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基于土地景观格局的重庆市永川区生态风险评价
苏英慧1, 邸晓慧1, 明弘2, 周宝同1,2
1.西南大学 地理科学学院, 重庆 400715;2.重庆市盛地土地经济研究院, 重庆 400000
摘要:
[目的] 分析重庆市永川区土地景观格局变化下的生态风险水平和时空变化规律,为该地区的土地结构优化和生态空间规划提供科学依据和理论基础。[方法] 以行政村为评价单元,利用拐点识别法确定适宜空间粒度,然后借助景观格局指数构建生态风险指数,同时运用空间自相关和冷热点分析永川区土地景观生态风险的时空变化。[结果] ①永川区景观格局的适宜空间粒度为60 m。②研究期间,永川区生态安全状况趋于好转,低等级风险区以茶山竹海街道为中心向东南、西南延伸,高等级风险区以五间镇、宝峰镇等为中心向外扩张。③生态风险全局Moran’s I值分别为0.447 2,0.444 6,0.372 2,呈正相关性,局部高高聚集区和热点区皆以团聚状分布于永川西北、西南和南部地区并有所扩张,低低聚集区和冷点区均以带状分布于茶山竹海街道等地并向东南延伸。[结论] 虽然永川区生态安全状况趋于好转,但城周与区界附近乡镇生态风险波动较大,应成为未来生态治理的重点区域。
关键词:  景观格局  生态风险  空间粒度  空间自相关
DOI:10.13961/j.cnki.stbctb.2020.03.028
分类号:X826
基金项目:国家社会科学基金重大项目“实行耕地轮作休耕制度研究”(15ZDC032)
Ecological Risk Assessment in Yongchuan District of Chongqing City Based on Landscape Pattern
Su Yinghui1, Di Xiaohui1, Ming Hong2, Zhou Baotong1,2
1.School of Geographical Sciences, Southwest University, Chongqing 400715, China;2.Institute of Shengdi Land Economic Research, Chongqing 400000, China
Abstract:
[Objective] The ecological risk level and its temporal and spatial evolution processes based on the change in the landscape pattern in Yongchuan District, Chongqing City were analyzed to provide a scientific and theoretical basis for the optimization of land structure and ecological spatial development.[Methods] Taking an administrative village as the study area, the inflection-point method was used to determine the suitable spatial grain. Subsequently, the landscape pattern index was incorporated to develop an ecological risk index. Furthermore, spatial autocorrelation and "hot spot" analysis were used to study the temporal and spatial evolution of the landscape ecological risk in Yongchuan District.[Results] ① The suitable spatial grain of the landscape pattern analysis in Yongchuan District was 60 m. ② During the study period, the ecological security situation of Yongchuan District improved. The low-level risk areas extended southeast and southwest around Chashanzhuhai Street, and the high-level risk areas expanded outward around Wujian and Baofeng Town. ③ The Moran's I values of the spatial distribution of ecological risk were 0.447 2, 0.444 6 and 0.372 2, which indicated the clustering of research units with similar ecological risk. The high-high aggregation defined as the hot spots was distributed in the form of clusters in the northwest, southwest, and south of Yongchuan District and had expanded. The low-low aggregation defined as the "cold spots" extended southeast with Chashanzhuhai Street in bands.[Conclusion] Although the ecological security situation in Yongchuan District was improving, the ecological risk of towns near the urban perimeters and administrative boundaries has fluctuated greatly. Thus, these areas should receive more attention in future ecological governance.
Key words:  landscape pattern  ecological risk  spatial grain  spatial autocorrelation