scholarly journals Assessing the Ecological Carrying Capacity Based on Revised Three-Dimensional Ecological Footprint Model in Inner Mongolia, China

2019 ◽  
Vol 11 (7) ◽  
pp. 2002 ◽  
Author(s):  
Yening Wang ◽  
Yuantong Jiang ◽  
Yuanmao Zheng ◽  
Haowei Wang
Keyword(s):  
Carrying Capacity ◽  
Inner Mongolia ◽  
Ecological Footprint ◽  
Industrial Structure ◽  
Three Dimensional ◽  
Factors Affecting ◽  
Ecological Carrying Capacity ◽  
Green Development ◽  
Positive Linear Correlation ◽  
Industrial Structure Adjustment

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.

scholarly journals Assessing Ecological Carrying Capacity in the Guangdong-Hong Kong-Macao Greater Bay Area Based on a Three-Dimensional Ecological Footprint Model

2020 ◽  
Vol 12 (22) ◽  
pp. 9705
Author(s):  
Ye-Ning Wang ◽  
Qiang Zhou ◽  
Hao-Wei Wang
Keyword(s):  
Hong Kong ◽  
Carrying Capacity ◽  
Ecological Footprint ◽  
Natural Capital ◽  
Three Dimensional ◽  
Footprint Model ◽  
Ecological Carrying Capacity ◽  
Ecological Deficit ◽  
Bay Area ◽  
Utilization Patterns

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.

Sustainable Development Analysis of Resources Based City Based on Ecological Footprint Model: Shandong Dongying City

2014 ◽  
Vol 1010-1012 ◽  
pp. 1297-1300
Author(s):  
Yan Yan Kang ◽  
Jia Lin Wang ◽  
Xiao Dan Yu
Keyword(s):  
Sustainable Development ◽  
Carrying Capacity ◽  
Ecological Footprint ◽  
Industrial Structure ◽  
Low Carbon ◽  
The Sustainable Development ◽  
Footprint Model ◽  
Ecological Carrying Capacity ◽  
Life Pattern ◽  
Development Analysis

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.

Application of Modified Ecological Footprint Model: A Case Study of Tibet, China

2013 ◽  
Vol 295-298 ◽  
pp. 987-991
Author(s):  
Guan Nan Cui ◽  
Xuan Wang
Keyword(s):  
Economic System ◽  
Carrying Capacity ◽  
Ecological Footprint ◽  
System Development ◽  
Energy Resources ◽  
Emergy Analysis ◽  
Development Index ◽  
Footprint Model ◽  
Ecological Carrying Capacity

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.

Research on Sustainable Development of Ecology Based on Ecological Footprint Theory - Case Study of Liaocheng City in ShanDong Province

2013 ◽  
Vol 726-731 ◽  
pp. 4119-4122
Author(s):  
Hui Yu ◽  
Ying Bo Zhu
Keyword(s):  
Carrying Capacity ◽  
Environmental Sustainability ◽  
Ecological Footprint ◽  
Shandong Province ◽  
Ecological Carrying Capacity ◽  
Productive Land ◽  
Statistical Yearbook ◽  
The City ◽  
Consumption Demand

Ecological footprint theory is used to evaluate the eco-environmental conditions by calculating the area of regional productive land. The research would estimate the environmental sustainability of the lifestyle of residents in Liaocheng city using the ecological footprint as the indicator of consumption. At first, the related conceptions of ecological footprint will be introduced, then analysis the disparity between consumption demand and available supply on the basis on data from statistical yearbook of Shandong Province in 2011. The result shows that the ecological footprint exceeds 27.9 times of ecological carrying capacity which indicate that the city was in unsustainable situation in 2011.

Urban Ecological Territory Model: Discussion and Application

2011 ◽  
Vol 250-253 ◽  
pp. 3902-3908
Author(s):  
Meng Lin Qin ◽  
Wei Zheng ◽  
Bryce Bushman
Keyword(s):  
Carrying Capacity ◽  
Development Policy ◽  
Ecological Footprint ◽  
Ecological Model ◽  
Ecological Efficiency ◽  
Ecological Evaluation ◽  
New Model ◽  
Ecological Carrying Capacity ◽  
Two Cities ◽  
Urban Development Policy

The urban ecological territory model uses traditional ecological evaluation methods, such as ecological carrying capacity and ecological footprint, to create a new urban ecological model that uses a quantified spatial structure. This new model allows for the quantitative analysis of indicators such as ecological efficiency, quality, security, and fairness. The paper presents an example application of the model through a comparative analysis of two cities. Analyses using the new model can be used to guide urban development policy decisions.

Study on Ecological Footprint Calculation of Beijing Urban Animal Waste

2011 ◽  
Vol 356-360 ◽  
pp. 761-765
Author(s):  
Ying Li ◽  
Ting Ting Guo ◽  
Pan Pan Li
Keyword(s):  
Greenhouse Gas ◽  
Carrying Capacity ◽  
Ecological Footprint ◽  
Poultry Manure ◽  
Anaerobic Treatment ◽  
Animal Waste ◽  
Ecological Carrying Capacity ◽  
Treatment And Disposal

This article was based on Beijing treatment of urban Livestock and poultry manure, namely, composting and anaerobic treatment. According with the practical treatment and disposal and combining with the 2006 IPCC internationally cognition and greenhouse gas calculation that related scholars studied, ecological footprint calculation of Beijing urban animal waste was summarized and developed ,thus laid foundation for the study of Beijing urban ecological carrying capacity.

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