Regional ecological risk assessment for Guangxi (China) based on entropy method and the pressure-capital-vulnerability-response model

IF 7 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES
Hui Wang
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Abstract

Regional ecological risk assessment (RERA) is an important macroscopic environmental management tool and can provide specific approaches for ecological protection and sustainable development. In this research, through incorporating entropy method and pressure-capital-vulnerability-response (PCVR) model into RERA flowchart, the cause-effect-response relationship between human and environment was manifested within RERA context. Among the PCVR-RERA framework, production-living socioeconomic activities constitute human-caused ecological risk source pressures whereas land use ecology function forms the ecological risk receptor capital. Besides, circular economy (CE)-pertinent indexes were acquired for the characterization purpose of human response risk in coping with ecological issues and this CE-based human response risk manifestation scheme was an important improvement for RERA research. As for vulnerability, apart from slope, vegetation, soil and dryness factors, karst distribution index was also incorporated into the expression of final comprehensive eco-environmental vulnerability of Guangxi. The results of the study showed that: (1) the southeast part of Guangxi had higher human-caused ecological risk source pressure and lower integrated eco-environmental vulnerability, whereas the vast west and northeast parts had lower human-related ecological risk source pressure and higher comprehensive eco-environmental vulnerability. (2) Most developed cities within Guangxi, such as Liuzhou, Nanning, Guilin and Beihai, had lower human response risk whereas the less developed cities, like Baise, Chongzuo and Hechi, had higher human response risk, meaning that within developed cities, CE’s development was more satisfied. (3) Within Guangxi, the central and western parts had higher final ecological risk because of higher eco-environmental vulnerability and human response risk there. On the contrary, the Hezhou City had the lowest final ecological risk owing to its lower human production-living disturbance and eco-environmental vulnerability level. At last, this research made clear the foci of regional ecological risk management (RERM) for Guangxi, e.g., mitigating human response risk through reinforcing CE development with respect to natural resources’ reducing, reusing, and recycling, and enhancing karst ecological restoration to cope with anthropogenic and natural influences in western karst regions of Guangxi. All these RERM countermeasures will be helpful for the constructions of circular society and ecological civilization within Guangxi, China.
基于熵法和压力-资本-脆弱性-响应模型的广西区域生态风险评价
区域生态风险评价是一种重要的宏观环境管理工具,可以为生态保护和可持续发展提供具体的途径。本研究通过将熵值法和压力-资本-脆弱性-响应(PCVR)模型引入RERA流程图,在RERA背景下体现人与环境的因果-反应关系。在PCVR-RERA框架中,生产-生活社会经济活动构成人为生态风险源压力,土地利用生态功能构成生态风险受体资本。此外,为了表征应对生态问题的人类反应风险,获得了与循环经济相关的指标,基于循环经济的人类反应风险表现方案是对RERA研究的重要改进。在脆弱性方面,除边坡、植被、土壤和干旱因子外,还将喀斯特分布指数纳入广西最终综合生态环境脆弱性的表达。研究结果表明:(1)广西东南部人为生态风险源压力较大,综合生态环境脆弱性较低,而广大西部和东北部人为生态风险源压力较小,综合生态环境脆弱性较高。(2)柳州、南宁、桂林、北海等发达城市的人类反应风险较低,百色、崇左、河池等欠发达城市的人类反应风险较高,说明在发达城市内,粤西发展较为满意。(3)广西中西部地区生态环境脆弱性和人为响应风险较高,最终生态风险较高。而贺州市由于其人类生产生活干扰程度和生态环境脆弱性水平较低,最终生态风险最低。最后,明确了广西区域生态风险管理的重点,即通过加强自然资源减量化、再利用和循环利用方面的生态环境发展来降低人为响应风险,以及加强喀斯特生态恢复以应对广西西部喀斯特地区人为和自然影响。这些对策将有助于广西建设循环型社会和生态文明。
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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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