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Análise espacial de um fragmento florestal baseada no mosaico de dirichlet

机译:基于Dirichlet的马赛克森林片段的空间分析

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The spatial pattern of trees affects a large number of physiological and ecological processes in a forest, including competition, distribution, size, growth and mortality of the species. Methods based on the Ripley's K function have been frequently used to characterize the spatial configuration of a forest. In this article we advocate to use methods that are based on areas of the Dirichlet's mosaic (function D) to describe the spatial distribution of trees. Due to the importance of Xylopia brasiliensis (Pindaíba) in the structure and dynamics of Semideciduous montana forests, this study assessed the K and D functions to describe the spatial distribution of this specie. Results showed that the estimators of the K and D functions, combined with Monte Carlo simulations, led to rejection of the null hypothessis of completely spatial randomness (p < 0,10 ) of the Xylopia brasiliensis in favor of the presence of clustering of the specie within the forest fragment.
机译:树木的空间模式会影响森林中的大量生理和生态过程,包括物种的竞争,分布,大小,生长和死亡率。基于Ripley的K功能的方法经常用于表征森林的空间配置。在本文中,我们主张使用基于Dirichlet的马赛克(功能D)的区域来描述树木的空间分布。由于Xylopia Brasiliensis(Pindaíba)在半阳天蒙大拿林的结构和动态的重要性,这项研究评估了K和D的功能来描述该物种的空间分布。结果表明,K和D功能的估计,与蒙特卡罗模拟相结合,导致拒绝Xylopia Brasiliensis的完全空间随机性(P <0,10)的零障碍,有利于组分物种的聚氨酯在森林片段内。

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