Faculty of Geography, Yunnan Normal University, Kunming, China.
Key Laboratory of Resources and Environmental Remote Sensing for Universities in Yunnan, Kunming, China.
PLoS One. 2023 Nov 16;18(11):e0294462. doi: 10.1371/journal.pone.0294462. eCollection 2023.
Regional land use change and ecological security have received considerable attention in recent years. The rapid economic development of Kunming and Fuzhou has resulted in environmental damage such as water pollution and urban heat island effect. It is thus important to conduct a comparative analysis of the ecological security response to land use/land cover change (LUCC) in different natural zones. Using the Google Earth Engine (GEE) platform, random forest and support vector machine methods were used to classify land cover types in the study area, after which the ArcGIS platform was used to analyze LUCC. The driving force-pressure-state-impact-response (DPSIR) model and entropy weight method were used to construct an ecological security evaluation system, and gray correlation was used to compare the ecological security responses to LUCC in Kunming and Fuzhou. The findings revealed that: (1) The average dynamic degrees of comprehensive land use in Kunming and Fuzhou from 1995 to 2020 were 1.05% and 0.55%, respectively; (2) From 1995 to 2020, the ecological security index values for Kunming and Fuzhou increased from 0.42 to 0.52 and from 0.36 to 0.68, respectively, indicating that Fuzhou's index is rising more rapidly; and (3)There is a strong correlation between LUCC and ecological security, the correlation between the woodland and the ecological security index is very strong in both places. The expansion of construction land may be an important reason for the reduced ecological security level in Fuzhou City, while water resources have a significant impact on the ecological security level of Kunming City.
近年来,区域土地利用变化和生态安全受到了广泛关注。昆明和福州的经济快速发展导致了水污染和城市热岛效应等环境破坏。因此,对不同自然带的土地利用/土地覆盖变化(LUCC)对生态安全的响应进行比较分析是很重要的。利用 Google Earth Engine(GEE)平台,采用随机森林和支持向量机方法对研究区的土地覆盖类型进行分类,然后利用 ArcGIS 平台进行 LUCC 分析。利用驱动力-压力-状态-影响-响应(DPSIR)模型和熵权法构建生态安全评价体系,采用灰色关联度比较昆明和福州 LUCC 对生态安全的响应。结果表明:(1)1995 年至 2020 年,昆明和福州的综合土地利用动态度平均值分别为 1.05%和 0.55%;(2)1995 年至 2020 年,昆明和福州的生态安全指数值分别从 0.42 增加到 0.52 和从 0.36 增加到 0.68,表明福州的指数上升得更快;(3)LUCC 与生态安全之间存在很强的相关性,两地林地与生态安全指数之间的相关性都非常强。建设用地的扩张可能是福州市生态安全水平降低的一个重要原因,而水资源对昆明市的生态安全水平有显著影响。