Spatiotemporal Evolution of Landscape Ecological Risk Based on Geomorphological Regionalization during 1980–2017: A Case Study of Shaanxi Province, China
Di Liu,
Hai Chen,
Hang Zhang,
Tianwei Geng and
Qinqin Shi
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Di Liu: College of Urban and Environmental Science, Northwest University, Xi’an 710127, China
Hai Chen: College of Urban and Environmental Science, Northwest University, Xi’an 710127, China
Hang Zhang: College of Urban and Environmental Science, Northwest University, Xi’an 710127, China
Tianwei Geng: College of Urban and Environmental Science, Northwest University, Xi’an 710127, China
Qinqin Shi: College of Urban and Environmental Science, Northwest University, Xi’an 710127, China
Sustainability, 2020, vol. 12, issue 3, 1-16
Abstract:
Land surface elements, such as land use, are in constant change and dynamically balanced, driving changes in global ecological processes and forming the regional differentiation of surface landscapes, which causes many ecological risks under multiple sources of stress. The landscape pattern index can quickly identify the disturbance caused by the vulnerability of the ecosystem itself, thus providing an effective method to support the spatial heterogeneity of landscape ecological risk. A landscape ecological risk model based on the degree of interference and fragility was constructed and spatiotemporal differentiation of risk between 1980 and 2017 in Shaanxi Province was analyzed. The spatiotemporal migration of risk was demonstrated from the perspective of geomorphological regionalization and risk gravity. Several conclusions were drawn: The risk of Shaanxi Province first increased and then decreased, at the same time, the spatial differentiation of landscape ecological risk was very significant. The ecological risk presented a significant positive correlation but the degree of autocorrelation decreased. The risk of the Qinba Mountains was low and the risk of the Guanzhong Plain and Han River basin was high. The risk of Loess Plateau and sandstorm transition zone decreased greatly and their risk gravities shifted to the southwest. The gravity of the Guanzhong Plain and Qinling Mountains had a northward trend, while the gravity of the Han River basin and Daba Mountains shifted to the southeast. In the analysis of typical regions, there were different relationships between morphological indicators and risk indexes under different geomorphological features. The appropriate engineering measures and landscape management for different geomorphological regionalization were suggested for effective reduction of ecological risks.
Keywords: landscape ecological risk; geomorphological regionalization; risk gravity; human interference; Shaanxi Province (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (7)
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