School of Business, Hunan First Normal University, Changsha 410205, China.
Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.
Int J Environ Res Public Health. 2023 Mar 6;20(5):4649. doi: 10.3390/ijerph20054649.
Understanding the relationship between ecosystem service value and ecological risk evolutions holds great theoretical and practical significance, as it helps to ensure the quality management of ecosystems and the sustainable development of human-land system interactions. We analyzed this relationship in the Dongting Lake area in China from 1995 to 2020 using data from remote sensing-interpreted land use with ArcGIS and Geoda. We used the equivalent factor method to estimate the ecosystem service value, constructed a landscape ecological risk index to quantitatively describe the ecological risk of Dongting Lake, and analyzed their correlation. The results show that: (1) over the last 25 years, the ecosystem service value decreased by 31.588 billion yuan, with higher values in the middle of the area and lower values in the surroundings-the highest value was found in forested land and the lowest was for unutilized land; (2) the ecological risk index also decreased slowly over time, from the perspective of single land use type, the ecological risk value of construction land was the lowest, followed by woodland, grassland, and cultivated land, with water area being the highest-the ecological risk level presents the distribution state of whole piece and local aggregation; and (3) the ecological risk index in Dongting Lake area demonstrated positive spatial correlation, and the spatial agglomeration of land with similar risk levels showed a decreasing trend. Areas with strong partial spatial correlations between ecosystem service value and ecological risk index are mainly distributed in the central water areas and their surrounding areas. This study investigates the rational utilization of land resources, and the sustainable development of regional ecological security in Dongting Lake area.
理解生态系统服务价值与生态风险演变之间的关系具有重要的理论和实践意义，因为它有助于确保生态系统的质量管理和人类-土地系统相互作用的可持续发展。我们使用 ArcGIS 和 Geoda 中的遥感解译土地利用数据，分析了 1995 年至 2020 年期间中国洞庭湖地区的这种关系。我们使用当量因子法来估算生态系统服务价值，构建了景观生态风险指数来定量描述洞庭湖的生态风险，并分析了它们之间的相关性。结果表明：（1）在过去的 25 年中，生态系统服务价值减少了 315.888 亿元，中部地区的价值较高，周围地区的价值较低——最高值出现在林地，最低值出现在未利用土地；（2）生态风险指数也随着时间的推移缓慢下降，从单一土地利用类型的角度来看，建设用地的生态风险值最低，其次是林地、草地和耕地，水域的生态风险值最高——生态风险水平呈现整体和局部聚集的分布状态；（3）洞庭湖地区的生态风险指数呈现出正空间相关性，具有相似风险水平的土地的空间聚集呈现出下降趋势。生态系统服务价值和生态风险指数之间具有强局部空间相关性的区域主要分布在中心水域及其周围地区。本研究考察了洞庭湖地区土地资源的合理利用和区域生态安全的可持续发展。
