中国十大城市群生态弹性:碳中和背景下的演化与影响

IF 3.2 3区 环境科学与生态学 Q2 ECOLOGY
Xiao Ouyang , Jian Chen , Xiao Wei , Jiayu Li
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引用次数: 0

摘要

在全球碳中和倡议中,城市脱碳与生态恢复力之间的动态相互作用仍未得到充分探讨,特别是在平衡减排和生态系统稳定的中国城市群中。阐明人为和自然驱动因素如何在碳中和约束下相互作用塑造生态弹性,已成为实现人类与自然系统可持续共存的关键科学前沿。为此,本文构建了碳中和指数(CNI)和生态弹性指数(ERI),对2000 - 2020年中国城市群的碳中和和生态弹性进行了评价。利用限制三次样条分析确定影响因子的非线性阈值,结果表明:(1)两项指数均呈上升趋势,CNI由5.03上升至11.88,ERI由0.41上升至0.49,呈现中心向周边梯度的空间格局;(2)人为因素和自然因素对生态效益均表现出非线性影响,并在CNI(10.75)、人口密度(12151)、GDP(20.94万元)和各种环境参数等关键变量上确定了特定阈值。(3)确定了21,262 km²的最大潜在生态修复优先区域。研究结果为有针对性的保护和修复工作提供了科学指导,以支持城市群在国土空间规划框架内的可持续发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Ecological resilience in China's ten urban agglomerations: evolution and influence under the background of carbon neutrality
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.
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来源期刊
Ecological Modelling
Ecological Modelling 环境科学-生态学
CiteScore
5.60
自引率
6.50%
发文量
259
审稿时长
69 days
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/).
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