首页|基于PLUS-MOP模型构建韧性城市生态网络

基于PLUS-MOP模型构建韧性城市生态网络

扫码查看
城市化导致的土地利用变化是城市生态系统退化的主要原因,加强生态网络的韧性有利于提高生态效益.为使生态网络更好地适应未来城市的发展,以哈尔滨为例,基于PLUS-MOP模型,从土地利用演进的角度出发,构建 2030 年哈尔滨市生态网络的 3 种模拟情景,并从结构韧性和功能韧性两个维度对其进行韧性评估.结果表明:1)生态网络结构韧性的提升与源地破碎程度、生态廊道长度及网络传递性有关;2)生态网络的功能韧性与重要节点数量和节点删除方式密切相关,比较去除重要节点前后生态网络韧性的变化,有助于精细化识别关键生态节点.最后,针对哈尔滨市生态空间开发和未来发展规划提出相关建议,即保护关键节点的完整性、提升关键节点间的连通性、加强对踏脚石的保护和规划,以期为探索适应长期外部变化的城市生态网络提供新思路.
Building a Resilient Urban Ecological Network Based on PLUS-MOP Model
Land use change out of urbanization is the main cause of urban ecosystem degradation,and strengthening the resilience of ecological networks is conducive to improving ecological benefits.In order to promote better adaptation of the ecological network to future urban development,this paper constructs three simulation scenarios of ecological network in Harbin City in 2030 using PLUS-MOP model from the perspective of land use evolution and assesses their resilience in the two dimensions of structural resilience and functional resilience.The results show that:1)The enhancement of structural resilience of ecological networks is related to the degree of source fragmentation,ecological corridor length and network transmissibility;2)The functional resilience of ecological networks is closely related to the number of important nodes and the way to remove.Comparing the changes in ecological network resilience before and after removing important nodes can help further identify key ecological nodes.Suggestions are proposed for ecological space restoration in Harbin,including the conservation of the integrity of key nodes,the improvement of connectivity between key nodes,and more emphasis on the protection and planning of stepping stones,aiming to provide new ideas for exploring the urban ecological networks that can adapt to the long-term external changes.

land use simulationurban ecological networknetwork resiliencePLUS-MOP model

李雨泽、袁静远、吴冰、刘晓光

展开 >

哈尔滨工业大学建筑学院 哈尔滨 150000

寒地城乡人居环境科学与技术工业和信息化部重点实验室 哈尔滨 150000

土地利用模拟 城市生态网络 网络韧性 PLUS-MOP模型

2024

中国城市林业
中国林业科学研究院

中国城市林业

影响因子:0.467
ISSN:1672-4925
年,卷(期):2024.22(3)
  • 16