吐鲁番市生态系统服务及权衡协同关系研究
Research on the Trade-off and Synergy Relationship of Ecosystem Services in Turpan City,China
冶建明 1李肇旗 2谢斯琦2
作者信息
- 1. 石河子大学 农学院,新疆石河子 832003;同济大学 建筑与城乡规划学院,上海 200092
- 2. 石河子大学 农学院,新疆石河子 832003
- 折叠
摘要
采用生态服务当量法、相关性分析、热点分析以及聚类分析,探究吐鲁番市生态系统服务以及权衡与协同关系特征,并基于服务簇提出吐鲁番市生态系统优化管理建议,以期为合理规划区域生态资源和实现生态服务功能优化提供借鉴.研究结果表明,吐鲁番市生态系统服务价值空间上呈现"北高南低"的特征,时间上生态系统服务价值呈现减损趋势,服务价值变化与草地、林地和水域面积变化密切相关,生态系统服务表现为逐年减少的协同增益关系;吐鲁番市生态系统服务簇划分为生态提升区、生态涵养区、生态脆弱区、农作物生产区和生态保护区,区域应针对不同功能分区特点实施优化、提升及保护措施.
Abstract
In order to study the ecosystem services and trade-off synergistic relationships in Turpan City,the ecosystem service equivalent method,correlation analysis,hotspot analysis and cluster analysis were used to explore the characteristics of regional ecosystem service and trade-off and synergy,and to provide optimization suggestions based on service clusters.The results showed that:(1)The ecological service showed the characteristics of reduced loss,with a total loss of 191 million yuan.Grassland and unused land are the main land category providing ESV,followed by water area and cultivated land.(2)Ecosystem services show a reduced synergistic gain relationship year by year.Individual service hotspots account for the highest proportion and cultural service hotspots;among multiple hotspots,the 0 hotspots have the highest proportion and the 3 hotspots have the lowest proportion,and the distribution of hot spots in Turpan is relatively stable.(3)Ecosystem service clusters in Turpan City are divided into 5 categories,with wide ecological improvement area and low service level;ecological conservation areas have ecological service supply capacity;ecological fragile areas are weak and sensitive to external response;crop production capacity and nutrient supply capacity;ecological protection area has the least proportion,balanced service supply capacity,good ecological base and high importance of ecological protection.
关键词
生态系统服务价值/权衡与协同关系/功能分区/吐鲁番市Key words
Turpan city/value of ecosystem service/trade-off and coordination/sectorization引用本文复制引用
出版年
2024
NETL
NSTL
万方数据