摘要
社会-生态系统恢复力的增强会使系统更具稳定性和抵抗性,对实现可持续发展至关重要。本文从社会、生态2个子系统构建滨海旅游地社会-生态系统恢复力综合评价指标体系,分析2010—2020年滨海114个城市的社会-生态系统时空演化特征以及障碍影响因子的识别。得出相关结论:研究时段内,社会-生态系统恢复力年际变化幅度较小,相对稳定,但也存在波动现象;2020年,排名前五位的是北京、上海、广州、珠海和杭州,较2010年,北京取代上海排名首位;滨海旅游地114个城市社会-生态系统恢复力呈现空间正相关,高值集聚区集中在长三角地区,低值集聚区集中在东北沿海;前三位障碍因子出现次数最多的是医院、卫生院床位数(SR5),其次是固定资产投资额(SR4)、节能环保支出(ER3)、工业氮氧化物排放量(EV2)、水资源总量(ER6)。
The enhancement of the resilience of the social-ecological system will make the system more stable and resistant, which is crucial to the realization of sustainable development. This paper constructs a comprehensive evaluation index system for the social-ecological system resilience of coastal tourist destinations from the social and ecological subsystems, and analyzes the spatio-temporal evolution characteristics of the social ecosystem of 114 coastal cities from 2010 to 2020, as well as the identification of obstacle influencing factors. The conclusions are as follows:(1) During the study period, the interannual variation of social ecosystem resilience is small and relatively stable, but there are also fluctuations;(2) In 2020, the top five are Beijing, Shanghai, Guangzhou,Zhuhai and Hangzhou. Compared with 2010, Beijing replaced Shanghai in the first place;(3) The resilience of the social life system of 114 coastal tourist destinations shows a positive spatial correlation. High value clusters are concentrated in the Yangtze River Delta, while low value clusters are concentrated in the northeast coast;(4) The number of beds in hospitals and health centers(SR5) appeared most frequently, followed by fixed asset investment(SR4), expenditure on energy conservation and environmental protection(ER3), industrial nitrogen oxide emissions(EV2) and total water resources(ER6).
作者
宓科娜
MI Kena(College of International Economics&Trade,Ningbo University of Finance&Economics,Ningbo 315175,China;Ningbo Key Research Base of Philosophy and Social Sciences,Ningbo 315175,China)
出处
《黑龙江环境通报》
2023年第1期11-15,共5页
Heilongjiang Environmental Journal
关键词
恢复力
社会-生态系统
时空特征
障碍因子
resilience
social-ecological system
spatio-temporal characteristics
obstacle factors
