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.

The Land Use Sustainability in Xining which Based on Ecological Footprint Model

2014 ◽  
Vol 955-959 ◽  
pp. 1755-1759
Author(s):  
Cheng Ying Li ◽  
Zhi Qi Gong ◽  
Rui Ding ◽  
Ying Li ◽  
Bo Kun Chen
Keyword(s):  
Land Use ◽  
Carrying Capacity ◽  
Ecological Footprint ◽  
Land Development ◽  
Footprint Model ◽  
Ecological Carrying Capacity ◽  
Ecological Deficit ◽  
The Absolute

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 .

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.

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 Evaluation and Prediction of the Ecological Footprint and Ecological Carrying Capacity for Yangtze River Urban Agglomeration Based on the Grey Model

2018 ◽  
Vol 15 (11) ◽  
pp. 2543 ◽  
Author(s):  
Benhong Peng ◽  
Yuanyuan Wang ◽  
Ehsan Elahi ◽  
Guo Wei
Keyword(s):  
Carrying Capacity ◽  
Yangtze River ◽  
Ecological Footprint ◽  
Urban Agglomeration ◽  
Grey Model ◽  
The Yangtze River ◽  
The Sustainable Development ◽  
Ecological Carrying Capacity ◽  
Ecological Deficit ◽  
Per Capita

The conflict between economic development and environmental protection has become increasingly prominent in the urbanization process of the Yangtze River urban agglomeration, the most economically developed region in Jiangsu Province in China. In order to investigate the sustainable development status, and thus provide decision support for the sustainable development of this region, the ecological footprint model was utilized to evaluate and analyze the ecological footprint per capita, the ecological carrying capacity per capita, and the ecological deficit per capita for the period from 2013 to 2017. Furthermore, the Grey model is employed to predict the development trend of the ecological footprint for 2018 to 2022. The evaluation results show that the ecological footprint per capita has been increasing year by year since 2013, reaching a peak of 2.3897 hm2 in 2015 before declining again. In the same period, the available ecological carrying capacity per capita and the ecological footprint per capita basically developed in the same direction, resulting in an ecological deficit per capita and gradually increasing from 2013 to a peak of 2.0303 hm2 in 2015 before declining. It is also found that the change of ecological carrying capacity is not substantial, and the change of the ecological deficit is mainly caused by a huge change of the ecological footprint. The forecast results show that the ecological deficit per capita will reach 1.1713 hm2 in 2018, which will be another deficit peak after 2015. However, in the later period until 2022, the ecological deficit per capita will begin to decline year by year. These results can provide effective inspirations for reducing the ecological deficit of the Yangtze River urban agglomeration, thus promoting the coordinated development of the economy and environment in this area.

Analysis on Ecological Footprint and Bio-Capacity of Shandong in 2012

2014 ◽  
Vol 1010-1012 ◽  
pp. 722-725
Author(s):  
Hong Yu Jia ◽  
Jing Xu ◽  
Gao Sheng Zhang
Keyword(s):  
Carrying Capacity ◽  
Ecological Footprint ◽  
Ecological Carrying Capacity ◽  
Ecological Deficit ◽  
Per Capita ◽  
Statistical Yearbook

Based on the data of Shandong’ statistical yearbook-2013, Shandong’s ecological footprint (EF) and bio-capacity (BC) are calculated and analyzed. The ecological footprint is 4.594781 hm2per capita, the ecological carrying capacity is 0.995870 hm2per capita. Results show that Shandong is a region with a severe ecological deficit which comes up to 2.096052 hm2per capita .That means the development of Shandong is not sustainable.

scholarly journals Impacts of Urbanization of Mountainous Areas on Resources and Environment: Based on Ecological Footprint Model

2018 ◽  
Author(s):  
Yu Ding ◽  
Jian Peng
Keyword(s):  
Carrying Capacity ◽  
Ecological Footprint ◽  
Central City ◽  
Arable Land ◽  
Mountainous Area ◽  
Rapid Urbanization ◽  
Ecological Carrying Capacity ◽  
Ecological Deficit ◽  
Per Capita ◽  
The Impact

The rapid urbanization has exerted tremendous pressure on natural systems in mountains. As a measure of sustainable use of natural resources, ecological footprint is an important basis for judging whether the development of a country or region is within the biocapacity. Taking Dali Bai Autonomous Prefecture as an example, this study comprehensively analyzes the impact of human activities on mountain resources and environment from the three aspects of urbanization, land use and ecological carrying capacity. The results show that Dali Prefecture with the urbanization rate of 33% is still in the accelerated stage of urbanization. The urban space presents the core-periphery feature, and the central city is the focus of human existence and living activities. The per capita ecological footprint is 1.14 hm2/person higher than the ecological carrying capacity, meaning Dali Prefecture is in an ecological deficit state. This indicates that there is an uncoordinated state between urbanization and environment. Arable land is the main source of per capita ecological footprint in the prefecture. However, the urban expansion overly occupies the arable land in the plain sub-region, leading the arable land to an ecological deficit state. In the future, the development of the mountainous area should focus on the protection of arable land and choose a new sustainable path.

scholarly journals Improvement of Ecological Footprint Model in National Nature Reserve Based on Net Primary Production (NPP)

2018 ◽  
Vol 11 (1) ◽  
pp. 2 ◽  
Author(s):  
Xiaoman Liu ◽  
Jingying Fu ◽  
Dong Jiang ◽  
Jianwu Luo ◽  
Chenxi Sun ◽  
...  
Keyword(s):  
Carrying Capacity ◽  
Ecological Footprint ◽  
Net Primary Productivity ◽  
Net Primary Production ◽  
Spatial Scales ◽  
Nature Reserves ◽  
Human Consumption ◽  
Footprint Model ◽  
Ecological Carrying Capacity ◽  
Per Capita

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.

A Study on the Sustainability of Chinese Pasturing and Semi-Pasturing Grassland Based on Ecological Footprint Model

2014 ◽  
Vol 1073-1076 ◽  
pp. 2578-2582
Author(s):  
Chun Yang ◽  
Guo Gang Wang ◽  
Ming Li Wang
Keyword(s):  
Sustainable Development ◽  
Empirical Analysis ◽  
Carrying Capacity ◽  
Ecological Footprint ◽  
Ecological Environment ◽  
Footprint Model ◽  
Ecological Carrying Capacity ◽  
Ecological Protection ◽  
Per Capita ◽  
Small Growth

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.

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