基于生态韧性的山水林田湖草沙一体化保护修复框架
Integrated protection and restoration framework for mountains-rivers-forests-farmlands-lakes-grasslands-sands based on ecological resilience
李强 1吕军骁1
作者信息
- 1. 首都经济贸易大学城市经济与公共管理学院,北京 100070
- 折叠
摘要
基于生态韧性内涵的山水林田湖草沙一体化保护修复是提升区域生态系统承载力和风险适应性的创新路径.本文阐述了生态韧性内涵与山水林田湖草沙生命共同体的特征,明确了 一体化生态修复同生态韧性内涵关联逻辑,构建了山水林田湖草沙一体化保护修复的韧性作用机制和"问题识别-要素分析-策略制定"研究框架.以石家庄市为例,识别了其水土流失、湿地萎缩等生态问题,明确流域单元关键生态要素,并基于石家庄市生态系统地理空间格局以及面临的生态风险,提出调田节水、生境修复、林草保育等保护策略.以期为推进山水林田湖草沙系统修复工作以及增强生态系统应对干扰的抵抗力和适应力提供支撑.
Abstract
Integrated protection and restoration of mountains-rivers-forests-farmlands-lakes-grasslands-sands based on ecological resilience is an innovative way to improve the carrying capacity and risk adaptability of regional ecosystems.In this paper,the connotation of ecological resilience and the characteristics of the life community of mountains-rivers-forests-farmlands-lakes-grasslands-sands are expounded,the connotation correlation between integrated ecological restoration and ecological resilience is clarified.The resilience mechanism of integrated conservation and restoration of mountains-rivers-forests-farmlands-lakes-grasslands-sands and the research framework of'problem identification,factor analysis and strategy formulation'are constructed,and taking Shijiazhuang as an example,ecological problems such as soil erosion and wetland shrinkage are identified,key ecological elements of basin units are defined.Protection strategies such as field transfer,water saving,habitat restoration,forest and grass conservation are proposed based on the geographic spatial pattern and ecological problems of the ecosystem in Shijiazhuang,providing support for promoting the restoration of mountains-rivers-forests-farmlands-lakes-grasslands-sands system and enhancing the resistance and adaptability of the ecosystem to cope with disturbances.
关键词
山水林田湖草沙/生态韧性/一体化保护修复/石家庄市Key words
Mountains-rivers-forests-farmlands-lakes-grasslands-sands/Ecological resilience/Integrated protection and restoration/Shijiazhuang City引用本文复制引用
基金项目
首都经济贸易大学青年学术创新团队项目(QNTD202209)
教育部哲学社会科学研究后期资助重大项目(19JHQ013)
北京市教育委员会科研计划一般项目(SM202210038016)
出版年
2024
NETL
NSTL
万方数据