scholarly journals Ecological security assessment based on the renewable ecological footprint in the Guangdong-Hong Kong-Macao Greater Bay Area, China

2020 ◽  
Vol 116 ◽  
pp. 106432 ◽  
Author(s):  
Mingli Bi ◽  
Gaodi Xie ◽  
Cuiyou Yao
Keyword(s):  
Hong Kong ◽  
Ecological Footprint ◽  
Ecological Security ◽  
Security Assessment ◽  
Bay Area

scholarly journals Ecological Security Assessment Based on Ecological Footprint Approach in Hulunbeir Grassland, China

2019 ◽  
Vol 16 (23) ◽  
pp. 4805 ◽  
Author(s):  
Shanshan Guo ◽  
Yinghong Wang
Keyword(s):  
Ecological Footprint ◽  
Diversity Index ◽  
Northwest China ◽  
Ecological Environment ◽  
Ecological Security ◽  
Security Assessment ◽  
Stirpat Model ◽  
Continuous Increase ◽  
Continuous Growth ◽  
Per Capita

Hulunbeir grassland, as a crucial ecological barrier and energy supply base in northwest China, suffers from a fragile ecological environment. Therefore, it is crucially important for Hulunbeir grassland to achieve the sustainable development of its social economies and ecological environments through the evaluation of its ecological security. This paper introduces the indexes of the ecological pressure index (EPI), ecological footprint diversity index (EFDI), and ecological coordination coefficient (ECC) based on the ecological footprint model. Furthermore, the Stochastic Impacts by Regression on Population, Affluence, and Technology (STIRPAT) model was applied to analyze the main driving factors of the change of the ecological footprint. The results showed that: The ecological footprint (EF) per capita of Hulunbeir grassland has nearly doubled in 11 years to 11.04 ha/cap in 2016, while the ecological capacity (EC) per capita was rather low and increased slowly, leading to a continuous increase of per capita ecological deficit (ED) (from 5.7113 ha/cap to 11.0937 ha/cap). Within this, the footprint of fossil energy land and grassland contributed the most to the total EF, and forestland and cropland played the major role in EC. The EPI increased from 0.82 in 2006 to 1.25 in 2016, leading the level of ecological security to increase from level 3 (moderately safe) to level 4 (moderately risky). The indexes of the EFDI and ECC both reached a minimum in 2014 and then began to rise, indicating that Hulunbeir steppe’s ecological environment, as well as its coordination with economy, was considered to be worse in 2014 but then gradually ameliorated. The STIRPAT model indicated that the main factors driving the EF increase were per capita GDP and the proportion of secondary industry, while the decrease of unit GDP energy consumption played an effective role in curbing the continuous growth of the EF. These findings not only have realistic significance in promoting the coordinated development between economy and natural resource utilization under the constraint of fragile environment, but also provide a scientific reference for similar energy-rich ecologically fragile regions.

scholarly journals Ecological Security Evaluation and Spatial-temporal Evolution Characteristics of Natural Resources Based on Wind-Driven Optimization Algorithm------A case study of Guangdong-Hong Kong-Macao Greater Bay Area

2021 ◽  
Author(s):  
Xiaoling Ke ◽  
wei shi ◽  
Chang Yang ◽  
Haixiang Guo ◽  
Amal Mougharbel
Keyword(s):  
Hong Kong ◽  
Natural Resources ◽  
Optimization Algorithm ◽  
Evaluation System ◽  
Sustainable Urban Development ◽  
Security Evaluation ◽  
Security Level ◽  
Ecological Security ◽  
Bay Area ◽  
The Impact

As a complex system, the urban natural resources system comprises water, land, forest, and air resources. Natural resources are the essential elements of economic and social development and the source of sustainable urban development. However, there are few articles which regard different natural resources as a comprehensive system to evaluate. This study aimed to reveal the patterns of natural resources and highlight the impact of natural resource subsystem. Firstly, this study establishes the ecological security evaluation system of natural resources based on the “Driving Force-Pressure-State-Response” model. Secondly, we use the Wind-Driven Optimization algorithm to optimize the Projection Pursuit model to calculate the value of ecological security level and the comprehensive value of ecological security in Guangdong-Hong Kong-Macao Greater Bay Area (2013-2018). The temporal characteristics and spatial layout of natural resources ecological security, the impact of mechanism of water, land, forest, and air resources subsystems on natural resources ecological security were assessed. The results shows that the ecological security level of natural resources in nine cities of Guangdong-Hong Kong-Macao Greater Bay Area is on the rise as a whole from 2013 to 2018. However, the ecological security level in the central region of the Greater Bay Area is low, which is directly related to the severe environmental pollution of its water and air resources. The results are basically consistent with the actual situation, which can provide a reference for the ecological security evaluation of natural resources in other urban agglomerations.

scholarly journals Protection Effect and Vacancy of the Ecological Protection Redline: A Case Study in Guangdong–Hong Kong–Macao Greater Bay Area, China

2021 ◽  
Vol 13 (24) ◽  
pp. 5171
Author(s):  
Xiuming Wang ◽  
Youyue Wen ◽  
Xucheng Liu ◽  
Ding Wen ◽  
Yingxian Long ◽  
...  
Keyword(s):  
Hong Kong ◽  
Carbon Sequestration ◽  
Large Scale ◽  
Ecological Security ◽  
Hotspot Analysis ◽  
Protection Effect ◽  
Ecological Connectivity ◽  
Ecological Corridors ◽  
Bay Area ◽  
Ecological Protection

The Ecological Protection Redline (EPR) is an innovative measure implemented in China to maintain the structural stability and functional security of the ecosystem. By prohibiting large-scale urban and industrial construction activities, EPR is regarded as the “lifeline” to ensure national ecological security. It is of great practical significance to scientifically evaluate the protection effect of EPR and identify the protection vacancies. However, current research has focused only on the protection effects of the EPR on ecosystem services (ESs), and the protection effect of the EPR on ecological connectivity remains poorly understood. Based on an evaluation of ES importance, the circuit model, and hotspot analysis, this paper identified the ecological security pattern in Guangdong–Hong Kong–Macao Greater Bay Area (GBA), analyzed the role of EPR in maintaining ES and ecological connectivity, and identified protection gaps. The results were as follows: (1) The ecological sources were mainly distributed in mountainous areas of the GBA. The ecological sources and ecological corridors constitute a circular ecological shelter surrounding the urban agglomeration of the GBA. (2) The EPR effectively protected water conservation, soil conservation, and biodiversity maintenance services, but the protection efficiency of carbon sequestration service and ecological connectivity were low. In particularly, EPR failed to continuously protect regional large-scale ecological corridors and some important stepping stones. (3) The protection gaps of carbon sequestration service and ecological connectivity in the study area reached 1099.80 km2 and 2175.77 km2, respectively, mainly distributed in Qingyuan, Yunfu, and Huizhou. In future EPR adjustments, important areas for carbon sequestration service and ecological connectivity maintenance should be included. This study provides a comprehensive understanding of the protection effects of EPR on ecological structure and function, and it has produced significant insights into improvements of the EPR policy. In addition, this paper proposes that the scope of resistance surface should be extended, which would improve the rationality of the ecological corridor simulation.

Assessment of the Ecological Security of the Coastal Zone of the Guangdong/Hong Kong/Macao Greater Bay Area

2020 ◽  
Vol 102 (sp1) ◽  
Author(s):  
Wenjing Zhao ◽  
Guirong Zhao ◽  
Jing Yang ◽  
Min Xu ◽  
Jiefeng Kou
Keyword(s):  
Hong Kong ◽  
Coastal Zone ◽  
Ecological Security ◽  
Bay Area

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.

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