Assessing the sustainability of China's coastal regions: A perspective on local coupling and telecoupling

IF 2.6 3区 环境科学与生态学 Q2 ECOLOGY
Miao Hu , Yongtao Bian , Guangxing Ji
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引用次数: 0

Abstract

The transboundary flow of resource elements has resulted in unprecedented transfers of environmental and social impacts, inevitably influencing a region's environmental carrying capacity and sustainability. Consequently, evaluating the effects of both internal and external resource elements on regional sustainability is crucial for advancing sustainable development. This study distinguishes between internal and external resource elements that support the development of China's coastal areas, based on local coupling and telecoupling theories. It employs the emergy analysis method to assess the degree of dependence of these coastal areas on external resource elements, as well as the environmental loading pressures resulting from both internal and external resource elements and evaluates the sustainability of China's coastal regions. Furthermore, the spatial and temporal evolution characteristics of environmental load pressure were analyzed using the Local Indicators of Spatial Association time path, while the driving forces affecting sustainability were examined through the Logarithmic Mean Divis Index method. The results indicate that social development in China's coastal areas increasingly relies on external resource elements. In Hebei, Liaoning, and Shandong, the environmental load pressure primarily arises from the utilization of internal resources, whereas in Tianjin and Shanghai, it mainly stems from external resources. Overall, the sustainability of China's coastal areas is trending downward. Enhancing emergy intensity, promoting sustainable resource use, and reducing reliance on imported resources can contribute to improved sustainability. Finally, several actionable suggestions are provided.

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来源期刊
Ecological Modelling
Ecological Modelling 环境科学-生态学
CiteScore
5.60
自引率
6.50%
发文量
259
审稿时长
69 days
期刊介绍: The journal is concerned with the use of mathematical models and systems analysis for the description of ecological processes and for the sustainable management of resources. Human activity and well-being are dependent on and integrated with the functioning of ecosystems and the services they provide. We aim to understand these basic ecosystem functions using mathematical and conceptual modelling, systems analysis, thermodynamics, computer simulations, and ecological theory. This leads to a preference for process-based models embedded in theory with explicit causative agents as opposed to strictly statistical or correlative descriptions. These modelling methods can be applied to a wide spectrum of issues ranging from basic ecology to human ecology to socio-ecological systems. The journal welcomes research articles, short communications, review articles, letters to the editor, book reviews, and other communications. The journal also supports the activities of the [International Society of Ecological Modelling (ISEM)](http://www.isemna.org/).
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