Assessing the resilience of complex ecological spatial networks using a cascading failure model

弹性(材料科学) 生态网络 节点(物理) 计算机科学 生态学 复杂网络 山麓 环境科学 环境资源管理 地理 工程类 生态系统 生物 结构工程 热力学 物理 万维网
作者
Qing Xiang,Huan Yu,Hong Huang,Feng Li,Lingfan Ju,Wenkai Hu,Peng Yu,Zongchun Deng,Y. Chen
出处
期刊:Journal of Cleaner Production [Elsevier]
卷期号:434: 140014-140014 被引量:42
标识
DOI:10.1016/j.jclepro.2023.140014
摘要

The resilience of ecological networks is an important guarantee for maintaining regional ecological stability. However, current research on the resilience of ecological networks does not take into account the dynamic processes of the network. This study is based on complex network theory, takes the southern foothills of the Qilian Mountains in China as the research area, and uses the shortest path method to construct an ecological network with 104 nodes and 306 edges. It then uses the cascading failure model to simulate the dynamic response process of the ecological network under different attack strategies, and uses this to evaluate the resilience of the complex ecological space. The research results show that The topological structure of the ecological space network in the southern foothills of the Qilian Mountains has the characteristics of fewer central high-degree nodes and more peripheral low-degree nodes; When the initial load intensity difference of each ecological node in the network is small, the attacked low-degree nodes make the decline in network resilience more obvious. When the initial load intensity difference of each ecological node in the network is large, the attacked high degree nodes make the decline in network resilience more obvious. The study suggests that maintaining the load of high degree nodes and increasing the capacity of low degree nodes are the keys to maintaining network stability. The results provide a new perspective for optimising ecological network configuration and protecting key areas.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
cassie发布了新的文献求助10
刚刚
刚刚
alhn发布了新的文献求助10
1秒前
1秒前
1秒前
英姑应助山雷采纳,获得10
2秒前
2秒前
田様应助sikaixue采纳,获得10
3秒前
回眸发布了新的文献求助10
3秒前
科研通AI6应助llltencion采纳,获得10
5秒前
HJJHJH发布了新的文献求助10
5秒前
LaTeXer应助科研通管家采纳,获得30
6秒前
ATIHSA88应助科研通管家采纳,获得10
6秒前
领导范儿应助科研通管家采纳,获得10
6秒前
坦率灵槐应助科研通管家采纳,获得10
6秒前
浮游应助科研通管家采纳,获得10
7秒前
无花果应助科研通管家采纳,获得10
7秒前
Lucas应助科研通管家采纳,获得10
7秒前
无名应助科研通管家采纳,获得20
7秒前
BowieHuang应助科研通管家采纳,获得10
7秒前
ATIHSA88应助科研通管家采纳,获得10
7秒前
坦率灵槐应助科研通管家采纳,获得10
7秒前
zhonghang2024应助科研通管家采纳,获得10
7秒前
汉堡包应助科研通管家采纳,获得10
7秒前
Twonej应助科研通管家采纳,获得10
7秒前
7秒前
坦率灵槐应助科研通管家采纳,获得10
8秒前
123应助科研通管家采纳,获得10
8秒前
汉堡包应助科研通管家采纳,获得10
8秒前
浮游应助科研通管家采纳,获得10
8秒前
ATIHSA88应助科研通管家采纳,获得10
8秒前
坦率灵槐应助科研通管家采纳,获得10
8秒前
今后应助科研通管家采纳,获得10
8秒前
BowieHuang应助科研通管家采纳,获得10
8秒前
xinghui应助科研通管家采纳,获得10
8秒前
英姑应助科研通管家采纳,获得100
8秒前
xu应助科研通管家采纳,获得10
8秒前
123应助科研通管家采纳,获得10
9秒前
zzx发布了新的文献求助10
9秒前
紫菀应助科研通管家采纳,获得10
9秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Encyclopedia of Reproduction Third Edition 3000
Comprehensive Methanol Science Production, Applications, and Emerging Technologies 2000
化妆品原料学 1000
Psychology of Self-Regulation 800
1st Edition Sports Rehabilitation and Training Multidisciplinary Perspectives By Richard Moss, Adam Gledhill 600
Red Book: 2024–2027 Report of the Committee on Infectious Diseases 500
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5642428
求助须知:如何正确求助?哪些是违规求助? 4758826
关于积分的说明 15017538
捐赠科研通 4801013
什么是DOI,文献DOI怎么找? 2566317
邀请新用户注册赠送积分活动 1524459
关于科研通互助平台的介绍 1483969