Department of Landscape Architecture, Faculty of Agriculture C-Block, Ege University, 35100, Izmir, Turkey.
Environ Monit Assess. 2024 Sep 5;196(10):899. doi: 10.1007/s10661-024-13008-z.
Monitoring the land use/land cover (LU/LC) changes that have occurred with rapid population growth and urbanization since the Industrial Revolution is important for the optimal configuration of landscape patterns and ensuring the sustainability of ecological functions. Spatiotemporal dynamic pattern of LU/LC change using high-resolution land use data is an indicator to evaluate the landscape ecological risk through landscape pattern index analysis. In this study, the landscape ecological risk index (LERi) based on LU/LC change was calculated using remote sensing images of Landsat TM (Thematic Mapper) and OLI (Operational Land Imager) Rdata of a Gediz Mainstream Sub-basin in Turkiye between 1992 and 2022, and the spatial distribution regularity of LERi values was determined with spatial statistical analysis. According to the results, it was determined that the LERi values of the study area changed by 45% in 30 years. The highest change is in the very high-risk class, with an increase of 10.96%, and the least change occurred in the very low-risk class, with a decrease of 1.29%. According to the obtained statistical analysis results, it was determined that the global spatial autocorrelation values analyzed at different grain levels showed positive autocorrelation for both years and that the LERi values tended to have strong spatial clustering. As a result, it is emphasized that strict control measures should be taken for areas showing High-High (HH) autocorrelation type located in the southeast and north-southwest line of the study area at the local level, and ecological restoration applications should be given priority in these areas.
监测自工业革命以来快速人口增长和城市化所导致的土地利用/土地覆被（LU/LC）变化，对于优化景观格局配置和确保生态功能的可持续性非常重要。利用高分辨率土地利用数据的 LU/LC 变化时空动态格局是通过景观格局指数分析评估景观生态风险的指标。本研究基于遥感图像的 LU/LC 变化，利用土耳其 Gediz 主流子流域 1992 年至 2022 年的 Landsat TM（专题制图仪）和 OLI（陆地成像仪）Rdata 计算了景观生态风险指数（LERi），并通过空间统计分析确定了 LERi 值的空间分布规律。结果表明，研究区的 LERi 值在 30 年内变化了 45%。变化最大的是极高风险类，增加了 10.96%，变化最小的是极低风险类，减少了 1.29%。根据所得统计分析结果，确定在不同粒度水平上分析的年度全局空间自相关值均呈正自相关，LERi 值倾向于具有强烈的空间聚类。因此，强调应在地方层面上对研究区东南和西南-东北线的 HH 型高-高（HH）自相关区域采取严格的控制措施，并优先在这些区域进行生态恢复应用。
