Predicting the minimum scale of urban ecological space based on socio-ecological systems analysis

Hong, Wuyang; Liao, Chuangchang; Guo, Ruifeng; An, Quntao; Li, Xiaoming; Ma, Tao

doi:10.1016/j.scitotenv.2022.160912

Cited by 10 publications

(1 citation statement)

References 28 publications

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“…A fair transition involves maximizing the social and economic opportunities of climate change action while minimizing and carefully addressing any challenges, including through effective social dialogue among all affected groups and respect for fundamental labor principles and rights. The International Labor Organization Guidelines for a Just Transition to Environmentally Sustainable Economies and Societies for All, adopted in 2022 by tripartite consensus, provide detailed recommendations in this regard [11]. In addition, these ideas are relevant to the Republic of Karakalpakstan.…”

Section: Haraldsson Et Al Indicate That Climate Change and Environmen...mentioning

confidence: 99%

Algorithm of Development for Stabilization of Socio-Ecological Situation in Karakalpakstan

Abdullaev

2024

QAJ

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The relevance of developing a scientific framework for stabilizing the socio-ecological situation of the Republic of Karakalpakstan is determined by the need to address the environmental, social and economic challenges faced by the region. It is designed to improve the population’s quality of life, sustainable development and balanced interaction with the environment. The purpose of the research was to establish the relationship between social and environmental factors, to establish a mathematical model based on them, which will enable predicting future development and establishing a set of recommendations to improve the situation in the Republic of Karakalpakstan. The methods of theoretical analysis and mathematical modelling were used. The research outlines modern ideas about modelling the dynamics of socio-ecological processes in the example of the Republic of Karakalpakstan. It is established that the Republic has several problems, the solution of which should be started shortly. Considerable attention is paid to the setting of tasks and using for this purpose methods of system analysis of socio-ecological factors. In this work, the analysis of factors affecting the social and environmental environment of the Republic of Karakalpakstan using regression analysis is considered. The parameters of the developed mathematical model and their adequacy are determined. The developed mathematical model will allow identification of the social and ecological situation of the republic. At the end of the work, ten priority points for the next 5-10 years to improve the socio-ecological situation were presented. The practical value of the results is implemented in promoting the identification of new powerful reserves for further improvement of the management of social processes. This approach allows for increasing the national economic efficiency of the region and ensuring a balance between economic, social and environmental aspects of development, which is an essential step towards a sustainable future.

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Section: Haraldsson Et Al Indicate That Climate Change and Environmen...mentioning

confidence: 99%

Algorithm of Development for Stabilization of Socio-Ecological Situation in Karakalpakstan

Abdullaev

2024

QAJ

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Diagnosis of the fragmentation of urban ecological network structure and its social‐ecological responses

Hong,

Liang,

Guo

et al. 2024

Ecological Applications

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The fragmentation of ecological network structures has become a common problem faced by cities. By establishing the urban ecological network under a specific socio‐ecological system framework, we aimed to propose a quantitative index to diagnose the fragmentation of the network structure, and to construct detection model to explore the driving factors and mechanism of the network fragmentation. Using Shenzhen City as an example, we used the Floyd–Prim algorithm to generate the skeleton structure of the ecological network and construct a density discontinuity index to diagnose network fragmentation. Combined with the ecological network scenario, social‐ecological system framework and a two‐layer indicator system were constructed. The detection models were then established to explore the drivers of network disruption and their mode of impact. The models show that the average degree of network fragmentation in Shenzhen was 0.13, and the density of about 85% of corridor discontinuities was greater than 0.01, reflecting the serious state of structural fragmentation. Corridors with more severe structural fragmentation have poorer social‐ecological coordination. The fragmentation in Shenzhen was mainly affected by the activities of actors (A) at the microlevel and the resource system (RS) at the macrolevel. The methods and the framework of socio‐ecosystem analysis proposed in this paper can reveal the driving factors and influence modes of network fragmentation, providing decision‐making reference for ecological restoration practice in urbanized areas.

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Using networks modeling for assessing the structure of socio-ecological systems based on the flow-space approach: a case study of Shenzhen, China

Hong,

Guo,

Zhao

et al. 2024

Reg Environ Change

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Predicting the minimum scale of urban ecological space based on socio-ecological systems analysis

Cited by 10 publications

References 28 publications

Algorithm of Development for Stabilization of Socio-Ecological Situation in Karakalpakstan

Algorithm of Development for Stabilization of Socio-Ecological Situation in Karakalpakstan

Diagnosis of the fragmentation of urban ecological network structure and its social‐ecological responses

Using networks modeling for assessing the structure of socio-ecological systems based on the flow-space approach: a case study of Shenzhen, China

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