高级检索

    2000—2020年粤港澳大湾区碳储量时空变化特征及其影响因素

    Spatial and temporal changes of carbon storage and its influencing factors in Guangdong-Hong Kong-Macao Greater Bay Area from 2000 to 2020

    • 摘要: 研究大湾区碳储量时空变化特征及其驱动因素对于区域经济可持续发展与生态环境保护具有重要意义。因此,基于遥感数据,利用InVEST模型,对大湾区2000—2020年碳储量进行定性定量评估;同时,在时空差异分析基础上,探索碳储量变化的驱动因素。研究结果表明:1)2000—2020年大湾区土地利用变化最明显的是耕地(−22.24%)和建设用地(+53.66%),其余用地类型变化不大。2)大湾区碳储量高值区集中于西北、东南、西部三面的丘陵和台地地区,而珠江入海口两岸碳储量较低。20 a间,在大湾区所有城市中,仅深圳和肇庆碳储量正增长,其余城市均出现碳储量的负增长。3)大湾区碳储量与人口数量、人口密度、城市化率、夜间灯光指数呈显著负相关(R < 0,P < 0.05),与植被归一化指数表现出明显的正相关(R > 0,P < 0.05)。大湾区未来城市建设和生态发展需要明确严格落实生态保护红线、耕地保护红线和城镇开发边界线的划定,逐步减少建设用地对生态用地和耕地的侵占,切实保障大湾区碳库的主要来源。

       

      Abstract:
      Background As one of the most dynamic areas in the world for economic activities, the carbon stock of the Guangdong-Hong Kong-Macao Great Bay Area is affected by multiple factors including land use types, and the study of the characteristics of spatial and temporal changes in carbon storage and its driving factors in the Greater Bay Area is of great significance for the sustainable development of the regional soil conservation, economy and ecological environmental protection.
      Methods This study qualitatively and quantitatively evaluated the carbon storage in the Greater Bay Area from 2000 to 2020 based on InVEST model, analyzed its spatial and temporal variations. Then, correlation analysis was used to explore the relationship of carbon storage with normalized difference vegetation index (NDVI), average annual precipitation (Prec), average annual temperature (Temp), night light data (NL), total population (POP), population density (PD), gross domestic product (GDP), gross domestic product per capital (GCP), and urbanization rate (UR).
      Results 1) The most obvious land use changes in the Greater Bay Area from 2000 to 2020 were cropland (−22.24%) and construction land (+53.66%), while the rest of the land use types have not changed much. 2) The high value areas of carbon storage in the Greater Bay Area were concentrated in the hilly and tableland areas in the northwest, southeast and west, while the carbon storge on both sides of the Pearl River estuary showed low levels. Among all the cities in the Greater Bay Area, only Shenzhen and Zhaoqing had positive carbon storage growth, while the rest of the cities have negative growth. 3) The carbon storage in the Greater Bay Area was significantly negatively correlated with POP, PD, UR, and NL (R < 0, P < 0.05), and showed a significant positive correlation with NDVI (R > 0, P < 0.05).
      Conclusions The massive influx of migrant populations, rapid economic growth, and swift urban development in the Greater Bay Area have led to significant encroachment on forested and agricultural lands, resulting in a negative growth in regional carbon stocks. Therefore, the establishment of ecological protection red lines, cultivated land protection red lines, and urban development boundaries is crucial for enhancing the carbon sequestration capacity of the region, as well as strengthening the resilience of its ecosystems and the functions of soil and water conservation.

       

    /

    返回文章
    返回