Li Yongping,Zhao Xiaoyan,Tan Shucheng,et al.Spatial and Temporal Evolution of Vegetation Cover and Driving Forces in the Urban Agglomeration of South Sichuan Province[J].Research of Soil and Water Conservation,2024,31(05):399-409.[doi:10.13869/j.cnki.rswc.2024.05.005]
川南城市群植被覆盖度时空演变及驱动力
- Title:
- Spatial and Temporal Evolution of Vegetation Cover and Driving Forces in the Urban Agglomeration of South Sichuan Province
- 文章编号:
- 1005-3409(2024)05-0399-11
- 分类号:
- Q948
- 文献标志码:
- A
- 摘要:
- [目的]探究川南城市群植被覆盖度时空演变规律,并分析其驱动机制,以期为推动长江上游生态环境保护和社会经济可持续发展提供参考和决策依据。[方法]以植被覆盖度为研究对象,采用变异系数和线性回归研究方法分析了2001—2021年川南城市群植被变化时空演变特征,并采用地理探测器模型探究了其影响因素。[结果](1)川南城市群植被覆盖度整体状况良好,植被覆盖度为0.4以上的区域占比为71.74%。植被覆盖度变化以低波动为主,占比为78.16%。植被退化趋势显著,占比为8.89%。(2)各驱动因子对植被覆盖度影响程度降序排列为高程>土地利用类型>年均气温>坡度>人口密度>GDP>城镇化率>年均蒸散发>年均降水量>坡向。其中,前6个因子的解释力q值均大于16%,是影响植被覆盖度变化的主要驱动因子。(3)任意两个因子交互关系以双因子增强和非线性增强为主,其中高程与土地利用类型交互的q值最大,为0.369。(4)当高程1 200～1 400 m、年均气温12.15～15.16 ℃、坡度32°～35°、人口密度小于22.31人/km2、GDP为122～1 221元/km2以及土地利用类型为林地时,最适宜植被生长。[结论]2001—2021年川南城市群植被覆盖度整体状况良好,地形地貌、气象条件和社会经济因素均对区域植被变化产生显著影响。
- Abstract:
- [Objective]The aims of this study are to explore the spatial and temporal evolution patterns of vegetation cover in the urban agglomeration of southern Sichuan, to analyze its driving mechanism, and to provide reference and decision-making basis for promoting ecological environmental protection and sustainable socioeconomic development in the upper reaches of the Yangtze River. [Methods]The vegetation cover was taken as the research object. The coefficient of variation and linear regression research methods were used to analyze the spatial and temporal evolution characteristics of the vegetation change in the urban agglomeration of south Sichuan from 2001 to 2021, and the geographic detector model was used to explore the influencing factors. [Results](1)The overall condition of vegetation cover in the south Sichuan urban agglomeration was good, and the proportion of areas with vegetation cover of 0.4 or more was 71.74%. The change of vegetation cover was dominated by low fluctuation, accounting for 78.16%. The trend of vegetation degradation was significant, accounting for 8.89%.(2)The degree of influence of each driving factor on vegetation cover was ranked in descending order:elevation>land use type>average annual temperature>slope>population density>GDP>urbanization rate>average annual evaporation>average annual precipitation>aspect. Among them, the explanatory power q-values of the first six factors were all greater than 16%, which were the main driving factors affecting the change of vegetation cover.(3)Any two-factor interactions were dominated by two-factor enhancement and nonlinear enhancement, in which the q value of the interaction between elevation and land use type was the largest, 0.369.(4)When the elevation was 1 200 to 1 400 m, the mean annual temperature was 12.15 to 15.16 ℃, the slopes were 32° to 35°, the population density was less than 22.31 people/km2, the GDP was 122 to 1 221 yuan/km2 and when the land use type was woodland, the vegetation was most suitable. [Conclusion]The overall condition of vegetation cover in the south Sichuan urban agglomeration from 2001 to 2021 was good, and topography, meteorological conditions and socioeconomic factors all had a significant impact on regional vegetation changes.
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备注/Memo
收稿日期:2023-10-11 修回日期:2023-11-01
资助项目:国家自然科学基金项目(41872089); 云南省教育厅科学研究资助项目(2021Y005); 内江师范学院校级青年项目(2022QN19)
第一作者:李永平(1990—),男,云南曲靖人,硕士,讲师,主要从事地理信息学、生态遥感及生态修复研究。E-mail:541138718@qq.com
通信作者:谈树成(1970—),男,河南光山人,博士,教授主要从事地理信息系统、地质灾害及矿床学研究。E-mail:shchtan@ynu.edu.cn