Ecological risk assessment and prediction of riparian zones in the Jiangsu section of the Yangtze River from a spatiotemporal perspective

IF 7 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES
Zihan Zhu , Cheng Zhang , Yangyang Lu , Jian Ye , Guohua Fang , Changran Sun , Yun Yang
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引用次数: 0

Abstract

As transitional areas between rivers and land, riparian zones are important for economic and social development and ecological environmental protection. However, urbanisation has significantly increased the ecological risks in these areas. Focusing on the Yangtze River riparian zone in Jiangsu Province, an ecological risk assessment system with 20 indicators was developed based on a systematic analysis of the ecological risk exposure–response process. The temporal and spatial characteristics of ecological risks in the riparian zone from 2003 to 2023 were analysed using the ecological risk composite index model, Moran index, and Getis-Ord Gi* cold hotspot analysis method, while ecological risks for 2028 and 2033 were predicted using the Grey–Markov chain and PLUS models. The findings indicate that (1) high ecological risk areas were mainly concentrated in the Nanjing, Nantong, and Suzhou River sections, with key risk factors including development intensity, pollutant discharge intensity, and ecological riparian retention rate. (2) From 2003 to 2023, ecological risk displayed an initially increasing and then decreasing trend, which reflects the effectiveness of ecological protection policies. However, industrial areas still face increasing risks. (3) Ecological risks exhibited strong positive correlation characteristics, with zoning policies enhancing the clustering effect. The cold hotspot analysis identified three large and two small hotspot areas. (4) By 2028 and 2033, ecological risk will likely show an overall declining and locally increasing trend, necessitating timely policy adjustments to address the rising ecological risks.

Abstract Image

时空视角下的长江江苏段河岸带生态风险评估与预测
河岸带是河流与陆地的过渡地带,对经济社会发展和生态环境保护具有重要意义。然而,城市化显著增加了这些地区的生态风险。以江苏省长江流域为研究对象,在系统分析生态风险暴露-反应过程的基础上,构建了包含20个指标的生态风险评价体系。采用生态风险综合指数模型、Moran指数和Getis-Ord Gi*冷热点分析方法分析了2003 - 2023年河岸带生态风险的时空特征,采用灰色马尔可夫链和PLUS模型预测了2028年和2033年的生态风险。结果表明:(1)高生态风险区主要集中在南京、南通和苏州河河段,主要风险因子包括开发强度、污染物排放强度和生态河岸截留率;(2) 2003 - 2023年,生态风险呈现先上升后下降的趋势,反映了生态保护政策的有效性。然而,工业地区仍然面临着越来越大的风险。③生态风险表现出较强的正相关特征,分区政策增强了集聚效应。冷热点分析确定了3个大热点和2个小热点。④到2028年和2033年,生态风险总体呈下降趋势,局部呈上升趋势,需要及时调整政策以应对上升的生态风险。
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来源期刊
Ecological Indicators
Ecological Indicators 环境科学-环境科学
CiteScore
11.80
自引率
8.70%
发文量
1163
审稿时长
78 days
期刊介绍: The ultimate aim of Ecological Indicators is to integrate the monitoring and assessment of ecological and environmental indicators with management practices. The journal provides a forum for the discussion of the applied scientific development and review of traditional indicator approaches as well as for theoretical, modelling and quantitative applications such as index development. Research into the following areas will be published. • All aspects of ecological and environmental indicators and indices. • New indicators, and new approaches and methods for indicator development, testing and use. • Development and modelling of indices, e.g. application of indicator suites across multiple scales and resources. • Analysis and research of resource, system- and scale-specific indicators. • Methods for integration of social and other valuation metrics for the production of scientifically rigorous and politically-relevant assessments using indicator-based monitoring and assessment programs. • How research indicators can be transformed into direct application for management purposes. • Broader assessment objectives and methods, e.g. biodiversity, biological integrity, and sustainability, through the use of indicators. • Resource-specific indicators such as landscape, agroecosystems, forests, wetlands, etc.
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