Anisotropy analyses of population distribution patterns |
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Authors: | Wang Benyang Yu Shixiao and Wang Yongfan |
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Institution: | (1) School of Life Sciences, Sun Yat-sen University, Guangzhou, 510275, China |
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Abstract: | Direction-dependence, or anisotropy, of spatial distribution patterns of vegetation is rarely explored due to neglect of this
ecological phenomenon and the paucity of methods dealing with this issue. This paper proposes a new approach to anisotropy
analysis of spatial distribution patterns of plant populations on the basis of the data resampling technique (DRT) combined
with Ripley’s L index. Using the ArcView Geographic Information System (GIS) platform, a case study was carried out by selecting
the population of Pinus massoniana from a needle-and broad-leaved mixed forest community in the Heishiding Nature Reserve, Guangdong Province. Results showed
that the spatial pattern of the P. massoniana population was typically anisotropic with different patterns in different directions. The DRT was found to be an effective
approach to the anisotropy analysis of spatial patterns of plant populations. By employing resampling sub-datasets from the
original dataset in different directions, we could overcome the difficulty in the direct use of current non-angular methods
of pattern analysis.
Translated from Acta Scientialrum Naturalium Universitatis Sunyatseni, 2006, 45(2): 83–87 译自: 中山大学学报 (自然科学版)] |
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Keywords: | population spatial distribution pattern anisotropy analysis data resampling technique Ripley’ s L index |
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