The fractal characteristics and risk indicators of urban ecological environment vulnerability evolution

IF 5.8 2区 环境科学与生态学 Q1 ECOLOGY Ecological Informatics Pub Date : 2025-01-18 DOI:10.1016/j.ecoinf.2025.103033
Xuefeng Wu , Xing Huang , Sidai Guo
{"title":"The fractal characteristics and risk indicators of urban ecological environment vulnerability evolution","authors":"Xuefeng Wu ,&nbsp;Xing Huang ,&nbsp;Sidai Guo","doi":"10.1016/j.ecoinf.2025.103033","DOIUrl":null,"url":null,"abstract":"<div><div>Exploring whether the evolution system of urban ecological environment vulnerability had fractal characteristics is an important basis for objectively evaluating the risk of urban ecological environment vulnerability and improving the reliability of risk warning. Existing research focused on explaining the performance characteristics of complex systems through single scale and multi-dimensional features, and could not dynamically depict the infinite fine approximation characteristics between local development and overall situation of complex systems, resulting in weak reliability of urban ecological environment vulnerability risk warning. Introducing fractal theory into the study of the characteristics of urban ecological environment vulnerability systems, a systematic framework for judging the fractal characteristics of urban ecological environment vulnerability evolution was established around the nonlinear, long-range correlation, and scale-free aspects of fractal theory. Based on the 20 years panel data of 35 cities in China, the fractal characteristics of urban ecological environment vulnerability systems were verified, and the relationship between Hurst index and fractal dimension in continuous time windows was further established. The complexity of urban ecological environment vulnerability systems in continuous time windows was accurately characterized by fractal dimension, providing effective indicators for risk assessment. The results showed that the vulnerability evolution system of urban ecological environment had complexed nonlinear characteristics, and the random Hurst indexes calculated by rescaled range analysis (R/S) was close to 0.5, indicating that the vulnerability evolution system had long-term memory. The vulnerability evolution system described by the random walk model follows a power-law relationship, indicating that the vulnerability evolution system had scale-free self-similarity characteristics. The risk level of the vulnerability evolution system described by the fractal dimension is consistent with reality, indicating that the fractal dimension had strong indicative effect on the risk judgment of the vulnerability evolution system.</div></div>","PeriodicalId":51024,"journal":{"name":"Ecological Informatics","volume":"86 ","pages":"Article 103033"},"PeriodicalIF":5.8000,"publicationDate":"2025-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ecological Informatics","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1574954125000421","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Exploring whether the evolution system of urban ecological environment vulnerability had fractal characteristics is an important basis for objectively evaluating the risk of urban ecological environment vulnerability and improving the reliability of risk warning. Existing research focused on explaining the performance characteristics of complex systems through single scale and multi-dimensional features, and could not dynamically depict the infinite fine approximation characteristics between local development and overall situation of complex systems, resulting in weak reliability of urban ecological environment vulnerability risk warning. Introducing fractal theory into the study of the characteristics of urban ecological environment vulnerability systems, a systematic framework for judging the fractal characteristics of urban ecological environment vulnerability evolution was established around the nonlinear, long-range correlation, and scale-free aspects of fractal theory. Based on the 20 years panel data of 35 cities in China, the fractal characteristics of urban ecological environment vulnerability systems were verified, and the relationship between Hurst index and fractal dimension in continuous time windows was further established. The complexity of urban ecological environment vulnerability systems in continuous time windows was accurately characterized by fractal dimension, providing effective indicators for risk assessment. The results showed that the vulnerability evolution system of urban ecological environment had complexed nonlinear characteristics, and the random Hurst indexes calculated by rescaled range analysis (R/S) was close to 0.5, indicating that the vulnerability evolution system had long-term memory. The vulnerability evolution system described by the random walk model follows a power-law relationship, indicating that the vulnerability evolution system had scale-free self-similarity characteristics. The risk level of the vulnerability evolution system described by the fractal dimension is consistent with reality, indicating that the fractal dimension had strong indicative effect on the risk judgment of the vulnerability evolution system.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
求助全文
约1分钟内获得全文 去求助
来源期刊
Ecological Informatics
Ecological Informatics 环境科学-生态学
CiteScore
8.30
自引率
11.80%
发文量
346
审稿时长
46 days
期刊介绍: The journal Ecological Informatics is devoted to the publication of high quality, peer-reviewed articles on all aspects of computational ecology, data science and biogeography. The scope of the journal takes into account the data-intensive nature of ecology, the growing capacity of information technology to access, harness and leverage complex data as well as the critical need for informing sustainable management in view of global environmental and climate change. The nature of the journal is interdisciplinary at the crossover between ecology and informatics. It focuses on novel concepts and techniques for image- and genome-based monitoring and interpretation, sensor- and multimedia-based data acquisition, internet-based data archiving and sharing, data assimilation, modelling and prediction of ecological data.
期刊最新文献
Improved digital mapping of soil texture using the kernel temperature–vegetation dryness index and adaptive boosting Suitability of the Amazonas region for beekeeping and its future distribution under climate change scenarios Understanding the ecological impacts of vertical urban growth in mountainous regions Soil moisture dominates gross primary productivity variation during severe droughts in Central Asia Mapping spatiotemporal mortality patterns in spruce mountain forests using Sentinel-2 data and environmental factors
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1