Study on the gradient change of the landscape pattern in the Three Gorges Reservoir area by coupling the optimal grain size method and multidirectional gradient transect method

Analysis and prediction of urban ecological risk are crucial means for resolving the dichotomy between ecological preservation and economic development, thereby enhancing regional ecological security and fostering sustainable development. This study uses Nanning, a Chinese landscape garden city, as an example. Based on spatial granularity and extent perspectives, using 30 m land use data, the optimal scale for an ecological risk assessment (ERA) and prediction is confirmed. This study also explores the patterns of spatial and temporal changes in ecological risk in Nanning on the optimal scale. At the same time, the Patch-generating Land Use Simulation model is used to predict Nanning’s ecological risk in 2036 under two scenarios and to propose ecological conservation recommendations in light of the study results. The study results show that: a spatial granularity of 120 m and a spatial extent of 7 km are the best scales for ERA and prediction in Nanning. Although the spatial distribution of ecological risk levels is obviously different, the overall ecological risk is relatively low, and under the scenario of ecological protection in 2036, the area of high ecological risk in Nanning is small. The results can provide theoretical support for ERA and the prediction of landscape cities and ecological civilization construction.

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Ecological Risk Assessment and Prediction Based on Scale Optimization—A Case Study of Nanning, a Landscape Garden City in China

Chen

Yang

Feng

et al. 2023

Remote Sensing

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Landscape Pattern Evolution in a Mining City: An Urban Life Cycle Perspective

Shang¹,

Ye²,

Dong³

et al. 2022

Sustainability

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Quantitative studies on how mining activities shape the evolution of regional landscape patterns can contribute to the scientific understanding of how mining cities develop. Based on the theories of life cycle and landscape ecology, this paper takes Jixi, a typical Chinese mining city, as a case study to analyze the landscape pattern features at different mining city development stages. First, we constructed a mining city development cycle index system. Second, the optimal granularity for landscape pattern analysis was determined. Finally, landscape evolution was analyzed at the type and landscape levels based on the mining city development cycle. The main conclusions are: (1) Jixi has gone through four stages since 1990: lead-in (1990–1998), development (1998–2009), maturity (2009–2016), and transition (2016–2020); (2) the optimal grain size for landscape pattern analysis is 90 m; (3) through the various development stages, the landscape fragmentation degree, complexity, and diversity show a tendency to rise first and then fall. Thus, mining cities should carry out sustainable development planning from the perspective of industrial transformation in the early stages, and policy orientation in the development process should have different emphases according to each stage.

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Study on the gradient change of the landscape pattern in the Three Gorges Reservoir area by coupling the optimal grain size method and multidirectional gradient transect method

Cited by 2 publications

References 70 publications

Ecological Risk Assessment and Prediction Based on Scale Optimization—A Case Study of Nanning, a Landscape Garden City in China

Ecological Risk Assessment and Prediction Based on Scale Optimization—A Case Study of Nanning, a Landscape Garden City in China

Landscape Pattern Evolution in a Mining City: An Urban Life Cycle Perspective

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