Wang Shuang, Wu Maoquan, Hu Mengmeng, Xia Beicheng
School of Environmental Science and Engineering, Sun Yat-Sen University, Guangzhou, 510275, China.
Shenzhen Degree of Freedom Sci-Tech Co., Ltd, Shenzhen, 518116, China.
Environ Sci Pollut Res Int. 2022 Oct;29(50):76051-76065. doi: 10.1007/s11356-022-20897-5. Epub 2022 Jun 4.
The ecological security pattern (ESP) focuses on key ecological elements in ecosystems by identifying, combining, and evaluating these elements. This study attempts to identify the ESP of the Pearl River Delta (PRD) and provide suggestions for optimization. Ecosystem services were calculated and applied to construct the ecological resistance surface; morphological spatial pattern analysis (MSPA) and landscape connectivity analysis were used to identify ecological sources; and minimum cumulative resistance (MCR) model was applied to extract ecological corridors and ecological nodes. The results show that during 1995 to 2015, the main landscape transformation occurred between forest, cropland, and urban land, and the location of the transformation was mainly in the central part of the study area. Regarding the ESP, the average resistance value increased from 0.30 to 0.33; the area of ecological sources decreased by 5.12%; the ratio of total cumulative resistance to the length of the corridors increased by 14.82%; and the number of ecological nodes increased from 71 to 99. For the ESP optimization, based on the correction of the resistance surface, 1348 km blue corridors and 61 blue nodes were extracted. Based on hot spot analysis, nine stepping stones were identified. This optimization compensates for the lack of ecological elements in the center of the study area, enhances weaker corridors, and improves the connectivity of the ESP, thus making the ESP more stable and complete. The ESP constructed and optimized in this paper holds great significance and serves as a valuable reference for ecological protection and environmental management.
生态安全格局(ESP)通过识别、组合和评估生态系统中的关键生态要素来聚焦这些要素。本研究旨在识别珠江三角洲(PRD)的生态安全格局并提供优化建议。计算生态系统服务并应用于构建生态阻力面;利用形态学空间格局分析(MSPA)和景观连通性分析来识别生态源;应用最小累积阻力(MCR)模型提取生态廊道和生态节点。结果表明,1995年至2015年期间,主要的景观转变发生在森林、农田和城市用地之间,转变位置主要在研究区域的中部。关于生态安全格局,平均阻力值从0.30增加到0.33;生态源面积减少了5.12%;总累积阻力与廊道长度的比值增加了14.82%;生态节点数量从71个增加到99个。对于生态安全格局优化,基于阻力面校正,提取了1348公里的蓝色廊道和61个蓝色节点。基于热点分析,确定了9个踏脚石。这种优化弥补了研究区域中心生态要素的不足,增强了较弱的廊道,提高了生态安全格局的连通性,从而使生态安全格局更加稳定和完整。本文构建和优化的生态安全格局具有重要意义,可为生态保护和环境管理提供有价值的参考。