地理科学

地理科学 ›› 2010, Vol. 30 ›› Issue (5): 742-747.doi: 10.13249/j.cnki.sgs.2010.05.742

• 论文 • 上一篇    下一篇

区域景观破碎化的多尺度空间变异研究——以贵州省乌江流域为例

高江波, 蔡运龙   

  1. 北京大学城市与环境学院, 北京 100871
  • 收稿日期:2010-02-13 修回日期:2010-04-10 出版日期:2010-09-20 发布日期:2010-09-20
  • 通讯作者: 蔡运龙(1948- ),男,贵州贵阳人,教授,主要从事自然地理学、自然资源学、土地科学、地理学理论与方法的教学和研究。E-mail: caiyl@urban.pku.edu.cn E-mail:caiyl@urban.pku.edu.cn
  • 基金资助:
    国家自然科学基金(40871047)、国家科技支撑计划子课题(2006BAC01A01-03)资助。

Spatial Heterogeneity of Landscape ragmentation at multi-scales —A Case Study in Wujang River Basin, Guizhou Province, China

GAO Jiang-bo, CAI Yun-long   

  1. College of Urban and Environmental Sciences, Peking University, Beijing 100871
  • Received:2010-02-13 Revised:2010-04-10 Online:2010-09-20 Published:2010-09-20

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被引次数

32

摘要： 有效揭示景观格局及其空间变异特征是研究景观功能和动态的基础。选择贵州省乌江流域为案例区,基于土地利用分类数据,采用GIS、景观格局分析和地统计学软件,探讨了该区景观破碎化的空间格局、变异特征及其尺度依存性。结果表明:景观破碎化空间变异与研究幅度呈现非常明显的幂率关系,且具有4 590 m的特征尺度。景观破碎化呈现一定的空间分布格局。结构性因素引起的空间变异起主要作用,参数呈现显著的空间自相关,数据序列较复杂。东北-西南方向和东-西方向上的分形维数较大,空间自相关距离较短。

Abstract: Effectively revealing landscape pattern and its spatial heterogeneity are basic for researches of landscape function and dynamic. Based on the land use classification data, this paper explored the spatial pattern, spatial heterogeneity and its scale-dependence for effective mesh size using ArcGIS 9.3, FRAGSTATS 3.3 and GS+7.0, with a case study of Wujiang River Basin in Guizhou Province, China. The results show that the relation between spatial heterogeneity of landscape fragmentation and extent exhibits significant power law with a characteristic scale of 4590 m. The regions with lower values of effective mesh size are the northeast mountain-hill area, the west of central hill-basin area and the north of west plateau-mountain area, which possess the similar characteristic of dissected topography; the regions with higher values of effective mesh size are the east of central hill-basin area and the north of west plateau-mountain area with comparatively subdued topography. The structural components such as topography and climate play the main role in the spatial heterogeneity; the data series is complex due to the influences of topography, climate, and human activities, and exhibits significant spatial auto-correlation with range of 33 km. The fractal dimensions are bigger, and the auto-correlation scales are smaller in the directions of northeast-southwest and east-west than the north-south and southeast-northwest directions. Isotropic heterogeneity and anisotropic heterogeneity are in accordance with the physical geographical characteristics. The results can provide a basis for biodiversity conservation, land use management and regional landscape planning and construction.

中图分类号: 

  • P901