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Fractals in Spatial Patterns of Vegetation Formations

Tsinghua Science and Technology 2006年第4期11卷 462-469页

作者：宋志远黄大明 Masae Shiyomi 王昱生 Shigeo Takahashi Hori Yoshimichi yasuo yamamuru 陈俊 Institute of Ecology Department of Biological Sciences and Biotechnology Tsinghua University Beijing 100084 China Faculty of Science Ibaraki University Bunkyo 2-1-1 Mito 310-8512 Japan Grassland Research Station College of Animal Science Northeast Agricultural University Harbin 150030 China National Institute of Livestock and Grassland Science 768 Senbonmatsu Nishinasuno Tochigi 329-2793 Japan

The spatial distribution patterns of species are always scale-dependent and spatially self-similar in ecological systems. In this work, vegetation distribution data collected from the vegetation map of the Xigaze region was analyzed using a box-counting method. The power law of the box-counting dimension （DB） across a range of scales （5-160 km） confirms the fractal patterns for most vegetation formations, while the fluctuations of the scale-specific DB among the different abundance groups indicate limitations of fractal coherence. The fractal method is shown to be a useful tool for measuring the distribution patterns of vegetation formations across scales, which provides important information for both species and habitat conservation, especially in landscape management.

关键词： area of occupancy box-counting dimension fractal scale vegetation formation

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Spatial Heterogeneity and Variability of a Large-Scale Vegetation Community Using a Power-Law Model

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Tsinghua Science and Technology 2005年第4期10卷 469-477页

作者：宋志远黄大明 SHIYOMI Masae 王昱生 TAKAHASHI Shigeo YOSHIMICHI Hori yamamuru yasuo 陈俊 Department of Biological Sciences and Biotechnology Tsinghua University Beijing 100084 China Faculty of Science Ibaraki University Bunkyo 2-1-1 Mito 310-8512 Japan College of Animal Science Northeast Agricultural University Harbin 150030 China National Institute of Livestock and Grassland Science 768 Senbonmatsu Nishinasuno Tochigi 329-2793 Japan

Spatial heterogeneity and stability are fundamental indices for describing vegetation communities. The spatial distribution characteristics of the vegetation in Nenjiang region of northeastern China were evaluated using a variance power-law model. The data fits the model well with estimates given for the levels of heterogeneity for not only single species but also the community as a whole. The linear regression indicates that the species in the community exhibit a consistently organized spatial pattern, as is often discovered in field surveys but rarely seen in artificial systems. The species deviations from the regression line, which exhibit a leptokurtic distribution, may reflect the variability of the community. Thus, the model provides a general tool for management and regulation of ecosystems, especially where there is human disturbances.

关键词： power-law model spatial heterogeneity community variability leptokurtic distribution resilience

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