Calculation of sensitive factors in ecologically sensitive areas of plateau: comprehensive evaluation of ecological carrying capacity

Wang, Mengwen

doi:10.1007/s13204-021-02057-2

Cited by 6 publications

(2 citation statements)

References 13 publications

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“…From the perspective of urban construction and planning, it can be considered the maximum capacity of a land resource system to carry the population or human activities, against the background of urban renewal. The concept of the comprehensive carrying capacity of land is more inclined to reveal the development scale and construction intensity of various human activities that urban land resources can carry [22]. The concept of land carrying capacity originates from the concept of carrying capacity in physics, which refers to the maximum load that an object can carry without any damage.…”

Section: Concept and Development Of Land Carrying Capacitymentioning

confidence: 99%

Analysis of the Driving Mechanism of Land Comprehensive Carrying Capacity from the Perspective of Urban Renewal

Tang

Yuan

Tian

2023

Land

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After a period of rapid development, the process of urbanization in China has gradually shifted from “scale expansion” to “enhanced quality”. The scarcity of urban land resources has created constraints on resources and economic development. This paper examines the carrying capacity of urban land resources from the perspective of urban renewal. A conceptual model of the driving mechanism of land comprehensive carrying capacity is constructed, incorporating six dimensions and 22 indicators, including urban renewal and urban ecology. Through questionnaire surveys and structural equation modeling, feedback data are analyzed, and measurement models, structural models, and mediation effects are examined to analyze the causal paths of factors in different dimensions on the comprehensive carrying capacity of urban land. The research results indicate that all six dimensions in the conceptual model have a direct positive impact on the land carrying capacity. In terms of direct effects, the influencing factors are ranked in descending order of magnitude as follows: urban development, urban disaster prevention and mitigation capacity, infrastructure development, urban renewal, social economy, and urban ecology. In terms of overall effects, factors are ranked in descending order of magnitude as follows: urban development, social economy, urban ecology, urban renewal, urban disaster prevention and mitigation capacity, and infrastructure development.

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Section: Concept and Development Of Land Carrying Capacitymentioning

confidence: 99%

Analysis of the Driving Mechanism of Land Comprehensive Carrying Capacity from the Perspective of Urban Renewal

Tang

Yuan

Tian

2023

Land

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“…Included in these approaches are natural vegetation net primary productivity estimation method, system dynamics [27], remote sensing (RS), and geographic information system (GIS) analysis [24,28]. Combined with GIS, an approach using methods, such as the entropy method [29], the principal component analysis method [30], gives weights to indicators that can utilize to analyze the evolutionary characteristics of UECC, the degree of coupling and coordination between UECC, human capital as well as the economy, and to examine the influence path of a certain factor on UECC from space and time dimensions to a certain country, urban agglomerations [31][32][33], provinces and cities [34][35][36], and a specific area [37]. There is a certain reference significance for scientific decision-making and proper policy implementation.…”

Section: Literature Reviewmentioning

confidence: 99%

Research on the Influencing Factors of Urban Ecological Carrying Capacity Based on a Multiscale Geographic Weighted Regression Model: Evidence from China

Liu

Xie

Zhou

2021

Land

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Based on the comprehensive evaluation method, a comprehensive urban ecological carrying capacity (UECC) evaluation system is established. It includes ecological support, ecological resilience, and ecological pressure. Multiscale geographically weighted regression (MGWR) was used to conduct a thorough examination of the spatial and temporal patterns, and the factors that influenced the UECC of 286 prefecture-level cities in China from 2010 to 2019. The results show that (1) China’s UECC index ranges from 0.0233 to 0.2811 in 2019, which is still at a low level. (2) The spatial distribution is relatively stable: high-value agglomerations of UECC are distributed primarily in the Yangtze River Delta and Pearl River Delta, while low-value agglomerations are primarily distributed in the regions in the Central Plains. (3) All influencing factors have a positive effect on the improvement of UECC and are heterogeneous in spatial distribution. Lastly, this paper gives corresponding suggestions, so that governments can formulate differentiated policies and effectively improve UECC.

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Implementation of pollution source assessment and treatment strategy for plateau railway construction in China: an AHP-cloud model approach

Wang

Lin

Wang

et al. 2023

Environ Monit Assess

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Calculation of sensitive factors in ecologically sensitive areas of plateau: comprehensive evaluation of ecological carrying capacity

Cited by 6 publications

References 13 publications

Analysis of the Driving Mechanism of Land Comprehensive Carrying Capacity from the Perspective of Urban Renewal

Analysis of the Driving Mechanism of Land Comprehensive Carrying Capacity from the Perspective of Urban Renewal

Research on the Influencing Factors of Urban Ecological Carrying Capacity Based on a Multiscale Geographic Weighted Regression Model: Evidence from China

Implementation of pollution source assessment and treatment strategy for plateau railway construction in China: an AHP-cloud model approach

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