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首页> 外文期刊>Floresta >SPACE PATTERN OF FOREST SPECIES AND ITS RELATIONSHIP WITH AGRICULTURAL FACTORS AGROFLORESTAL SYSTEM
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SPACE PATTERN OF FOREST SPECIES AND ITS RELATIONSHIP WITH AGRICULTURAL FACTORS AGROFLORESTAL SYSTEM

机译：森林物种的空间格局及其与农业因子农业植被系统的关系。

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The objective of this work was to describe the spatial distribution pattern of the arboreal and regenerating forest stratum and its relationship with edaphic factors in a multistratified agroforestry system without management. The data were obtained by means of a census of the arboreal and regenerating plants, in which the variables diameter were measured at 1.30m of the soil and total height, besides the botanical identification. The plants of the arboreal stratum were grouped in diameter and height classes and the regenerating plants in height classes. In both strata, the horizontal structure indicators were estimated and the species of higher Importance Value Index (IVI) were selected to perform the spatial analysis. The K Ripley function was applied in the univariate case to test the hypothesis of complete randomness in the groups and in the arboreal and regenerating species of higher IVI. In the bivariate case, the Ripley K function was applied to test the hypothesis of complete spatial independence between groups or aggregate pattern species, with edaphic attributes. The results indicated random spatial pattern for most of the tested groups, with only the species Gliricidia sepium and Archontophoenix alexandrae with aggregate spatial pattern, up to 30m distance, in the arboreal and regenerating strata, respectively. However, no spatial relationship was observed between the pattern of distribution of the species and the soil factors of agroforestry system (SAF). In general, it is concluded that edaphic factors were fundamental in the development of plants, but not for the formation of aggregates.
机译：这项工作的目的是描述在没有管理的情况下，多层农林业系统中树木和再生林地层的空间分布格局及其与水生因子的关系。通过树木和再生植物的普查获得数据，除植物学鉴定外，在土壤和总高度的1.30m处测量变量直径。乔木层的植物按直径和高度分类，而再生植物按高度分类。在这两个层次中，都估计了水平结构指标，并选择了较高重要性值指数（IVI）的物种来进行空间分析。在单变量情况下应用K Ripley函数来检验各组以及较高IVI的树栖和再生物种中完全随机的假设。在双变量情况下，使用Ripley K函数来检验具有前卫属性的群体或集合模式物种之间完全空间独立的假设。结果表明，大多数受试群体的空间格局都是随机的，只有树种Gliricidia sepium和Alexontophoenix alexandrae在树栖地层和再生地层中的聚集空间格局最远为30m。然而，没有观察到物种分布模式与农林业系统土壤因子之间的空间关系。总的来说，得出结论，营养因子是植物发育的基础，而不是聚集体的形成。

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