摘要
地形复杂、气候多变的横断山区栖息着大量的珍稀动植物,在长期地质构造运动、独特水热条件配置及生物协同演化下形成了多样的生态系统,是众多珍稀鸟类的重要栖息地。作为生态系统的重要指示物种,珍稀鸟类的存在和数量反映了生态系统的健康状况。珍稀鸟类生态源地和生态廊道的有效识别对维护区域生态系统健康、保护环境资源和促进经济社会可持续发展等方面具有重要意义。以横断山区珍稀鸟类为目标物种,本研究基于生物气候变量和土地利用数据,使用最大熵(MaxEnt)和生态系统服务与权衡综合价值(InVEST)模型,整合多源环境数据与物种分布数据识别珍稀鸟类生态源地。应用最小累积阻力(MCR)模型模拟生态廊道,构建珍稀鸟类生态网络。结果表明,珍稀鸟类分布区主要集中在横断山的东北和西南部,鸟类生态源地共计53个,总面积约55,317.62 km^(2),生态廊道共114条,总长度约3,894.84km。提升原始生态网络稳定性的优化结果表明,增设生态垫脚石的效果优于增强生态连通性。
The Hengduan Mountains,characterized by complex topography and variable climate,are home to a rich diversity of rare flora and fauna.These biodiverse ecosystems,shaped by prolonged tectonic activities,distinctive hydrothermal regimes,and biotic coevolution,constitute critical habitats for numerous threatened avian species.As key indicator species of ecosystems,the presence and abundance of these rare birds reflect the health of the ecosystem.The effective identification of ecological source areas and ecological corridors for rare bird species is crucial for maintaining the health of regional ecosystems,conserving environmental resources,and promoting sustainable socio-economic development.Focusing on rare bird species in the Hengduan Mountains,this study employs the MaxEnt and InVEST models based on bioclimatic variables and land-use data to identify ecological source areas by integrating multi-source environmental data and species distribution data.The Minimum Cumulative Resistance(MCR)model is used to simulate ecological corridors and construct an ecological network for rare bird species.The results indicate that the distribution of rare birds is mainly concentrated in the northeast and southwest regions of the Hengduan Mountains.A total of 53 ecological source areas were identified,covering approximately 55,317.62 km^(2),with 114 ecological corridors totaling a length of about 3,894.84 km.The original ecological network was found to be highly sensitive to node attacks.To enhance its stability,two optimization strategies were explored:first,the addition of ecological stepping stones,which significantly improved the network's resilience to damage;second,the enhancement of ecological connectivity,which effectively improved the network's robustness.Robustness analysis revealed that ecological stepping stones enhanced network stability more effectively than connectivity augmentation.
作者
党伟洋
张廷斌
易桂花
李景吉
别小娟
张婷
DANG Weiyang;ZHANG Tingbin;YI Guihua;LI Jingji;BIE Xiaojuan;ZHANG Ting(College of Earth and Planet Science,Chengdu University of Technology,Chengdu 610059,China;State Environmental Protection Key Laboratory of Synergetic Control and Joint Remediation for Soil&Water Pollution,Chengdu University of Technology,Chengdu 610059,China;College of Geography and Planning,Chengdu University of Technology,Chengdu 610059,China;College of Ecology and Environment,Chengdu University of Technology,Chengdu 610059,China)
出处
《地理研究》
北大核心
2025年第8期2103-2120,共18页
Geographical Research
基金
第二次青藏高原综合科学考察研究项目(2019QZKK0307)
四川省科技计划项目(2022YFS0491)。
