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长沙旅游发展对生态系统服务价值的空间效应研究

Study on the Spatial Effect of Tourism Development on Ecosystem Service Value in Changsha
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摘要 旅游发展是生态系统服务价值变化的重要驱动因素,探究旅游发展对生态系统服务价值的影响,可为合理规划旅游城市发展提供科学依据。以长沙市为例,综合运用当量因子法、核密度分析及总体耦合态势模型等方法,揭示旅游发展对长沙市生态系统服务价值的深刻影响。研究结果表明:(1)生态系统服务价值总量呈逐年下降趋势;(2)生态系统服务价值呈“四周高中间低”空间分异格局,低值区集聚于中部主城区,东西两侧为高值区;(3)旅游业形成团块状空间分布格局,呈现以主城区为核心带动周边发展的典型特征;(4)旅游休闲业态与生态系统服务价值的总体耦合态势不断减弱,存在显著空间负相关且不断加剧。 Tourism development is an important driving factor for the change of ecosystem service value.Exploring the impact of tourism development on the ecosystem service value can provide scientific basis for rational planning to the tourism city development.Taking Changsha as a case,this paper comprehensively used the equivalent factor method,kernel density analysis and overall coupling situation model to reveal the profound impact of tourism development on the ecosystem service value in Changsha.The results show as follows.(1)The total ecosystem service value decreases.(2)The ecosystem service value shows a spatial differentiation pattern of“high around and low in the middle”.The low value areas are concentrated in the central urban area,and the east and west sides are high value areas.(3)The tourism industry forms a agglomerate spatial distribution pattern,showing the typical characteristics of driving the development of surrounding tourism with the main urban area as the core.(4)The overall coupling trend between the tourism and leisure formats and the ecosystem service value is weakening,and there is a significant spatial negative correlation,and the negative effect is increasing.
作者 王雨菲 刘春腊 WANG Yu-fei;LIU Chun-la(College of Geographical Sciences,Hunan Normal University,Changsha 410081,China;Key Laboratory of Spatial Big Data Mining and Application in Hunan Province,Hunan Normal University,Changsha 410081,China)
出处 《湖南师范大学自然科学学报》 CAS 北大核心 2023年第6期21-30,共10页 Journal of Natural Science of Hunan Normal University
基金 湖南省自然科学基金资助项目(2022JJ30388) 湖南省社科成果评审委项目(XSP21YBC106)。
关键词 生态系统服务价值 旅游发展 时空耦合 双变量空间自相关 地理加权回归 ecosystem service value tourism development space-time coupling bivariate spatial autocorrelation geographically weighted regression
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