scholarly journals Author Correction: Development of a comprehensive assessment model for coral reef island carrying capacity(CORE-CC)

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Ming Chen ◽  
Fenzhen Su ◽  
Fei Cheng ◽  
Yu Zhang ◽  
Xuege Wang
2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Ming Chen ◽  
Fenzhen Su ◽  
Fei Cheng ◽  
Yu Zhang ◽  
Xuege Wang

AbstractCoral reef islands provide precious living space and valuable ecological services for human beings, and its sustainability cannot be ignored under the pressure of human activities. Carrying capacity (CC) assessment has gradually become an important means to measure sustainability of islands. However, there is little comprehensive evaluation of the carrying capacity of coral reef islands, and traditional evaluation methods are difficult to express the social-ecological characteristics of coral reef islands. The present paper proposes a comprehensive assessment model for coral reef island carrying capacity (CORE-CC) which comprises dimensions of resources supply, environmental assimilative, ecosystem services, and socio-economic supporting. According to the characteristics of the coral reef islands, the core factors and indicators of each dimension are selected and the corresponding assessment index system of "pressure-support" is constructed. The assessment involves (1) identification of carrying dimensions and core factors, (2) pressure/support measurement and (3) assessment of carrying state. A case study is conducted in Zhaoshu Island of China, demonstrating the applicability of CORE-CC model and serving as a reference for adaptive management.


2019 ◽  
Vol 233 ◽  
pp. 543-552 ◽  
Author(s):  
Fei Cheng ◽  
Fenzhen Su ◽  
Ming Chen ◽  
Qi Wang ◽  
Huiping Jiang ◽  
...  

Land ◽  
2019 ◽  
Vol 8 (4) ◽  
pp. 69 ◽  
Author(s):  
Kaiyuan Li ◽  
Xiaolong Jin ◽  
Danxun Ma ◽  
Penghui Jiang

The evaluation of resource and environmental carrying capacity (RECC) is the foundation for the rationale behind the arrangement of land spaces for production, living, and ecological uses. In this study, based on various natural, economic, and social factors, an integrated Multi-Factor assessment model was developed to evaluate the RECC of Xinbei district of Changzhou. Meanwhile, we also calculated the population carrying capacity estimation model restricted by food security. The study comprehensively analyzed the current status and land resource characteristics of a rapid urbanization area and the RECC restrictions for protection and development. The results indicate that the comprehensive carrying capacity of Xinbei showed distinct spatial heterogeneity, with a decreasing trend from the riverside protection area to urban areas, then to mountain areas. Combined with the secure food supply provided by future land resources, it was estimated that the population carrying index of Xinbei would be as high as 1.25 and 1.22 in 2035 and 2050, respectively, indicating that both years would experience a population overload. Therefore, an urgent adjustment to the structure and layout of territorial space and resources of the Xinbei District is necessary.


ICLEM 2010 ◽  
2010 ◽  
Author(s):  
Jinsong Gui ◽  
Junling Yu ◽  
Bingqing Meng ◽  
Nuo Wang ◽  
Shengde Li

2013 ◽  
Vol 321-324 ◽  
pp. 1347-1350
Author(s):  
Da Yang ◽  
Ying Wang ◽  
Xian Yong Xiao

Considering the complicated uncertainty of the occurrence of equipment failure and the serious level of its sequence due to voltage sags, this paper classifies the invalided samples into three categories. The corresponding uncertainty is measured by random entropy, fuzzy entropy and cross entropy respectively. A maximum hybrid entropy assessment model is proposed. Based on the quantitative assessments of equipment invalidation rates, the comprehensive assessment is carried out according to the corresponding weight. Compared with existing methods, the proposed method is able to overcome both over- and under-estimation problems, with the results in line with practice very well.


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