%0 Journal Article
%T 基于InVEST模型的滇中城市群生境质量时空演变分析
Spatial and Temporal Evolution Analysis of Habitat Quality of Central Yunnan Urban Agglomeration Based on InVEST Model
%A 蔡维扬
%A 牛福长
%J Geographical Science Research
%P 507-519
%@ 2168-5770
%D 2023
%I Hans Publishing
%R 10.12677/GSER.2023.124047
%X 研究城市群的生境质量可以较好的揭示当地的生物多样性以及生态服务水平,为维护生态系统平衡与经济发展提供依据。本文以滇中城市群为例,使用2005年至2020年的土地利用数据,运用InVEST模型分析滇中城市群的生境质量时空演变特征。结果表明:(1) 由于快速城镇化和工业化导致土地利用的急速变化与生境质量水平的分布及其变化具有高度相关性;(2) 2005年至2020年期间,滇中城市群生境质量先升后降,总体呈下降趋势;(3) 2005年至2015年生境质量整体稳定,而2015年至2020年,生境退化度、生境质量、生境质量分级出现了显著的变化,生境质量0值区面积逐渐扩大。对此,滇中城市群应该合理规划城市扩张,进一步提高广大生态空间的生境质量,协调城市群的社会经济发展与生态文明建设。
The study of habitat quality in urban agglomerations can better reveal the local biodiversity and ecological service levels, and provide a basis for maintaining the balance of ecosystems and economic development. This paper uses land use data from 2005 to 2020 to analyse the spatial and temporal evolution of habitat quality in the Central Yunnan urban agglomeration using the InVEST model. The results show that: (1) the rapid changes in land use due to rapid urbanisation and industrialisation are highly correlated with the distribution of habitat quality levels and their changes; (2) habitat quality in the Central Yunnan Urban Agglomeration rises and then falls between 2005 and 2020, with an overall decreasing trend; (3) habitat quality is stable overall from 2005 to 2015, while from 2015 to 2020, habitat degradation, habitat quality and habitat quality grading showed significant changes, and the area of the habitat quality 0 value zone gradually expanded. Therefore, the Central Yunnan Urban Agglomeration should plan urban expansion rationally to further improve the habitat quality of the vast ecological space and coordinate the socio-economic development of the urban agglomeration with the construction of ecological civilization.
%K 滇中城市群,生境质量,InVEST模型
Central Yunnan Urban Agglomeration
%K Habitat Quality
%K InVEST Model
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=70673