[1]Hu Yichuan,An Rui,Yang Jiaming,et al.Measurement and Driving Mechanism of Land Use Conflict Based on Landscape Pattern[J].Research of Soil and Water Conservation,2024,31(06):354-364.[doi:10.13869/j.cnki.rswc.2024.06.005]
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Measurement and Driving Mechanism of Land Use Conflict Based on Landscape Pattern
Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
31
Number of periods:
2024 06
Page number:
354-364
Column:
Public date:
2024-12-10
- Title:
- Measurement and Driving Mechanism of Land Use Conflict Based on Landscape Pattern
- Keywords:
- land use conflict; spatiotemporal differentiation; multi-scale geographical weighted regression; Wuhan metropolitan area
- CLC:
- F301.2
- DOI:
- 10.13869/j.cnki.rswc.2024.06.005
- Abstract:
- [Objective]The aims of this study are to accurately diagnose land use conflict areas in urban areas, to discuss the spatial heterogeneity and scale effects of natural and social factors on conflict, and to provide a basis for the coordinated development of territorial space. [Methods]Wuhan metropolitan area was taken as the research area. The landscape pattern index was used to comprehensively measure the intensity of land use conflicts in the three periods from 2000 to 2020 from the perspectives of complexity, vulnerability and stability, and to analyze its spatiotemporal evolution characteristics. At the same time, considering the natural and social factors such as slope, NDVI, distance from water and distance from road, the multi-scale geographical weighted regression model was used to reveal the driving mechanism after multi-model comparison. [Results](1)From 2000 to 2020, the out-of-control conflict zones(hot spots)in Wuhan metropolitan area were mainly distributed in the central and southern parts of the city(in Wuhan)and the northeast part(in the mountainous areas of Huanggang and Xianning), and the out-of-control proportion increased from 70.09% to 67.13% during the period.(2)Compared with OLS and GWR models, MGWR model had higher fitting accuracy, and the variable bandwidth allocated by each independent variable effectively captured the scaling effect.(3)Slope and distance from water area were local scale variables, and the spatial difference of action mechanism was large. Distance from road, NDVI, annual precipitation and average annual temperature were regional scale variables, and the spatial heterogeneity of regression coefficients was relatively weak. [Conclusion]The situation of regional conflicts in Wuhan metropolitan area had improved from 2000 to 2020. Paying attention to the spatial effects of the drivers of land use conflicts can provide empirical reference for the alleviation of land use conflicts and the optimization of management in Wuhan metropolitan area.
- References:
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Last Update:
2024-12-10