College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541004, China.
Guangxi Key Laboratory of Spatial Information and Geomatics, Guilin University of Technology, Guilin 541004, China.
Int J Environ Res Public Health. 2023 Jan 22;20(3):2045. doi: 10.3390/ijerph20032045.
The land use and ecological risk patterns in Guilin, which is the only innovation demonstration zone under the National Sustainable Development Agenda in China with a focus on the sustainable use of natural resources, have changed significantly as a result of the combined impact of climate change and human activities, thus presenting challenges to the sustainable development of the local area. This research employs an ecological risk assessment model and spatial analysis techniques in order to analyze the spatial correlation between land use and ecological risk, and to evaluate the spatial and temporal evolution characteristics of ecological risk at the overall and county scales in Guilin. The results reveal the following: (1) A total of 1848.6 km land types in Guilin have changed from 2000 to 2020, and construction land has gradually expanded from the central urban area to the suburbs with increasing internal stability each year. (2) The ecological risk level in Guilin showed a decreasing trend at the city scale, but some regions still showed an increasing trend at the county distribution scale. (3) The ecological risk value in Guilin has significant spatial correlation, and the spatial distribution showed a clustering effect, which was consistent with the spatial distribution of ecological risk class areas. The research results can provide a reference for ecological risk control and sustainable development of landscape resource cities.
由于气候变化和人类活动的综合影响，中国唯一以自然资源可持续利用为主题的国家可持续发展议程创新示范区桂林的土地利用和生态风险格局发生了显著变化，对当地的可持续发展提出了挑战。本研究采用生态风险评估模型和空间分析技术，分析土地利用与生态风险的空间相关性，评估桂林整体和县域尺度生态风险的时空演变特征。结果表明：（1）2000 年至 2020 年，桂林共有 1848.6 公里土地类型发生变化，建设用地逐年从中心城市向郊区扩展，内部稳定性不断增强。（2）桂林的生态风险水平在城市尺度上呈下降趋势，但在县域分布尺度上仍有部分地区呈上升趋势。（3）桂林的生态风险值具有显著的空间相关性，空间分布呈现集聚效应，与生态风险等级区的空间分布一致。研究结果可为生态风险控制和景观资源城市的可持续发展提供参考。
