生态学杂志2024，Vol.43Issue(3)：851-860,10.DOI:10.13292/j.1000-4890.202403.007
基于耦合协调度模型的黄土高原生态环境质量测度及预测
Measurement and prediction of eco-environmental quality on the Loess Plateau based on coupled coordina-tion degree model
摘要
Abstract
As a basis of ecological civilization construction,the assessment of eco-environmental quality is of great significance for adapting to climate change and reasonably developing and protecting eco-environment.Based on vegetation coverage,terrain index and population distribution,and ecological elasticity limit derived from MODIS and land use dataset from 2000 to 2020,we assessed the evolution of environmental carrying capacity of the Loess Plateau with highly fragile eco-environment.The coupling coordination degree model was used to comprehensively characterize the regional eco-environment.A standard deviation ellipse method was used to investigate the change of center of gravity and the transfer path of coordination degree.Elman Neural Network with particle swarm optimiza-tion was used to predict the future trend of ecological environment.The results showed that since 2000,the environ-mental carrying capacity of the Loess Plateau exhibited a spatial pattern with higher in the southeast and lower in the northwest,and the index increased slowly with a rate of 0.0625 per year.The ecological elasticity limit was con-sistent with land use pattern,and the index exponentially ascended with a low level.The coupled coordinate coeffi-cient changed from slight discordance to primary coordination.The core of coupled coordination degree shifted to southeast and exhibited a spatial pattern with centripetal aggregation in the northeast-southwest direction and diffu-sion in northwest-southeast direction.It is predicted that the system coupling coordination degree of environmental carrying capacity and ecological elasticity limit will increase steadily in 2030,which indicates that the eco-environ-mental quality of the Loess Plateau will gradually become coordinated in the future,but with significant difference in the growth rate of different regions.关键词
资源环境承载力/生态弹性限度/标准差椭圆/Elman神经网络/黄土高原Key words
environmental carrying capacity/ecological elasticity limit/standard deviation ellipse/Elman Neural Network/Loess Plateau引用本文复制引用
杨涛,党国锋..基于耦合协调度模型的黄土高原生态环境质量测度及预测[J].生态学杂志,2024,43(3):851-860,10.基金项目
国家自然科学基金项目(41971268)资助. （41971268）
