Conceptual Discrimination and Quantitative Estimation of Climate Carrying Capacity: A Case Study of China DOI Open Access
Xiaohan Li, Li‐Ting Wang,

Qinyuan Mei

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(5), P. 1770 - 1770

Published: Feb. 20, 2025

To address the conceptual ambiguity surrounding climate carrying capacity and lack of a unified quantitative assessment method, here we integrate existing concepts propose comprehensive evaluation framework for capacity, emphasizing threshold system’s to support human activities. Additionally, incorporates carbon resource production potential, wind solar potential as its four key components, employs vector modeling approach quantitatively evaluate temporal spatial variations in across China’s provinces, municipalities, autonomous regions from 1986 2020. The results reveal that most exhibited low coefficients variation index during study period, indicating an overall stable good further development. However, Beijing, Shanghai, Tianjin demonstrated exceptionally high variation, at 62.8%, 74.3%, 74.4%, respectively, warranting attention. Tibet, Xinjiang, Inner Mongolia significantly higher indices than other areas, whereas Ningxia, Hainan, Chongqing generally displayed lower indices. This enhances theoretical offers scientific foundation formulating sustainable development policies, promoting coordinated regional development, protecting environment, addressing change.

Language: Английский

Conceptual Discrimination and Quantitative Estimation of Climate Carrying Capacity: A Case Study of China DOI Open Access
Xiaohan Li, Li‐Ting Wang,

Qinyuan Mei

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(5), P. 1770 - 1770

Published: Feb. 20, 2025

To address the conceptual ambiguity surrounding climate carrying capacity and lack of a unified quantitative assessment method, here we integrate existing concepts propose comprehensive evaluation framework for capacity, emphasizing threshold system’s to support human activities. Additionally, incorporates carbon resource production potential, wind solar potential as its four key components, employs vector modeling approach quantitatively evaluate temporal spatial variations in across China’s provinces, municipalities, autonomous regions from 1986 2020. The results reveal that most exhibited low coefficients variation index during study period, indicating an overall stable good further development. However, Beijing, Shanghai, Tianjin demonstrated exceptionally high variation, at 62.8%, 74.3%, 74.4%, respectively, warranting attention. Tibet, Xinjiang, Inner Mongolia significantly higher indices than other areas, whereas Ningxia, Hainan, Chongqing generally displayed lower indices. This enhances theoretical offers scientific foundation formulating sustainable development policies, promoting coordinated regional development, protecting environment, addressing change.

Language: Английский

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