Development of an ecological security evaluation method based on the ecological footprint and application to a typical steppe region in China

Li, Xiaobing; Tian, Mingwei; Hong, Wang; Wang, Han; Yu, Jinxing

doi:10.1016/j.ecolind.2013.12.014

Cited by 59 publications

(30 citation statements)

References 29 publications

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“…The basic procedures of the PSR are index selection, weight assignment, index system establishment and status value calculation. However, there is still no complete ecological security evaluation index system, evaluation standard, quantitative index or corresponding evaluation model (Li et al, 2014b;Tian and Gang, 2012). Few studies of urban ecological security have been non-PSR-based, such as the case study of Li and Xu (2010) with an ecological network analysis method and Gong et al (2009)'s study using the cellular automata method.…”

Section: Response Layer (R)mentioning

confidence: 99%

“…Both of these studies used Guangzhou, China, as their study cases. In addition, Li et al (2014a) analyzed the ecological security of three regions in Inner Mongolia, China, with an ecological footprint index system. Kang and Xu (2010) discussed the feasibility of using the spatial-temporal balanced ecological carrying capacity to assess the ecological security and its regulation.…”

Section: Response Layer (R)mentioning

confidence: 99%

“…Previous studies have mainly been based on the international, national, and local and industry rules of urban development and evaluation standards, such as environmental quality, public health standards issued by the national or international organization, environmental safety evaluation standard and regulation issued by various industries, governmental planning goals, regional background values and local standards. The analogical standard uses the ecosystem with no serious human interference as the standard of ecological security (Jiang, 2011;Li et al, 2014b;Pei et al, 2010;Tian and Gang, 2012). According to relevant standards of urban security evaluation, we developed an urban ecological security evaluation index system and classification standard for our research region (Table 3).…”

Section: Fuzzy Model For Index Evaluationmentioning

confidence: 99%

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Urban ecological security assessment for cities in the Beijing–Tianjin–Hebei metropolitan region based on fuzzy and entropy methods

Han

Liu

Wang

2015

Ecological Modelling

151

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a b s t r a c tBased on the pressure-state-response conceptual model, we constructed the urban ecological security evaluation index system for 13 cities in the Beijing-Tianjin-Hebei metropolitan region from 2003 to 2014, where integrated development has occurred up to the national strategic level. The entropy-weight method was used to calculate the index weights to eliminate subjectivity. After the perfection and detailing of the increased half-ladder membership function and the confirmation of the membership standard of urban ecological security evaluation, the fuzzy synthetic evaluation method was used to calculate, analyze and evaluate the ranks of urban ecological security from 2003 to 2012. The overall regional ecological security of the Beijing-Tianjin-Hebei metropolitan region increased during those 10 years. However, as expected for the obvious increase in the ecological state security level, neither the ecological pressure security nor the response security level significantly changed. In addition, urban social and economic indicators contributed more to the ecological security assessment than did the natural resource indicators and environmental indicators.

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Section: Response Layer (R)mentioning

confidence: 99%

Section: Response Layer (R)mentioning

confidence: 99%

Section: Fuzzy Model For Index Evaluationmentioning

confidence: 99%

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Urban ecological security assessment for cities in the Beijing–Tianjin–Hebei metropolitan region based on fuzzy and entropy methods

Han

Liu

Wang

2015

Ecological Modelling

151

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“…The ecological footprint and carrying capacity have been considered to be two of the main criteria of sustainability [11][12][13] due to the simplicity of the comparison of EF and BC, which suggests a clear distinction between sustainability and unsustainability [14,15]. The EF-based method has been widely used at global [16,17], national [17][18][19], and local scales [20,21].…”

Section: Introductionmentioning

confidence: 99%

Evaluating the Sustainability of Nature Reserves Using an Ecological Footprint Method: A Case Study in China

et al. 2016

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Nature reserves are established to protect ecosystems and rare flora and fauna. However, with the rapid development of the social economy, many nature reserves are facing enormous pressures from human activities. The assessment of the sustainability of nature reserves is a fundamental task for the planning and management of such areas. In this study, the sustainability of China's 319 national nature reserves (NRRs) was evaluated based on an ecological footprint (EF) method. The results indicated that the per capita ecological footprints of all national nature reserves increased 85.86% from 2000 to 2010. Meanwhile, the per capita biocapacity (BC) of all national nature reserves increased slightly, with a rate of increase of 1.79%. The 'traffic light' method was adopted to identify the sustainability status of those national nature reserves. It was found that currently (2010) 45% of NRRs were in the condition of ecological deficit. In terms of dynamic changes in EF and BC, only 16% of NRRs were sustainable. The 124 national nature reserves that were in the red light state were mainly distributed in Anhui Province, Chongqing City, Hunan, Guizhou, Fujian, Shandong Province, and Inner Mongolia. The percentage of nature reserves at the red light state in these areas were 83. 3%, 66.7%, 64.7%, 62.5%, 58.3%, 57.1%, and 56.5%, respectively. The reserves in the red light state should be included in the priority concern level and should be strictly controlled in terms of population growth and the intensity of exploitation. The results of this study will provide more effective data for reference and for decision making support in nature reserve protection.

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“…Moreover, eco-security evaluation has close connections with ecosystem health evaluation, ecological risk evaluation, ecosystem service evaluation and ecological carrying capacity [8][9][10][11][12], and these ideas inform our work about the indicator of eco-security evaluation pattern, and ecological security monitoring and prediction. Evaluation methods, such as a mathematical model, ecological model, landscape ecological model and digital terrain model, are employed for the assessment of eco-security, but all have pros and cons [13][14][15][16][17][18]. In general, there is no universally accepted definition of ecological security, its parameters, and appropriate research methods, and also there has been no unified and well-recognized indicator system [19].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Urban Eco-Security—A Case Study of Mianyang City, China

Zhao

Zhou

2014

Sustainability

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Currently, a series of ecological environmental problems have been brought about by high-intensity intervention of human beings, and ecological security is regarded as one of the most important national survival strategies. A methodology of urban eco-security evaluation has been introduced, including a conceptual framework of pressure-state-response (PSR) model, setting-up of the indicator system of urban eco-security evaluation (ISUESE) and empirical research. By virtue of the mean-deviation method, the weight coefficient of every indicator is confirmed. It has been found that the top three indicators are: per capita area of paved road, per capita area of cultivated land and green coverage rate of built-up area, which has a relatively prominent status in he urban ecological security. A calculation procedure of fuzzy comprehensive evaluation (FCE) method is applied in empirical research. The Mianyang statistical data during the period of 2005-2012 shows that eco-security keeps a favorable trend, but criticality security and slight insecurity are dominant. It has also been found that insecurity membership degree (MD) of environment pressure accounts for a very large proportion of total pressure. Membership degrees of criticality security and security in environment state are increasing gradually, and as far as environment response is concerned, security is significantly increased.

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Development of an ecological security evaluation method based on the ecological footprint and application to a typical steppe region in China

Cited by 59 publications

References 29 publications

Urban ecological security assessment for cities in the Beijing–Tianjin–Hebei metropolitan region based on fuzzy and entropy methods

Urban ecological security assessment for cities in the Beijing–Tianjin–Hebei metropolitan region based on fuzzy and entropy methods

Evaluating the Sustainability of Nature Reserves Using an Ecological Footprint Method: A Case Study in China

Evaluation of Urban Eco-Security—A Case Study of Mianyang City, China

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