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生态学杂志 ›› 2012, Vol. 31 ›› Issue (01): 158-164.

• 研究报告 • 上一篇    下一篇

基于核密度估算的路网格局与景观破碎化分析

蔡雪娇1,2,4,吴志峰2,3**,程炯2   

  1. 1中国科学院广州地球化学研究所, 广州 510640;2广东省生态环境与土壤研究所, 广州 510650;3广州大学地理科学学院, 广州 510006;4中国科学院研究生院, 北京 100049
  • 出版日期:2012-01-08 发布日期:2012-01-08

Analysis of road network pattern and landscape fragmentation based on kernel density estimation. 

CAI Xue-jiao1,2,4, WU Zhi-feng2,3, CHENG Jiong2   

  1. 1Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China;2Guangdong Institute of Eco-environment and Soil Sciences, Guangzhou 510650, China;3School of Geographical Sciences, Guangzhou University, Guangzhou 510006, China;4Graduate Uniuersity of Chinese Academy of Sciences, Beijing 100049, China
  • Online:2012-01-08 Published:2012-01-08

摘要: 道路网络的发展是导致区域景观破碎化程度加剧的重要因素,如何定量表征道路网络特征及其破碎化效应是道路生态学的一个关键科学问题。本研究以珠江三角洲核心区为案例,采用核密度估算(KDE)结合道路密度指数方法,探讨了区域路网格局及其对景观破碎化的影响。结果表明:KDE法能有效识别和提取高密度路网热点区域;道路密度指数分析显示,道路密度与景观破碎化之间存在较强的相关性;道路密度与KDE法结合能突破传统基于行政边界计算道路密度的局限,为研究路网特征及其景观破碎化程度提供了一个很好的量化工具。

关键词: 灌溉方式, 稻米, 外观品质, 食用品质

Abstract: Landscape fragmentation resulting from the development of road network has become a hot issue in road ecology. To quantify the spatial pattern of road network and its cumulative effects on adjacent landscapes is essential for the assessment of ecological consequences of road construction.Taking the core area of Pearl River Delta in Guangdong Province of South China as a case and by using kernel density estimation (KDE) method and road density index, this paper approached to quantify the spatial pattern of road system and its correlations with landscape fragmentation. KDE method could effectively identify and collect the hot regions of high density road network. The analysis of road density index showed that there existed strong correlation between road density and landscape fragmentation. The combination of road density and KDE method could overcome the limitations of road density calculation based on administrative boundaries traditionally, providing a better quantitative tool to study the characteristics and landscape fragmentation of road network.

Key words: irrigation methods, rice, apparent quality, eating quality.