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基于GWR模型的道路对景观破碎化影响研究
Impacts of roads on landscape fragmentation base on GWR model
【摘要】 道路是影响区域景观破碎化的重要因素,但以往的研究往往忽视这种影响在局部空间上的差异。以惠州市为研究区,选取国道和省道作为城市主要道路,引入地理加权回归模型(GWR),通过道路距离与景观破碎度的关系分析城市主要道路对景观破碎化的影响,并揭示道路对景观破碎化影响的空间异质性。结果表明:(1)研究区的景观破碎化具有显著的空间集聚现象,使用GWR模型分析具有更好的拟合效果。(2)道路对不同类型景观的破碎化造成了不同的影响:在景观水平上,道路距离与景观破碎度主要呈正相关关系;在类型水平上,道路距离与林地破碎度主要呈正相关关系,与耕地和城乡建设用地破碎度主要呈负相关关系。(3)道路距离与景观破碎化的关系在不同的空间位置存在差异,正相关和负相关区域的分布均呈现明显的空间集聚特征。(4)两者关系的空间异质性反映出除了道路外,地形和所处位置到城市中心的距离对景观破碎化的共同影响。研究结果有利于进一步揭示道路对景观格局变化的影响机制。
【Abstract】 The development of roads is an important factor causing landscape fragmentation, but previous studies often neglected the local variations of this impact. In order to analyze the impact of roads on landscape fragmentation and reveal its spatial heterogeneity, Huizhou city was taken as a study case and geographically weighted regressions model(GWR) was used to investigate the relationship between road distance and landscape fragmentation degree. Results showed that:(1) Landscape fragmentation in the study area had significant spatial agglomeration phenomenon; the result of fitting parameters indicated a much better fit for the GWR model.(2)Impact of roads on fragmentation of each type of landscape was different: at the landscape level, road distance and landscape fragmentation were mainly positively correlated; at the class level, road distance and forest fragmentation were mainly positively correlated, while cultivated land and construction land fragmentation were negatively correlated with road distance.(3)The relationships between road distance and landscape fragmentation were varied in different places, and the distribution of positive correlation and negative correlation showed obvious spatial agglomeration characteristics.(4) The spatial heterogeneity of the relationship reflected the common influence of topography and positions relative to urban center on landscape fragmentation besides roads. The results of this study were helpful to further reveal the mechanism of road’s impacts on landscape pattern changes.
【Key words】 roads; landscape fragmentation; spatial heterogeneity; geographically weighted regression model; Huizhou city;
- 【文献出处】 生态科学 ,Ecological Science , 编辑部邮箱 ,2020年06期
- 【分类号】P901
- 【被引频次】8
- 【下载频次】424