Zhang Haoxiang, Song Qian, Wang Shiru, Zhao Jianyun, Gao Wenming
School of Geological Engineering, Qinghai University, Xining 810016, China.
Provincial Key Laboratory of Cenozoic Resources and Environment on the Northern Rim of the Qinghai-Tibet Plateau, Qinghai University, Xining 810016, China.
iScience. 2025 May 28;28(7):112775. doi: 10.1016/j.isci.2025.112775. eCollection 2025 Jul 18.
The source area of the Yellow River is characterized by complex climatic and geomorphological conditions, fragile ecosystems, and a series of ecological and environmental problems. At the same time, the region is an important ecological barrier area in China, which is related to national ecological security. The construction of ecological and risk networks is indispensable for maintaining ecological processes and sustaining ecological harmony. Based on ordered weighted average operator, morphological spatial pattern analysis, ecological sensitivity, circuit theory, CA-Markov model, kernel density analysis, and other methods, this study aims to consider the positive and negative connections of the network thus constructing the ecological and risk network and predicting the potential risk areas in the future. It provides guidance, reference and early warning for ecological protection and restoration in the Yellow River source area in order to promote ecological high quality and sustainable development.
黄河源区气候和地貌条件复杂，生态系统脆弱，存在一系列生态环境问题。同时，该区域是中国重要的生态屏障区，关乎国家生态安全。构建生态与风险网络对于维持生态过程和保持生态和谐不可或缺。本研究基于有序加权平均算子、形态空间格局分析、生态敏感性、电路理论、CA - 马尔可夫模型、核密度分析等方法，旨在考虑网络的正负连接关系，从而构建生态与风险网络，并预测未来潜在风险区域。为黄河源区的生态保护与修复提供指导、参考和预警，以推动生态高质量和可持续发展。
