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黔中喀斯特山地城市景观格局指数粒度效应——以安顺市为例

任梅1,王志杰2,王志泰1*,曾雨静1,何立影1   

  1. 1贵州大学林学院, 贵阳 550025;2贵州大学生命科学学院, 贵阳 550025)
  • 出版日期:2018-10-10 发布日期:2018-10-10

Grain size effect of karst mountainous urban landscape pattern indices in the central Guizhou: A case study of Anshun City.

REN Mei1, WANG Zhi-jie2, WANG Zhi-tai1*, ZENG Yu-jing1, HE Li-ying1   

  1. (1College of Forestry, Guizhou University, Guiyang 550025, China; 2College of Life Science, Guizhou University, Guiyang 550025, China).
  • Online:2018-10-10 Published:2018-10-10

摘要: 景观格局对生态过程的影响具有强烈的尺度依赖性,尺度的合理确定是决定景观格局与生态过程研究的关键。以黔中喀斯特典型山地城市安顺市为对象,在GIS与RS技术的支持下,从类型和景观两个层次分析景观格局的空间粒度效应,揭示不同景观格局指数随粒度变粗的变化特征,进而探明喀斯特山地城市景观生态研究的适宜空间粒度。结果表明:除SIDI、SIEI、TA外其余景观格局指数受空间粒度的影响显著,随粒度变粗,各指数随粒度变粗的响应可分为单调递减、单调递增、先上升后下降及基本稳定类型;大部分景观格局指数在20或100 m粒度下出现明显跃变,存在“临界阈”现象;对于安顺市中心规划区而言,进行景观格局分析的最佳尺度范围为5~20 m,适宜粒度为20 m;山体绿地在喀斯特山地城市绿地系统中占主导地位,其CA、TE、DE等7个景观格局指数的粒度响应曲线相似。综上,基于高分辨率影像的黔中喀斯特山地城市景观生态研究的适宜粒度为20 m。

关键词: 退化草原, 线虫丰度, 磷输入, 氮输入, 群落组成

Abstract: The influence of landscape pattern on ecological processes is scale-dependent. Reasonable determination of the scale is the key for studying landscape pattern and ecological process. Taking Anshun, a typical karst mountainous city in the central Guizhou, as the research object, we analyzed the spatial grain effect of landscape pattern at the levels of type and landscape with GIS and RS technology, to reveal the variation of different landscape pattern indices with the increases of grain size. Furthermore, we explored the optimal spatial grain size for the landscape ecological study in karst mountainous city. Spatial grain size significantly affected the landscape pattern indices except for Simpson’s diversity index (SIDI), Simpson’s evenness index (SIEI) and total area (TA). The responses of each index with increasing grain size could be divided into types of monotone decreasing, monotone increasing, fluctuating decline, and basic stability. Most of the landscape pattern indices had obvious inflection point at 20 or 100 m, with a “critical threshold”. For Anshun central planning area, the optimal scale range of landscape pattern analysis was 5 to 20 m, with the appropriate grain size being 20 m. Mountain green space occupied the dominant position in the karst mountainous urban green space system, and class area (CA), total edge (TE), edge density (ED) and the other four landscape pattern metrics had similar grain size response curves. In conclusion, the suitable granularity of urban landscape ecological research in karst mountain areas based on high-resolution images was 20 m.

Key words: phosphorus application, degraded grassland, nitrogen application, community composition, nematode abundance