高艳, 毕如田, 曹毅. 空间粒度变化及土地利用分类对景观指数的影响——以山西省闻喜县为例[J]. 中国生态农业学报(中英文), 2010, 18(5): 1076-1080. DOI: 10.3724/SP.J.1011.2010.01076
引用本文: 高艳, 毕如田, 曹毅. 空间粒度变化及土地利用分类对景观指数的影响——以山西省闻喜县为例[J]. 中国生态农业学报(中英文), 2010, 18(5): 1076-1080. DOI: 10.3724/SP.J.1011.2010.01076
GAO Yan, BI Ru-Tian, CAO Yi. Effect of changing spatial grain size and land-use classification on landscape index — A case study of Wenxi County, Shanxi Province[J]. Chinese Journal of Eco-Agriculture, 2010, 18(5): 1076-1080. DOI: 10.3724/SP.J.1011.2010.01076
Citation: GAO Yan, BI Ru-Tian, CAO Yi. Effect of changing spatial grain size and land-use classification on landscape index — A case study of Wenxi County, Shanxi Province[J]. Chinese Journal of Eco-Agriculture, 2010, 18(5): 1076-1080. DOI: 10.3724/SP.J.1011.2010.01076

空间粒度变化及土地利用分类对景观指数的影响——以山西省闻喜县为例

Effect of changing spatial grain size and land-use classification on landscape index — A case study of Wenxi County, Shanxi Province

  • 摘要: 以山西省闻喜县为例, 利用该县1∶10 000土地利用现状图作为数据源, 应用GIS技术以及景观格局软件Fragstats, 研究了土地利用类型数不同时景观格局指数的空间粒度效应和不同粒度下土地利用类型数对景观指数的影响。结果表明: 随粒度增加, 斑块密度、景观形状指数、景观聚集度呈逐渐下降趋势, 且下降幅度逐渐减小, 周长面积比分维数总体呈上升趋势, 最大斑块指数和Shannon多样性指数无明显变化。随土地利用类型数目的增多, 斑块密度、景观形状指数、Shannon多样性指数呈阶梯式上升趋势, 最大斑块指数呈阶梯式下降趋势, 周长面积比分维数无明显变化, 景观聚集度的变化曲线比较复杂。

     

    Abstract: Using the 1∶10 000 land-use map of Wenxi County of Shanxi Province, GIS and the landscape pattern software Fragstats, the effect of spatial grain size on landscape indices of different land-use classification systems, and the effect of land-use classification system on the landscape indices under different spatial grain sizes were investigated. The results show that with increasing spatial grain size, patch density (PD), landscape shape index (LSI) and landscape contagion (CONTAG) gradually decline, whereas perimeter-area fractal dimensions (PAFRAC) increase. There is no significant change in the largest patch index (LPI) and Shannon diversity index (SHDI). With increasing number of land-use types, PD, LSI and SHDI increase, and LPI decreases. There is no significant change in PAFRAC, and the landscape contagion curve changes rather complicated.

     

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