant degradation due to escalating human activities, while artificial wetlands and non-wetland areas expanded. Concurrently, the total regional carbon storage had declined by 2.08 Tg, representing a significant drop of 8.22 % in the YRD from 1990 to 2020. Among them, dry land, as the primary land type, served as the most crucial carbon pool. Additionally, the human activity intensity of land surface (HAILS) increased significantly, with a growth rate of 37.27 %. HAI mapping revealed a continuous expansion of areas with high HAI. In contrast, the Yellow River Delta National Nature Reserve (YRDNNR) maintained relatively low HAI. Correlation analysis further showed the significant negative correlation (p < 0.01) between carbon storage and HAI, with r values of grid analysis ranging from -0.1395 to -0.0334, while that for global analysis was -0.9643, respectively. This reflected the spatial heterogeneity and agglomeration effects of data analysis across different scales. This study provides valuable insights for achieving the "dual carbon" goals and supporting the conservation and management of wetland ecosystems.
随着人类活动的日益加剧，土地利用和土地覆盖（LULC）的显著变化对湿地生态系统的碳储存能力构成了严重威胁。深入了解这种影响对于保护区域生态系统和促进可持续发展至关重要。本研究利用综合生态系统服务和权衡评估（InVEST）模型和人类活动强度（HAI）指数，通过创建鱼网系统对碳储存进行详细的网格分析和全球分析，并探讨了中国黄河三角洲（YRD）碳储存与 HAI 之间的复杂关系。结果表明，在过去的 30 年中，由于人类活动的加剧，研究区的天然湿地（如草甸湿地和盐沼）发生了显著退化，而人工湿地和非湿地面积却在扩大。同时，区域总碳储量减少了 2.08Tg，即从 1990 年到 2020 年，黄河三角洲的碳储量减少了 8.22%。其中，旱地作为主要土地类型，是最重要的碳库。此外，陆地表面人类活动强度（HAILS）显著增加，增长率为 37.27%。HAI 图显示，高 HAI 区不断扩大。相比之下，黄河三角洲国家自然保护区（YRDNNR）的 HAI 相对较低。相关分析进一步表明，碳储存与 HAI 之间存在显著的负相关关系（p<0.01），网格分析的 r 值范围从-0.1395 到-0.0334，而全球分析的 r 值为-0.9643，分别反映了不同尺度数据分析的空间异质性和集聚效应。本研究为实现“双碳”目标和支持湿地生态系统的保护和管理提供了有价值的见解。
