Research of Ecological Footprint Application in Foreign and China

2011 ◽  
Vol 356-360 ◽  
pp. 2256-2259
Author(s):  
Ying Li ◽  
Ting Ting Guo ◽  
Pan Pan Li

Ecological footprint model is the main method of evaluating ecological carrying capacity and currently the model has been widely used in foreign and China. According to three scale of global, nation and urban, the study cases of ecological application model application in foreign countries are introduced and according to three scale of China and province, city and county ,the study cases of ecological footprint model are described in China. Those study cases provide references for the application of ecological footprint model in Chinese small areas.

2013 ◽  
Vol 295-298 ◽  
pp. 987-991
Author(s):  
Guan Nan Cui ◽  
Xuan Wang

To improve the ecological footprint model in aspect of reflecting sustainability of the economic, social and technological, the emergy analysis and socio-economic system development index were introduced into the model. The modified ecological footprint model was applied in the calculation of ecological carrying capacity and ecological footprint in Tibet, China. The ecological carrying capacity/cap is 19.13hm2, and the ecological footprint/cap is 8.96hm2. The result shows that the Tibet region is under the condition of ecological surplus and it is suitable for further programs development to some extent. But the high proportion of energy resources, cement and fertilizer utility should draw attention during the exploitation or construction progress.


2014 ◽  
Vol 955-959 ◽  
pp. 1755-1759
Author(s):  
Cheng Ying Li ◽  
Zhi Qi Gong ◽  
Rui Ding ◽  
Ying Li ◽  
Bo Kun Chen

Based on ecological footprint model, this paper calculated the ecological footprint and the ecological carrying capacity and ecological surplus of 2000 ~ 2012 years in Xining,the results showed that the current land use in Xining City is the absolute ecological deficit,which indicate that the land development in Xining is being away from the sustainability .


2018 ◽  
Vol 11 (1) ◽  
pp. 2 ◽  
Author(s):  
Xiaoman Liu ◽  
Jingying Fu ◽  
Dong Jiang ◽  
Jianwu Luo ◽  
Chenxi Sun ◽  
...  

An increasing number of nature reserves are being invaded by various development and construction activities, such as energy, resources, and transportation facilities. The ecological footprint model, which enables a quantitative assessment of ecological sustainability, can assess whether human consumption at various spatial scales falls within the regenerative capacity of the biosphere. Based on the traditional ecological footprint evaluation model: the Global Agro-Ecological Zone (EF-GAEZ model), this study proposes an improved ecological footprint model based on net primary productivity (EF-NPP model) and its validations. In this study, the status of ecological footprints and the ecological carrying capacities of 319 national nature reserves in 2010 is explored, and the changes in ecological surpluses and ecological deficits from 2000 to 2010 are analyzed. The ecological footprint per capita and the ecological carrying capacity per capita calculated by the two models were mostly consistently at the same level (more than 68%), which indicated that the ecological footprint per capita and the ecological carrying capacity per capita of the two models followed the same rule. The EF-NPP model can reflect the change in the global climate, the degradation of the soil, and the progress of the technology.


2014 ◽  
Vol 1073-1076 ◽  
pp. 2578-2582
Author(s):  
Chun Yang ◽  
Guo Gang Wang ◽  
Ming Li Wang

China is a prairie giant, where available grassland area of pasturing and semi-pasturing areas account for 61.5% of national total grassland area. As China is paying more and more attention to ecological environment construction, pasturing and semi-pasturing areas become the key areas of grassland ecological protection, and the grassland sustainability status is attracting more and more attention. Based on ecological footprint model in this study, the relevant data from 2006 to 2013 are used for empirical analysis on per capita ecological footprint and per capita ecological carrying capacity of Chinese pasturing and semi-pasturing grassland. Results show that since 2006, per capita ecological footprint demand of Chinese pasturing and semi-pasturing grassland shows a small growth, while per capita ecological carrying capacity falls slightly. The pasturing and semi-pasturing areas generally present a sustainable development situation, and the per capita ecological surplus of grassland shows an overall growth, but falls slightly over the last two years. Therefore, it is still required to further strengthen the ecological protection of Chinese pasturing and semi-pasturing grassland.


2020 ◽  
Vol 12 (22) ◽  
pp. 9705
Author(s):  
Ye-Ning Wang ◽  
Qiang Zhou ◽  
Hao-Wei Wang

As one of the most developed and competitive metropolitan areas in the world, the contradiction between resource depletion and sustainable development in the Guangdong-Hong Kong-Macao Greater Bay Area (GHMGBA) has become a crucial issue nowadays. This paper analyzed the natural capital utilization patterns in GHMGBA during 2009–2016 based on a three-dimensional ecological footprint model. Ecological carrying capacity intensity (ECintensity) was calculated to optimize the accounting of ecological carrying capacity (EC). Ecological footprint depth (EFdepth) and ECintensity were quantitatively investigated and influencing factors were further explored based on a partial least squares (PLS) model. Results showed that GHMGBA had been operating in a deficit state due to the shortage of natural capital flow and accumulated stock depletion. The highest EFdepth occurred in Macao (17.11~26.21) and Zhongshan registering the lowest (2.42~3.58). Cropland, fossil energy and construction land constituted the most to total ecological deficit, while woodland was continuously in a slight surplus. Natural capital utilization patterns of 11 cities were divided into four categories through hierarchical clustering analysis. Driving factors of EFdepth, ECintensity and three-dimensional ecological deficit (ED3D) were mainly students in primary and secondary education, disposable income, consumption expenditure, R&D personnel and freight volume. Our findings could provide guidance for decision-makers to develop resource utilization portfolios in GHMGBA.


2014 ◽  
Vol 1010-1012 ◽  
pp. 1297-1300
Author(s):  
Yan Yan Kang ◽  
Jia Lin Wang ◽  
Xiao Dan Yu

Applying ecological footprint model to calculate the ecological footprint and ecological carrying capacity of Dongying ,a typical oil city between the year 2005-2009,the results showed that ecological footprint was deficit in recent years, and the trend had been exacerbated. The economic development of Dongying was in an ecologically unsustainable condition. Measures are put forward to facilitate the sustainable development in two aspects: the reduction of the ecological footprint demand such as industrial structure adjustment, low carbon industry system construction and green life pattern formation; the increase of ecological carrying capacity supply, such as rationally utilizing land and making full use of marine resources.


2011 ◽  
Vol 374-377 ◽  
pp. 105-108
Author(s):  
Li Ying ◽  
Ting Ting Guo ◽  
Pan Pan Li

The conception and study status of ecological footprint of water resource were summarized and the research of two ecological footprint model parameters, ie equilibrium factors and yield factors were analyzed and compared. On this basis, the calculation of ecological footprint model parameters of the Beijing urban water resources, ie balance factor and yield factor were proposed. Water balance factors of Beijing urban water resources and water yield per unit area and water yield factor of Beijing Fangshan, Pinggu, Yanqing were calculated, thus provide reference for appraisal of ecological carrying capacity of Beijing urban water resources.


2011 ◽  
Vol 356-360 ◽  
pp. 752-755
Author(s):  
Ying Li ◽  
Ting Ting Guo ◽  
Quan Yu Zhao

In this paper, the research start with two important parameters in the balance of factors and yield factors applied the ecological footprint model, select Beijing Fangshan, Pinggu and Yanqing as a research object, use the "Beijing Statistical Yearbook .2009" and the Beijing Municipal Land resources provided by the literature survey data to calculate the balance in Beijing's various land factor and Fangshan, Pinggu, Yanqing various types of land yield factor, and for the Beijing urbanization ecological carrying capacity guarantee.


2019 ◽  
Vol 11 (7) ◽  
pp. 2002 ◽  
Author(s):  
Yening Wang ◽  
Yuantong Jiang ◽  
Yuanmao Zheng ◽  
Haowei Wang

Under the concept of green development, accurately mapping ecological carrying capacity to effectively evaluate regional sustainability has already become an important issue in China. This study introduced ecological carrying capacity intensity (ECintensity) based on the revised three-dimensional ecological footprint (3DEF) model to describe the temporal–spatial patterns of three-dimensional ecological carrying capacity (EC3D) in Inner Mongolia in 2010–2016 and to explore factors affecting socioeconomic sustainable development. The results showed that ecological footprint size (EFsize) differed between cities/leagues but changed little during the study period. Ecological footprint depth (EFdepth) far exceeded the original value of 1.00. Ecological carrying capacity (EC) varied in cities/leagues, while ECintensity increased slowly with stronger potential for regional development. Three-dimensional ecological deficits (ED3D) of cities/leagues were divided into five categories: Hohhot, Hulunbuir and Banyannur were in larger ecological surplus; Hinggan was in slight surplus; Baotou, Chifeng, Tongliao, Ulanqab, Xilin Gol and Erdos were in slight deficit; Wuhai was in stronger deficit; and Alxa was in severely intense deficit. Woodland of cities/leagues was continuously in slight ecological surplus, while cropland and grassland had crucial impacts on deficit. There was a significant positive linear correlation between gross domestic product (GDP) and footprint, while a negative correlation was seen with deficit. These results would help coordinate resource utilization and industrial structure adjustment in Inner Mongolia.


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