{"title":"Ecological resilience in China's ten urban agglomerations: evolution and influence under the background of carbon neutrality","authors":"Xiao Ouyang , Jian Chen , Xiao Wei , Jiayu Li","doi":"10.1016/j.ecolmodel.2025.111226","DOIUrl":null,"url":null,"abstract":"<div><div>Amid global carbon neutrality initiatives, the dynamic interplay between urban decarbonization and ecological resilience remains underexplored, particularly in China’s urban agglomerations where balancing emission reduction and ecosystem stability poses critical challenges. Elucidating how anthropogenic and natural drivers interactively shape ecological resilience under carbon-neutral constraints has emerged as a pivotal scientific frontier for achieving sustainable coexistence between human and natural systems. Therefore, we constructed carbon neutrality index (CNI) and ecological resilience index (ERI) to evaluate the carbon neutrality and ecological resilience of urban agglomeration in China from 2000 to 2020. Using restricted cubic spline analysis to identify the nonlinear thresholds of influence factors, results showed that: (1) Both indices showed positive trends, with CNI increasing from 5.03 to 11.88 and ERI from 0.41 to 0.49, displaying spatial patterns of center-to-periphery gradient. (2) Both anthropogenic and natural factors demonstrated nonlinear impacts on ERI with specific thresholds identified for key variables including CNI (10.75), population density (12,151 individuals), GDP (209,400 CNY), and various environmental parameters. (3) We identified 21,262 km² of maximum potential priority areas requiring ecological restoration. These findings provide scientific guidance for targeted protection and restoration efforts to support sustainable urban agglomeration development within territorial spatial planning frameworks.</div></div>","PeriodicalId":51043,"journal":{"name":"Ecological Modelling","volume":"508 ","pages":"Article 111226"},"PeriodicalIF":3.2000,"publicationDate":"2025-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ecological Modelling","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S030438002500211X","RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ECOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Amid global carbon neutrality initiatives, the dynamic interplay between urban decarbonization and ecological resilience remains underexplored, particularly in China’s urban agglomerations where balancing emission reduction and ecosystem stability poses critical challenges. Elucidating how anthropogenic and natural drivers interactively shape ecological resilience under carbon-neutral constraints has emerged as a pivotal scientific frontier for achieving sustainable coexistence between human and natural systems. Therefore, we constructed carbon neutrality index (CNI) and ecological resilience index (ERI) to evaluate the carbon neutrality and ecological resilience of urban agglomeration in China from 2000 to 2020. Using restricted cubic spline analysis to identify the nonlinear thresholds of influence factors, results showed that: (1) Both indices showed positive trends, with CNI increasing from 5.03 to 11.88 and ERI from 0.41 to 0.49, displaying spatial patterns of center-to-periphery gradient. (2) Both anthropogenic and natural factors demonstrated nonlinear impacts on ERI with specific thresholds identified for key variables including CNI (10.75), population density (12,151 individuals), GDP (209,400 CNY), and various environmental parameters. (3) We identified 21,262 km² of maximum potential priority areas requiring ecological restoration. These findings provide scientific guidance for targeted protection and restoration efforts to support sustainable urban agglomeration development within territorial spatial planning frameworks.
期刊介绍:
The journal is concerned with the use of mathematical models and systems analysis for the description of ecological processes and for the sustainable management of resources. Human activity and well-being are dependent on and integrated with the functioning of ecosystems and the services they provide. We aim to understand these basic ecosystem functions using mathematical and conceptual modelling, systems analysis, thermodynamics, computer simulations, and ecological theory. This leads to a preference for process-based models embedded in theory with explicit causative agents as opposed to strictly statistical or correlative descriptions. These modelling methods can be applied to a wide spectrum of issues ranging from basic ecology to human ecology to socio-ecological systems. The journal welcomes research articles, short communications, review articles, letters to the editor, book reviews, and other communications. The journal also supports the activities of the [International Society of Ecological Modelling (ISEM)](http://www.isemna.org/).