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空间自相关性视角下市(县)域尺度生态源地空间分布研究
柳清,陆明*
0
作者简介:
摘要:
研究城乡生态源地空间分布自相关性,耦合生态源地空间集聚效应进行市(县)域生态空间规划研究,能有效契合生态空间建设与保护的均衡性、连续性和完整性要旨,促进区域景观生态功能的改善。从地理要素空间分布自相关性角度出发,结合空间统计分析工具和地理探测器模型,分析不同等级生态源地空间分布整体和局部集聚特征以及趋向特征,并探析其空间自相关分异特征影响因素差异性作用。结果表明:研究区东部“热点”区呈大规模集聚、集中连片式的格局特征,西部“冷点”区呈小规模集聚、零星分散式的格局特征;东部“热点”区趋于居中趋向,西部“冷点”区趋于北偏西58°定向趋向;生态源地“冷点”区和“热点”区空间分布的影响因素作用强度存在差异。基于研究结果提出区域整体生态空间格局优化方向和不同时序的生态空间功能优化方法,拓展了风景园林生态规划理论与实践的研究内容。
关键词:  风景园林  景观生态学  空间自相关性  生态源地  空间分布特征  影响因素  地理探测器
DOI:
基金项目:
Study on Spatial Distribution of Ecological Source at City (County) Scale Based on Spatial Autocorrelation
LIU Qing,LU Ming
Abstract:
The study on the spatial distribution autocorrelation of urban and rural ecological sources, coupled with the effect of ecological sources spatial agglomeration to study the ecological spatial planning of city (county) region, can effectively agree with the balance, continuity and integrity of ecological spatial construction and protection and promote the improvement of regional landscape ecological function. From the point of view of spatial distribution autocorrelation of geographical elements, combined with spatial statistical analysis tools and geographical detector model, this study analyzes the spatial distribution characteristics of whole and local clusters and tendency characteristics of different levels of ecological sources and explores the difference function of influencing factors of spatial autocorrelation differentiation characteristics. The results show that the 'hot spots' in the eastern part of the study area are characterized by a pattern of large-scale concentration and contiguous pattern, while the 'cold spot' area in the west is characterized by the small scale gathering and scattered pattern; The 'hot spots' in the east tend to be centered, while the 'cold spots' in the west tend to be 58° north by west; The intensities of influence factors on the spatial distribution of "cold spot" area and "hot spot" area are different. Based on the results of the study, the direction of regional ecological spatial pattern optimization and the ecological spatial function optimization methods of different time series were proposed, which expanded the research content of landscape ecological planning theory and practice.
Key words:  landscape architecture  landscape ecology  spatial autocorrelation  ecological source  spatial distribution characteristic  influencing factor  geodetector

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