Academic Journal of Environment & Earth Science, 2023, 5(1); doi: 10.25236/AJEE.2023.050106.
Kaiwen Xiao1,2, Cunlin Xin1,2, Ning Chen1,2, Haodong Liang1,2, Ruoyang Li1,2, Shunjie Xin1,3
1College of Geography and Environmental Science, Northwest Normal University, Lanzhou, China
2Key Laboratory of Resource Environment and Sustainable Development of Oasis, Lanzhou, China
3College of Architecture and Urban Planning, Lanzhou Jiaotong University, Lanzhou, China
A landscape ecological risk model was constructed to evaluate the landscape ecological risk pertaining to Lanzhou City based on the land use and land cover (LULC) changes obtained using remote sensing data for the years 2000, 2010, and 2020 covering the duration 2010–2020. Results show that during 2010–2020, the LULC types in Lanzhou City mainly comprised of cropland, grassland, and construction land. In terms of LULC changes in Lanzhou City the trend shows a decrease in cropland and increase in construction land with an increase in the fragmentation and separation of cropland, grassland, and shrubland, which is pronounced for cropland and shrubland. The spatial distribution pattern of ecological risk shows very high and very low levels of risk in the main urban area in the south and in the northwest of the city, respectively. From 2010 to 2020, the ecological risk level of the landscape shows a gradual increase with evidence for significant changes. The results of the study provide a scientific basis for the optimization of the landscape pattern, rational utilization and development of land resources in Lanzhou City, and lay a solid foundation for the formulation of ecological risk control measures.
land use and land cover change; landscape pattern; ecological risk assessment; spatiotemporal differentiation; Lanzhou City
Kaiwen Xiao, Cunlin Xin, Ning Chen, Haodong Liang, Ruoyang Li, Shunjie Xin. Landscape Ecological Risk Assessment during 2000–2020 Based on Land Use and Land Cover Changes in Lanzhou City. Academic Journal of Environment & Earth Science (2023) Vol. 5 Issue 1: 38-47. https://doi.org/10.25236/AJEE.2023.050106.
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